| Sparrow Search Algorithm-optimized CNN–BiLSTM for lithium-ion battery capacity degradation prediction with SHAP-based interpretabilityCapacity fade / trajectory predictionScientific Reports · 2026.11.13 | Scientific Reports2026.11.13 | 摘要 | |
| Lithium battery state-of-health estimation and remaining useful lifetime prediction based on non-parametric aging model and particle filter algorithmRUL prediction · EOL / cycle life predictioneTransportation · 2026.11.13 | eTransportation2026.11.13 | 摘要 | |
| Ultra-early prediction of lithium-ion battery cycle life based on assembled capacity curve extracted from a single cycleEOL / cycle life predictionJournal of Power Sources · 2026.11.13 | Journal of Power Sources2026.11.13 | 摘要 | |
| Agentic AI for intelligent battery management systems: From diagnosis to autonomous control任务未确认Journal of Power Sources · 2026.11.13 | Journal of Power Sources2026.11.13 | 摘要 | |
| Multi-time scale feature extraction for early prediction of battery RUL and knee point using a hybrid deep learning approachRUL prediction · EOL / cycle life predictionJournal of Energy Storage · 2026.11.13 | Journal of Energy Storage2026.11.13 | 摘要 | |
| A parallel LTCN-PHA network for remaining useful life prediction of lithium-ion batteriesRUL predictionEnergy · 2026.11.12 | Energy2026.11.12 | 摘要 | |
| Reliability Analysis of Lithium-Ion Battery Aging Lifetime Based on Adaptive Progressive Type-II Censored Data任务未确认Entropy · 2026.11.12 | Entropy2026.11.12 | 全文 | |
| Remaining useful life prediction of lithium-ion batteries based on false nearest neighbors and a hybrid neural networkRUL predictionApplied Energy · 2026.11.12 | Applied Energy2026.11.12 | 摘要 | |
| Lithium-ion battery remaining useful life prediction using a two-phase degradation model with a dynamic change pointRUL predictionJournal of Energy Storage · 2026.11.12 | Journal of Energy Storage2026.11.12 | 摘要 | |
| Leakage-Resistant and Censor-Aware Evaluation of Capacity-Only Online Remaining-Useful-Life Prediction Across Heterogeneous Lithium-Ion Battery ProtocolsRUL prediction · SOH estimationBatteries · 2026.11.12 | Batteries2026.11.12 | 全文 | |
| State-of-health estimation and remaining useful life prediction of lithium-ion batteries using DnCNN-CNNRUL predictionJournal of Energy Storage · 2026.11.12 | Journal of Energy Storage2026.11.12 | 摘要 | |
| Battery Remaining Useful Life Prediction with Inheritance Particle FilteringRUL predictionEnergies · 2026.11.11 | Energies2026.11.11 | 全文 | |
| Hybrid data-driven method with TADBO-SVMD for lithium-ion battery remaining useful life predictionRUL predictionMeasurement Science and Technology · 2026.11.11 | Measurement Science and Technology2026.11.11 | 摘要 | |
| A novel remaining useful life prediction method for lithium-ion battery based on long short-term memory network optimized by improved sparrow search algorithmRUL predictionJournal of Energy Storage · 2026.11.11 | Journal of Energy Storage2026.11.11 | 摘要 | |
| Remaining useful life prediction of lithium-ion battery based on AConvST-LSTM-Net-TLRUL predictionPhysica Scripta · 2026.11.11 | Physica Scripta2026.11.11 | 摘要 | |
| IVCLNet: A Hybrid Deep Learning Framework Integrating Signal Decomposition and Attention-Enhanced CNN-LSTM for Lithium-Ion Battery SOH Prediction and RUL EstimationRUL prediction · SOH estimation · Capacity fade / trajectory predictionEnergies · 2026.11.11 | Energies2026.11.11 | 全文 | |
| Remaining useful life prediction of lithium-ion batteries based on data denoising and improved transformerRUL predictionJournal of Energy Storage · 2026.11.10 | Journal of Energy Storage2026.11.10 | 元数据 | |
| Degradation model and cycle life prediction for lithium-ion battery used in hybrid energy storage systemEOL / cycle life predictionEnergy · 2026.11.10 | Energy2026.11.10 | 摘要 | |
| Lithium-ion battery RUL prediction based on optimized VMD-SSA-PatchTST algorithmRUL predictionScientific Reports · 2026.11.10 | Scientific Reports2026.11.10 | 全文 | |
| Increasing the efficiency of li-ion battery cycle life testing with a partial-machine learning based end of life predictionEOL / cycle life predictionJournal of Energy Storage · 2026.11.10 | Journal of Energy Storage2026.11.10 | 摘要 | |
| Joint Prediction of Li-Ion Battery Cycle Life and Knee Point Based on Early Charging PerformanceEOL / cycle life predictionSymmetry · 2026.11.10 | Symmetry2026.11.10 | 全文 | |
| A Bayesian method for capacity degradation prediction of lithium-ion battery considering both within and cross group heterogeneityCapacity fade / trajectory predictionApplied Energy · 2026.11.10 | Applied Energy2026.11.10 | 摘要 | |
| Adaptive Fusion SOH Assessment of Lithium-Ion Batteries Based on EIS Multi-Band FeaturesSOH estimationJournal of Computing and Electronic Information Management · 2026.11.09 | Journal of Computing and Electronic Information Management2026.11.09 | 全文 | |
| A multi-strategy attention regression network for joint prediction of state of health and remaining useful life of lithium-ion batteries using only charging dataRUL prediction · SOH estimationJournal of Power Sources · 2026.11.09 | Journal of Power Sources2026.11.09 | 摘要 | |
| Battery Health Monitoring and Remaining Useful Life Prediction Techniques: A Review of TechnologiesRUL predictionBatteries · 2026.11.09 | Batteries2026.11.09 | 全文 | |
| Machine learning is rewiring Li-ion battery RUL prediction: A systematic review and outlookRUL predictionJournal of Energy Chemistry · 2026.11.09 | Journal of Energy Chemistry2026.11.09 | 摘要 | |
| RBBMO‐STOReAT‐net driven framework for effective SOC and SOH prediction in lithium‐ion batteries using electrochemical spectroscopySOH estimationThe Canadian Journal of Chemical Engineering · 2026.11.09 | The Canadian Journal of Chemical Engineering2026.11.09 | 摘要 | |
| Enhanced adaptive LSTM framework for robust early-life prediction of lithium-ion battery degradation任务未确认Results in Engineering · 2026.11.09 | Results in Engineering2026.11.09 | 未确认 | |
| PatchFormer: A novel patch-based transformer for accurate remaining useful life prediction of lithium-ion batteriesRUL predictionJournal of Power Sources · 2026.11.09 | Journal of Power Sources2026.11.09 | 摘要 | |
| Remaining useful life prediction of lithium-ion battery based on VMD-CNN-BiLSTM model and attention mechanismRUL predictionJournal of Energy Storage · 2026.11.08 | Journal of Energy Storage2026.11.08 | 摘要 | |
| Estimating the Health and State of Charge of Each Cell in a Second-Life Battery System from Field DataSOH estimationarXiv · 2026.11.08 | arXiv2026.11.08 | 全文 | |
| Self-supervised learning for electric vehicle battery remaining useful life prediction using real-world unlabeled dataRUL predictionEnergy · 2026.11.08 | Energy2026.11.08 | 摘要 | |
| Battery management strategies: An essential review for battery state of health monitoring techniquesSOH estimationJournal of Energy Storage · 2026.11.08 | Journal of Energy Storage2026.11.08 | 元数据 | |
| Digital twin of a battery for traction rolling stock and substations: remaining useful life estimation based on a dual Kalman filterRUL predictionModern Transportation Systems and Technologies · 2026.11.07 | Modern Transportation Systems and Technologies2026.11.07 | 摘要 | |
| A Review of State-of-Health Estimation and Prediction Methods for Lithium-Ion Traction Batteries in Vehicular Applications: Task Definition, Benchmark Evaluation, and Deployment ChallengesRUL prediction · SOH estimationComputers and artificial intelligence. · 2026.11.07 | Computers and artificial intelligence.2026.11.07 | 全文 | |
| Physics‐Informed Meta‐Learning With Graph Attention for Lithium‐Ion Battery Remaining Useful Life PredictionRUL predictionEnergy Storage · 2026.11.07 | Energy Storage2026.11.07 | 摘要 | |
| A Bayesian approach for Li-Ion battery capacity fade modeling and cycles to failure prognosticsCapacity fade / trajectory predictionJournal of Power Sources · 2026.11.07 | Journal of Power Sources2026.11.07 | 摘要 | |
| Industrial Ageing of Field-Deployed Lead–Acid Batteries I—A Case Study of Post-Industrial VRLA BatteriesSOH estimationApplied Sciences · 2026.11.07 | Applied Sciences2026.11.07 | 摘要 | |
| A naive Bayes model for robust remaining useful life prediction of lithium-ion batteryRUL predictionApplied Energy · 2026.11.07 | Applied Energy2026.11.07 | 摘要 | |
| Remaining useful life assessment of lithium-ion batteries in implantable medical devicesRUL predictionJournal of Power Sources · 2026.11.07 | Journal of Power Sources2026.11.07 | 摘要 | |
| A Systematic Review of Battery Digital Twins for Thermal Safety, State Estimation, and Remaining Useful Life Prediction towards Predictive MaintenanceRUL predictionResults in Engineering · 2026.11.07 | Results in Engineering2026.11.07 | 元数据 | |
| Attention Mechanism-Based Neural Network for Prediction of Battery Cycle Life in the Presence of Missing DataEOL / cycle life predictionBatteries · 2026.11.06 | Batteries2026.11.06 | 全文 | |
| Corrected State-of-Health Representation for Lithium-Ion Battery Degradation Forecasting via Model-Parameter Identification and Multisource Health Indicator Fusion任务未确认IEEE Sensors Journal · 2026.11.06 | IEEE Sensors Journal2026.11.06 | 摘要 | |
| Capacity and SOH Prediction of Lithium-Ion Batteries Using Various Mathematical Forms of EIS with Neural NetworksSOH estimation · Capacity fade / trajectory predictionBatteries · 2026.11.06 | Batteries2026.11.06 | 摘要 | |
| Prediction of remaining useful life for a composite electrode lithium ion battery cell using an electrochemical model to estimate the state of healthRUL prediction · SOH estimationJournal of Power Sources · 2026.11.06 | Journal of Power Sources2026.11.06 | 摘要 | |
| Remaining useful life prediction of lithium-ion battery packs using prior cell degradation and limited pack-level dataRUL predictionEnergy · 2026.11.06 | Energy2026.11.06 | 摘要 | |
| One-shot battery degradation trajectory prediction with deep learningCapacity fade / trajectory predictionJournal of Power Sources · 2026.11.06 | Journal of Power Sources2026.11.06 | 摘要 | |
| An asymmetric encoder–decoder model for Zn-ion battery lifetime predictionEOL / cycle life predictionEnergy Reports · 2026.11.05 | Energy Reports2026.11.05 | 摘要 | |
| Signal-quality-aware adaptive prediction for lithium-ion battery remaining useful life under noisy and resource-constrained conditionsRUL predictionMeasurement · 2026.11.05 | Measurement2026.11.05 | 摘要 | |
| A Hierarchical Model for Lithium-Ion Battery Degradation PredictionCapacity fade / trajectory predictionIEEE Transactions on Reliability · 2026.11.05 | IEEE Transactions on Reliability2026.11.05 | 摘要 | |
| Method for estimating capacity and predicting remaining useful life of lithium-ion batteryRUL predictionApplied Energy · 2026.11.05 | Applied Energy2026.11.05 | 摘要 | |
| A hybrid quantum neural network and classical gated recurrent unit for battery state of health forecasting incorporating SHAP analysisSOH estimation · SOF / health forecastingJournal of Energy Storage · 2026.11.05 | Journal of Energy Storage2026.11.05 | 摘要 | |
| A Data-Driven Framework for Lithium-Ion Battery Remaining Useful Life Prediction Using CNN and Machine Learning ModelsRUL predictionBatteries · 2026.11.05 | Batteries2026.11.05 | 全文 | |
| Simplified modeling approach for predicting the remaining useful life of EV batteries in second-life applicationsRUL prediction · SOH estimationFuture Batteries · 2026.11.04 | Future Batteries2026.11.04 | 摘要 | |
| Enhancing real-time degradation prediction of lithium-ion battery: A digital twin framework with CNN-LSTM-attention modelCapacity fade / trajectory predictionEnergy · 2026.11.04 | Energy2026.11.04 | 摘要 | |
| Li-ion battery capacity prediction using improved temporal fusion transformer modelCapacity fade / trajectory predictionEnergy · 2026.11.04 | Energy2026.11.04 | 摘要 | |
| Remaining useful life prediction and cycle life test optimization for multiple-formula battery: A method based on multi-source transfer learningRUL prediction · EOL / cycle life predictionReliability Engineering & System Safety · 2026.11.04 | Reliability Engineering & System Safety2026.11.04 | 摘要 | |
| Battery Lifetime Prediction via Neural Networks with Discharge Capacity and State of HealthRUL prediction · SOH estimation · EOL / cycle life predictionEnergies · 2026.11.04 | Energies2026.11.04 | 全文 | |
| Edge Impulse Based ML-Tensor Flow Method for Precise Prediction of Remaining Useful Life (RUL) of EV BatteriesRUL predictionJournal of Power and Energy Engineering · 2026.11.04 | Journal of Power and Energy Engineering2026.11.04 | 全文 | |
| The challenge and opportunity of battery lifetime prediction from field dataEOL / cycle life predictionJoule · 2026.11.04 | Joule2026.11.04 | 全文 | |
| An enhanced particle filter technology for battery system state estimation and RUL predictionRUL predictionMeasurement · 2026.11.04 | Measurement2026.11.04 | 摘要 | |
| Battery capacity knee-onset identification and early prediction using degradation curvatureEOL / cycle life predictionJournal of Power Sources · 2026.11.04 | Journal of Power Sources2026.11.04 | 全文 | |
| Lithium battery remaining useful life prediction using VMD fusion with attention mechanism and TCNRUL predictionJournal of Energy Storage · 2026.11.03 | Journal of Energy Storage2026.11.03 | 摘要 | |
| Lithium-ion battery remaining useful life estimation with an optimized Relevance Vector Machine algorithm with incremental learningRUL predictionMeasurement · 2026.11.03 | Measurement2026.11.03 | 摘要 | |
| A transferable lithium-ion battery remaining useful life prediction method from cycle-consistency of degradation trendRUL predictionJournal of Power Sources · 2026.11.03 | Journal of Power Sources2026.11.03 | 摘要 | |
| An RUL prediction approach for lithium-ion battery based on SADE-MESNRUL predictionApplied Soft Computing · 2026.11.03 | Applied Soft Computing2026.11.03 | 全文 | |
| Improving electric vehicles sustainability: Accurate forecasting of lithium-ion battery health using machine learning models任务未确认Journal of Energy Storage · 2026.11.03 | Journal of Energy Storage2026.11.03 | 摘要 | |
| Physics-informed battery degradation prediction: Forecasting charging curves using one-cycle dataCapacity fade / trajectory predictionJournal of Energy Chemistry · 2026.11.03 | Journal of Energy Chemistry2026.11.03 | 摘要 | |
| Lithium-ion battery state of health monitoring and remaining useful life prediction based on support vector regression-particle filterRUL prediction · SOH estimationJournal of Power Sources · 2026.11.03 | Journal of Power Sources2026.11.03 | 摘要 | |
| Hybrid Battery Prognostics and Reliability Assessment for Li-Ion Batteries under Dynamic Driving ConditionsRUL prediction · EOL / cycle life predictionResults in Engineering · 2026.11.03 | Results in Engineering2026.11.03 | 全文 | |
| Lithium-ion battery state of health prediction enhanced by a Grey Model-long short term memory with dynamic attention and gated mechanismsSOH estimationElectric Power Systems Research · 2026.11.03 | Electric Power Systems Research2026.11.03 | 摘要 | |
| Enhancing electric vehicle battery lifespan: integrating active balancing and machine learning for precise RUL estimationRUL predictionScientific Reports · 2026.11.03 | Scientific Reports2026.11.03 | 全文 | |
| Cross-domain thermal-health prediction and early warning for lithium-ion batteries via dual-stream networkSOH estimationFrontiers in Energy Research · 2026.11.02 | Frontiers in Energy Research2026.11.02 | 全文 | |
| Battery Lifetime Prognostics任务未确认Joule · 2026.11.02 | Joule2026.11.02 | 摘要 | |
| A deep learning approach to optimize remaining useful life prediction for Li-ion batteriesRUL predictionScientific Reports · 2026.11.02 | Scientific Reports2026.11.02 | 全文 | |
| Machine learning in state of health and remaining useful life estimation: Theoretical and technological development in battery degradation modellingRUL prediction · SOH estimationRenewable and Sustainable Energy Reviews · 2026.11.02 | Renewable and Sustainable Energy Reviews2026.11.02 | 全文 | |
| Development of a Data-Driven Method for Online Battery Remaining-Useful-Life PredictionRUL predictionBatteries · 2026.11.01 | Batteries2026.11.01 | 全文 | |
| A flexible RUL prediction method based on poly-cell LSTM with applications to lithium battery dataRUL predictionReliability Engineering & System Safety · 2026.11.01 | Reliability Engineering & System Safety2026.11.01 | 摘要 | |
| IC2ML: Unified battery state-of-health, degradation trajectory and remaining useful life prediction via intra-cycle and inter-cycle enhanced machine learningRUL prediction · Capacity fade / trajectory predictionJournal of Power Sources · 2026.11.01 | Journal of Power Sources2026.11.01 | 摘要 | |
| The importance of degradation mode analysis in parameterising lifetime prediction models of lithium-ion battery degradationEOL / cycle life prediction · Capacity fade / trajectory predictionNature Communications · 2026.11.01 | Nature Communications2026.11.01 | 全文 | |
| Battery SOH estimation and RUL prediction framework based on variable forgetting factor online sequential extreme learning machine and particle filterRUL prediction · SOH estimationJournal of Energy Storage · 2026.11.01 | Journal of Energy Storage2026.11.01 | 摘要 | |
| Lifetime prediction and maintenance assessment of Lithium-ion batteries based on combined information of discharge voltage curves and capacity fadeEOL / cycle life prediction · Capacity fade / trajectory predictionJournal of Energy Storage · 2026.10.31 | Journal of Energy Storage2026.10.31 | 摘要 | |
| Battery lifetime prediction across diverse ageing conditions with inter-cell deep learningEOL / cycle life predictionNature Machine Intelligence · 2026.10.31 | Nature Machine Intelligence2026.10.31 | 全文 | |
| Lithium-ion battery RUL prediction based on sequence decomposition and the PatchTST-MKAN modelRUL predictionEngineering Research Express · 2026.10.31 | Engineering Research Express2026.10.31 | 摘要 | |
| A comprehensive review of data-driven electrochemical impedance spectroscopy (EIS) approaches for Li-ion battery SoH and RUL estimationsRUL prediction · SOH estimationRenewable and Sustainable Energy Reviews · 2026.10.31 | Renewable and Sustainable Energy Reviews2026.10.31 | 摘要 | |
| Review on data-driven state of health estimation methods for lithium-ion batteriesSOH estimationWang, S, Zhou, J, Li, L, Zhang, L, Fernandez, C & Blaabjerg, F 2026, 'Review on data-driven state of health estimation methods for lithium-ion batteries', Journal of Power Sources, vol. 690, 240783. https://doi.org/10.1016/j.jpowsour.2026.240783 · 2026.10.31 | Wang, S, Zhou, J, Li, L, Zhang, L, Fernandez, C & Blaabjerg, F 2026, 'Review on data-driven state of health estimation methods for lithium-ion batteries', Journal of Power Sources, vol. 690, 240783. https://doi.org/10.1016/j.jpowsour.2026.2407832026.10.31 | 摘要 | |
| Long-Range Dependent Stochastic Prediction Model for Lithium-Ion Battery RUL Prediction Using CC-CV DatasetRUL prediction · EOL / cycle life predictionFractal and Fractional · 2026.10.30 | Fractal and Fractional2026.10.30 | 摘要 | |
| When Labels Shift: Few-Shot Fine-Tuning Versus Unsupervised Domain Adaptation for Cross-Dataset Battery Cycle-Life PredictionEOL / cycle life predictionApplied and Computational Engineering · 2026.10.30 | Applied and Computational Engineering2026.10.30 | 全文 | |
| An empirical analysis of degradation aware machine learning models for early life prediction of lithium-ion batteriesEOL / cycle life predictionJournal of Energy Storage · 2026.10.30 | Journal of Energy Storage2026.10.30 | 摘要 | |
| A Dual-Axis Enhanced State-Space Model for Remaining Useful Life Prediction of Lithium-ion BatteriesRUL predictionJournal of The Electrochemical Society · 2026.10.29 | Journal of The Electrochemical Society2026.10.29 | 摘要 | |
| Mechanistic Coupling of Degradation Modes and Impedance Growth of Lithium-Ion Batteries for Kneepoint Prediction任务未确认Journal of The Electrochemical Society · 2026.10.29 | Journal of The Electrochemical Society2026.10.29 | 全文 | |
| Augmented model-based framework for battery remaining useful life predictionRUL predictionApplied Energy · 2026.10.28 | Applied Energy2026.10.28 | 摘要 | |
| Research on State Evaluation Method of Energy Storage Lithium-Ion Batteries Based on Multi-Source Non-Invasive Big DataSOH estimationJournal of Environmental & Earth Sciences · 2026.10.28 | Journal of Environmental & Earth Sciences2026.10.28 | 摘要 | |
| Prediction of Battery SOH and RUL Based on Cooperative Characteristics in Voltage-Temperature-Time DimensionsRUL prediction · SOH estimationJournal of The Electrochemical Society · 2026.10.28 | Journal of The Electrochemical Society2026.10.28 | 摘要 | |
| Theory of battery ageing in a lithium-ion battery: Capacity fade, nonlinear ageing and lifetime predictionEOL / cycle life prediction · Capacity fade / trajectory predictionJournal of Power Sources · 2026.10.28 | Journal of Power Sources2026.10.28 | 摘要 | |
| Online data-driven battery life prediction and quick classification based on partial charging data within 10 min任务未确认Journal of Power Sources · 2026.10.27 | Journal of Power Sources2026.10.27 | 摘要 | |
| Remaining Useful Life Prediction of Retired Lithium-Ion Batteries Under Second-Life Energy Storage Conditions Using Wavelet Packet Energy EntropyRUL predictionApplied Sciences · 2026.10.27 | Applied Sciences2026.10.27 | 全文 | |
| A meta-learning framework for battery lifetime prediction across unseen operating conditionsEOL / cycle life predictionEnergy Storage Materials · 2026.10.27 | Energy Storage Materials2026.10.27 | 元数据 | |
| Localized EIS Data for Capacity and SOH Prediction With Neural NetworksSOH estimation · EOL / cycle life predictionBattery Energy · 2026.10.26 | Battery Energy2026.10.26 | 摘要 | |
| ElectroPredictNet: Accurate estimation of battery state of charge and state of health using advanced deep learning modelsSOH estimationEnergy Sources Part A Recovery Utilization and Environmental Effects · 2026.10.26 | Energy Sources Part A Recovery Utilization and Environmental Effects2026.10.26 | 摘要 | |
| AI-Enhanced Battery Management System with Real-Time SOC/SOH Estimation and IoT-Based Autonomous Load Control: Hardware Implementation on ESP32 with MQTT and ML InferenceSOH estimationInternational Journal of Computer Information Systems and Industrial Management Applications · 2026.10.26 | International Journal of Computer Information Systems and Industrial Management Applications2026.10.26 | 摘要 | |
| Short-Term Capacity Estimation of 4S LiFePO 4 Battery Under Constant Current Cycling Based on Temporal Convolutional NetworkEOL / cycle life predictionJTERA (Jurnal Teknologi Rekayasa) · 2026.10.26 | JTERA (Jurnal Teknologi Rekayasa)2026.10.26 | 全文 | |
| Synchronous state of health estimation and remaining useful lifetime prediction of Li-Ion battery through optimized relevance vector machine frameworkRUL prediction · SOH estimation · EOL / cycle life predictionEnergy · 2026.10.26 | Energy2026.10.26 | 摘要 | |
| A Hybrid Method for Remaining Useful Life Estimation of Lithium-Ion Battery with Regeneration PhenomenaRUL prediction · SOH estimationApplied Sciences · 2026.10.25 | Applied Sciences2026.10.25 | 全文 | |
| Long Short-Term Memory Network with Transfer Learning for Lithium-ion Battery Capacity Fade and Cycle Life PredictionEOL / cycle life prediction · Capacity fade / trajectory predictionApplied Energy · 2026.10.25 | Applied Energy2026.10.25 | 摘要 | |
| MARS: Feature-guided physics-informed deep learning for real-time battery health and lifetime predictionEOL / cycle life predictionIEEE Transactions on Transportation Electrification · 2026.10.25 | IEEE Transactions on Transportation Electrification2026.10.25 | 摘要 | |
| Evaluating isothermal degradation error in lithium-ion batteries under WLTP drive cyclesSOH estimationApplied Energy · 2026.10.25 | Applied Energy2026.10.25 | 摘要 | |
| Life Prediction of Energy Storage LFP Batteries Based on Voltage Segment Health Indicators: A Comparative Study of Data-Driven and Arrhenius-Data Fusion ModelsRUL prediction · EOL / cycle life predictionBatteries · 2026.10.25 | Batteries2026.10.25 | 摘要 | |
| Remaining useful life prediction of lithium-ion battery based on real-time decomposition and tightly coupled convolutional informerRUL predictionRenewable Energy · 2026.10.24 | Renewable Energy2026.10.24 | 摘要 | |
| Correlation-aware kernel selection for multi-scale feature fusion of convolutional neural networks in multivariate and multi-step time series forecasting: Application to Li-ion battery state of health forecastingSOH estimation · SOF / health forecastingJournal of Energy Storage · 2026.10.24 | Journal of Energy Storage2026.10.24 | 摘要 | |
| Particle Swarm Optimization-Based Feature Weighting and Early-Cycle Remaining Useful Life Prediction of Lithium-Ion BatteriesRUL predictionVehicles · 2026.10.24 | Vehicles2026.10.24 | 全文 | |
| Physics-based prognostics of implantable-grade lithium-ion battery for remaining useful life predictionRUL predictionJournal of Power Sources · 2026.10.24 | Journal of Power Sources2026.10.24 | 全文 | |
| Pretrained battery transformer (PBT): a foundation model for battery life predictionEOL / cycle life predictionEnergy & Environmental Science · 2026.10.24 | Energy & Environmental Science2026.10.24 | 摘要 | |
| Exploring Tiny Recursive Models for Time- Series Regression: Battery State-of-Health PredictionSOH estimationGothenburg University Publications Electronic Archive (Gothenburg University) · 2026.10.24 | Gothenburg University Publications Electronic Archive (Gothenburg University)2026.10.24 | 摘要 | |
| A new hybrid method for the prediction of the remaining useful life of a lithium-ion batteryRUL predictionApplied Energy · 2026.10.23 | Applied Energy2026.10.23 | 元数据 | |
| Battery state of health modeling and remaining useful life prediction through time series modelRUL prediction · SOH estimationApplied Energy · 2026.10.23 | Applied Energy2026.10.23 | 摘要 | |
| Causal Inference-Based Matching Networks Time-series Prediction Method Under Small Sample Data: Battery Remaining Useful Life Prediction as a Case StudyRUL predictionMeasurement Science and Technology · 2026.10.23 | Measurement Science and Technology2026.10.23 | 摘要 | |
| SOH Estimation of Lithium-Ion Batteries Using a Residual Multilayer Perceptron-Based, Physics-Informed Neural Network for the Battery Management SystemSOH estimation · EOL / cycle life prediction · Capacity fade / trajectory predictionBatteries · 2026.10.23 | Batteries2026.10.23 | 摘要 | |
| Remaining useful life prediction of lithium-ion batteries using a novel particle flow filter framework with grey modelRUL prediction · SOH estimationScientific Reports · 2026.10.22 | Scientific Reports2026.10.22 | 全文 | |
| Remaining useful life prediction of high-capacity lithium-ion batteries based on incremental capacity analysis and Gaussian kernel function optimizationRUL predictionScientific Reports · 2026.10.22 | Scientific Reports2026.10.22 | 全文 | |
| An online dual filters RUL prediction method of lithium-ion battery based on unscented particle filter and least squares support vector machineRUL predictionMeasurement · 2026.10.22 | Measurement2026.10.22 | 摘要 | |
| Remaining useful-life prediction of lithium battery based on neural-network ensemble via conditional variational autoencoder任务未确认Applied Intelligence · 2026.10.22 | Applied Intelligence2026.10.22 | 摘要 | |
| Remaining Useful Battery Life Prediction for UAVs based on Machine Learning任务未确认IFAC-PapersOnLine · 2026.10.22 | IFAC-PapersOnLine2026.10.22 | 全文 | |
| Insights and reviews on battery lifetime prediction from research to practiceEOL / cycle life predictionJournal of Energy Chemistry · 2026.10.22 | Journal of Energy Chemistry2026.10.22 | 摘要 | |
| Unified Explicit–Implicit Degradation Dynamics with Physics-Informed Kolmogorov–Arnold Networks for Lithium-Ion Battery SOH Estimation and RUL Prediction Under Different Charging ProtocolsRUL prediction · SOH estimationEnergies · 2026.10.22 | Energies2026.10.22 | 全文 | |
| Remaining useful life distribution prediction framework for lithium-ion battery fused prior knowledge and monitoring dataRUL predictionMeasurement Science and Technology · 2026.10.22 | Measurement Science and Technology2026.10.22 | 摘要 | |
| Lithium battery SOH prediction based on modal decomposition and optimized transformer-bilstm framework with multi-strategy adaptive beaver behavior optimizerSOH estimationDiscover Applied Sciences · 2026.10.22 | Discover Applied Sciences2026.10.22 | 全文 | |
| Satellite lithium-ion battery remaining useful life estimation with an iterative updated RVM fused with the KF algorithmRUL predictionChinese Journal of Aeronautics · 2026.10.22 | Chinese Journal of Aeronautics2026.10.22 | 全文 | |
| A Remaining Useful Life Prediction of Lithium-Ion Batteries via Improved Dream Optimization Algorithm-Tuned LSTM NetworksRUL predictionInformatica · 2026.10.21 | Informatica2026.10.21 | 全文 | |
| Feature driven machine learning framework for accurate and computationally efficient remaining useful life prediction of lithium-ion batteriesRUL predictionScientific Reports · 2026.10.21 | Scientific Reports2026.10.21 | 摘要 | |
| Simulation-based state and health co-estimation for battery–supercapacitor hybrid energy storage systemsSOH estimationScientific Reports · 2026.10.21 | Scientific Reports2026.10.21 | 摘要 | |
| Battery Remaining Useful Life Prediction Using Machine Learning Models: A Comparative StudyRUL prediction · EOL / cycle life prediction · Capacity fade / trajectory predictionInformation · 2026.10.21 | Information2026.10.21 | 摘要 | |
| Forecasting battery degradation trajectory under domain shift with domain generalizationCapacity fade / trajectory predictionEnergy Storage Materials · 2026.10.21 | Energy Storage Materials2026.10.21 | 摘要 | |
| A transformer-based hybrid method with multi-feature for lithium battery remaining useful life predictionRUL predictionJournal of Power Sources · 2026.10.20 | Journal of Power Sources2026.10.20 | 摘要 | |
| Remaining useful life prediction of lithium-ion battery based on improved cuckoo search particle filter and a novel state of charge estimation methodRUL predictionJournal of Power Sources · 2026.10.20 | Journal of Power Sources2026.10.20 | 摘要 | |
| Evaluating Deep Learning Models for Lithium-Ion Battery RUL Prediction via Unified Benchmarks: A Comparative StudyRUL predictionEnergies · 2026.10.20 | Energies2026.10.20 | 摘要 | |
| Multi-Source Impedance and Discharge Feature Learning for Cross-Battery State-of-Health Estimation of Lithium-Ion BatteriesSOH estimationBatteries · 2026.10.20 | Batteries2026.10.20 | 摘要 | |
| BO-PatchDiffFormer with Interpretable Feature Segments for State of Health Estimation of Lithium-Ion BatteriesSOH estimationEnergies · 2026.10.20 | Energies2026.10.20 | 摘要 | |
| Remaining useful life and state of health prediction for lithium batteries based on differential thermal voltammetry and a deep-learning modelRUL prediction · SOH estimationJournal of Power Sources · 2026.10.19 | Journal of Power Sources2026.10.19 | 摘要 | |
| Joint estimation of lithium battery health status and remaining useful life based on convolutional neural networks-long short-term memory networks-locally weighted scatterplot smoothingRUL predictionJournal of Power Sources · 2026.10.19 | Journal of Power Sources2026.10.19 | 摘要 | |
| Federated multi-modal data fusion for enhanced state of health forecasting in battery electric vehicle fleets incorporating vehicle-to-grid operationsSOH estimation · SOF / health forecastingScientific Reports · 2026.10.19 | Scientific Reports2026.10.19 | 摘要 | |
| Battery lifetime prediction using surface temperature features from early cycle dataEOL / cycle life predictionEnergy & Environmental Science · 2026.10.19 | Energy & Environmental Science2026.10.19 | 摘要 | |
| Lithium-ion battery SOH estimation based on degradation physics constraints and cross-attention Transformer-GRUSOH estimationScientific Reports · 2026.10.19 | Scientific Reports2026.10.19 | 摘要 | |
| A lithium-ion battery remaining useful life prediction method based on unscented particle filter and optimal combination strategyRUL predictionJournal of Energy Storage · 2026.10.18 | Journal of Energy Storage2026.10.18 | 摘要 | |
| Long-range battery state-of-health and end-of-life prediction with neural networks and feature engineering任务未确认Applied Energy · 2026.10.18 | Applied Energy2026.10.18 | 摘要 | |
| A Lithium-Ion Battery Capacity and RUL Prediction Fusion Method Based on Decomposition Strategy and GRURUL prediction · Capacity fade / trajectory predictionBatteries · 2026.10.18 | Batteries2026.10.18 | 全文 | |
| Remaining Capacity of LFP and NMC Batteries—Extensive Analysis of Commercially Available BEV Models in European UnionSOH estimation · EOL / cycle life predictionApplied Sciences · 2026.10.18 | Applied Sciences2026.10.18 | 全文 | |
| DpMamba: A Dual-Path State Space Model for Reliable Remaining Useful Life Prediction of Lithium-Ion BatteriesRUL prediction · EOL / cycle life prediction · Capacity fade / trajectory predictionMeasurement Science and Technology · 2026.10.18 | Measurement Science and Technology2026.10.18 | 摘要 | |
| Machine learning and neural network supported state of health simulation and forecasting model for lithium-ion batterySOH estimationFrontiers in Energy · 2026.10.17 | Frontiers in Energy2026.10.17 | 摘要 | |
| An online method for lithium-ion battery remaining useful life estimation using importance sampling and neural networksRUL predictionApplied Energy · 2026.10.17 | Applied Energy2026.10.17 | 摘要 | |
| A novel multistage Support Vector Machine based approach for Li ion battery remaining useful life estimationRUL predictionApplied Energy · 2026.10.17 | Applied Energy2026.10.17 | 摘要 | |
| A Reference-Based Feature Representation Approach for Battery Remaining Useful Life Prediction Using K-Nearest Neighbors RegressionRUL predictionSivas Cumhuriyet Üniversitesi Bilim ve Teknoloji Dergisi. · 2026.10.17 | Sivas Cumhuriyet Üniversitesi Bilim ve Teknoloji Dergisi.2026.10.17 | 全文 | |
| Joint prediction of SOH and RUL of lithium-ion batteries using single-cycle charging dataRUL prediction · SOH estimationEnergy · 2026.10.17 | Energy2026.10.17 | 摘要 | |
| Deep Learning for Lithium-Ion Battery State of Health Estimation via Explainable Feature ScreeningSOH estimationJournal of The Electrochemical Society · 2026.10.17 | Journal of The Electrochemical Society2026.10.17 | 摘要 | |
| A Hybrid Exponential Smoothing and LSTM Approach With Double Lightning Search for Enhanced Prediction of Lithium‐Ion Battery Remaining Useful LifeRUL prediction · SOH estimation · EOL / cycle life prediction · Capacity fade / trajectory predictionBattery Energy · 2026.10.17 | Battery Energy2026.10.17 | 摘要 | |
| Physics-Informed Neural Networks with Double-Exponential Model for Battery State-of-Health ForecastingSOF / health forecastingJournal of Electrical Engineering & Technology · 2026.10.17 | Journal of Electrical Engineering & Technology2026.10.17 | 元数据 | |
| Lithium-ion battery health state and remaining useful life prediction based on hybrid model MFE-GRU-TCARUL predictionJournal of Energy Storage · 2026.10.16 | Journal of Energy Storage2026.10.16 | 摘要 | |
| Early remaining-useful-life prediction applying discrete wavelet transform combined with improved semi-empirical model for high-fidelity in battery energy storage system任务未确认Energy · 2026.10.16 | Energy2026.10.16 | 元数据 | |
| Experimental Validation and Cross‐Scale Evaluation of Battery Capacity Degradation Techniques for Electric VehiclesCapacity fade / trajectory predictionEnergy Storage · 2026.10.16 | Energy Storage2026.10.16 | 摘要 | |
| Towards the swift prediction of the remaining useful life of lithium-ion batteries with end-to-end deep learningRUL predictionApplied Energy · 2026.10.16 | Applied Energy2026.10.16 | 摘要 | |
| A fusion method for predicting the remaining useful life of lithium-ion batteries based on IMMUKF and WAVENNRUL predictionMeasurement and Control · 2026.10.16 | Measurement and Control2026.10.16 | 摘要 | |
| Statistical Learning for Accurate and Interpretable Battery Lifetime PredictionEOL / cycle life predictionJournal of The Electrochemical Society · 2026.10.16 | Journal of The Electrochemical Society2026.10.16 | 全文 | |
| An Integrated Probabilistic Approach to Lithium-Ion Battery Remaining Useful Life EstimationRUL predictionIEEE Transactions on Instrumentation and Measurement · 2026.10.16 | IEEE Transactions on Instrumentation and Measurement2026.10.16 | 摘要 | |
| An Integrated Method of the Future Capacity and RUL Prediction for Lithium-Ion Battery PackRUL predictionIEEE Transactions on Vehicular Technology · 2026.10.16 | IEEE Transactions on Vehicular Technology2026.10.16 | 摘要 | |
| Relational graph–transformer network for joint state-of-charge and state-of-health estimation in lithium-ion batteries任务未确认Journal of Power Sources · 2026.10.16 | Journal of Power Sources2026.10.16 | 摘要 | |
| SOC-agnostic rapid state-of-health estimation of lithium-ion batteries任务未确认Applied Energy · 2026.10.15 | Applied Energy2026.10.15 | 摘要 | |
| Empirical model, capacity recovery-identification correction and machine learning co-driven Li-ion battery remaining useful life predictionRUL predictionJournal of Energy Storage · 2026.10.15 | Journal of Energy Storage2026.10.15 | 摘要 | |
| Piecewise Arrhenius–Long Short-Term Memory Residual Correction Modeling for Whole-Life State of Health Estimation and Remaining Useful Life Prediction of Lithium-Ion BatteriesRUL prediction · SOH estimationEng—Advances in Engineering · 2026.10.15 | Eng—Advances in Engineering2026.10.15 | 摘要 | |
| AI-driven lithium-ion battery health prediction: a review of SOC, SOH and RUL estimation techniquesRUL prediction · SOH estimationFrontiers in Artificial Intelligence · 2026.10.15 | Frontiers in Artificial Intelligence2026.10.15 | 全文 | |
| Lithium-ion battery capacity and remaining useful life prediction using board learning system and long short-term memory neural networkRUL predictionJournal of Energy Storage · 2026.10.14 | Journal of Energy Storage2026.10.14 | 摘要 | |
| Systematic feature design for cycle life prediction of lithium-ion batteries during formationEOL / cycle life predictionJoule · 2026.10.14 | Joule2026.10.14 | 全文 | |
| Early prediction of battery remaining useful life using CNN-XGBoost model and Coati optimization algorithmRUL prediction · EOL / cycle life predictionJournal of Energy Storage · 2026.10.14 | Journal of Energy Storage2026.10.14 | 摘要 | |
| Predicting BESS Degradation with Uncertainty Quantification: A Probabilistic Framework for Battery Energy Storage SystemsSOH estimationarXiv · 2026.10.14 | arXiv2026.10.14 | 全文 | |
| Remaining useful life prediction of lithium-ion batteries based on peak interval features and deep learningRUL predictionJournal of Energy Storage · 2026.10.13 | Journal of Energy Storage2026.10.13 | 元数据 | |
| Exploring Second Life Potential of Retired EV Batteries: Data-Driven Criteria Development using Beta Variational Autoencoders and GMM Clustering任务未确认International Journal of Engineering Trends and Technology · 2026.10.13 | International Journal of Engineering Trends and Technology2026.10.13 | 全文 | |
| State-of-health estimation and remaining useful life prediction for the lithium-ion battery based on a variant long short term memory neural networkRUL predictionJournal of Power Sources · 2026.10.13 | Journal of Power Sources2026.10.13 | 元数据 | |
| Application of Machine Learning in Low‐Carbon Economy: A Comprehensive Review of Predicting Cycle Life of Lithium/Sodium‐Ion BatteriesEOL / cycle life predictionCarbon Neutralization · 2026.10.12 | Carbon Neutralization2026.10.12 | 摘要 | |
| A systematic review of signal decomposition algorithms in battery prognostics and health management: Advances and prospectsRUL prediction · SOH estimationMeasurement Science and Technology · 2026.10.12 | Measurement Science and Technology2026.10.12 | 摘要 | |
| A Comprehensive Review of Artificial Intelligence-Driven Battery Management and Emerging Battery Technologies for Electric VehiclesRUL prediction · SOH estimation · EOL / cycle life predictionEnergies · 2026.10.12 | Energies2026.10.12 | 全文 | |
| From Laboratory Aging Studies to Field Predictions: Quantifying Uncertainty in Battery Storage Lifetime PredictionsEOL / cycle life predictionarXiv · 2026.10.12 | arXiv2026.10.12 | 全文 | |
| Multi-scale temporal learning for robust battery remaining useful life predictionRUL prediction · Capacity fade / trajectory predictionMathematical Foundations of Computing · 2026.10.12 | Mathematical Foundations of Computing2026.10.12 | 全文 | |
| AttMoE: Attention with Mixture of Experts for remaining useful life prediction of lithium-ion batteriesRUL predictionJournal of Energy Storage · 2026.10.11 | Journal of Energy Storage2026.10.11 | 全文 | |
| A generic physics-informed machine learning framework for battery remaining useful life prediction using small early-stage lifecycle dataRUL predictionApplied Energy · 2026.10.11 | Applied Energy2026.10.11 | 摘要 | |
| Lithium-ion battery remaining useful life prediction based on interpretable deep learning and network parameter optimizationRUL predictionApplied Energy · 2026.10.11 | Applied Energy2026.10.11 | 元数据 | |
| Remaining useful life prediction of lithium-ion batteries by physics-interpretable enhanced electrochemical features and adaptive spline modeling based on TCN-KANRUL predictionApplied Soft Computing · 2026.10.11 | Applied Soft Computing2026.10.11 | 摘要 | |
| A novelty-driven hybrid CNN+NN model for remaining useful life prediction of satellite batteryRUL predictionAerospace Systems · 2026.10.11 | Aerospace Systems2026.10.11 | 摘要 | |
| Application of a TimeXer model incorporating ECM based features in battery remaining useful life predictionRUL predictionIonics · 2026.10.11 | Ionics2026.10.11 | 摘要 | |
| Adaptive Generalization in Lithium-Ion Battery RUL Prediction via Synergistic Attention–Residual NetworksRUL prediction · Capacity fade / trajectory predictionBatteries · 2026.10.11 | Batteries2026.10.11 | 摘要 | |
| A model-agnostic meta-learning framework for few-shot prediction of battery end-of-life intervals任务未确认Journal of Energy Storage · 2026.10.11 | Journal of Energy Storage2026.10.11 | 摘要 | |
| Differential Voltage Analysis Based Data-driven Approach for Battery Module SOH EstimationRUL prediction · SOH estimationACM Transactions on AI for Science · 2026.10.11 | ACM Transactions on AI for Science2026.10.11 | 摘要 | |
| Predicting battery end of life from solar off-grid system field data using machine learningEOL / cycle life predictionJoule · 2026.10.10 | Joule2026.10.10 | 全文 | |
| Semi-supervised learning for explainable few-shot battery lifetime predictionEOL / cycle life predictionJoule · 2026.10.10 | Joule2026.10.10 | 摘要 | |
| A hybrid deep learning approach for remaining useful life prediction of lithium-ion batteries based on discharging fragmentsRUL predictionApplied Energy · 2026.10.10 | Applied Energy2026.10.10 | 全文 | |
| An attention-enhanced multi-scale feature fusion framework for accurate joint prediction of battery SOH and RULRUL prediction · SOH estimationEnergy Reports · 2026.10.09 | Energy Reports2026.10.09 | 元数据 | |
| Autonomous End-to-End SOH Prediction Services for Battery Systems via Temporal-Contrastive Representation LearningSOH estimationArXiv.org · 2026.10.09 | ArXiv.org2026.10.09 | 全文 | |
| Research on predicting the state of health of lithium-ion batteries via back propagation network based on multi-feature combination of electrochemical impedance spectroscopySOH estimationPLoS ONE · 2026.10.09 | PLoS ONE2026.10.09 | 全文 | |
| Data-driven prediction of battery cycle life before capacity degradationEOL / cycle life predictionNature Energy · 2026.10.09 | Nature Energy2026.10.09 | 全文 | |
| Impedance-based forecasting of lithium-ion battery performance amid uneven usageSOH estimationNature Communications · 2026.10.09 | Nature Communications2026.10.09 | 全文 | |
| Battery health management using physics-informed machine learning: Online degradation modeling and remaining useful life predictionRUL predictionMechanical Systems and Signal Processing · 2026.10.09 | Mechanical Systems and Signal Processing2026.10.09 | 摘要 | |
| Physics-Informed Explainable Machine Learning for Hybrid State of Health and Remaining Useful Life Estimation of Lithium-Ion BatteriesRUL prediction · SOH estimation · EOL / cycle life prediction · Capacity fade / trajectory predictionBatteries · 2026.10.08 | Batteries2026.10.08 | 摘要 | |
| Data-driven and feature-sifting based state-of-health estimation for li-ion batteries using KPCA and NRBO-optimized transformer-LSTM hybrid modelSOH estimationPLoS ONE · 2026.10.08 | PLoS ONE2026.10.08 | 全文 | |
| Cross-chemistry battery state-of-health estimation from adaptive partial charging using interpretable physics-informed Efficient Kolmogorov-Arnold networksSOH estimationEnergy and AI · 2026.10.08 | Energy and AI2026.10.08 | 摘要 | |
| Joint intra- and inter-cycle modeling for co-estimating state of health and remaining useful life of lithium-ion batteriesRUL prediction · SOH estimationJournal of Energy Storage · 2026.10.08 | Journal of Energy Storage2026.10.08 | 元数据 | |
| Improved Chaotic Sparrow Search-Optimized Deep Multiple Kernel ELM for Lithium-Ion Battery RUL PredictionRUL predictionBatteries · 2026.10.07 | Batteries2026.10.07 | 全文 | |
| A Comprehensive Review of Battery State of Health Estimation: Methods, Challenges and Future PerspectivesSOH estimationInternational Journal of Automotive Science And Technology · 2026.10.06 | International Journal of Automotive Science And Technology2026.10.06 | 全文 | |
| EV BATTERY HEALTH PREDICTION USING PYTHONRUL prediction · SOH estimationInternational Journal of AI Electronics and Nexus Energy · 2026.10.05 | International Journal of AI Electronics and Nexus Energy2026.10.05 | 摘要 | |
| Quantitative lifetime prediction and operating window identification for Li4Ti5O12-based batteries under coupled thermal and rate stressEOL / cycle life prediction · Capacity fade / trajectory predictionJournal of Energy Storage · 2026.10.04 | Journal of Energy Storage2026.10.04 | 摘要 | |
| Al-doped C3N4 composite cathodes suppress polysulfide shuttle and enable long-lifetime Li-S batteries with physics-informed NeuralODE lifetime forecastingCapacity fade / trajectory predictionCommunications Chemistry · 2026.10.04 | Communications Chemistry2026.10.04 | 摘要 | |
| A Probabilistic Data-Driven Ensemble Approach for Battery Remaining Useful Life (RUL) PrognosticsRUL prediction · EOL / cycle life predictionBatteries · 2026.10.04 | Batteries2026.10.04 | 全文 | |
| HQDeTransformer: hybrid quantum denoising Transformer for time series forecastingRUL predictionScientific Reports · 2026.10.03 | Scientific Reports2026.10.03 | 未确认 | |
| Coupled temporal-frequency learning framework for lithium-ion battery capacity predictionCapacity fade / trajectory predictionMeasurement Science and Technology · 2026.10.03 | Measurement Science and Technology2026.10.03 | 摘要 | |
| A Study on Lithium-Ion Battery Health Estimation and Remaining Life Prediction Based on Real-World Operational DataRUL prediction · SOH estimationBatteries · 2026.10.03 | Batteries2026.10.03 | 全文 | |
| Leakage-Controlled Grouped Validation and Interval-Safety Calibration for RUL/SOH Prediction Using Engine, Battery, and Bearing Degradation DataRUL prediction · SOH estimationMachines · 2026.10.02 | Machines2026.10.02 | 全文 | |
| An AI-Enabled IoT Framework for Real-Time Battery Health Monitoring and Remaining Useful Life Prediction of Lithium-Ion Batteries in Electric Vehicles: A Comprehensive ReviewRUL prediction · SOH estimationInternational Journal For Multidisciplinary Research · 2026.10.02 | International Journal For Multidisciplinary Research2026.10.02 | 摘要 | |
| Frequency-Weighted EIS Manifold Learning for Lithium-Ion Battery Remaining Useful Life PredictionRUL predictionSensors · 2026.10.02 | Sensors2026.10.02 | 摘要 | |
| Lithium-ion battery state of health estimation based on a hybrid kernel adaptive selective state-space modelSOH estimationJournal of Energy Storage · 2026.10.01 | Journal of Energy Storage2026.10.01 | 摘要 | |
| A novel transient zero-dimensional physics-based model of vanadium redox flow batteries with electrolyte crossover-induced capacity fadeCapacity fade / trajectory predictionApplied Energy · 2026.10.01 | Applied Energy2026.10.01 | 摘要 | |
| Aging-induced pressure characteristics and state-of-health estimation for large-format LFP batteries under multi-constraint operating conditionsSOH estimationJournal of Power Sources · 2026.09.30 | Journal of Power Sources2026.09.30 | 摘要 | |
| A Transfer Llearning-Based Remaining Useful Life Prediction Method for Lithium-Ion Batteries with Capacity Regeneration SuppressionRUL predictionJournal of The Electrochemical Society · 2026.09.30 | Journal of The Electrochemical Society2026.09.30 | 摘要 | |
| Prediction of lithium-ion battery state of health based on physical models and data mining techniquesSOH estimationResults in Engineering · 2026.09.28 | Results in Engineering2026.09.28 | 摘要 | |
| Attention-based deep learning framework for battery charge, health, and lifetime estimation in lithium-ion batteries for electric vehiclesRUL prediction · SOH estimationEnergy Strategy Reviews · 2026.09.27 | Energy Strategy Reviews2026.09.27 | 摘要 | |
| A few-shot and uncertainty-aware method for health status prediction of lithium-ion batteriesRUL prediction · SOH estimationJournal of Energy Storage · 2026.09.27 | Journal of Energy Storage2026.09.27 | 摘要 | |
| A Macro-Anchored Physics-Informed GAN for RUL Prediction Under Continuous Block Missing DataRUL predictionSensors · 2026.09.27 | Sensors2026.09.27 | 全文 | |
| Linking Calendar and Cycle Ageing in Lithium-Ion Batteries through Consistent Parameterisation of an Electrochemical–Thermal–Degradation ModelRUL prediction · SOH estimation · Capacity fade / trajectory predictionJournal of The Electrochemical Society · 2026.09.27 | Journal of The Electrochemical Society2026.09.27 | 摘要 | |
| Lithium-ion battery state-of-health prediction using Inception-V4 network optimized by Modified Hiking Optimization AlgorithmSOH estimationScientific Reports · 2026.09.27 | Scientific Reports2026.09.27 | 摘要 | |
| Joint Remaining Useful Life Prediction and Capacity Estimation of Lithium-Ion Batteries Using Partial-Charging DataRUL prediction · Capacity fade / trajectory predictionarXiv · 2026.09.24 | arXiv2026.09.24 | 全文 | |
| Physics-informed lithium-ion battery end-of-life prediction model for data-efficient deploymentEOL / cycle life predictionJournal of Energy Storage · 2026.09.24 | Journal of Energy Storage2026.09.24 | 摘要 | |
| A physics-informed framework with proximal policy optimization for lithium-ion battery state-of-health estimationSOH estimationJournal of Energy Storage · 2026.09.24 | Journal of Energy Storage2026.09.24 | 摘要 | |
| Impact of concurrent vibration and charge cycling on the performance and aging of 21700 NMC811 lithium-ion cellsSOH estimationJournal of Energy Storage · 2026.09.24 | Journal of Energy Storage2026.09.24 | 摘要 | |
| Interpretable and uncertainty-quantified early remaining useful life prediction for lithium-ion batteries under fast charging protocolsRUL predictionApplied Energy · 2026.09.24 | Applied Energy2026.09.24 | 摘要 | |
| Towards interpretable and trustworthy lithium-ion battery prognostics and health management with physics-informed machine learning任务未确认Journal of Energy Storage · 2026.09.21 | Journal of Energy Storage2026.09.21 | 元数据 | |
| An Interactive Remaining Useful Life Estimation Method for Lithium-Ion Batteries Based on Composite Performance Index and Nonlinear Wiener ProcessRUL prediction · Capacity fade / trajectory predictionJournal of Advanced Computational Intelligence and Intelligent Informatics · 2026.09.21 | Journal of Advanced Computational Intelligence and Intelligent Informatics2026.09.21 | 摘要 | |
| Physics-informed entropy temporal neural network for cross-condition state-of-health estimation of lithium-ion batteries任务未确认Journal of Energy Storage · 2026.09.21 | Journal of Energy Storage2026.09.21 | 元数据 | |
| State-of-health-coupled power sharing in a hierarchical control framework for battery-supercapacitor hybrid energy storage in solar-powered microgrids任务未确认Journal of Energy Storage · 2026.09.20 | Journal of Energy Storage2026.09.20 | 元数据 | |
| Early-cycle life prediction of mechanically damaged lithium-ion batteries via multi-physics features and machine learningEOL / cycle life predictionApplied Energy · 2026.09.19 | Applied Energy2026.09.19 | 摘要 | |
| Temporal deep representation learning based remaining useful lifecyle prediction of electric vehicle lithium-ion batteriesRUL predictionInternational Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · 2026.09.19 | International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering2026.09.19 | 全文 | |
| Battery modeling using grey box and black box data driven techniques任务未确认Scientific Reports · 2026.09.19 | Scientific Reports2026.09.19 | 摘要 | |
| Reconciling the O3-P3 phase transition in layered oxides to reduce particle strain for stable sodium battery cyclingEOL / cycle life predictionNature Communications · 2026.09.18 | Nature Communications2026.09.18 | 摘要 | |
| Predicting the future of battery lifetime and knee point ultra-early at the formation stageEOL / cycle life predictionCell Reports Physical Science · 2026.09.18 | Cell Reports Physical Science2026.09.18 | 摘要 | |
| Lithium-ion battery state-of-health estimation based on health feature selection and IGWO-Transformer-GRU modelRUL prediction · SOH estimationCircuit World · 2026.09.18 | Circuit World2026.09.18 | 摘要 | |
| Toward accurate remaining useful life and state of health estimation using reinforced graph-based physics-informed neural networks enhanced with dynamic weightsRUL prediction · SOH estimationAdvanced Engineering Informatics · 2026.09.18 | Advanced Engineering Informatics2026.09.18 | 全文 | |
| Federated Physics-Informed Neural Networks for Privacy-Preserving Lithium-Ion Battery Degradation Prognostics Under Sparse Data ConditionsRUL predictionElectronics · 2026.09.17 | Electronics2026.09.17 | 全文 | |
| Unseen-Cell SOH Prediction via Energy-Aware Warm-Up and Degradation-Consistency ConstraintsSOH estimationEnergies · 2026.09.16 | Energies2026.09.16 | 全文 | |
| Comparative analysis of deep learning approaches for electrothermal and state of health estimation in lithium-ion batteries under variable thermal conditionsSOH estimation · Capacity fade / trajectory predictionThermal Science and Engineering Progress · 2026.09.16 | Thermal Science and Engineering Progress2026.09.16 | 摘要 | |
| Battery Management System: Evolution from Conventional Methods to Advanced Intelligent TechniquesSOH estimation · EOL / cycle life predictionZenodo (CERN European Organization for Nuclear Research) · 2026.09.16 | Zenodo (CERN European Organization for Nuclear Research)2026.09.16 | 全文 | |
| Generalizable Mechanism‐Anchored Health Management for Lithium‐Ion Batteries Across Complex Degradation TrajectoriesSOH estimationAdvanced Energy Materials · 2026.09.14 | Advanced Energy Materials2026.09.14 | 摘要 | |
| Physics-inspired window-wise learning framework for capacity degradation prediction using diverse real-world battery packsCapacity fade / trajectory predictionApplied Energy · 2026.09.14 | Applied Energy2026.09.14 | 元数据 | |
| Thermal management and cycle life enhancement of Lithium-ion Battery packs using low-fin tubes: Electrochemical-thermal-aging modelling and geometric optimizationEOL / cycle life predictionJournal of Energy Storage · 2026.09.13 | Journal of Energy Storage2026.09.13 | 元数据 | |
| State-of-health estimation of lithium-ion batteries using end-of-charge features with cross-domain validation任务未确认Journal of Energy Storage · 2026.09.13 | Journal of Energy Storage2026.09.13 | 摘要 | |
| Targeted Battery Degradation Data Augmentation: Comparison of Gramian Angular Fields and Time-Series RepresentationsRUL prediction · EOL / cycle life predictionBatteries · 2026.09.13 | Batteries2026.09.13 | 摘要 | |
| A Degradation-Adaptive Prototype-Retrieval Network for Remaining Useful Life Prediction of Lithium-Ion BatteriesRUL predictionJournal of The Electrochemical Society · 2026.09.12 | Journal of The Electrochemical Society2026.09.12 | 摘要 | |
| Remaining Useful Life (RUL) Analysis of Deep Learning Approaches for Lithium-ion BatteryRUL predictionZenodo (CERN European Organization for Nuclear Research) · 2026.09.12 | Zenodo (CERN European Organization for Nuclear Research)2026.09.12 | 全文 | |
| Integrated Analysis of EIS, DCIR, and SoH for Degradation Diagnosis and Durability Assessment of NCM811 Lithium-Ion BatteriesSOH estimation · EOL / cycle life predictionBatteries · 2026.09.12 | Batteries2026.09.12 | 摘要 | |
| NBE-VLT-PFO: hybrid deep learning transformer architecture for joint estimation of lithium-ion batteriesRUL prediction · SOH estimation · SOF / health forecastingFrontiers in Artificial Intelligence · 2026.09.12 | Frontiers in Artificial Intelligence2026.09.12 | 全文 | |
| Single-Cycle Battery Remaining Useful Life Prediction with Compressed Continuous Wavelet Features and Deep Neural NetworksRUL prediction · EOL / cycle life predictionarXiv · 2026.09.11 | arXiv2026.09.11 | 元数据 | |
| Prior-informed multimodal cross-attention guided transfer learning for state of health estimation of cross-type electric vehicle batteriesSOH estimationApplied Energy · 2026.09.11 | Applied Energy2026.09.11 | 元数据 | |
| Uncertainty-aware multi-step capacity trajectory forecasting for lithium-ion energy storage batteries using a convolution-based sparse TransformerCapacity fade / trajectory predictionJournal of Energy Storage · 2026.09.10 | Journal of Energy Storage2026.09.10 | 元数据 | |
| Comprehensive Investigation of Lithium Ion Battery Life under Abuse Testing Across Various Form Factors Using Machine Learning ApproachRUL predictionInternational Journal of Mechanical Engineering · 2026.09.10 | International Journal of Mechanical Engineering2026.09.10 | 全文 | |
| CNN framework enhanced with attention weighed and optimized features for state-of-health estimation of lithium-ion batteriesSOH estimationScientific Reports · 2026.09.09 | Scientific Reports2026.09.09 | 摘要 | |
| ARMAX-based capacity fade estimation for lithium-ion cells across state-of-charge and temperature variationsSOH estimation · Capacity fade / trajectory predictionJournal of Energy Storage · 2026.09.07 | Journal of Energy Storage2026.09.07 | 摘要 | |
| Passive EIS-based battery state of health estimation using internal temperature modelling under dynamic operating conditionsSOH estimationJournal of Power Sources · 2026.09.07 | Journal of Power Sources2026.09.07 | 摘要 | |
| Second-life lithium-ion batteries for microgrids: A comprehensive review of integration, degradation, control, and reliabilitySOH estimationJournal of Energy Storage · 2026.09.07 | Journal of Energy Storage2026.09.07 | 摘要 | |
| Remaining useful life prediction of lithium-ion batteries: A feature weighting and dual attention networkRUL predictionJournal of Energy Storage · 2026.09.06 | Journal of Energy Storage2026.09.06 | 元数据 | |
| A data-driven Kalman filter–integrated deep learning framework for optimized fault detection in lithium-ion batteriesSOH estimationEnergy Reports · 2026.09.05 | Energy Reports2026.09.05 | 摘要 | |
| Fault diagnosis and prognosis for lithium-ion battery energy storage systems: A review of fault mechanisms, current advances, and future trends任务未确认Journal of Power Sources · 2026.09.04 | Journal of Power Sources2026.09.04 | 元数据 | |
| Complex Network Analysis of Lithium-Ion Battery LifeSOH estimationPrabha Materials Science Letters · 2026.09.03 | Prabha Materials Science Letters2026.09.03 | 全文 | |
| Hybrid-data-driven SOH estimation for LFP batteries: An engineering-oriented paradigm based on interpretable featureSOH estimationJournal of Power Sources · 2026.09.03 | Journal of Power Sources2026.09.03 | 元数据 | |
| A closed-loop degradation-aware self-healing battery framework for ultra-long-duration energy storageRUL prediction · EOL / cycle life prediction · Capacity fade / trajectory predictionEnergy Storage and Conversion · 2026.09.03 | Energy Storage and Conversion2026.09.03 | 摘要 | |
| Lithium-ion battery state-of-health prediction based on local mixing and token statistics self-attention任务未确认Journal of Power Sources · 2026.09.03 | Journal of Power Sources2026.09.03 | 元数据 | |
| Cycle-Dependent Degradation of Lithium-Ion Battery State of Health Under Normal, High-Rate, and Thermal Stress Conditions: A Dynamic Simulation StudySOH estimationIconic Research and Engineering Journals · 2026.09.03 | Iconic Research and Engineering Journals2026.09.03 | 全文 | |
| Continuous ageing trajectory representations across heterogeneous battery datasets: Knee analysis and protocol-held-out early-life predictionSOH estimationEnergy Conversion and Management · 2026.09.02 | Energy Conversion and Management2026.09.02 | 全文 | |
| Battery prognostics using single-cycle statistical inference and parametric discharge curvesRUL prediction · SOH estimationJournal of Energy Storage · 2026.09.02 | Journal of Energy Storage2026.09.02 | 摘要 | |
| A battery health state index-driven digital twin framework for battery condition assessment and predictive maintenance in electric vehicle charging environmentsSOH estimationScientific Reports · 2026.09.02 | Scientific Reports2026.09.02 | 摘要 | |
| Critical review of improved deep reinforcement learning methods for online remaining useful life prediction of lithium-ion batteries in energy storage stationsRUL predictionRenewable and Sustainable Energy Reviews · 2026.08.31 | Renewable and Sustainable Energy Reviews2026.08.31 | 元数据 | |
| PhyMamba: Physics-Modulated Mamba for Robust Battery Health PrognosticsSOF / health forecastingarXiv · 2026.08.31 | arXiv2026.08.31 | 全文 | |
| Resource-Constrained Embedded Neural Network SOC/SOH Estimation for Real-Time On-Device Battery ManagementSOH estimationAmerican Journal of Management and IOT Medical Computing · 2026.08.30 | American Journal of Management and IOT Medical Computing2026.08.30 | 全文 | |
| Adaptive Stage Segmentation and Model Selection for Data-Driven Online Remaining Useful Life Prediction of Lithium-Ion BatteriesRUL predictionMeasurement Science and Technology · 2026.08.30 | Measurement Science and Technology2026.08.30 | 摘要 | |
| Exploiting Capacity Regeneration Based on a Hybrid Model to Accurately Predict the Remaining Useful Life of Lithium-Ion BatteriesRUL predictionEngineering Research Express · 2026.08.29 | Engineering Research Express2026.08.29 | 摘要 | |
| Monte Carlo framework-based probabilistic intelligence model for lithium-ion battery health prognostics considering individual differences uncertainty任务未确认Journal of Energy Storage · 2026.08.29 | Journal of Energy Storage2026.08.29 | 摘要 | |
| Balancing accuracy and early predictability: a flexible framework for battery lifetime prediction via analytical mapping discoveryEOL / cycle life predictionEnergy Storage Materials · 2026.08.29 | Energy Storage Materials2026.08.29 | 摘要 | |
| Quantifying the impact of cell-to-cell inconsistency on electric vehicle battery degradation and utilization任务未确认Nature Energy · 2026.08.28 | Nature Energy2026.08.28 | 全文 | |
| Reliability Assessment of Second-Life EV Batteries Using Probabilistic Deep Learning Models for State-of-Health PredictionSOH estimationWorld Electric Vehicle Journal · 2026.08.27 | World Electric Vehicle Journal2026.08.27 | 摘要 | |
| Quantifying the Gap Between Laboratory Battery Test Patterns and Field Duty ProfilesSOH estimationarXiv · 2026.08.27 | arXiv2026.08.27 | 全文 | |
| A lithium battery state of health estimation approach based on SHapley Additive exPlanations-guided feature fusion and a diffusion modelSOH estimationJournal of Energy Storage · 2026.08.27 | Journal of Energy Storage2026.08.27 | 摘要 | |
| Early Prediction of Lithium-Ion Battery Remaining Useful Life Using a GWO-Optimized CNN–Transformer–BiGRU NetworkRUL prediction · EOL / cycle life predictionBatteries · 2026.08.26 | Batteries2026.08.26 | 全文 | |
| Pulse-based state-of-charge and state-of-health estimation of randomly retired lithium-ion batteries for second-life applications任务未确认Applied Energy · 2026.08.26 | Applied Energy2026.08.26 | 摘要 | |
| Mission-Phase Feature Learning for eVTOL Li-Ion Battery Prognostics: A Leakage-Safe Cell-Held-Out Benchmark for SOC, SOH, and RULRUL prediction · SOH estimationBatteries · 2026.08.26 | Batteries2026.08.26 | 摘要 | |
| Remaining Useful Life Prediction of Lithium-Ion Batteries Considering Long-Range Dependence and Capacity RegenerationRUL predictionApplied Sciences · 2026.08.26 | Applied Sciences2026.08.26 | 摘要 | |
| Probabilistic state of health estimation and environmentally optimized retirement threshold for lithium-ion batteries based on deep learning and Gaussian process regressionSOH estimationJournal of Energy Storage · 2026.08.25 | Journal of Energy Storage2026.08.25 | 元数据 | |
| A linear-complexity deep learning framework for efficient battery State of Health estimation in resource-constrained systemsSOH estimationEngineering Applications of Artificial Intelligence · 2026.08.25 | Engineering Applications of Artificial Intelligence2026.08.25 | 元数据 | |
| Degradation-Aligned Self-Supervised Learning for State of Health Estimation of Lithium-Ion Batteries under Label SparsitySOH estimationarXiv · 2026.08.23 | arXiv2026.08.23 | 元数据 | |
| Physics-informed deep learning models for real-time state of health estimation of lithium-ion batteriesSOH estimationJournal of Power Sources · 2026.08.23 | Journal of Power Sources2026.08.23 | 摘要 | |
| Self-evolving multimodal digital twin for health-aware and safety-aware intelligence in electric vehicle lithium-ion batteriesSOH estimationScientific Reports · 2026.08.23 | Scientific Reports2026.08.23 | 摘要 | |
| A Lithium-Ion Battery Remaining Useful Life Prediction Framework Based on Mode Decomposition and CNN-TimeXerRUL predictionElectronics · 2026.08.23 | Electronics2026.08.23 | 未确认 | |
| State of health estimation and remaining useful life prediction of Li-ion battery oriented to real-world electric vehicles: A comprehensive evaluation methodologyRUL prediction · SOH estimationEngineering Applications of Artificial Intelligence · 2026.08.23 | Engineering Applications of Artificial Intelligence2026.08.23 | 元数据 | |
| The absence of true association validation in supervised feature importance: Evidence from battery capacity prediction for second-life applicationsCapacity fade / trajectory predictionJournal of Energy Storage · 2026.08.23 | Journal of Energy Storage2026.08.23 | 元数据 | |
| Real-time state-of-health estimation and online degradation prognosis from partial battery discharge using Physics-Informed Neural NetworksSOH estimationJournal of Power Sources · 2026.08.23 | Journal of Power Sources2026.08.23 | 全文 | |
| State-of-health estimation of lithium-ion batteries subjected to different ageing conditions via electrochemical impedance spectroscopy and machine learning任务未确认Journal of Energy Storage · 2026.08.23 | Journal of Energy Storage2026.08.23 | 未确认 | |
| Reconciling Manufacturer Claims with Measured Degradation in Commercial Lithium-Ion Cells: A Provenance-Aware Knowledge Graph with Coverage-Gated AbstentionEOL / cycle life predictionBatteries · 2026.08.23 | Batteries2026.08.23 | 全文 | |
| Physics-aligned causal inference of driving styles on electric vehicles battery agingCapacity fade / trajectory predictionScientific Reports · 2026.08.23 | Scientific Reports2026.08.23 | 摘要 | |
| Selective model transfer for lithium-ion battery state of health estimation based on a weighted similarity metricSOH estimationJournal of Energy Storage · 2026.08.22 | Journal of Energy Storage2026.08.22 | 未确认 | |
| Triple-phase boundary instability as a key degradation factor in sulfide|(oxy)halide dual-electrolyte solid-state batteries任务未确认Joule · 2026.08.22 | Joule2026.08.22 | 元数据 | |
| Physics-informed adaptive estimation framework for estimating subdiffusion characteristics of lithium-ion batteriesCapacity fade / trajectory predictionJournal of Power Sources · 2026.08.22 | Journal of Power Sources2026.08.22 | 未确认 | |
| An interpretable hybrid LSTM–transformer framework with temporal attention fusion for lithium-ion battery state-of-charge estimation任务未确认Scientific Reports · 2026.08.22 | Scientific Reports2026.08.22 | 摘要 | |
| IWOA-PINN-based measurement-informed capacity degradation modelling and physics-informed online RUL estimation for lithium-ion batteriesRUL predictionMeasurement Science and Technology · 2026.08.22 | Measurement Science and Technology2026.08.22 | 摘要 | |
| Inhomogeneous Particle Lithiation as a Driver of Degradation in Silicon-Containing Lithium-Ion Cells: Insights from Simulation任务未确认Journal of The Electrochemical Society · 2026.08.06 | Journal of The Electrochemical Society2026.08.06 | 摘要 | |
| Multi-scale feature-driven state of health estimation and weighted convolution-based remaining useful life prediction for lithium-ion batteriesRUL prediction · SOH estimationJournal of Energy Storage · 2026.08.06 | Journal of Energy Storage2026.08.06 | 未确认 | |
| Battery state-of-health as a functional safety variable: an ISO 26262-aligned AI framework for electric vehicle ADAS power integritySOH estimationScientific Reports · 2026.08.06 | Scientific Reports2026.08.06 | 摘要 | |
| Retrieval-Augmented Degradation Priors for Data-Efficient Early Lithium-Ion Battery Lifetime PredictionEOL / cycle life predictionBatteries · 2026.08.06 | Batteries2026.08.06 | 未确认 | |
| PAAD-Net: A physics-aware asymmetric decoupling network for remaining useful life prediction of lithium-ion batteriesRUL prediction · EOL / cycle life predictionMeasurement Science and Technology · 2026.08.05 | Measurement Science and Technology2026.08.05 | 未确认 | |
| Fault prognostics of lithium-ion batteries in industrial battery management systemsRUL predictionJournal of Power Sources · 2026.08.05 | Journal of Power Sources2026.08.05 | 摘要 | |
| A reliability-guided supervision and trajectory learning framework for health monitoring and Long-term prognostics of electric vehicle battery packs from field data任务未确认Applied Energy · 2026.08.05 | Applied Energy2026.08.05 | 摘要 | |
| PiDDM: Physics-Informed Differentiable Degradation Modeling for Lithium-Ion Battery State-of-Health PredictionSOH estimation · EOL / cycle life prediction · Capacity fade / trajectory predictionarXiv · 2026.08.03 | arXiv2026.08.03 | 全文 | |
| Machine Learning-Based Intelligent Prediction of Electric Vehicle Battery Health for Enhanced Per-formance and Lifetime EstimationSOH estimationZenodo (CERN European Organization for Nuclear Research) · 2026.08.03 | Zenodo (CERN European Organization for Nuclear Research)2026.08.03 | 摘要 | |
| A cross-domain deep learning framework for remaining useful life prediction in industrial applicationsRUL predictionPLoS ONE · 2026.08.02 | PLoS ONE2026.08.02 | 未确认 | |
| Joint estimation of battery state of health and remaining useful life via degradation encoding and implicit physics-informed neural networksRUL prediction · SOH estimationJournal of Power Sources · 2026.08.02 | Journal of Power Sources2026.08.02 | 元数据 | |
| A RIME-Configured SSM–Transformer Framework for Lithium-Ion Battery State-of-Health AssessmentSOH estimationEnergies · 2026.08.02 | Energies2026.08.02 | 摘要 | |
| Influence and correlation of stress factors on the cyclic ageing of NMC622-graphite lithium-ion batteries任务未确认Journal of Energy Storage · 2026.08.01 | Journal of Energy Storage2026.08.01 | 未确认 | |
| Coupled electro-chemo-mechanical degradation in lithium-ion batteries under forced vibration: a multiphysics analysis任务未确认Energy Storage Materials · 2026.07.31 | Energy Storage Materials2026.07.31 | 未确认 | |
| Degradation-aware PSO–MPC energy management for second-life battery prosumer microgridsRUL prediction · SOH estimation · Capacity fade / trajectory predictionScientific Reports · 2026.07.30 | Scientific Reports2026.07.30 | 摘要 | |
| Physics-guided semantic source free adaptation for fast-charging batteries degradation prognosis任务未确认Applied Energy · 2026.07.29 | Applied Energy2026.07.29 | 摘要 | |
| A hybrid learning framework for proactive health forecasting of lithium-ion batteries in embedded battery management systemsSOF / health forecastingJournal of Energy Storage · 2026.07.29 | Journal of Energy Storage2026.07.29 | 元数据 | |
| Physics-Informed Cross-Domain Deep Learning for Laboratory-to-Field Battery Remaining Useful Life Estimation Under Operational Shifts and Target-Label ScarcityRUL predictionBatteries · 2026.07.29 | Batteries2026.07.29 | 未确认 | |
| Estimation of SoC, SoH, and RUL in battery management systems using artificial intelligence: A tertiary mapping studyRUL prediction · SOH estimationJournal of Energy Storage · 2026.07.29 | Journal of Energy Storage2026.07.29 | 摘要 | |
| Multi timescale predictive energy management for battery life extension in electric vehicles任务未确认Scientific Reports · 2026.07.28 | Scientific Reports2026.07.28 | 摘要 | |
| Retired battery state of health estimation: A cross-lifecycle data fusion approach with dual physical constraintsSOH estimationJournal of Energy Storage · 2026.07.28 | Journal of Energy Storage2026.07.28 | 元数据 | |
| Investigation of battery-aging dynamics for electric vehicle management under real-world driving stressRUL prediction · SOH estimationJournal of Power Sources · 2026.07.27 | Journal of Power Sources2026.07.27 | 未确认 | |
| Inverse inference of lithium-ion battery degradation parameters via physical modeling and data-driven machine learning任务未确认npj Computational Materials · 2026.07.27 | npj Computational Materials2026.07.27 | 未确认 | |
| A Novel Capacity Estimation Model Based on Scaling Transform for Series-Parallel LiFePO4 Battery SystemSOH estimationJournal of The Electrochemical Society · 2026.07.27 | Journal of The Electrochemical Society2026.07.27 | 元数据 | |
| AI-Driven Hybrid Battery–Supercapacitor Systems for Electric Vehicles: Performance Analysis and Opportunities任务未确认World Electric Vehicle Journal · 2026.07.26 | World Electric Vehicle Journal2026.07.26 | 全文 | |
| Remaining useful life prediction and dynamic early warning for new energy vehicle batteries based on a PINN enhanced by explicit physical guidanceRUL predictionJournal of Energy Storage · 2026.07.26 | Journal of Energy Storage2026.07.26 | 未确认 | |
| Bayesian neural networks with physics-based priors for robust battery health assessment任务未确认Scientific Reports · 2026.07.26 | Scientific Reports2026.07.26 | 未确认 | |
| Transfer learning-based SOH estimation from partial charging data with polarization-aware modelingSOH estimationScientific Reports · 2026.07.26 | Scientific Reports2026.07.26 | 全文 | |
| Experimental Multi-Metric Health Assessment of Second-Life Electric Vehicle Batteries for Reuse Pathway ClassificationSOH estimationBatteries · 2026.07.24 | Batteries2026.07.24 | 全文 | |
| Mechanical-information-assisted state of health estimation for large-format prismatic lithium iron phosphate cellsSOH estimationApplied Energy · 2026.07.24 | Applied Energy2026.07.24 | 未确认 | |
| Cross-cycle Health Indicators Construction and SOH Prediction of Lithium-ion Batteries by Cross Recurrence Quantification AnalysisSOH estimationJournal of Reliability Science and Engineering · 2026.07.24 | Journal of Reliability Science and Engineering2026.07.24 | 未确认 | |
| Physics-constrained neural network for cross-temperature state-of-health estimation of lithium-ion batteriesSOH estimationInternational Journal of Electrochemical Science · 2026.07.23 | International Journal of Electrochemical Science2026.07.23 | 未确认 | |
| Smart Battery Perceiving Future Lifetime at Ultra‐Early Life Stage by Decoding SEI EvolutionEOL / cycle life predictionAdvanced Energy Materials · 2026.07.23 | Advanced Energy Materials2026.07.23 | 未确认 | |
| Physics-Guided Masked Multi-Task Network for Edge-Friendly Battery Health Diagnostics from Sto-chastically Fragmented Charging ProfilesRUL prediction · SOH estimationarXiv · 2026.07.22 | arXiv2026.07.22 | 未确认 | |
| Dynamic Loss Balancing for Joint SOH and RUL Prediction of Lithium-Ion Batteries via a Rotary SOH-Injected Prior Battery TransformerRUL prediction · SOH estimationarXiv · 2026.07.22 | arXiv2026.07.22 | 未确认 | |
| Dual-Branch Bidirectional Long Short-Term Memory Network for Battery State of Health Estimation Under Incomplete DataRUL prediction · SOH estimationEnergies · 2026.07.22 | Energies2026.07.22 | 元数据 | |
| Design of an Improved Physics-Aware Early-Life Prognostic Framework for Reliable Remaining Useful Life Prediction of Lithium-Ion Batteries in Real-Time Battery Management SystemsRUL predictionInternational Journal for Research in Applied Science and Engineering Technology · 2026.07.22 | International Journal for Research in Applied Science and Engineering Technology2026.07.22 | 元数据 | |
| Bridging battery design and health assessment through virtual sensing and physics-informed learningEOL / cycle life predictionarXiv · 2026.07.21 | arXiv2026.07.21 | 全文 | |
| Source-Free Joint SOC/SOH Estimation for Lithium-ion Batteries via Task-Specific Adapters and Interaction AttentionSOH estimationEksploatacja i Niezawodnosc - Maintenance and Reliability · 2026.07.20 | Eksploatacja i Niezawodnosc - Maintenance and Reliability2026.07.20 | 未确认 | |
| SSA(BBO)-optimized neural networks for remaining useful life estimation and health monitoring of lithium-ion batteriesRUL predictionScientific Reports · 2026.07.20 | Scientific Reports2026.07.20 | 未确认 | |
| Variability Analysis of Battery EIS MeasurementsSOH estimationBatteries · 2026.07.20 | Batteries2026.07.20 | 未确认 | |
| Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware TransformersEOL / cycle life predictionAdvanced Science · 2026.07.19 | Advanced Science2026.07.19 | 未确认 | |
| Hybrid temporal deep learning and ensemble regression framework for remaining useful life prediction of lithium-ion batteries in energy storage systemsRUL predictionEnergy Exploration & Exploitation · 2026.07.19 | Energy Exploration & Exploitation2026.07.19 | 未确认 | |
| AI/ML enabled smart battery management systems in electric vehiclesRUL prediction · SOH estimationFrontiers in Batteries and Electrochemistry · 2026.07.19 | Frontiers in Batteries and Electrochemistry2026.07.19 | 未确认 | |
| Toward Trustworthy and Transferable SOH/RUL Estimation for Lithium-Ion Batteries: A Critical Review and Multi-Fidelity Validation Framework from Laboratory Cells to Real-World PacksRUL prediction · SOH estimationBatteries · 2026.07.19 | Batteries2026.07.19 | 未确认 | |
| Graph attention neural network with domain generalization and test-time adaptation for SOH prediction of lithium-ion batteries under domain shiftSOH estimationJournal of Energy Storage · 2026.07.17 | Journal of Energy Storage2026.07.17 | 未确认 | |
| Designing zero-degradation LFP batteries via rational lithium release from LFO additives任务未确认Joule · 2026.07.16 | Joule2026.07.16 | 摘要 | |
| Early Prediction of Commercial Energy Storage Battery Cycle Life Based on Health Features and Transfer LearningEOL / cycle life predictionBatteries · 2026.07.16 | Batteries2026.07.16 | 未确认 | |
| Lévy Jump Nonlocal SPDE and BA-PINN Modeling for Battery Fracture and Thermal-Runaway Warning任务未确认Batteries · 2026.07.16 | Batteries2026.07.16 | 未确认 | |
| Long-horizon battery lifetime prediction using a multiwindow autoregressive frameworkEOL / cycle life predictionJournal of Energy Storage · 2026.07.16 | Journal of Energy Storage2026.07.16 | 元数据 | |
| BattVAE-GP: Generative Modeling of Long-Horizon Battery Degradation with Uncertainty QuantificationSOH estimation · EOL / cycle life predictionarXiv · 2026.07.15 | arXiv2026.07.15 | 摘要 | |
| A PCA-enhanced XGBoost framework for combined SOC and SOH estimation in lithium-ion batteriesSOH estimationScientific Reports · 2026.07.14 | Scientific Reports2026.07.14 | 摘要 | |
| Multi-modal degradation information fusion with transfer learning for state of health estimation and remaining useful life inference of lithium-ion batteriesRUL prediction · SOH estimationJournal of Energy Storage · 2026.07.13 | Journal of Energy Storage2026.07.13 | 元数据 | |
| RUL-QMoE: Multiple Non-crossing Quantile Mixture-of-Experts for Probabilistic Remaining Useful Life Predictions of Varying Battery MaterialsRUL predictionarXiv (Cornell University) · 2026.07.13 | arXiv (Cornell University)2026.07.13 | 全文 | |
| Uncertainty-constrained state-of-life prediction-based post-first-life management for lithium-ion battery second-life decision-making and recycling management任务未确认Journal of Energy Storage · 2026.07.12 | Journal of Energy Storage2026.07.12 | 未确认 | |
| Robust state of health estimation of sodium-ion batteries combining feature selection and long short-term memory networksSOH estimationJournal of Energy Storage · 2026.07.12 | Journal of Energy Storage2026.07.12 | 元数据 | |
| Heterogeneous modeling of multi-scale components for capacity degradation trajectory prediction of liquid metal batteriesCapacity fade / trajectory predictionFuture Batteries · 2026.07.11 | Future Batteries2026.07.11 | 未确认 | |
| A large multimodal foundation model for unified state-of-health and remaining useful life estimation of lithium-ion batteriesRUL predictionJournal of Energy Storage · 2026.07.10 | Journal of Energy Storage2026.07.10 | 未确认 | |
| A machine learning–based optimal charging strategy for PV-assisted electric vehicle systems incorporating second-life batteries under degradation constraints任务未确认Scientific Reports · 2026.07.10 | Scientific Reports2026.07.10 | 全文 | |
| A review of deep learning-based methods for lithium-ion battery remaining useful life predictionRUL prediction期刊未确认 · 2026.07.10 | 期刊未确认2026.07.10 | 未确认 | |
| GNN-Based Degradation Model Development for an NMC Li-Ion BatterySOH estimationEnergies · 2026.07.10 | Energies2026.07.10 | 未确认 | |
| Lithium-Ion Battery SOH Estimation Driven by Multi-Level Features from Adaptive Optimal Intervals and HISSA-BiLSTMSOH estimationJournal of The Electrochemical Society · 2026.07.10 | Journal of The Electrochemical Society2026.07.10 | 未确认 | |
| First-life histories leave lasting imprints: decoding path-dependent fingerprints governing second-life battery degradation and safety任务未确认Applied Energy · 2026.07.09 | Applied Energy2026.07.09 | 未确认 | |
| TWNN-LSTM-GSTA: A novel hybrid deep learning architecture for enhanced battery state of health predictionSOH estimationEnergy Reports · 2026.07.09 | Energy Reports2026.07.09 | 未确认 | |
| Machine Learning-Based Battery State-of-health Prediction for Unmanned Aerial Vehicles Predictive MaintenanceSOH estimationarXiv · 2026.07.09 | arXiv2026.07.09 | 全文 | |
| A multi-resolution Mamba network with adaptive degradation perception for long-term lithium-ion battery capacity predictionCapacity fade / trajectory predictionJournal of Energy Storage · 2026.07.09 | Journal of Energy Storage2026.07.09 | 元数据 | |
| Liquid time constant based neuromorphic active inference for resilient control and health aware battery management in hybrid AC/DC microgrids任务未确认Scientific Reports · 2026.07.06 | Scientific Reports2026.07.06 | 摘要 | |
| Multivariate feature-disentangled graph-enforced domain adaptation with multi-objective deep learning for remaining useful life prediction of lithium-ion batteriesRUL predictionJournal of Energy Storage · 2026.07.05 | Journal of Energy Storage2026.07.05 | 未确认 | |
| A Data-Driven AI Framework for Monitoring Lithium-Ion Battery Health Using Secondary Operational DataRUL prediction · SOH estimationVehicles · 2026.07.04 | Vehicles2026.07.04 | 未确认 | |
| AI-Enhanced Battery Degradation Prediction for Solar Home Systems in Sub-Saharan Deployment ConditionsSOH estimation · Capacity fade / trajectory predictionUCP Journal of Engineering & Information Technology · 2026.07.03 | UCP Journal of Engineering & Information Technology2026.07.03 | 未确认 | |
| State of Health and Remaining Useful Life Prediction for Lithium-Ion and Sodium-Ion Batteries Based on Segmental Incremental Capacity FeaturesRUL prediction · SOH estimationACS Applied Energy Materials · 2026.07.03 | ACS Applied Energy Materials2026.07.03 | 未确认 | |
| Early-Cycle Lifetime Prediction of Lithium-Ion Batteries with Ultra-Short Cycle Life Using Transferable Statistical FeaturesEOL / cycle life prediction · Capacity fade / trajectory predictionBatteries · 2026.07.03 | Batteries2026.07.03 | 未确认 | |
| Taylor polynomial-constrained physics-informed neural network for battery degradation modeling and SOH estimationSOH estimationMeasurement Science and Technology · 2026.07.03 | Measurement Science and Technology2026.07.03 | 摘要 | |
| Uncertainty-Aware Early Battery Life Prediction with Composite-Kernel Gaussian Process Regression and Conformalized Adaptive IntervalsRUL predictionAlgorithms · 2026.07.03 | Algorithms2026.07.03 | 摘要 | |
| Machine learning-guided electrolyte–interface co-design for Li-based anode-free batteries: Toward a predictive framework for stable metal depositionCapacity fade / trajectory predictionJournal of Power Sources · 2026.06.29 | Journal of Power Sources2026.06.29 | 摘要 | |
| Fractional-order derivatives to elevate the physics-awareness of the data-driven battery health estimators任务未确认Journal of Energy Storage · 2026.06.27 | Journal of Energy Storage2026.06.27 | 元数据 | |
| A practical prediction framework for lithium battery health considering non-monotonic regeneration任务未确认Journal of Energy Storage · 2026.06.27 | Journal of Energy Storage2026.06.27 | 元数据 | |
| IOT BASED BATTERY MANAGEMENT SYSTEMSOH estimationInternational Research Journal of Modernization in Engineering Technology and Science · 2026.06.27 | International Research Journal of Modernization in Engineering Technology and Science2026.06.27 | 摘要 | |
| Bayesian Changepoint Detection for Smart Sensing of Battery Degradation: Cycle-Level Health Indicators and PyMC ImplementationRUL predictionarXiv · 2026.06.26 | arXiv2026.06.26 | 全文 | |
| Degradation-informed closed-loop feature optimization and SHAP-enhanced machine learning for lithium-ion battery SOH estimationSOH estimationJournal of Power Sources · 2026.06.26 | Journal of Power Sources2026.06.26 | 未确认 | |
| Lithium-ion battery health estimation using frequency decomposition and collaborative modeling任务未确认Journal of Energy Storage · 2026.06.26 | Journal of Energy Storage2026.06.26 | 元数据 | |
| A Novel Hybrid Modeling Framework Integrating Feature Engineering for Battery Remaining Useful Life PredictionRUL predictionMathematics · 2026.06.25 | Mathematics2026.06.25 | 摘要 | |
| GSC-X Battery Sandbox - Battery Validation V1: Multi-Dataset Predictive Battery Health Validation Using Context Memory and Early Limit Indicator任务未确认Zenodo (CERN European Organization for Nuclear Research) · 2026.06.23 | Zenodo (CERN European Organization for Nuclear Research)2026.06.23 | 元数据 | |
| Predictive Analytics for Optimizing Electric Vehicle Battery Replacement StrategiesRUL prediction · SOH estimationInternational Research Journal of Modernization in Engineering Technology and Science · 2026.06.23 | International Research Journal of Modernization in Engineering Technology and Science2026.06.23 | 摘要 | |
| Intelligent prediction of the remaining useful life of lithium-ion batteries based on a CGHF-MDH-Mamba modelRUL predictionIntelligence & Robotics · 2026.06.20 | Intelligence & Robotics2026.06.20 | 摘要 | |
| Deep learning-based RUL and SOH prediction of lithium-ion batteries using LOCORUL prediction · SOH estimationScientific Reports · 2026.06.20 | Scientific Reports2026.06.20 | 摘要 | |
| Quantitative analysis of degradation mechanisms in NCM811||Si/C lithium-ion batteries under different fast-charging rates任务未确认Energy Storage Materials · 2026.06.19 | Energy Storage Materials2026.06.19 | 未确认 | |
| A self-supervised framework with Gramian angular field for few-shot battery state of health predictionSOH estimationJournal of Energy Storage · 2026.06.17 | Journal of Energy Storage2026.06.17 | 元数据 | |
| A hybrid multi-head attention and Harris Hawks optimized Long Short-Term Memory model for high-precision lithium-ion battery remaining useful life predictionRUL predictionApplications in Energy and Combustion Science · 2026.06.17 | Applications in Energy and Combustion Science2026.06.17 | 摘要 | |
| A mutual information-boosted multi-head self-attention network for high-precision prediction of lithium-ion battery health status任务未确认Engineering Applications of Artificial Intelligence · 2026.06.17 | Engineering Applications of Artificial Intelligence2026.06.17 | 元数据 | |
| A novel framework with dynamic spatiotemporal graph modeling and adaptive optimization for lithium-ion battery remaining useful life predictionRUL predictionApplied Energy · 2026.06.15 | Applied Energy2026.06.15 | 元数据 | |
| Battery Management System in Electric Vehicles Using Deep Learning: A Hybrid LSTM-CNN Framework for Enhanced State Estimation and Predictive MaintenanceRUL prediction · SOH estimationIconic Research and Engineering Journals · 2026.06.14 | Iconic Research and Engineering Journals2026.06.14 | 摘要 | |
| Hybrid Statistical and ANN-Based Prediction of Lithium-Ion Battery Degradation under UDDS-Based Simulated Urban Driving Profiles任务未确认Automotive Experiences · 2026.06.14 | Automotive Experiences2026.06.14 | 摘要 | |
| Data-driven machine learning framework for accelerating lifetime prediction of LiS batteries using early-cycle electrochemical featuresEOL / cycle life predictionJournal of Energy Storage · 2026.06.12 | Journal of Energy Storage2026.06.12 | 未确认 | |
| From Operation to SOH Estimation: Analysis of Lithium-Ion Capacitors Based on Passive EIS for E-Bus ApplicationSOH estimation · Capacity fade / trajectory predictionBatteries · 2026.06.12 | Batteries2026.06.12 | 未确认 | |
| Hybrid physics-informed machine learning framework for calibration-free degradation prediction of lithium-ion batteriesSOH estimation · Capacity fade / trajectory predictionScientific Reports · 2026.06.12 | Scientific Reports2026.06.12 | 摘要 | |