A novel state of health estimation method of Li-ion battery using group method of data handling

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Remaining Useful Life Prediction and State of Health Diagnosis for Lithium-Ion Batteries Using Particle Filter and Support Vector Regression

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A quick on-line state of health estimation method for Li-ion battery with incremental capacity curves processed by Gaussian filter:

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Machine Learning Applied to Electrified Vehicle Battery State of Charge and State of Health Estimation: State-of-the-Art

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State-of-health estimation and remaining useful life prediction for the lithium-ion battery based on a variant long short term memory neural network

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Review on state-of-health of lithium-ion batteries: Characterizations, estimations and applications

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Machine Learning: An Advanced Platform for Materials Development and State Prediction in Lithium‐Ion Batteries

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A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery

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An Overview and Comparison of Online Implementable SOC Estimation Methods for Lithium-Ion Battery

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Transfer learning with long short-term memory network for state-of-health prediction of lithium-ion batteries

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State-of-Health Estimation and Remaining-Useful-Life Prediction for Lithium-Ion Battery Using a Hybrid Data-Driven Method

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Online capacity estimation of lithium-ion batteries with deep long short-term memory networks

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A Novel Estimation Method for the State of Health of Lithium-Ion Battery Using Prior Knowledge-Based Neural Network and Markov Chain

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State-of-health estimation for the lithium-ion battery based on support vector regression

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A new state-of-health estimation method for lithium-ion batteries through the intrinsic relationship between ohmic internal resistance and capacity

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An end-to-end neural network framework for state-of-health estimation and remaining useful life prediction of electric vehicle lithium batteries

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Battery Health Prognosis Using Brownian Motion Modeling and Particle Filtering

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Remaining useful life prediction for supercapacitor based on long short-term memory neural network

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A multi-feature-based multi-model fusion method for state of health estimation of lithium-ion batteries

Lin, M., Wu, D., Meng, J., Wu, J., & Wu, H. (2021) · Journal of Power Sources · doi:10.1016/j.jpowsour.2021.230774 · Cited by 228

Incremental capacity analysis based adaptive capacity estimation for lithium-ion battery considering charging condition

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Lithium-Ion Battery Pack Robust State of Charge Estimation, Cell Inconsistency, and Balancing: Review

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Feature parameter extraction and intelligent estimation of the State-of-Health of lithium-ion batteries

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State of health estimation of lithium-ion batteries based on the constant voltage charging curve

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General Discharge Voltage Information Enabled Health Evaluation for Lithium-Ion Batteries

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Deep learning-based prognostic approach for lithium-ion batteries with adaptive time-series prediction and on-line validation

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Multiobjective Optimization of Data-Driven Model for Lithium-Ion Battery SOH Estimation With Short-Term Feature

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State-of-charge estimation and remaining useful life prediction of supercapacitors

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State of Health (SoH) estimation methods for second life lithium-ion battery—Review and challenges

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Lithium-ion battery state of health estimation with short-term current pulse test and support vector machine

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Battery Management Systems—Challenges and Some Solutions

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Online Health Diagnosis of Lithium-Ion Batteries Based on Nonlinear Autoregressive Neural Network

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A review on state of health estimation for lithium ion batteries in photovoltaic systems

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A method to estimate battery SOH indicators based on vehicle operating data only

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Life prediction of lithium-ion batteries based on stacked denoising autoencoders

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A Review of Lithium-Ion Battery Thermal Management System Strategies and the Evaluate Criteria

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Critical review on battery thermal management and role of nanomaterial in heat transfer enhancement for electrical vehicle application

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A novel approach of battery pack state of health estimation using artificial intelligence optimization algorithm

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State of health estimation of lithium-ion battery with improved radial basis function neural network

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Review of state-of-the-art battery state estimation technologies for battery management systems of stationary energy storage systems

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Critical Review of Intelligent Battery Systems: Challenges, Implementation, and Potential for Electric Vehicles

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Accurate Prediction Approach of SOH for Lithium-Ion Batteries Based on LSTM Method

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State of Health Estimation for Lithium-ion Batteries Based on Fusion of Autoregressive Moving Average Model and Elman Neural Network

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State-of-Health Estimation of Li-ion Batteries in Electric Vehicle Using IndRNN under Variable Load Condition

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Fast capacity estimation for lithium-ion battery based on online identification of low-frequency electrochemical impedance spectroscopy and Gaussian process regression

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Lithium-ion battery state-of-health estimation in electric vehicle using optimized partial charging voltage profiles

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Towards machine-learning driven prognostics and health management of Li-ion batteries. A comprehensive review

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An evolutionary framework for lithium-ion battery state of health estimation

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An optimized ensemble learning framework for lithium-ion Battery State of Health estimation in energy storage system

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Capacity estimation algorithm with a second-order differential voltage curve for Li-ion batteries with NMC cathodes

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Flexibility of electric vehicles and space heating in net zero energy houses: an optimal control model with thermal dynamics and battery degradation

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Battery incremental capacity curve extraction by a two-dimensional Luenberger–Gaussian-moving-average filter

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A review of the estimation and heating methods for lithium‐ion batteries pack at the cold environment

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Estimation of Lithium-ion Battery Discharge Capacity by Integrating Optimized Explainable-AI and Stacked LSTM Model

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Health Prognosis With Optimized Feature Selection for Lithium-Ion Battery in Electric Vehicle Applications

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State of Health Estimation for Lithium-Ion Battery Using Empirical Degradation and Error Compensation Models

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A Novel State-of-Health Estimation for Lithium-Ion Battery via Unscented Kalman Filter and Improved Unscented Particle Filter

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A review on methods for state of health forecasting of lithium-ion batteries applicable in real-world operational conditions

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Data-Driven Methods for Predicting the State of Health, State of Charge, and Remaining Useful Life of Li-Ion Batteries: A Comprehensive Review

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Lithium-Ion Batteries SOH Estimation With Multimodal Multilinear Feature Fusion

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Power capability evaluation for lithium iron phosphate batteries based on multi-parameter constraints estimation

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Short-Term Prognostics of PEM Fuel Cells: A Comparative and Improvement Study

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A novel practical state of charge estimation method: an adaptive improved ampere‐hour method based on composite correction factor

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A health indicator extraction based on surface temperature for lithium-ion batteries remaining useful life prediction

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A Dynamic Spatial-Temporal Attention-Based GRU Model With Healthy Features for State-of-Health Estimation of Lithium-Ion Batteries

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State-of-charge and state-of-health estimation for lithium-ion battery using the direct wave signals of guided wave

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Energy Management Strategy for Grid-Tied Microgrids Considering the Energy Storage Efficiency

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An On-Board Remaining Useful Life Estimation Algorithm for Lithium-Ion Batteries of Electric Vehicles

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Domain knowledge-guided machine learning framework for state of health estimation in Lithium-ion batteries

Lanubile, A., Bosoni, P., Pozzato, G., Allam, A., Acquarone, M., & Onori, S. (2024) · Communications Engineering · doi:10.1038/s44172-024-00304-2 · Cited by 73

Unraveling the Degradation Mechanisms of Lithium-Ion Batteries

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A voltage reconstruction model based on partial charging curve for state-of-health estimation of lithium-ion batteries

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Review of Various Machine Learning Approaches for Predicting Parameters of Lithium-Ion Batteries in Electric Vehicles

Shan, C., Chin, C. S., Venkateshkumar, M., & Zhang, C. (2024) · Batteries · doi:10.3390/batteries10060181 · Cited by 74

An estimation model for state of health of lithium-ion batteries using energy-based features

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Big data-driven prognostics and health management of lithium-ion batteries:A review

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State of Health Estimation for Lithium-Ion Battery via Recursive Feature Elimination on Partial Charging Curves

Wu, J., Su, H., Meng, J., & Lin, M. (2022) · IEEE Journal of Emerging and Selected Topics in Power Electronics · doi:10.1109/jestpe.2022.3177451 · Cited by 63

A New Lithium-Ion Battery SOH Estimation Method Based on an Indirect Enhanced Health Indicator and Support Vector Regression in PHMs

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A procedure for evaluating the SOH of Li-ion batteries from data during the constant voltage charge phase and the use of an ECM with internal resistance

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Integrated Approach Based on Dual Extended Kalman Filter and Multivariate Autoregressive Model for Predicting Battery Capacity Using Health Indicator and SOC/SOH

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A Machine Learning-Based Robust State of Health (SOH) Prediction Model for Electric Vehicle Batteries

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An improved coulomb counting method based on dual open‐circuit voltage and real‐time evaluation of battery dischargeable capacity considering temperature and battery aging

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Online Remaining Useful Life Prediction for Lithium-Ion Batteries Using Partial Discharge Data Features

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State-of-health estimation for lithium battery in electric vehicles based on improved unscented particle filter

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State of Health Diagnosis and Remaining Useful Life Prediction for Lithium-ion Battery Based on Data Model Fusion Method

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Review on the Selection of Health Indicator for Lithium Ion Batteries

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Battery Health Monitoring for Commercialized Electric Vehicle Batteries: Lithium-Ion

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State of health prediction for lithium-ion batteries using multiple-view feature fusion and support vector regression ensemble

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