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

A review on the key issues for lithium-ion battery management in electric vehicles

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Power Electronics

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A multiscale framework with extended Kalman filter for lithium-ion battery SOC and capacity estimation

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On-board state of health monitoring of lithium-ion batteries using incremental capacity analysis with support vector regression

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An online method for lithium-ion battery remaining useful life estimation using importance sampling and neural networks

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Online battery state of health estimation based on Genetic Algorithm for electric and hybrid vehicle applications

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A new model for State-of-Charge (SOC) estimation for high-power Li-ion batteries

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A novel temperature-compensated model for power Li-ion batteries with dual-particle-filter state of charge estimation

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Lithium-Ion Health Prediction for Battery Systems Using Deep A-LSTM-CNN Approach

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A novel multi-scenario battery health assessment method combining semi-supervised learning and data augmentation techniques

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A Time-Varying Log-linear Model for Predicting the Resistance of Lithium-ion Batteries

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State-of-health prediction of lithium-ion battery based on improved gate recurrent unit

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An Electric Vehicle Battery State-of-Health Estimation System with Aging Propagation Consideration

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Deep Neural Networks for Improved Terminal Voltage and State-of-Charge Estimation of Lithium-Ion Batteries for Traction Applications

Vidal, G. (2020) · MacSphere (McMaster University) · doi:10.71548/23491 · Cited by 2

Battery state-of-health estimation using machine learning

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Capacity correction enhances battery health diagnosis accuracy in data loss scenarios for new energy vehicles

Ren, Y., Su, L., Song, G., & Sun, W. (2025) · Journal of Power Sources · doi:10.1016/j.jpowsour.2025.238033 · Cited by 1

Intelligent and Conventional Methods for SoC and SoH Estimation

Gandhi, R. V., Jha, A., & Bhavsar, K. (2023) · Lecture notes in networks and systems · doi:10.1007/978-981-99-3761-5_36 · Cited by 1

A deformation-based approach to the SoH estimation of collided lithium-ion batteries

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GMDH sinir ağı kullanılarak elastomer tabakalar üzerinde küresel elastomerik yatağın maksimum gerilmesinin tahmini

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Plug-in Hybrid Electric Vehicle (PHEV)

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Probability Forecasting of Lithium-ion Batteries Remaining Useful Life by Using the Additive Quantile Regression Model with Splines

Zou, Q. (2020) · International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC) · doi:10.1109/sdpc49476.2020.9353159

An Experimental Data of Lithium-Ion Battery Time Series Analysis

Xie, L. (2021) · International Journal of Data Analytics · doi:10.4018/ijda.2021070101

Robust State of Health Estimation for Lithium-Ion Batteries Using Machines Learning

Sui, X. (2021) · doi:10.54337/aau466409590

The State Estimation Strategy of Vehicular Batteries under a CPS Architecture

Dou, J., He, H., Li, J., Tang, Y., Zhao, X., & Wang, Y. (2022) · International Conference on Electrical, Computer and Energy Technologies (ICECET) · doi:10.1109/icecet55527.2022.9873001

Cross-Entropy based Feature Selection for Lithium-ion Battery State of Health Estimation

Wu, J., Cheng, Z., & Wang, L. (2022) · International Conference on Systems and Control (ICSC) · doi:10.1109/icsc57768.2022.9993852

Introduction

Chen, J., Ouyang, Q., & Wang, Z. (2023) · Springer eBooks · doi:10.1007/978-981-99-0220-0_1

Improved Gated Recurrent Unit Network with Sparrow Search Algorithm for Lithium-Ion Battery State of Health Estimation

Liu, X., Gao, Z., Tian, J., Ma, T., Li, S., Yin, J., & Zhang, Q. (2023) · IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia) · doi:10.1109/icpsasia58343.2023.10294680

Sorting Strategy for Retired Batteries Based on Voltage Segments

Chen, X., Peng, Q., Meng, J., Wang, J., Gu, T., & Liu, T. (2023) · International Conference on Power Engineering (ICPE) · doi:10.1109/icpe59729.2023.10469405

Lithium-Ion Battery State-of-Charge and State-of-Health Co-Estimation with Feasible Real-Time Implementation

Shao, M., Chen, J., Xu, K., & Wang, Y. (2024) · CAA International Conference on Vehicular Control and Intelligence (CVCI) · doi:10.1109/cvci63518.2024.10830026

Correlation Analysis of Automotive Battery State-of-Health Indicators for Advanced Battery Management Systems

Long, T., Shang, H., Liu, X., Zhang, P., Yue, M., & Meng, J. (2025) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/2025-01-7012

Capacity Correction Enhances Battery Health Diagnosis Accuracy in Data Loss Scenarios for New Energy VehiclesPreprint

Ren, Y., Su, L., Song, G., & Sun, W. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5215305

Capacity Correction Enhances Battery Health Diagnosis Accuracy in Data Loss Scenarios for New Energy VehiclesPreprint

Ren, Y., Su, L., Song, G., & Sun, W. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5263653

State of Charge Estimation for Lithium-Ion Battery Based on Physics Informed Long Short-Term Memory Neural NetworkPreprint

Yang, G., Zhang, Z., Fan, Y., Guo, Y., & Pan, T. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5365612

Data Generation for State-of-Health Estimation of Retired Batteries: Exploration of Conditional Vector Quantized Variational Autoencoder

Zhang, X., Wu, H., Yan, L., Wang, S., Li, H., & Yang, Y. (2025) · Annual Conference of the IEEE Industrial Electronics Society (IECON) · doi:10.1109/iecon58223.2025.11221323

Pyramidal Cascaded Merging Attention Network for Lithium-ion Batteries SOH Estimation

Wang, M., Chen, Y., Wang, J., Shao, B., Fan, D., & Liu, Z. (2024) · International Conference on Reliability, Maintainability and Safety · doi:10.1109/icrms63553.2024.00110

Performance Evaluation for Lithium-ion Battery Based on Health Indicators: A Review

Su, C., & Xia, R. (2025) · IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) · doi:10.1109/ieem63636.2025.11357575

Closed-loop capacity estimation framework for Li-ion batteries based on a coupling model of mechanism and artificial intelligence

Yuan, Y., Lai, H., Sun, Y., Han, X., Wang, P., & Ouyang, M. (2026) · Journal of Energy Storage · doi:10.1016/j.est.2026.121532

Higher order sliding mode control approaches for hybrid power system integrating degradation of the main source

Zhou, Y. (2021) · doi:10.70675/addb75e8z035fz46b9zbf34zf1a3fa1a3161

Evaluation of the State of the health of Li-ion batteries in the context of Circular Economy

Basia, A. (2021) · doi:10.70675/06797df5zc475z4dbbz9ba7zb44aa87109ba · Cited by 1

Electrochemical virtual sensor development for Lithium-ion batteries

Asif, M. M. A. (2023) · doi:10.70675/a4abf326z1ba5z475azb5bdz762c1312fd0c

State of Health Estimation of Lithium-Ion Batteries Based on Partial Non-Stationary Subspace and Optimized Bidirectional Long Short-Term Memory Network

Wu, X., & Chen, T. (2026) · Journal of The Electrochemical Society · doi:10.1149/1945-7111/ae5eaa

Lithium-Ion Battery State of Charge Estimation Using Gated Recurrent Unit Neural Network under Dynamic HPPC Profiles

Akaabour, K., Mahri, M. E., Garmoum, S., & Jarou, T. (2026) · International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) · doi:10.1109/iraset68627.2026.11538742

Hybrid-data-driven SOH estimation for LFP batteries: An engineering-oriented paradigm based on interpretable feature

Ma, M., Lu, M., Zhang, X., Zhang, Y., Zhang, Y., Shabir, T., Lv, H., Xu, X., & Mu, D. (2026) · Journal of Power Sources · doi:10.1016/j.jpowsour.2026.241388

State-of-Health Estimation of Lithium-ion Batteries Based on Singular Value Decomposition and an Improved Group Method of Data Handling

Li, J., Bai, G., Yan, J., & Hua, L. (2024) · Journal of The Electrochemical Society · doi:10.1149/1945-7111/ad1e40 · Cited by 8

The data-driven method for estimating the state of health of lithium-ion batteries

He, L. (2025) · Journal of Physics Conference Series · doi:10.1088/1742-6596/3000/1/012056 · Cited by 1

State of Health Estimation for Lithium-Ion Batteries Based on Charging Curve and Machine Learning

Patel, S., & Khade, S. (2024) · International Conference on E-mobility, Power Control and Smart Systems (ICEMPS) · doi:10.1109/icemps60684.2024.10559327 · Cited by 6

State of Health Estimation of Lithium-Ion Batteries Based on Multihealth Features Fusion and Improved Group Method of Data Handling

Wei, Z., Sun, X., Wang, J., Liu, W., Rong, C., & Liu, C. (2024) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2024.3417600 · Cited by 29

Novel method to Estimate SoH of Lithium-Ion Batteries

Jain, P., Saha, S., & Sankaranarayanan, V. (2021) · Innovations in Energy Management and Renewable Resources (IEMRE) · doi:10.1109/iemre52042.2021.9386881 · Cited by 11