A comprehensive single-particle-degradation model for battery state-of-health prediction

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A Single Particle Model with Chemical/Mechanical Degradation Physics for Lithium Ion Battery State of Health (SOH) Estimation

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Capacity fade study of lithium-ion batteries cycled at high discharge rates

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Cycle Life Modeling of Lithium-Ion Batteries

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Fundamental degradation mechanisms of layered oxide Li-ion battery cathode materials: Methodology, insights and novel approaches

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A Mathematical Model for the Lithium-Ion Negative Electrode Solid Electrolyte Interphase

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A Comprehensive Capacity Fade Model and Analysis for Li-Ion Batteries

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A Simplified Electrochemical and Thermal Aging Model of LiFePO₄-Graphite Li-ion Batteries: Power and Capacity Fade Simulations

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The Electrochemical Reaction of Lithium with Tin Studied By In Situ AFM

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A Single Particle Model for Lithium-Ion Batteries with Electrolyte and Stress-Enhanced Diffusion Physics

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Examination of Graphite Particle Cracking as a Failure Mode in Lithium-Ion Batteries: A Model-Experimental Study

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Numerical Simulation of the Effect of the Dissolution of LiMn[sub 2]O[sub 4] Particles on Li-Ion Battery Performance

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Physical Multiscale Modeling and Numerical Simulation of Electrochemical Devices for Energy Conversion and Storage: From Theory to Engineering to Practice

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SOC and SOH estimation for Li-ion batteries based on an equivalent hydraulic model. Part I: SOC and surface concentration estimation

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Mathematical Modeling of Aging of Li-Ion Batteries

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Lithium ion battery degradation: what you need to know

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Health prognostics for lithium-ion batteries: mechanisms, methods, and prospects

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Lithium-ion battery degradation: how to model it

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A Comprehensive Review of Lithium-Ion Batteries Modeling, and State of Health and Remaining Useful Lifetime Prediction

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Machine learning for predicting battery capacity for electric vehicles

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Electrochemical modeling and parameterization towards control-oriented management of lithium-ion batteries

Liu, K., Gao, Y., Zhu, C., Li, K., Fei, M., Chen, P., Zhang, X., & Han, Q. (2022) · Control Engineering Practice · doi:10.1016/j.conengprac.2022.105176 · Cited by 179 · see citing works

A survey on lithium-ion battery internal and external degradation modeling and state of health estimation

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Aging mechanisms, prognostics and management for lithium-ion batteries: Recent advances

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A state-of-health estimation method of lithium-ion batteries based on multi-feature extracted from constant current charging curve

Guo, Y., Huang, K., & Hu, X. (2021) · Journal of Energy Storage · doi:10.1016/j.est.2021.102372 · Cited by 116 · see citing works

Implementation and evaluation of a practical electrochemical- thermal model of lithium-ion batteries for EV battery management system

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A comparative study of battery state-of-health estimation based on empirical mode decomposition and neural network

Li, K., Wang, Y., & Chen, Z. (2022) · Journal of Energy Storage · doi:10.1016/j.est.2022.105333 · Cited by 93 · see citing works

Modeling the Solid Electrolyte Interphase: Machine Learning as a Game Changer?

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An electrochemical-thermal-aging effects coupled model for lithium-ion batteries performance simulation and state of health estimation

Chen, S., Zhang, Q., Wang, F., Wang, D., & He, Z. (2023) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2023.122128 · Cited by 91 · see citing works

A real-time energy management approach with fuel cell and battery competition-synergy control for the fuel cell vehicle

Zou, W., Li, J., Yang, Q., Wan, X., He, Y., & Lan, H. (2023) · Applied Energy · doi:10.1016/j.apenergy.2023.120667 · Cited by 79 · see citing works

Battery State-of-Health Estimation Using Machine Learning and Preprocessing with Relative State-of-Charge

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A systematic review of electrochemical model-based lithium-ion battery state estimation in battery management systems

Guo, F., Couto, L. D., Mulder, G., Trad, K., Hu, G., Capron, O., & Haghverdi, K. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.113850 · Cited by 75 · see citing works

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

Yang, S., Zhang, C., Jiang, J., Zhang, W., Gao, Y., & Zhang, L. (2021) · Journal of Energy Storage · doi:10.1016/j.est.2021.102271 · Cited by 67 · see citing works

State of health estimation of lithium-ion batteries based on fine-tuning or rebuilding transfer learning strategies combined with new features mining

Huang, K., Yao, K., Guo, Y., & Lv, Z. (2023) · Energy · doi:10.1016/j.energy.2023.128739 · Cited by 65 · see citing works

Mathematical modelling of electrochemical, thermal and degradation processes in lithium-ion cells—A comprehensive review

Mehta, R., & Gupta, A. K. (2023) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2023.114264 · Cited by 65 · see citing works

Accurate Model Parameter Identification to Boost Precise Aging Prediction of Lithium‐Ion Batteries: A Review

Ding, S., Li, Y., Dai, H., Wang, L., & He, X. (2023) · Advanced Energy Materials · doi:10.1002/aenm.202301452 · Cited by 67 · see citing works

Optimal configuration of battery energy storage system with multiple types of batteries based on supply-demand characteristics

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Multi-objective optimization of an air cooling battery thermal management system considering battery degradation and parasitic power loss

Li, W., Wang, N., Garg, A., & Gao, L. (2022) · Journal of Energy Storage · doi:10.1016/j.est.2022.106382 · Cited by 62 · see citing works

SOC and SOH Joint Estimation of Lithium-Ion Battery Based on Improved Particle Filter Algorithm

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Review of Battery Energy Storage Systems Modeling in Microgrids with Renewables Considering Battery Degradation

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Toward more realistic microgrid optimization: Experiment and high-efficient model of Li-ion battery degradation under dynamic conditions

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State of health estimation of large-cycle lithium-ion batteries based on error compensation of autoregressive model

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An improved single-particle model with electrolyte dynamics for high current applications of lithium-ion cells

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Battery state of health estimation under fast charging via deep transfer learning

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Research Progress of Battery Life Prediction Methods Based on Physical Model

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Analysis of the lithium-ion battery capacity degradation behavior with a comprehensive mathematical model

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A novel data-driven method for online parameter identification of an electrochemical model based on cuckoo search and particle swarm optimization algorithm

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Physics-based, reduced order degradation model of lithium-ion batteries

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State-of-Health Prediction for Li-ion Batteries for Efficient Battery Management System Using Hybrid Machine Learning Model

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Resource-efficient artificial intelligence for battery capacity estimation using convolutional FlashAttention fusion networks

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A novel characteristic-based degradation model of Li-ion batteries for maximum financial benefits of energy storage system during peak demand reductions

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Parameter sensitivity analysis of a multi-physics coupling aging model of lithium-ion batteries

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An efficient optimal sizing strategy for a hybrid electric air-ground vehicle using adaptive spiral optimization algorithm

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A Review on the Degradation Implementation for the Operation of Battery Energy Storage Systems

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Increasing generalization capability of battery health estimation using continual learning

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Rapid estimation of residual capacity for retired LiFePO4 batteries using voltage interval at low state of charge

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A digital twin to quantitatively understand aging mechanisms coupled effects of NMC battery using dynamic aging profiles

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Unveiling the secrets behind physics-based modeling of lithium-ion battery degradation and its key applications

Fan, G., Zhou, B., Ye, S., Shen, H., Huo, D., & Zhang, X. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.114086 · Cited by 28 · see citing works

Battery Full Life Cycle Management and Health Prognosis Based on Cloud Service and Broad Learning

Wang, Y., Li, K., & Chen, Z. (2022) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2022.105779 · Cited by 27 · see citing works

Internal fault diagnosis method for lithium batteries based on a failure physical model

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Review on State of charge prediction of battery management system in electric vehicles

Karthick, A. (2025) · Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering · doi:10.1177/09544070251380931 · Cited by 25 · see citing works

Novel strategy based on improved Kalman filter algorithm for state of health evaluation of hybrid electric vehicles Li-ion batteries during short- and longer term operating conditions

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Estimation of maximum available capacity of lithium-ion battery based on multi-view features extracted from reconstructed charging curve

Huang, K., Guo, Y., & Li, S. (2022) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2022.04.087 · Cited by 26 · see citing works

Battery health prediction under data scarcity: A cross-domain physics-informed 5-shot framework with GRU-Transformer

Nie, X., Pan, Y., Zhang, Y., Luo, Z., & Wang, S. (2025) · Applied Energy · doi:10.1016/j.apenergy.2025.127012 · Cited by 25 · see citing works

Physics-based fractional-order model and parameters identification of liquid metal battery

Shi, Q., Guo, Z., Wang, S., Yan, S., Zhou, X., Li, H., Wang, K., & Jiang, K. (2022) · Electrochimica Acta · doi:10.1016/j.electacta.2022.140916 · Cited by 23 · see citing works

Simulation Study on Heat Generation Characteristics of Lithium-Ion Battery Aging Process

Huang, R. N., Xu, Y., Wu, Q., Chen, J., Chen, F., & Yu, X. (2023) · Electronics · doi:10.3390/electronics12061444 · Cited by 23 · see citing works

A CNN-LSTM hybrid network with transfer learning for accurate lithium-ion battery state of health estimation

Zhang, X., Wang, L., Gong, Q., & Wang, Y. (2025) · Journal of Energy Storage · doi:10.1016/j.est.2025.119450 · Cited by 17 · see citing works

Control-Oriented Physics-Based Modeling and Observer Design for State-of-Charge Estimation of Lithium-Ion Cells for High Current Applications

Nath, A., Mehta, R., Gupta, R., Bahga, S. S., Gupta, A. K., & Bhasin, S. (2022) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2022.3152446 · Cited by 17 · see citing works

State of health indicators for second life battery through non-destructive test approaches from repurposer perspective

Vignesh, S., Seng, H., Selvaraj, J. A.-L., & Tey, K. S. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.111656 · Cited by 18 · see citing works

Rapid Simulation of Electro-Chemo-Mechanical Deformation of Li-ion Batteries Based On Porous Electrode Theory

Ipers, G., Jiao, J., Pathak, S., Fang, R., Berliner, M. D., Li, W., Li, W., Braatz, R. D., Bazant, M. Z., & Zhu, J. (2024) · Journal of The Electrochemical Society · doi:10.1149/1945-7111/ad4f1e · Cited by 17 · see citing works

Effect of porous structure and morphology of cathode on the degradation of lithium-ion batteries

Lee, Y. K. (2022) · Journal of Energy Storage · doi:10.1016/j.est.2022.104788 · Cited by 16 · see citing works

Battery health prediction using two-dimensional multi-channel ensemble models

Yao, L. Y., Zhao, C., Xiao, Y., Dai, H., Fei, Z., & Zhang, L. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.111304 · Cited by 16 · see citing works

Lithium-ion battery health prognosis via electrochemical impedance spectroscopy using CNN-BiLSTM model

Liu, Z., Sun, Y., Yu-tian, L., Liu, Y., Chen, Y., & Zhang, Y. (2024) · Journal of Materials Informatics · doi:10.20517/jmi.2024.09 · Cited by 17 · see citing works

Data-driven modeling of lithium-ion battery degradation using XGBoost with extended Kalman filter-based internal resistance correction

Apribowo, C. H. B., Ashidqi, M. D., Nizam, M., & Purwanto, A. (2025) · Results in Engineering · doi:10.1016/j.rineng.2025.108100 · Cited by 14 · see citing works

State‐of‐Health Estimation of Lithium‐Ion Batteries Based on Thermal Characteristics Mining and Multi‐Gaussian Process Regression Strategy

Guo, Y., Yu, X., Wang, Y., Zhang, R., & Huang, K. (2022) · Energy Technology · doi:10.1002/ente.202200151 · Cited by 14 · see citing works

State-of-health estimation of lithium-ion batteries based on QPSO-BPNN

Yao, Y., Li, F., Li, H., Liu, J., Wang, X., & Li, T. (2024) · Ionics · doi:10.1007/s11581-024-05968-6 · Cited by 13 · see citing works

Nanofluid thermoelectric cooler based advanced battery thermal management system for battery degradation mitigation in real driving cycles

Khalili, H., Ahmadi, P., Ashjaee, M., & Houshfar, E. (2022) · International Journal of Energy Research · doi:10.1002/er.8065 · Cited by 13 · see citing works

Battery Pack State of Charge Estimation Toward Transportation Electrification: Challenges and Opportunities

Fan, C., Liu, K., Gu, C., Yu, Q., Wang, R., Fang, J., & Peng, Q. (2025) · IEEE Journal of Emerging and Selected Topics in Industrial Electronics · doi:10.1109/jestie.2025.3545746 · Cited by 12 · see citing works

Data-Driven Semi-Empirical Model Approximation Method for Capacity Degradation of Retired Lithium-Ion Battery Considering SOC Range

Xu, W., Cao, H., Lin, X., Shu, F., Du, J., Wang, J., & Tang, J. (2023) · Applied Sciences · doi:10.3390/app132111943 · Cited by 12 · see citing works

Unravelling degradation mechanisms and overpotential sources in aged and non-aged batteries: A non-invasive diagnosis

Appiah, W. A., Rieger, L., Flores, E., Vegge, T., & Bhowmik, A. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.111000 · Cited by 12 · see citing works

Towards interactional management for power batteries of electric vehicles

He, R., Xie, W., Wu, B., Brandon, N. P., Liu, X., Li, X., & Yang, S. (2023) · RSC Advances · doi:10.1039/d2ra06004c · Cited by 14 · see citing works

Improving the convergence rate of Newman’s battery model using 2nd order finite element method

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Determination of constant current to constant voltage switch-over point for health-aware fast charging using heuristic algorithm

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Assessment of Core-Shell and Agglomerate Particle Design for All-Solid-State Batteries

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Parameter Identification and Optimization for Lithium-Ion Battery State of Health Detection

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Online SOH Estimation in Lithium-Ion Batteries Using Electrochemical Model and Unscented Particle Filter

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Mathematical modeling of electrode-electrolyte interfaces: From Li-ion batteries to water electrolysis

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A Single Particle Model with Chemical/Mechanical Degradation Physics for Lithium Ion Battery State of Health (SOH) Estimation

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An efficient and independent modeling method for lithium-ion battery degradation

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