High C-rate Li-NMC/graphite pouch cell end-of-life prediction via cycle-dependent variations and machine learning

Jung-goo Choi, Jethro Daniel Pascasio and Jaeyoung Lee

Dalton Trans., 2025, 54, 9754
DOI: 10.1039/D5DT00659G

AI enabled fast charging of lithium-ion batteries of electric vehicles during their life cycle: review, challenges and perspectives

Daoming Sun, Dongxu Guo, Yufang Lu, Jiali Chen, Yao Lu, Xuebing Han, Xuning Feng, Languang Lu, Hewu Wang and Minggao Ouyang

Energy Environ. Sci., 2024, 17, 7512
DOI: 10.1039/D4EE03063J

Multiscale correlative imaging reveals sequential and heterogeneous degradations in fast-charging batteries

Dechao Meng, Zhichen Xue, Guokang Chen, Dengke Zhou, Yu-Shi He, Zi-Feng Ma, Yijin Liu and Linsen Li

Energy Environ. Sci., 2024, 17, 4658
DOI: 10.1039/D4EE01497A

The origin of overpotential in lithium-mediated nitrogen reduction

O. Westhead, R. Tort, M. Spry, J. Rietbrock, R. Jervis, A. Grimaud, A. Bagger and I. E. L. Stephens

Faraday Discuss., 2023, 243, 321
DOI: 10.1039/D2FD00156J

Aging matrix visualizes complexity of battery aging across hundreds of cycling protocols

Bruis van Vlijmen, Vivek N. Lam, Patrick A. Asinger, Xiao Cui, Joachim Schaeffer, Alexis Geslin, Devi Ganapathi, Shijing Sun, Patrick K. Herring, Chirranjeevi Balaji Gopal, Natalie Geise, Haitao D. Deng, Henry L. Thaman, Stephen Dongmin Kang, Steven B. Torrisi, Amalie Trewartha, Abraham Anapolsky, Brian D. Storey, William E. Gent, Richard D. Braatz and William C. Chueh

Energy Environ. Sci., 2025, 18, 6641
DOI: 10.1039/D4EE05609D

An insight into battery degradation for the proposal of a battery-friendly charging technique

Bikash Sah and Praveen Kumar

Energy Adv., 2023, 2, 1429
DOI: 10.1039/D3YA00275F

Decoding the puzzle: recent breakthroughs in understanding degradation mechanisms of Li-ion batteries

Aditya Narayan Singh, Kamrul Hassan, Chinna Bathula and Kyung-Wan Nam

Dalton Trans., 2023, 52, 17061
DOI: 10.1039/D3DT02957C

An intelligent battery management system (BMS) with end-edge-cloud connectivity – a perspective

Sai Krishna Mulpuri, Bikash Sah and Praveen Kumar

Sustainable Energy Fuels, 2025, 9, 1142
DOI: 10.1039/D4SE01238K

Physics-based modelling and analysis of various ageing mechanisms in sodium-ion batteries

Manjunath L. Nilugal and Venkatasailanathan Ramadesigan

Journal of Power Sources, 2025, 641, 236836
DOI: 10.1016/j.jpowsour.2025.236836

Comprehensive Review of Data-Driven Degradation Diagnosis of Lithium-Ion Batteries through Electrochemical and Multi-scale Imaging Analyses

Cheolhwi Park, Taehun Kim, Yung-Eun Sung, Kanghyun Ryu and Jungjin Park

Korean J. Chem. Eng., 2024
DOI: 10.1007/s11814-024-00277-0

Enhancing the integration of PV and coal-fired power plant for low-carbon, low-cost, and reliable power supply through various energy storage systems

Yuhao Shao, Yangshu Lin, Chao Yang, Yifan Wang, Minglei Bao, Yuankai Zhu, Wenxuan Guo, Xinrong Yan, Chenghang Zheng and Xiang Gao

Sustainable Energy Technologies and Assessments, 2024, 69, 103924
DOI: 10.1016/j.seta.2024.103924

Physics-based model of a lithium-ion battery cell in Modelica

Alfonso Urquía and Carla Martín-Villalba

Mathematical and Computer Modelling of Dynamical Systems, 2025, 31
DOI: 10.1080/13873954.2025.2509513

Aging behavior of LiFePO4-based battery cells at stack level: A Second-Life cycling study

Daniel Aeppli, Erwin Hack and Marcel Held

Journal of Energy Storage, 2025, 129, 117135
DOI: 10.1016/j.est.2025.117135

Advancements in Artificial Neural Networks for health management of energy storage lithium-ion batteries: A comprehensive review

Yuntao Zou, Zihui Lin, Dagang Li and ZhiChun Liu

Journal of Energy Storage, 2023, 73, 109069
DOI: 10.1016/j.est.2023.109069

General Machine Learning Approaches for Lithium-Ion Battery Capacity Fade Compared to Empirical Models

Quentin Mayemba, Gabriel Ducret, An Li, Rémy Mingant and Pascal Venet

Batteries, 2024, 10, 367
DOI: 10.3390/batteries10100367

Diffusion-induced stress amplification in phase-transition materials for electrodes of lithium-ion batteries

Davide Clerici

International Journal of Mechanical Sciences, 2024, 281, 109541
DOI: 10.1016/j.ijmecsci.2024.109541

Physics-Based Analysis of Cell Imbalances and Aging in Lithium-Ion Battery Modules and Packs

Surya Mitra Ayalasomayajula, Yuliya Preger, Jacob Mueller and Srikanth Allu

J. Electrochem. Soc., 2025, 172, 080526
DOI: 10.1149/1945-7111/adf66f

Parallel-Connected Battery Current Imbalance Dynamics

Andrew Weng, Sravan Pannala, Jason B. Siegel and Anna G. Stefanopoulou

IFAC-PapersOnLine, 2022, 55, 37
DOI: 10.1016/j.ifacol.2022.11.158

A review on health estimation techniques of end-of-first-use lithium-ion batteries for supporting circular battery production

Liang Cong, Wanhua Wang and Yue Wang

Journal of Energy Storage, 2024, 94, 112406
DOI: 10.1016/j.est.2024.112406

A Comprehensive Review of In Situ Measurement Techniques for Evaluating the Electro-Chemo-Mechanical Behaviors of Battery Electrodes

Hainan Jiang, Jie Chen, Xiaolin Li, Zhiyao Jin, Tianjun Chen, Jiahui Liu and Dawei Li

Molecules, 2024, 29, 1873
DOI: 10.3390/molecules29081873

Degradation Prediction and Cost Optimization of Second-Life Battery Used for Energy Arbitrage and Peak-Shaving in an Electric Grid

Rongheng Li, Ali Hassan, Nishad Gupte, Wencong Su and Xuan Zhou

Energies, 2023, 16, 6200
DOI: 10.3390/en16176200

Simulation and reduction of nonuniform capacity fading in a cylindrical battery module via reciprocating thermal design

Virendra Talele, Mohammad Ahmadian-Elmi, Ankur Jain, Dhananjay Mishra, Thomas A. Zawodzinski and Peng Zhao

Journal of Energy Storage, 2024, 103, 114143
DOI: 10.1016/j.est.2024.114143

Electrochemical and aging model of li-ion batteries and estimation of total number of cycles during the lifecycle of the battery

Prasath Raj, Ernst Richter, Frieder Herb, Julian Kempf, Florence Michel and Kai Peter Birke

e-Prime - Advances in Electrical Engineering, Electronics and Energy, 2024, 9, 100712
DOI: 10.1016/j.prime.2024.100712

Innovations and prognostics in battery degradation and longevity for energy storage systems

Julian Tebbe, Alexander Hartwig, Ali Jamali, Hossein Senobar, Abdul Wahab, Mustafa Kabak, Hans Kemper and Hamid Khayyam

Journal of Energy Storage, 2025, 114, 115724
DOI: 10.1016/j.est.2025.115724

Lithium-ion battery progress in surface transportation: status, challenges, and future directions

Sudeep Singh Rawat, Roushan Kumar and Kaushik Das

Multimed Tools Appl, 2024, 84, 32927
DOI: 10.1007/s11042-024-20505-3

Simplified electrochemical model assisted detection of the early-stage internal short circuit through battery aging

Ruifei Ma, Yelin Deng and Xingxing Wang

Journal of Energy Storage, 2023, 66, 107478
DOI: 10.1016/j.est.2023.107478

Unlocking the full potential of electric vehicle fast-charging over lifetime through model-based aging adaptation

Kareem Abo Gamra, Philip Bilfinger, Markus Schreiber, Thomas Kröger, Christian Allgäuer and Markus Lienkamp

Journal of Energy Storage, 2024, 99, 113361
DOI: 10.1016/j.est.2024.113361

Insights into the stress-induced acceleration mechanism on calendar aging of lithium-ion battery

Yunfan Li, Xinyi Qu, Jundi Huang, Gaoming Fu, Xiang Chen, Ke Li, Weijia Shen and Yixin Lin

Journal of Power Sources, 2025, 648, 237415
DOI: 10.1016/j.jpowsour.2025.237415

Assessing degradation modes in cylindrical lithium-ion batteries: A non-invasive method using the entropic heat flow or surface temperature

Alexander Kunz, Cedric Kirst, Axel Durdel, Jan P. Singer and Andreas Jossen

Journal of Power Sources, 2025, 627, 235732
DOI: 10.1016/j.jpowsour.2024.235732

Simulation and understanding of degraded lithium-ion battery self-heating ignition

Xinlei Gao, Kuijie Li, Yuan-cheng Cao, Gregory J. Offer and Huizhi Wang

Applied Energy, 2025, 384, 125435
DOI: 10.1016/j.apenergy.2025.125435

A continuum of physics-based lithium-ion battery models reviewed

F Brosa Planella, W Ai, A M Boyce, A Ghosh, I Korotkin, S Sahu, V Sulzer, R Timms, T G Tranter, M Zyskin, S J Cooper, J S Edge, J M Foster, M Marinescu, B Wu and G Richardson

Prog. Energy, 2022, 4, 042003
DOI: 10.1088/2516-1083/ac7d31

A continuum model for lithium plating and dendrite formation in lithium-ion batteries: Formulation and validation against experiment

Smita Sahu and Jamie M. Foster

Journal of Energy Storage, 2023, 60, 106516
DOI: 10.1016/j.est.2022.106516

Assessment and Comparative Study of Free and Commercial Numerical Software Packages for Lithium‐Ion Battery Modeling

Kenneth C. Nwanoro, Michael P. Mercer and Harry E. Hoster

Advcd Theory and Sims, 2025
DOI: 10.1002/adts.202500302

Online data-driven battery life prediction and quick classification based on partial charging data within 10 min

Yongzhi Zhang, Mingyuan Zhao and Rui Xiong

Journal of Power Sources, 2024, 594, 234007
DOI: 10.1016/j.jpowsour.2023.234007

Powering the Future: A Comprehensive Review of Battery Energy Storage Systems

Sergi Obrador Rey, Juan Alberto Romero, Lluis Trilla Romero, Àlber Filbà Martínez, Xavier Sanchez Roger, Muhammad Attique Qamar, José Luis Domínguez-García and Levon Gevorkov

Energies, 2023, 16, 6344
DOI: 10.3390/en16176344

Open source online electrochemical impedance spectroscopy data analytics tool

Alexander Blömeke, Ole Kappelhoff, David Wasylowski, Florian Ringbeck and Dirk Uwe Sauer

Journal of Power Sources, 2024, 615, 235049
DOI: 10.1016/j.jpowsour.2024.235049

Lithium-ion battery lifetime extension: A review of derating methods

Haijun Ruan, Jorge Varela Barreras, Timothy Engstrom, Yu Merla, Robert Millar and Billy Wu

Journal of Power Sources, 2023, 563, 232805
DOI: 10.1016/j.jpowsour.2023.232805

Analyzing cell-to-cell heterogeneities and cell configurations in parallel-connected battery modules using physics-based modeling

Simone Fasolato, Anirudh Allam, Simona Onori and Davide M. Raimondo

Journal of Energy Storage, 2025, 129, 116942
DOI: 10.1016/j.est.2025.116942

Integration of topological data analysis and entropy features for the prediction of lithium-ion battery state-of-health

Manoj K. Singh, Anuj Kumar, Sangeeta Pant, Shshank Chaube, Kriti Misra, Jitendra Pal Singh and Ketan Kotecha

Future Batteries, 2025, 6, 100059
DOI: 10.1016/j.fub.2025.100059

Physical knowledge guided state of health estimation of lithium-ion battery with limited segment data

Fujin Wang, Ziqian Wu, Zhibin Zhao, Zhi Zhai, Chenxi Wang and Xuefeng Chen

Reliability Engineering & System Safety, 2024, 251, 110325
DOI: 10.1016/j.ress.2024.110325

Comprehensive aging model coupling chemical and mechanical degradation mechanisms for NCM/C6-Si lithium-ion batteries

Keming Zhu, Tong Wang, Yan Wu, Jiayuan Luo and Yuqi Huang

Energy Storage Materials, 2024, 71, 103620
DOI: 10.1016/j.ensm.2024.103620

Effect of external pressure and internal stress on battery performance and lifespan

Ruihe Li, Wei Li, Avtar Singh, Dongsheng Ren, Zhichao Hou and Minggao Ouyang

Energy Storage Materials, 2022, 52, 395
DOI: 10.1016/j.ensm.2022.07.034

Efficient Workflows for Detecting Li Depositions in Lithium-Ion Batteries

Thomas Waldmann, Christin Hogrefe, Marius Flügel, Ivana Pivarníková, Christian Weisenberger, Estefane Delz, Marius Bolsinger, Lioba Boveleth, Neelima Paul, Michael Kasper, Max Feinauer, Robin Schäfer, Katharina Bischof, Timo Danner, Volker Knoblauch, Peter Müller-Buschbaum, Ralph Gilles, Arnulf Latz, Markus Hölzle and Margret Wohlfahrt-Mehrens

J. Electrochem. Soc., 2024, 171, 070526
DOI: 10.1149/1945-7111/ad5ef8

Effect of WLTP CLASS 3B Driving Cycle on Lithium-Ion Battery for Electric Vehicles

Salvatore Micari, Salvatore Foti, Antonio Testa, Salvatore De Caro, Francesco Sergi, Laura Andaloro, Davide Aloisio, Salvatore Gianluca Leonardi and Giuseppe Napoli

Energies, 2022, 15, 6703
DOI: 10.3390/en15186703

Modeling and Simulation of a Commercial Lithium-Ion Battery with Charge Cycle Predictions

Mónica Camas-Náfate, Alberto Coronado-Mendoza, Carlos Jesahel Vega-Gómez and Francisco Espinosa-Moreno

Sustainability, 2022, 14, 14035
DOI: 10.3390/su142114035

Review on the numerical modeling of fracture in active materials for lithium ion batteries

Francesca Pistorio, Davide Clerici, Francesco Mocera and Aurelio Somà

Journal of Power Sources, 2023, 566, 232875
DOI: 10.1016/j.jpowsour.2023.232875

A generic physics-informed machine learning framework for battery remaining useful life prediction using small early-stage lifecycle data

Weikun Deng, Hung Le, Khanh T.P. Nguyen, Christian Gogu, Kamal Medjaher, Jérôme Morio and Dazhong Wu

Applied Energy, 2025, 384, 125314
DOI: 10.1016/j.apenergy.2025.125314

Enhancing battery health estimation using incomplete charging curves and knowledge-guided deep learning

Kui Zhang, Safwat Khair Rayeem, Weijie Mai, Jinpeng Tian, Liang Ma, Tieling Zhang and C.Y. Chung

Reliability Engineering & System Safety, 2025, 262, 111211
DOI: 10.1016/j.ress.2025.111211

Identifying the origin of inhomogeneous degradation and irreversible swelling inside cylindrical 21700 high-energy lithium-ion cells

A. Aufschläger, A. Durdel and A. Jossen

Journal of Energy Storage, 2024, 90, 111726
DOI: 10.1016/j.est.2024.111726

Net benefit-oriented condition-based maintenance for lithium-ion battery packs in SGLS systems: Combining degradation updating and decision-making

Mengzi Zhen, Zhen Chen, Biao Lu, Zhaoxiang Chen and Ershun Pan

Computers & Industrial Engineering, 2025, 200, 110850
DOI: 10.1016/j.cie.2024.110850

Stress-dependent capacity fade behavior and mechanism of lithium-ion batteries

Yunfan Li, Ke Li, Weijia Shen, Jundi Huang, Xinyi Qu, Yuxiao Zhang and Yixin Lin

Journal of Energy Storage, 2024, 86, 111165
DOI: 10.1016/j.est.2024.111165

A Single Particle model with electrolyte and side reactions for degradation of lithium-ion batteries

Ferran Brosa Planella and W. Dhammika Widanage

Applied Mathematical Modelling, 2023, 121, 586
DOI: 10.1016/j.apm.2022.12.009

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

Gerrit Ipers, Junning Jiao, Shakul Pathak, Ruqing Fang, Marc D. Berliner, Wei Li, Weihan Li, Richard D. Braatz, Martin Z. Bazant and Juner Zhu

J. Electrochem. Soc., 2024, 171, 050557
DOI: 10.1149/1945-7111/ad4f1e

A Novel Global-Local Multistage Algorithm for Fast Noninvasive Parameterization of P2D Lithium-Ion Battery Models

Toshan Wickramanayake and Kamyar Mehran

IEEE Trans. Transp. Electrific., 2025, 11, 6812
DOI: 10.1109/TTE.2024.3516489

Adaptive multi-task learning for battery health prediction: A BiLSTM framework with Bayesian optimization and dynamic task weighting

Shuhao Chen, Sicheng Wang, HangJie Zhang, Jingran Zhou and Chengyi Tu

Journal of Power Sources, 2025, 655, 237988
DOI: 10.1016/j.jpowsour.2025.237988

Battery state-of-health diagnostics during fast cycling using physics-informed deep-learning

Peter J. Weddle, Sangwook Kim, Bor-Rong Chen, Zonggen Yi, Paul Gasper, Andrew M. Colclasure, Kandler Smith, Kevin L. Gering, Tanvir R. Tanim and Eric J. Dufek

Journal of Power Sources, 2023, 585, 233582
DOI: 10.1016/j.jpowsour.2023.233582

Multi timescale battery modeling: Integrating physics insights to data-driven model

Tushar Desai, Alexander J. Gallo and Riccardo M.G. Ferrari

Applied Energy, 2025, 393, 126040
DOI: 10.1016/j.apenergy.2025.126040

Degradation Processes in Current Commercialized Li-Ion Batteries and Strategies to Mitigate Them

Alexander Kraytsberg and Yair Ein-Eli

Annual Review of Materials Research, 2024, 54, 143
DOI: 10.1146/annurev-matsci-080522-104112

Capacity Degradation and Aging Mechanisms Evolution of Lithium-Ion Batteries under Different Operation Conditions

Guoqing Luo, Yongzhi Zhang and Aihua Tang

Energies, 2023, 16, 4232
DOI: 10.3390/en16104232

Optimal fast charging of lithium-ion batteries through continual hybrid model learning

Habtamu Hailemichael and Beshah Ayalew

IFAC-PapersOnLine, 2024, 58, 414
DOI: 10.1016/j.ifacol.2025.01.081

Electrochemical–mechanical coupled model for computationally efficient prediction of long-term capacity fade of lithium-ion batteries

Kwangrae Kim, Gyeonghwan Lee, Huiyong Chun, Jongchan Baek, Hyeonjang Pyeon, Minho Kim and Soohee Han

Journal of Energy Storage, 2024, 86, 111224
DOI: 10.1016/j.est.2024.111224

JuBat: A Julia-based framework for battery modelling using finite element method

Weilong Ai and Yuan Liu

SoftwareX, 2024, 27, 101760
DOI: 10.1016/j.softx.2024.101760

Battery capacity estimation based on a co-learning framework with few-labeled and noisy data

Guodong Fan, Jiaqi Li, Ziqiang Sun, Yisheng Liu and Xi Zhang

Journal of Power Sources, 2024, 600, 234263
DOI: 10.1016/j.jpowsour.2024.234263

A diagnostic model for lithium plating in lithium-ion batteries incorporating a simplified electrochemical-thermal coupling model

Di Qu, Shilong Guo, Chao Wang, Yaxuan Wang, Lei Zhao, Yunfeng Jiang, Qiwei Wang, Junfu Li, Changru Rong and Zhenbo Wang

J Solid State Electrochem, 2025, 29, 3811
DOI: 10.1007/s10008-025-06236-x

Learning Optimal Forms of Constitutive Relations Characterizing Ion Intercalation from Data in Mathematical Models of Lithium-Ion Batteries

Lindsey Daniels, Smita Sahu, Kevin J. Sanders, Gillian R. Goward, Jamie M. Foster and Bartosz Protas

J. Phys. Chem. C, 2023, 127, 17508
DOI: 10.1021/acs.jpcc.3c02915

Framework for monitoring electric vehicle battery second life health and estimating remaining useful life

Mohammad Rajabzadeh, Vincent Hargaden, Pezhman Ghadimi, Christoph F. Strnadl and Nikolaos Papakostas

Procedia CIRP, 2025, 132, 209
DOI: 10.1016/j.procir.2025.01.035

Heterogeneity-Induced Power and Capacity Loss in Parallel-Connected Cells

Kiran Bhaskar, Ajith Kumar, James Bunce, Jacob Pressman, Neil Burkell, Nathan Miller and Christopher D. Rahn

IEEE Trans. Transp. Electrific., 2025, 11, 6305
DOI: 10.1109/TTE.2024.3505848

Performance and Life Analysis of Lithium‐Ion Batteries Aided by Data‐Driven Analysis

Ashish Anil Deshpande, S. D. V. S. S. Varma Siruvuri, Y. B. Sudhir Sastry, Bhanumurthy Rammohan, Samy Refahy Mahmoud and Pattabhi Ramaiah Budarapu

Int Journal of Mech Sys Dyn, 2025, 5, 277
DOI: 10.1002/msd2.70014

Physics-based Models, Machine Learning, and Experiment: Towards Understanding Complex Electrode Degradation

Karthik S. Mayilvahanan, Andrew Nicoll, Jwal R. Soni, Kenneth J. Takeuchi, Esther S. Takeuchi, Amy C. Marschilok and Alan C. West

J. Electrochem. Soc., 2023, 170, 010502
DOI: 10.1149/1945-7111/acadab

A million cycles in a day: Enabling high-throughput computing of lithium-ion battery degradation with physics-based models

Ruihe Li, Simon O'Kane, Jianbo Huang, Monica Marinescu and Gregory J. Offer

Journal of Power Sources, 2024, 598, 234184
DOI: 10.1016/j.jpowsour.2024.234184

Lithium-ion battery digitalization: Combining physics-based models and machine learning

Mahshid N. Amiri, Anne Håkansson, Odne S. Burheim and Jacob J. Lamb

Renewable and Sustainable Energy Reviews, 2024, 200, 114577
DOI: 10.1016/j.rser.2024.114577

Performance and degradation analysis of sodium-ion battery integrated with solar photovoltaic system for microgrid applications

Manjunath L Nilugal and Venkatasailanathan Ramadesigan

Electrochimica Acta, 2025, 524, 146005
DOI: 10.1016/j.electacta.2025.146005

Modeling Battery Formation: Boosted SEI Growth, Multi-Species Reactions, and Irreversible Expansion

Andrew Weng, Everardo Olide, Iaroslav Kovalchuk, Jason B. Siegel and Anna Stefanopoulou

J. Electrochem. Soc., 2023, 170, 090523
DOI: 10.1149/1945-7111/aceffe

The importance of degradation mode analysis in parameterising lifetime prediction models of lithium-ion battery degradation

Ruihe Li, Niall D. Kirkaldy, Fabian F. Oehler, Monica Marinescu, Gregory J. Offer and Simon E. J. O’Kane

Nat Commun, 2025, 16
DOI: 10.1038/s41467-025-57968-3

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

Shicong Ding, Yiding Li, Haifeng Dai, Li Wang and Xiangming He

Advanced Energy Materials, 2023, 13
DOI: 10.1002/aenm.202301452

Modelling of SiOx electrode degradation based on latent variables from 2D-SEM images

Yoichi Takagishi, Yoshiki Hayashi, Takayuki Tsubota and Tatsuya Yamaue

Journal of Energy Storage, 2025, 105, 114621
DOI: 10.1016/j.est.2024.114621

Unveiling the Three Stages of Li Plating and Dynamic Evolution Processes in Pouch C/LiFePO4 Batteries

Ying Lin, Wenxuan Hu, Meifang Ding, Yonggang Hu, Yufan Peng, Jinding Liang, Yimin Wei, Ang Fu, Jianrong Lin and Yong Yang

Advanced Energy Materials, 2024
DOI: 10.1002/aenm.202400894

Fast data augmentation for battery degradation prediction

Weihan Li, Harshvardhan Samsukha, Bruis van Vlijmen, Lisen Yan, Samuel Greenbank, Simona Onori and Venkat Viswanathan

Energy and AI, 2025, 21, 100542
DOI: 10.1016/j.egyai.2025.100542

Current Imbalance in Dissimilar Parallel-Connected Batteries and the Fate of Degradation Convergence

Andrew Weng, Hamidreza Movahedi, Clement Wong, Jason B. Siegel and Anna Stefanopoulou

Journal of Dynamic Systems, Measurement, and Control, 2024, 146
DOI: 10.1115/1.4064028

Is silicon worth it? Modelling degradation in composite silicon–graphite lithium-ion battery electrodes

Mayur P. Bonkile, Yang Jiang, Niall Kirkaldy, Valentin Sulzer, Robert Timms, Huizhi Wang, Gregory Offer and Billy Wu

Journal of Power Sources, 2024, 606, 234256
DOI: 10.1016/j.jpowsour.2024.234256

Interplay of interfacial and structural cracking degradation modes for the high-voltage LiCoO2 cathode at particle’s level

Xuerui Yang, Ying Lin, Shijun Tang, Yuqi Zhou, Xuan Huang, Wen Song, Wen Yang and Yong Yang

Energy Storage Materials, 2025, 81, 104473
DOI: 10.1016/j.ensm.2025.104473

Unraveling capacity fading in lithium-ion batteries using advanced cyclic tests: A real-world approach

Sai Krishna Mulpuri, Bikash Sah and Praveen Kumar

iScience, 2023, 26, 107770
DOI: 10.1016/j.isci.2023.107770

Review on Li-ion Battery Parameter Extraction Methods

Akila E. Jayasinghe, Nuwantha Fernando, Sisil Kumarawadu and Liuping Wang

IEEE Access, 2023, 11, 73180
DOI: 10.1109/ACCESS.2023.3296440

Extending battery life in CubeSats by charging current control utilizing a long short-term memory network for solar power predictions

Vaclav Knap, Gustav A.P. Bonvang, Frederik Rentzø Fagerlund, Sune Krøyer, Kim Nguyen, Mathias Thorsager and Zheng-Hua Tan

Journal of Power Sources, 2024, 618, 235164
DOI: 10.1016/j.jpowsour.2024.235164

Battery capacity knee-onset identification and early prediction using degradation curvature

Huang Zhang, Faisal Altaf and Torsten Wik

Journal of Power Sources, 2024, 608, 234619
DOI: 10.1016/j.jpowsour.2024.234619

Energy Management System for Renewable Energy and Electric Vehicle-Based Industries Using Digital Twins: A Waste Management Industry Case Study

Andrés Bernabeu-Santisteban, Andres C. Henao-Muñoz, Gerard Borrego-Orpinell, Francisco Díaz-González, Daniel Heredero-Peris and Lluís Trilla

Applied Sciences, 2025, 15, 7351
DOI: 10.3390/app15137351

Physics-Aware Degradation Model of Lithium-ion Battery Energy Storage for Techno-Economic Studies in Power Systems

Anton. V. Vykhodtsev, Darren Jang, Qianpu Wang, William Rosehart and Hamidreza Zareipour

IEEE Trans. Sustain. Energy, 2024, 15, 316
DOI: 10.1109/TSTE.2023.3285453

The significance of imperceptible crosstalk in high-energy batteries

Youzhi Song, Li Wang, Li Sheng, Mengyun Zhang, Hongmei Liang, Dongsheng Ren, Hao Cui, Hao Zhang, Hong Xu and Xiangming He

Energy Storage Materials, 2023, 63, 103018
DOI: 10.1016/j.ensm.2023.103018

Numerical Prediction of Lithium-Ion Battery Aging due to SEI Growth Using 3D Microstructure-Based Modeling Method

Sirivatch Shimpalee, Hunter Teel and Taylor R. Garrick

J. Electrochem. Soc., 2025, 172, 053501
DOI: 10.1149/1945-7111/add420

Comprehensive performance comparison among different types of features in data-driven battery state of health estimation

Xinhong Feng, Yongzhi Zhang, Rui Xiong and Chun Wang

Applied Energy, 2024, 369, 123555
DOI: 10.1016/j.apenergy.2024.123555

Attention Mechanism-Based Neural Network for Prediction of Battery Cycle Life in the Presence of Missing Data

Yixing Wang and Benben Jiang

Batteries, 2024, 10, 229
DOI: 10.3390/batteries10070229

Optimal Battery Energy Storage Dispatch for the Day-Ahead Electricity Market

Julio Gonzalez-Saenz and Victor Becerra

Batteries, 2024, 10, 228
DOI: 10.3390/batteries10070228

Coupled electrochemical-thermal-mechanical stress modelling in composite silicon/graphite lithium-ion battery electrodes

Mayur P. Bonkile, Yang Jiang, Niall Kirkaldy, Valentin Sulzer, Robert Timms, Huizhi Wang, Gregory Offer and Billy Wu

Journal of Energy Storage, 2023, 73, 108609
DOI: 10.1016/j.est.2023.108609

Physics-based lifetime modeling and parameter identification of lithium-ion batteries under various degradation conditions

Luis D. Couto, Odile Capron, Jan Servotte, Raf Ponnette and Grietus Mulder

Journal of Energy Storage, 2025, 127, 116739
DOI: 10.1016/j.est.2025.116739

An Electrochemical Aging-Informed Data-Driven Approach for Health Estimation of Lithium-Ion Batteries With Parameter Inconsistency

Shuxin Zhang, Zhitao Liu, Yan Xu, Guangwei Chen and Hongye Su

IEEE Trans. Power Electron., 2025, 40, 7354
DOI: 10.1109/TPEL.2025.3532588

Electrochemical modeling, Li plating onsets and performance analysis of thick graphite electrodes considering the solid electrolyte interface formed from the first cycle

Dandan Liu, Yingyuan He, Yongchong Chen, Jingyang Cao and Feng Zhu

Electrochimica Acta, 2023, 439, 141651
DOI: 10.1016/j.electacta.2022.141651

Critical Review on the Sustainability of Electric Vehicles: Addressing Challenges without Interfering in Market Trends

Sergi Obrador Rey, Lluc Canals Casals, Levon Gevorkov, Lázaro Cremades Oliver and Lluís Trilla

Electronics, 2024, 13, 860
DOI: 10.3390/electronics13050860

In-situ battery life prognostics amid mixed operation conditions using physics-driven machine learning

Yongzhi Zhang, Xinhong Feng, Mingyuan Zhao and Rui Xiong

Journal of Power Sources, 2023, 577, 233246
DOI: 10.1016/j.jpowsour.2023.233246

Is Silicon Replaceable? A Physical, Chemical, and Electrochemical Analysis of Different Commercial Lithium-Ion Battery Cells

Nicolas Stapf, Nicolas Schneider, Meichen Zhan, Christopher Mehlich, Kai Peter Birke and Alexander Fill

J. Electrochem. Soc., 2025, 172, 060513
DOI: 10.1149/1945-7111/add112

Thermal data-driven model reduction for enhanced battery health monitoring

Michael Khasin, Mohit R. Mehta, Chetan Kulkarni and John W. Lawson

Journal of Power Sources, 2024, 604, 234442
DOI: 10.1016/j.jpowsour.2024.234442

Degradation model of high-nickel positive electrodes: Effects of loss of active material and cyclable lithium on capacity fade

Mingzhao Zhuo, Gregory Offer and Monica Marinescu

Journal of Power Sources, 2023, 556, 232461
DOI: 10.1016/j.jpowsour.2022.232461

A user-friendly lithium battery simulator based on open-source CFD

Yang Jiang, Lingding Zhang, Gregory Offer and Huizhi Wang

Digital Chemical Engineering, 2022, 5, 100055
DOI: 10.1016/j.dche.2022.100055

Multiscale Modelling Methodologies of Lithium-Ion Battery Aging: A Review of Most Recent Developments

Mir Ali, Carlos Da Silva and Cristina Amon

Batteries, 2023, 9, 434
DOI: 10.3390/batteries9090434

Optimizing electric bus performance via predictive maintenance: a combined experimental and modeling approach

Hisham Ibrahim, Ahmed M. Ali and Tamer Attia

Front. Future Transp., 2025, 5
DOI: 10.3389/ffutr.2024.1506866

Challenges and opportunities toward long-life lithium-ion batteries

Xiaodong Xu, Xuebing Han, Languang Lu, Fengfei Wang, Min Yang, Xiang Liu, Yu Wu, Shengjin Tang, Yukun Hou, Junxian Hou, Chuanqiang Yu and Minggao Ouyang

Journal of Power Sources, 2024, 603, 234445
DOI: 10.1016/j.jpowsour.2024.234445

Capacity degradation prediction of lithium-ion battery based on artificial bee colony and multi-kernel support vector regression

Kui Chen, Qiang Liao, Kai Liu, Yan Yang, Guoqiang Gao and Guangning Wu

Journal of Energy Storage, 2023, 72, 108160
DOI: 10.1016/j.est.2023.108160

A Novel Solver for an Electrochemical–Thermal Ageing Model of a Lithium-Ion Battery

Toshan Wickramanayake, Mehrnaz Javadipour and Kamyar Mehran

Batteries, 2024, 10, 126
DOI: 10.3390/batteries10040126

Need of voltage and capacity profile reconstruction in incremental capacity analysis for second life batteries from repurposer perspective

Vignesh S, Hang Seng Che, Jeyraj Selvaraj and Kok Soon Tey

Journal of Energy Storage, 2024, 100, 113453
DOI: 10.1016/j.est.2024.113453

Critical Review of Optimal Control Methods for Li‐Ion Batteries in Electric Vehicles

Yeonsoo Kim

ChemElectroChem, 2024, 11
DOI: 10.1002/celc.202300497

A physics-driven generative model to accelerate artificial intelligence development for lithium-ion battery diagnostics

Joonhee Kim, Hyosik Moon, Kwanwoong Yoon, Huiyong Chun, Myeongjae Lee, Jeongsik Ko and Soohee Han

Applied Energy, 2025, 391, 125873
DOI: 10.1016/j.apenergy.2025.125873

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

Guodong Fan, Boru Zhou, Siyi Ye, Haoran Shen, Dexin Huo and Xi Zhang

Journal of Energy Storage, 2024, 102, 114086
DOI: 10.1016/j.est.2024.114086

Data-driven state of health and state of safety estimation for alternative battery chemistries — A comparative review focusing on sodium-ion and LFP lithium-ion batteries

Erik Vanem and Shuai Wang

Future Batteries, 2025, 5, 100033
DOI: 10.1016/j.fub.2025.100033

A Comprehensive Review on Lithium-Ion Battery Lifetime Prediction and Aging Mechanism Analysis

Seyed Saeed Madani, Yasmin Shabeer, François Allard, Michael Fowler, Carlos Ziebert, Zuolu Wang, Satyam Panchal, Hicham Chaoui, Saad Mekhilef, Shi Xue Dou, Khay See and Kaveh Khalilpour

Batteries, 2025, 11, 127
DOI: 10.3390/batteries11040127

Mechanistic calendar aging model for lithium-ion batteries

Alexander Karger, Julius Schmitt, Cedric Kirst, Jan P. Singer, Leo Wildfeuer and Andreas Jossen

Journal of Power Sources, 2023, 578, 233208
DOI: 10.1016/j.jpowsour.2023.233208

Massively Distributed Bayesian Analysis of Electric Aircraft Battery Degradation

Alexander Bills, Leif Fredericks, Valentin Sulzer and Venkatasubramanian Viswanathan

ACS Energy Lett., 2023, 8, 3578
DOI: 10.1021/acsenergylett.3c01216

Decouple charge transfer reactions in the Li-ion battery

Yuxuan Bai, Qiu-An Huang, Kai Wu and Jiujun Zhang

Journal of Energy Chemistry, 2024, 92, 759
DOI: 10.1016/j.jechem.2024.02.003

A Thermo-electrochemical Model for Capacity Fading of Spinel Manganese Oxide Cathode-based Li-ion Half Cell

Swati Sahu, Venkata Sudheendra Buddhiraju and Venkataramana Runkana

J. Electrochem. Soc., 2025, 172, 020517
DOI: 10.1149/1945-7111/adb0f6

Modelling of solid electrolyte interphase growth using neural ordinary differential equations

S. Ramasubramanian, F. Schomburg and F. Röder

Electrochimica Acta, 2024, 473, 143479
DOI: 10.1016/j.electacta.2023.143479

Promoting high-temperature and fast-charging performance of LiFePO4/Graphite batteries by a “rigid-flexible” interfacial strategy

Lixuan Pan, Wenxuan Hu, Jiongyan Liu, Jianrong Lin, Jian Yang, Yimin Wei, Zhengliang Gong and Yong Yang

Journal of Power Sources, 2025, 657, 238141
DOI: 10.1016/j.jpowsour.2025.238141

Challenges and opportunities for second-life batteries: Key technologies and economy

Xubo Gu, Hanyu Bai, Xiaofan Cui, Juner Zhu, Weichao Zhuang, Zhaojian Li, Xiaosong Hu and Ziyou Song

Renewable and Sustainable Energy Reviews, 2024, 192, 114191
DOI: 10.1016/j.rser.2023.114191

Nonlinear Potentiodynamic Battery Charging Protocols for Fun, Education, and Application

Helge Sören Stein

ACS Eng. Au, 2024, 4, 345
DOI: 10.1021/acsengineeringau.3c00047

Modeling Particle Versus SEI Cracking in Lithium-Ion Battery Degradation: Why Calendar and Cycle Aging Cannot Simply be Added

Alexander Karger, Simon E. J. O’Kane, Marcel Rogge, Cedric Kirst, Jan P. Singer, Monica Marinescu, Gregory J. Offer and Andreas Jossen

J. Electrochem. Soc., 2024, 171, 090512
DOI: 10.1149/1945-7111/ad76da

Forecasting battery capacity for second-life applications using physics-informed recurrent neural networks

Sina Navidi, Kristupas Bajarunas, Manuel Arias Chao and Chao Hu

eTransportation, 2025, 25, 100432
DOI: 10.1016/j.etran.2025.100432

Enhanced remaining useful life prediction of lithium-ion batteries using genetic algorithm-optimized backpropagation neural networks

Xiang Li, Haozhe Du, Tian Wang, Jing Bi, Haiyan Zhang, Shu Zhao and Haijun Yu

Journal of Power Sources, 2025, 652, 237619
DOI: 10.1016/j.jpowsour.2025.237619

Suitability of late-life lithium-ion cells for battery energy storage systems

Nils Collath, Henry Winner, Alexander Frank, Axel Durdel and Andreas Jossen

Journal of Energy Storage, 2024, 87, 111508
DOI: 10.1016/j.est.2024.111508

Resource‐Efficient Electrodes with Metallized Woven‐Glass‐Grid Current Collectors for Lithium‐Ion Batteries

Yen‐Ming Li, Mohammadjafar Momeni, Huy Nguyen Dang Duc, Suvi von Bahder, Friedrich Roth, Wolfram Münchgesang, Manfred Danziger, Winfried Voitus, Dominik Nuss, Cornelia Sennewald and Tilmann Leisegang

ChemSusChem, 2025, 18
DOI: 10.1002/cssc.202402233

Transfer learning for battery smarter state estimation and ageing prognostics: Recent progress, challenges, and prospects

Kailong Liu, Qiao Peng, Yunhong Che, Yusheng Zheng, Kang Li, Remus Teodorescu, Dhammika Widanage and Anup Barai

Advances in Applied Energy, 2023, 9, 100117
DOI: 10.1016/j.adapen.2022.100117

Combining a Data Driven and Mechanistic Model to Predict Capacity and Potential Curve‐Degradation

Jochen Stadler, Johannes Fath, Madeleine Ecker and Arnulf Latz

Batteries & Supercaps, 2024, 7
DOI: 10.1002/batt.202400211

Joint electric vehicle routing and battery health management integrating an explicit state of charge model

Pedro Dias Longhitano, Christophe Bérenguer and Benjamin Echard

Computers & Industrial Engineering, 2024, 188, 109892
DOI: 10.1016/j.cie.2024.109892

Consistently Tuned Battery Lifetime Predictive Model of Capacity Loss, Resistance Increase, and Irreversible Thickness Growth

Sravan Pannala, Hamidreza Movahedi, Taylor R. Garrick, Anna G. Stefanopoulou and Jason B. Siegel

J. Electrochem. Soc., 2024, 171, 010532
DOI: 10.1149/1945-7111/ad1294

A critical look at efficient parameter estimation methodologies of electrochemical models for Lithium-Ion cells

C. Rojas, L. Oca, I. Lopetegi, U. Iraola and J. Carrasco

Journal of Energy Storage, 2024, 80, 110384
DOI: 10.1016/j.est.2023.110384

Electrochemical impedance spectroscopy beyond linearity and stationarity—A critical review

Noël Hallemans, David Howey, Alberto Battistel, Nessa Fereshteh Saniee, Federico Scarpioni, Benny Wouters, Fabio La Mantia, Annick Hubin, Widanalage Dhammika Widanage and John Lataire

Electrochimica Acta, 2023, 466, 142939
DOI: 10.1016/j.electacta.2023.142939

Identification and quantification of degradation modes in lithium-ion battery cells under dynamic load conditions using equivalent circuit and physics-based models

Ali Yousaf Kharal, Muhammad Khalid, Ijaz Haider Naqvi and Naveed Arshad

Journal of Power Sources, 2025, 632, 236274
DOI: 10.1016/j.jpowsour.2025.236274

sP2D: Simplified pseudo 2D battery model by piecewise sinusoidal/quadratic functions of potential curves

Weilong Ai and Yuan Liu

Journal of Energy Storage, 2024, 86, 111386
DOI: 10.1016/j.est.2024.111386

Graded Lithium-Ion Battery Pouch Cells to Homogenise Current Distributions and Reduce Lithium Plating

R. Drummond, E. C. Tredenick, T. L. Kirk, M. Forghani, P. S. Grant and S. R. Duncan

J. Electrochem. Soc., 2025, 172, 010518
DOI: 10.1149/1945-7111/ada751

Data-driven approach to learning optimal forms of constitutive relations in models describing Lithium plating in battery cells

Avesta Ahmadi, Kevin J. Sanders, Gillian R. Goward and Bartosz Protas

Computers & Chemical Engineering, 2025, 109252
DOI: 10.1016/j.compchemeng.2025.109252

Battery aging mode identification across NMC compositions and designs using machine learning

Bor-Rong Chen, Cody M. Walker, Sangwook Kim, M. Ross Kunz, Tanvir R. Tanim and Eric J. Dufek

Joule, 2022, 6, 2776
DOI: 10.1016/j.joule.2022.10.016

Evaluation and optimization for integrated photo-voltaic and battery energy storage systems under time-of-use pricing in the industrial park

Yangshu Lin, Yuhao Shao, Chao Yang, Wenxuan Guo, Weijie Liu, Chenghang Zheng and Xiang Gao

Journal of Energy Storage, 2024, 100, 113614
DOI: 10.1016/j.est.2024.113614

Battery passports for promoting electric vehicle resale and repurposing

Andrew Weng, Eric Dufek and Anna Stefanopoulou

Joule, 2023, 7, 837
DOI: 10.1016/j.joule.2023.04.002

Application of Electrochemical Impedance Spectroscopy to Degradation and Aging Research of Lithium-Ion Batteries

Wenxuan Hu, Yufan Peng, Yimin Wei and Yong Yang

J. Phys. Chem. C, 2023, 127, 4465
DOI: 10.1021/acs.jpcc.3c00033

The sensitive detection of the early-stage internal short circuit triggered by lithium plating through the simplified electrochemical model at various working conditions

Liubin Hou, Ao Dong, Ruifei Ma, Hejie Lin and Yelin Deng

Energy, 2024, 304, 132141
DOI: 10.1016/j.energy.2024.132141

Elucidating effects of form factors on thermal and aging behavior of cylindrical lithium-ion batteries

Subham Khange and Ashwini Kumar Sharma

International Journal of Thermal Sciences, 2025, 210, 109564
DOI: 10.1016/j.ijthermalsci.2024.109564

Itinerary-Dependent Degradation Analysis of a Lithium-Ion Battery Cell for E-Bike Applications in Rwanda

Aimable Ngendahayo, Adrià Junyent-Ferré, Joan Marc Rodriguez Bernuz and Etienne Ntagwirumugara

ENERGY, 2024, 121, 3121
DOI: 10.32604/ee.2024.053100

Mechanistic cycle aging model for the open-circuit voltage curve of lithium-ion batteries

Alexander Karger, Julius Schmitt, Cedric Kirst, Jan P. Singer, Leo Wildfeuer and Andreas Jossen

Journal of Power Sources, 2024, 593, 233947
DOI: 10.1016/j.jpowsour.2023.233947

Treatment and recycling of spent lithium-based batteries: a review

Sameer Al-Asheh, Ahmad Aidan, Teeba Allawi, Fatma Hammoud, Humaid Al Ali and Maha Al Khamiri

J Mater Cycles Waste Manag, 2024, 26, 76
DOI: 10.1007/s10163-023-01842-1

Predict the lifetime of lithium-ion batteries using early cycles: A review

Minxing Yang, Xiaofei Sun, Rui Liu, Lingzhi Wang, Fei Zhao and Xuesong Mei

Applied Energy, 2024, 376, 124171
DOI: 10.1016/j.apenergy.2024.124171

Battery intelligent temperature warning model with physically-informed attention residual networks

Xue Ke, Lei Wang, Jun Wang, Anyang Wang, Ruilin Wang, Peng Liu, Li Li, Rong Han, Yiheng Yin, Feng Ryan Wang, Chunguang Kuai and Yuzheng Guo

Applied Energy, 2025, 388, 125627
DOI: 10.1016/j.apenergy.2025.125627

Data-driven battery health prognosis with partial-discharge information

Chunyang Zhao, Peter Bach Andersen, Chresten Træholt and Seyedmostafa Hashemi

Journal of Energy Storage, 2023, 65, 107151
DOI: 10.1016/j.est.2023.107151

Numerical Analysis of Degradation and Capacity Loss in Graphite Active Particles of Li-Ion Battery Anodes

Jorge Marin-Montin, Mauricio Zurita-Gotor and Francisco Montero-Chacón

Materials, 2022, 15, 3979
DOI: 10.3390/ma15113979

Non-destructive detection techniques for lithium-ion batteries based on magnetic field characteristics-A model-based study

Huaian Zhao, Ziyuan Zhan, Binghan Cui, Yaxuan Wang, Geping Yin, Guokang Han, Lizhi Xiang and Chunyu Du

Journal of Power Sources, 2024, 604, 234511
DOI: 10.1016/j.jpowsour.2024.234511

Shelf life of lithium-ion batteries: Recommissioning LiFePO4/C cells after ten years of uninterrupted calendar aging

Veronika Vachenauer, Alexander Karger, Maik Naumann, Axel Durdel and Andreas Jossen

Journal of Power Sources, 2025, 654, 237779
DOI: 10.1016/j.jpowsour.2025.237779

Estimating battery state of health with 10-min relaxation voltage across various charging states of charge

Xinhong Feng, Yongzhi Zhang, Rui Xiong and Aihua Tang

iEnergy, 2023, 2, 308
DOI: 10.23919/IEN.2023.0034

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

Vignesh S, Hang Seng Che, Jeyraj Selvaraj, Kok Soon Tey, Jia Woon Lee, Hussain Shareef and Rachid Errouissi

Applied Energy, 2024, 369, 123542
DOI: 10.1016/j.apenergy.2024.123542

A Comparison of Standard SEI Growth Models in the Context of Battery Formation

Kawa Manmi, Marcus Tuchel, Emma Kendrick and Ferran Brosa Planella

J. Electrochem. Soc., 2024, 171, 100530
DOI: 10.1149/1945-7111/ad8548

Assessing battery degradation as a key performance indicator for multi-objective optimization of multi-carrier energy systems

Lingkang Jin, Milad Kazemi, Gabriele Comodi and Christina Papadimitriou

Applied Energy, 2024, 361, 122925
DOI: 10.1016/j.apenergy.2024.122925

PINN surrogate of Li-ion battery models for parameter inference, Part I: Implementation and multi-fidelity hierarchies for the single-particle model

Malik Hassanaly, Peter J. Weddle, Ryan N. King, Subhayan De, Alireza Doostan, Corey R. Randall, Eric J. Dufek, Andrew M. Colclasure and Kandler Smith

Journal of Energy Storage, 2024, 98, 113103
DOI: 10.1016/j.est.2024.113103

Short‐Term Tests, Long‐Term Predictions – Accelerating Ageing Characterisation of Lithium‐Ion Batteries

Sabine Paarmann, Markus Schreiber, Ahmed Chahbaz, Felix Hildenbrand, Gereon Stahl, Marcel Rogge, Philipp Dechent, Oliver Queisser, Sebastian Dominic Frankl, Pablo Morales Torricos, Yao Lu, Nikolay I. Nikolov, Maria Kateri, Dirk Uwe Sauer, Michael A. Danzer, Thomas Wetzel, Christian Endisch, Markus Lienkamp, Andreas Jossen and Meinert Lewerenz

Batteries & Supercaps, 2024, 7
DOI: 10.1002/batt.202300594

EV Battery Degradation Assessment Under Standard Drive Cycles Using Simulated EIS

Akila E. Jayasinghe, Nuwantha Fernando, Sisil Kumarawadu, Liuping Wang and J. P. Karunadasa

Vehicles, 2025, 7, 21
DOI: 10.3390/vehicles7010021

A Comprehensive Review of the Pseudo‐Two‐Dimensional (P2D) Model: Model Development, Solutions Methods, and Applications

Arif Hussain, Zhiyu Mao, Mei Li, Moin Ahmed, Wenting Xu, Jing Zhang and Zhongwei Chen

Advcd Theory and Sims, 2025, 8
DOI: 10.1002/adts.202401016

Improving in-situ life prediction and classification performance by capturing both the present state and evolution rate of battery aging

Mingyuan Zhao, Yongzhi Zhang and Sidun Fang

Journal of Energy Storage, 2024, 83, 110768
DOI: 10.1016/j.est.2024.110768

Selecting the appropriate features in battery lifetime predictions

Alexis Geslin, Bruis van Vlijmen, Xiao Cui, Arjun Bhargava, Patrick A. Asinger, Richard D. Braatz and William C. Chueh

Joule, 2023, 7, 1956
DOI: 10.1016/j.joule.2023.07.021

Machine learning-based lifelong estimation of lithium plating potential: A path to health-aware fastest battery charging

Yizhou Zhang, Torsten Wik, John Bergström and Changfu Zou

Energy Storage Materials, 2025, 74, 103877
DOI: 10.1016/j.ensm.2024.103877

Synthetic dataset of LG M50 batteries with different degradation pathways

Huang Zhang, Faisal Altaf and Torsten Wik

Data in Brief, 2024, 57, 111076
DOI: 10.1016/j.dib.2024.111076

Optimized Strategy for Energy Management in an EV Fast Charging Microgrid Considering Storage Degradation

Joelson Lopes da Paixão, Alzenira da Rosa Abaide, Gabriel Henrique Danielsson, Jordan Passinato Sausen, Leonardo Nogueira Fontoura da Silva and Nelson Knak Neto

Energies, 2025, 18, 1060
DOI: 10.3390/en18051060

Lithium loss, resistance growth, electrode expansion, gas evolution, and Li plating: Analyzing performance and failure of commercial large-format NMC-Gr lithium-ion pouch cells

Paul Gasper, Nathaniel Sunderlin, Nathan Dunlap, Patrick Walker, Donal P. Finegan, Kandler Smith and Foram Thakkar

Journal of Power Sources, 2024, 604, 234494
DOI: 10.1016/j.jpowsour.2024.234494

Lithium-ion battery degradation modelling using universal differential equations: Development of a cost-effective parameterisation methodology

Jishnu Ayyangatu Kuzhiyil, Theodoros Damoulas, Ferran Brosa Planella and W. Dhammika Widanage

Applied Energy, 2025, 382, 125221
DOI: 10.1016/j.apenergy.2024.125221

DegradAI: A scalable framework for early battery health diagnosis from limited data

Meghana Sudarshan, Jaya Vikeswara Rao Vajja and Vikas Tomar

npj Clean Energy, 2025, 1
DOI: 10.1038/s44406-025-00008-2

Evaluation of Advances in Battery Health Prediction for Electric Vehicles from Traditional Linear Filters to Latest Machine Learning Approaches

Adrienn Dineva

Batteries, 2024, 10, 356
DOI: 10.3390/batteries10100356

Determining Fast Battery Charging Profiles Using an Equivalent Circuit Model and a Direct Optimal Control Approach

Julio Gonzalez-Saenz and Victor Becerra

Energies, 2024, 17, 1470
DOI: 10.3390/en17061470

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

S. Vignesh, Hang Seng Che, Jeyraj Selvaraj and Kok Soon Tey

Journal of Energy Storage, 2024, 89, 111656
DOI: 10.1016/j.est.2024.111656

Physics-Informed Markov Chain Model to Identify Degradation Pathways of Lithium-Ion Cells

Jun-Hyeong Kim, Eunji Kwak, Jinho Jeong and Ki-Yong Oh

IEEE Trans. Transp. Electrific., 2024, 10, 3468
DOI: 10.1109/TTE.2023.3302433

A digital twin for advancing battery fast charging based on a Bayesian optimization-based method

Guoqing Luo, Dou Han, Yongzhi Zhang and Haijun Ruan

Journal of Energy Storage, 2024, 93, 112365
DOI: 10.1016/j.est.2024.112365

Degradation study for 18650 NMC batteries at low temperature

E. Teliz, C. López-Vázquez and V. Díaz

Electrochimica Acta, 2024, 475, 143540
DOI: 10.1016/j.electacta.2023.143540