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Electrochemical Modeling and Degradation Analysis of Lithium‐Ion Batteries in High Temperature Environments

Fei Chen, Fan Yang, Haoran Chu, Jiatong Xu, Kaiyi Yang, Justice Akoto, Ali Haider, Xingrui Wang, Jie Yang, Xinhua Liu, Zhiming Feng Orcid Logo, Rui Tan Orcid Logo

Battery Energy, Start page: e70050

Swansea University Authors: Justice Akoto, Rui Tan Orcid Logo

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DOI (Published version): 10.1002/bte2.20250043

Abstract

Simulation models are of great importance in understanding the complexities of the internal electrochemical processes within batteries, aiding in design optimization and advancing energy storage technologies. One of the central challenges lies in predicting battery lifespan and elucidating side reac...

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Published in: Battery Energy
ISSN: 2768-1688 2768-1696
Published: Wiley 2025
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URI: https://cronfa.swan.ac.uk/Record/cronfa70733
first_indexed 2025-10-20T12:17:56Z
last_indexed 2025-11-22T05:31:54Z
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spelling 2025-11-21T15:22:04.1299008 v2 70733 2025-10-20 Electrochemical Modeling and Degradation Analysis of Lithium‐Ion Batteries in High Temperature Environments 34674f4c0a15ff4a0c7797c5bfbb8448 Justice Akoto Justice Akoto true false 774c33a0a76a9152ca86a156b5ae26ff 0009-0001-9278-7327 Rui Tan Rui Tan true false 2025-10-20 Simulation models are of great importance in understanding the complexities of the internal electrochemical processes within batteries, aiding in design optimization and advancing energy storage technologies. One of the central challenges lies in predicting battery lifespan and elucidating side reactions under extreme operating conditions. This study aims to design an electrochemical model that considers multiple side reactions to predict the cycle life of lithium‐ion batteries in high temperature environments. First, a basic simulation framework is established using a simplified electrochemical‐mechanical coupling model. Subsequently, multiscale characterization of aged batteries is performed to identify five types of side reactions, encompassing phenomena such as solid electrolyte interphase (SEI) growth, cracking of negative electrode particles, electrolyte oxidation and decomposition/deposition of active materials. A comprehensive battery life prediction model is constructed by modeling these side reactions. Finally, the accuracy of the life prediction is validated using high temperature cycling data. The conclusions reveal that electrolyte decomposition and the loss of active material are the primary causes of battery degradation under high temperature conditions. Journal Article Battery Energy 0 e70050 Wiley 2768-1688 2768-1696 aging mechanisms, electrochemical-mechanical coupling, life prediction, lithium-ion battery, solid electrolyte interphase growth 17 10 2025 2025-10-17 10.1002/bte2.20250043 COLLEGE NANME COLLEGE CODE Swansea University Another institution paid the OA fee This study was supported by National Natural Science Foundation of China (No. 52102470) (No. 52302486) and National Key Research and Development Program of China (No. 2021YFB2501300). 2025-11-21T15:22:04.1299008 2025-10-20T13:12:39.6698483 Faculty of Science and Engineering School of Engineering and Applied Sciences - Chemical Engineering Fei Chen 1 Fan Yang 2 Haoran Chu 3 Jiatong Xu 4 Kaiyi Yang 5 Justice Akoto 6 Ali Haider 7 Xingrui Wang 8 Jie Yang 9 Xinhua Liu 10 Zhiming Feng 0000-0002-5882-9626 11 Rui Tan 0009-0001-9278-7327 12 70733__35401__284264b7c5634eab80f03128148503ad.pdf bte2.20250043.pdf 2025-10-20T13:12:39.6509852 Output 2174116 application/pdf Version of Record true © 2025 The Author(s). This is an open access article under the terms of the Creative Commons Attribution License (CC BY). true eng http://creativecommons.org/licenses/by/4.0/
title Electrochemical Modeling and Degradation Analysis of Lithium‐Ion Batteries in High Temperature Environments
spellingShingle Electrochemical Modeling and Degradation Analysis of Lithium‐Ion Batteries in High Temperature Environments
Justice Akoto
Rui Tan
title_short Electrochemical Modeling and Degradation Analysis of Lithium‐Ion Batteries in High Temperature Environments
title_full Electrochemical Modeling and Degradation Analysis of Lithium‐Ion Batteries in High Temperature Environments
title_fullStr Electrochemical Modeling and Degradation Analysis of Lithium‐Ion Batteries in High Temperature Environments
title_full_unstemmed Electrochemical Modeling and Degradation Analysis of Lithium‐Ion Batteries in High Temperature Environments
title_sort Electrochemical Modeling and Degradation Analysis of Lithium‐Ion Batteries in High Temperature Environments
author_id_str_mv 34674f4c0a15ff4a0c7797c5bfbb8448
774c33a0a76a9152ca86a156b5ae26ff
author_id_fullname_str_mv 34674f4c0a15ff4a0c7797c5bfbb8448_***_Justice Akoto
774c33a0a76a9152ca86a156b5ae26ff_***_Rui Tan
author Justice Akoto
Rui Tan
author2 Fei Chen
Fan Yang
Haoran Chu
Jiatong Xu
Kaiyi Yang
Justice Akoto
Ali Haider
Xingrui Wang
Jie Yang
Xinhua Liu
Zhiming Feng
Rui Tan
format Journal article
container_title Battery Energy
container_volume 0
container_start_page e70050
publishDate 2025
institution Swansea University
issn 2768-1688
2768-1696
doi_str_mv 10.1002/bte2.20250043
publisher Wiley
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Chemical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Chemical Engineering
document_store_str 1
active_str 0
description Simulation models are of great importance in understanding the complexities of the internal electrochemical processes within batteries, aiding in design optimization and advancing energy storage technologies. One of the central challenges lies in predicting battery lifespan and elucidating side reactions under extreme operating conditions. This study aims to design an electrochemical model that considers multiple side reactions to predict the cycle life of lithium‐ion batteries in high temperature environments. First, a basic simulation framework is established using a simplified electrochemical‐mechanical coupling model. Subsequently, multiscale characterization of aged batteries is performed to identify five types of side reactions, encompassing phenomena such as solid electrolyte interphase (SEI) growth, cracking of negative electrode particles, electrolyte oxidation and decomposition/deposition of active materials. A comprehensive battery life prediction model is constructed by modeling these side reactions. Finally, the accuracy of the life prediction is validated using high temperature cycling data. The conclusions reveal that electrolyte decomposition and the loss of active material are the primary causes of battery degradation under high temperature conditions.
published_date 2025-10-17T18:10:36Z
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