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Capacity Degradation Modeling and Lifetime Prediction of Lithium Battery in high temperature environments

  • Beihang University
  • Imperial College London

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Battery simulation models play a pivotal role in comprehending the intricacies of internal electrochemical reactions within batteries, thereby ensuring electric vehicle power systems' safe and efficient functioning. Among the numerous concerns, the prediction of battery lifespan and the comprehension of side reactions under extreme conditions are of paramount importance. This study aims to design an electrochemical model that considers multiple side reactions to predict the lifespan of lithium-ion batteries in high temperature environments. First, a basic simulation framework is established using an electrochemical-mechanical coupling model. Subsequently, through the disassembly experiment of aged batteries, five distinct types of secondary reactions are delineated, encompassing phenomena such as the cracking of negative electrode particle, the growth of solid electrolyte interphase (SEI), the oxidation of electrolyte and the decomposition/deposition of active materials. Building upon these elucidated aging mechanisms, a comprehensive battery lifespan prediction model is constructed by integrating multiple aging factors. 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.

源语言英语
主期刊名Proceedings - 2024 IEEE 22nd International Conference on Industrial Informatics, INDIN 2024
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9798331527471
DOI
出版状态已出版 - 2024
活动22nd IEEE International Conference on Industrial Informatics, INDIN 2024 - Beijing, 中国
期限: 18 8月 202420 8月 2024

出版系列

姓名IEEE International Conference on Industrial Informatics (INDIN)
ISSN(印刷版)1935-4576

会议

会议22nd IEEE International Conference on Industrial Informatics, INDIN 2024
国家/地区中国
Beijing
时期18/08/2420/08/24

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 7 - 经济适用的清洁能源
    可持续发展目标 7 经济适用的清洁能源

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