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Digital twin modeling method for lithium-ion batteries based on data-mechanism fusion driving

Chao Lyu Shaochun Xu Junfu Li Michael Pecht

新能源与智能载运（英文）2025，Vol.2025Issue(4)：15-32,18.

新能源与智能载运（英文）2025，Vol.2025Issue(4)：15-32,18.DOI:10.1016/j.geits.2024.100162

Digital twin modeling method for lithium-ion batteries based on data-mechanism fusion driving

Chao Lyu ¹Shaochun Xu ¹Junfu Li ²Michael Pecht³

作者信息

1. School of Electrical Engineering and Automation,Harbin Institute of Technology,Harbin 150001,Heilongjiang,China
2. School of Automotive Engineering,Harbin Institute of Technology,Weihai 264209,Shandong,China
3. Center for Advanced Life Cycle Engineering(CALCE),University of Maryland,College Park,MD 20742,USA
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摘要

关键词

Lithium-ion battery/Multi-particle size electrochemical-thermal-mechanical coupling model/Online model parameter updating algorithm/Digital twin

Key words

Lithium-ion battery/Multi-particle size electrochemical-thermal-mechanical coupling model/Online model parameter updating algorithm/Digital twin

引用本文复制引用

Chao Lyu,Shaochun Xu,Junfu Li,Michael Pecht..Digital twin modeling method for lithium-ion batteries based on data-mechanism fusion driving[J].新能源与智能载运（英文）,2025,2025(4):15-32,18.

基金项目

We thank the financial support by Shandong Province National Na-tural Science Foundation of China(No.ZR2023QE036).The Center for Advanced Life Cycle Engineering(CALCE)at the University of Maryland,funded by over 150 of the world's leading companies,focuses on the development of state-of-the-art BMSs for single and multi-cell systems to provide accurate SOC and SOH metrics.Those who are interested in obtaining test data,please see the website:http://www.calce.umd.edu/b atteries/index.html. （No.ZR2023QE036）

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