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Intelligent lithium plating detection and prediction method for Li-ion batteries based on random forest model

Guangying Zhu Jianguo Chen Xuyang Liu Tao Sun Xin Lai Yuejiu Zheng Yue Guo Rohit Bhagat

新能源与智能载运（英文）2025，Vol.2025Issue(6)：29-37,9.

新能源与智能载运（英文）2025，Vol.2025Issue(6)：29-37,9.DOI:10.1016/j.geits.2024.100167

Intelligent lithium plating detection and prediction method for Li-ion batteries based on random forest model

Guangying Zhu ¹Jianguo Chen ¹Xuyang Liu ¹Tao Sun ¹Xin Lai ¹Yuejiu Zheng ¹Yue Guo ²Rohit Bhagat³

作者信息

1. School of Mechanical Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China
2. State Key Laboratory of Automotive Safety and Energy,Tsinghua University,Beijing 100084,China
3. Centre for E-Mobility and Clean Growth Research,Coventry University,Coventry,CV1 5FB,United Kingdom
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摘要

关键词

Lithium-ion battery/Lithium plating detection/Feature extraction/Random forest algorithm

Key words

Lithium-ion battery/Lithium plating detection/Feature extraction/Random forest algorithm

引用本文复制引用

Guangying Zhu,Jianguo Chen,Xuyang Liu,Tao Sun,Xin Lai,Yuejiu Zheng,Yue Guo,Rohit Bhagat..Intelligent lithium plating detection and prediction method for Li-ion batteries based on random forest model[J].新能源与智能载运（英文）,2025,2025(6):29-37,9.

基金项目

This research is supported by National Natural Science Foundation of China(NSFC)under the Grant number of 52477216 and Natural Science Foundation of Shanghai under the Grant number of 23ZR1444600,in part by the National Natural Science Foundation of China(NSFC)under the Grant number of 52277222. （NSFC）

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