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Online battery model parameters identification approach based on bias-compensated forgetting factor recursive least squares

Dong Zhen Jiahao Liu Shuqin Ma Jingyu Zhu Jinzhen Kong Yizhao Gao Guojin Feng Fengshou Gu

新能源与智能载运（英文）2025，Vol.3Issue(3)：51-61,11.

新能源与智能载运（英文）2025，Vol.3Issue(3)：51-61,11.DOI:10.1016/j.geits.2024.100207

Online battery model parameters identification approach based on bias-compensated forgetting factor recursive least squares

Dong Zhen ¹Jiahao Liu ²Shuqin Ma ¹Jingyu Zhu ¹Jinzhen Kong ³Yizhao Gao ¹Guojin Feng ²Fengshou Gu⁴

作者信息

1. School of Mechanical Engineering,Hebei University of Technology,Tianjin,300401,China
2. Advanced Equipment Research Institute Co.,Ltd.of HEBUT,Tianjin,300401,China
3. College of Information Science and Engineering,Hohai University,Nanjing,210098,China
4. School of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai,200240,China
折叠

摘要

关键词

Lithium-ion battery/Battery model/Recursive least squares/Parameter identification

Key words

Lithium-ion battery/Battery model/Recursive least squares/Parameter identification

引用本文复制引用

Dong Zhen,Jiahao Liu,Shuqin Ma,Jingyu Zhu,Jinzhen Kong,Yizhao Gao,Guojin Feng,Fengshou Gu..Online battery model parameters identification approach based on bias-compensated forgetting factor recursive least squares[J].新能源与智能载运（英文）,2025,3(3):51-61,11.

基金项目

This work was supported by the Scientific Research Project of Tianjin Education Commission(Grant No:2023KJ303),Hebei Provincial Department of Education(Grant No:C20220315),Tianjin Natural Sci-ence Foundation(Grant No:21JCZDJC00720),Hebei Natural Science Foundation(Grant No:E2022202047). （Grant No:2023KJ303）

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