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Co-estimation of state-of-charge and state-of-temperature for large-format lithium-ion batteries based on a novel electrothermal model

Chao Yu Jiangong Zhu Wenxue Liu Haifeng Dai Xuezhe Wei

新能源与智能载运(英文)2025,Vol.3Issue(3):23-38,16.
新能源与智能载运(英文)2025,Vol.3Issue(3):23-38,16.DOI:10.1016/j.geits.2024.100152

Co-estimation of state-of-charge and state-of-temperature for large-format lithium-ion batteries based on a novel electrothermal model

Co-estimation of state-of-charge and state-of-temperature for large-format lithium-ion batteries based on a novel electrothermal model

Chao Yu 1Jiangong Zhu 2Wenxue Liu 1Haifeng Dai 2Xuezhe Wei3

作者信息

  • 1. School of Automotive Studies,Tongji University,Shanghai,201804,China
  • 2. Clean Energy Automotive Engineering Center,Tongji University,Shanghai,201804,China
  • 3. College of Mechanical and Vehicle Engineering,Chongqing University,Chongqing,400044,China
  • 折叠

摘要

关键词

Large-format Li-ion battery/Electrothermal model/SOT estimation/SOC estimation/Adaptive algorithm

Key words

Large-format Li-ion battery/Electrothermal model/SOT estimation/SOC estimation/Adaptive algorithm

引用本文复制引用

Chao Yu,Jiangong Zhu,Wenxue Liu,Haifeng Dai,Xuezhe Wei..Co-estimation of state-of-charge and state-of-temperature for large-format lithium-ion batteries based on a novel electrothermal model[J].新能源与智能载运(英文),2025,3(3):23-38,16.

基金项目

This research was funded by the National Natural Science Foundation of China(NSFC,Grant No.52107230),the Fundamental Research Funds for the Central Universities and the Major State Basic Research Deve-lopment Program of China(973 Program,Grant No.2022YFB2502304,Grant No.2022YFB2502302). (NSFC,Grant No.52107230)

新能源与智能载运(英文)

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