中国机械工程学报2024，Vol.37Issue(4) ：1-22.DOI:10.1186/s10033-024-01055-z

Review on Lithium-ion Battery PHM from the Perspective of Key PHM Steps

Jinzhen Kong Jie Liu Jingzhe Zhu Xi Zhang Kwok-Leung Tsui Zhike Peng Dong Wang
中国机械工程学报2024，Vol.37Issue(4) ：1-22.DOI:10.1186/s10033-024-01055-z
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  • 维普
  • 万方数据

Review on Lithium-ion Battery PHM from the Perspective of Key PHM Steps

Jinzhen Kong 1Jie Liu 2Jingzhe Zhu 2Xi Zhang 2Kwok-Leung Tsui 3Zhike Peng 4Dong Wang2
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作者信息

  • 1. School of Mechanical Engineering,Hebei University of Technology,Tianjin 300401,China
  • 2. School of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China
  • 3. Grado Department of Industrial and Systems Engineering,Virginia Polytechnic Institute and State University,Blacksburg 24061,USA
  • 4. School of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China;School of Mechanical Engineering,Ningxia University,Ningxia 750021,China
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Abstract

Prognostics and health management(PHM)has gotten considerable attention in the background of Industry 4.0.Battery PHM contributes to the reliable and safe operation of electric devices.Nevertheless,relevant reviews are still continuously updated over time.In this paper,we browsed extensive literature related to battery PHM from 2018 to 2023 and summarized advances in battery PHM field,including battery testing and public datasets,fault diagnosis and prediction methods,health status estimation and health management methods.The last topic includes state of health estimation methods,remaining useful life prediction methods and predictive maintenance methods.Each of these categories is introduced and discussed in details.Based on this survey,we accordingly discuss challenges left to battery PHM,and provide future research opportunities.This research systematically reviews recent research about battery PHM from the perspective of key PHM steps and provide some valuable prospects for researchers and practitioners.

Key words

Lithium-ion batteries/Prognostics and health management/Remaining useful life/State of health/Predictive maintenance

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基金项目

Tianjin Municipal Education Commission of China(2023KJ303)

National Natural Science Foundation of China(12121002)

National Natural Science Foundation of China(51975355)

出版年

2024
中国机械工程学报
中国机械工程学会

中国机械工程学报

CSTPCD
影响因子：0.765
ISSN：1000-9345
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