A review on influencing factors, estimation methods, and improvement strategies for state of health in lithium-ion batteries

With the widespread application of lithium-ion batteries in electric vehicles, renewable energy storage, and portable electronic devices, State of Health (SOH) has become a critical metric for evaluating battery performance, lifespan, and safety. Over time, lithium-ion batteries inevitably experienc...

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Veröffentlicht in:Journal of energy storage Jg. 139; S. 118577
Hauptverfasser: Wang, Bo, Wang, Xiaojuan, Hu, Bing, Xu, Lijun, Xiao, Yousufu
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 15.12.2025
Schlagworte:
Battery capacity
Battery lifespan
Battery safety
Battery SOH
SOH assessment
SOH assessment
Battery capacity
Battery SOH
Battery safety
Battery lifespan
ISSN:2352-152X
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Abstract With the widespread application of lithium-ion batteries in electric vehicles, renewable energy storage, and portable electronic devices, State of Health (SOH) has become a critical metric for evaluating battery performance, lifespan, and safety. Over time, lithium-ion batteries inevitably experience capacity degradation and increased internal resistance, affecting their charging and discharging efficiency and safety. These issues directly impact the reliability and economic benefits of battery systems. By analyzing the factors influencing battery SOH, this paper explores the risks associated with SOH deterioration and comprehensively reviews current mainstream methods for assessing battery SOH. Special emphasis is placed on the necessity of multi-algorithm integration to enhance the accuracy of predicting battery health status. Additionally, measures to improve battery SOH are summarized. Drawing on existing literature, this paper also outlines the challenges and future directions for battery SOH prediction. Through a thorough review of lithium-ion battery SOH, this paper aims to assist researchers in gaining a deeper understanding of SOH deterioration causes and improvement strategies, thereby promoting the refinement of SOH assessment methods and the optimization of Battery Management Systems (BMS), providing valuable references for battery life prediction and maintenance. •Analyzed various influencing factors affecting the evolution of lithium-ion battery State of Health (SOH).•Elucidated the significance and benefits of a hybrid SOH assessment framework.•Investigated strategies to mitigate SOH degradation.•Outlined future prospects for SOH evaluation technologies.
AbstractList With the widespread application of lithium-ion batteries in electric vehicles, renewable energy storage, and portable electronic devices, State of Health (SOH) has become a critical metric for evaluating battery performance, lifespan, and safety. Over time, lithium-ion batteries inevitably experience capacity degradation and increased internal resistance, affecting their charging and discharging efficiency and safety. These issues directly impact the reliability and economic benefits of battery systems. By analyzing the factors influencing battery SOH, this paper explores the risks associated with SOH deterioration and comprehensively reviews current mainstream methods for assessing battery SOH. Special emphasis is placed on the necessity of multi-algorithm integration to enhance the accuracy of predicting battery health status. Additionally, measures to improve battery SOH are summarized. Drawing on existing literature, this paper also outlines the challenges and future directions for battery SOH prediction. Through a thorough review of lithium-ion battery SOH, this paper aims to assist researchers in gaining a deeper understanding of SOH deterioration causes and improvement strategies, thereby promoting the refinement of SOH assessment methods and the optimization of Battery Management Systems (BMS), providing valuable references for battery life prediction and maintenance. •Analyzed various influencing factors affecting the evolution of lithium-ion battery State of Health (SOH).•Elucidated the significance and benefits of a hybrid SOH assessment framework.•Investigated strategies to mitigate SOH degradation.•Outlined future prospects for SOH evaluation technologies.
ArticleNumber 118577
Author Xu, Lijun
Wang, Bo
Wang, Xiaojuan
Hu, Bing
Xiao, Yousufu
Author_xml – sequence: 1
  givenname: Bo
  surname: Wang
  fullname: Wang, Bo
  organization: School of Control Engineering, Xinjiang Institute of Engineering, Urumqi 830023, China
– sequence: 2
  givenname: Xiaojuan
  surname: Wang
  fullname: Wang, Xiaojuan
  organization: School of Mathematics and Science, Xinjiang Institute of Engineering, Urumqi 830023, China
– sequence: 3
  givenname: Bing
  surname: Hu
  fullname: Hu, Bing
  email: hb2003042121@163.com
  organization: School of Control Engineering, Xinjiang Institute of Engineering, Urumqi 830023, China
– sequence: 4
  givenname: Lijun
  surname: Xu
  fullname: Xu, Lijun
  organization: Xinjiang Key Laboratory for Green Hydrogen Production, Storage, and Utilization Technology, Urumqi 830023, China
– sequence: 5
  givenname: Yousufu
  surname: Xiao
  fullname: Xiao, Yousufu
  organization: School of Control Engineering, Xinjiang Institute of Engineering, Urumqi 830023, China
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Zhang, Ping, Dai (bb0560) 2025; 207
Wu, Meng, Lin (bb0595) 2024; 252
Wang, Chiu, Chou (bb1340) 2020; 461
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Mawonou (10.1016/j.est.2025.118577_bb0855) 2021; 484
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Chen (10.1016/j.est.2025.118577_bb1215) 2025; 655
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Akbarzadeh (10.1016/j.est.2025.118577_bb1525) 2021; 231
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Peng (10.1016/j.est.2025.118577_bb1010) 2020; 21
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Chen (10.1016/j.est.2025.118577_bb0605) 2018; 116
Fahmy (10.1016/j.est.2025.118577_bb0815) 2024; 88
Zhang (10.1016/j.est.2025.118577_bb0560) 2025; 207
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Chen (10.1016/j.est.2025.118577_bb0105) 2021; 35
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Wang (10.1016/j.est.2025.118577_bb0315) 2016; 529
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Snippet With the widespread application of lithium-ion batteries in electric vehicles, renewable energy storage, and portable electronic devices, State of Health (SOH)...
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elsevier
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StartPage 118577
SubjectTerms Battery capacity
Battery lifespan
Battery safety
Battery SOH
SOH assessment
Title A review on influencing factors, estimation methods, and improvement strategies for state of health in lithium-ion batteries
URI https://dx.doi.org/10.1016/j.est.2025.118577
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