Review of lithium-ion battery state of charge estimation

Ning Li; Yu Zhang; Fuxing He; Longhui Zhu; Xiaoping Zhang; Yong Ma; Shuning Wang

doi:10.1016/j.gloei.2022.01.003

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Review of lithium-ion battery state of charge estimation

Smart Grid | 更新时间：2026-09-21

- Review of lithium-ion battery state of charge estimation
- Global Energy Interconnection Vol. 4, Issue 6, Pages: 619-630(2021)
- 作者机构：
  
  1. School of Electrical Engineering, Xi’an University of Technology,Xi’an,PR China,710048
  2. Electric Power Research Institute of State Grid Shanghai Municipal Electric Power Company,Shanghai,PR China,200437
  3. Department of Electronic, Electrical, and Systems Engineering, School of Engineering, University of Birmingham,Birmingham,UK,B15 2TT
  4. School of Computer Information Engineering, Jiangxi Normal University,Nanchang,PR China,330022
  5. State Grid Chongqing Electric Power Company,Chongqing,PR China,400014
- 作者简介：
- 基金信息：
- DOI：10.1016/j.gloei.2022.01.003
  CLC：
- Online First：08 March 2022，
  
  Published：2021
- 稿件说明：
移动端阅览
Ning Li, Yu Zhang, Fuxing He, et al. Review of lithium-ion battery state of charge estimation[J]. Global Energy Interconnection, 2021, 4(6): 619-630.
DOI：

Ning Li, Yu Zhang, Fuxing He, et al. Review of lithium-ion battery state of charge estimation[J]. Global Energy Interconnection, 2021, 4(6): 619-630. DOI： 10.1016/j.gloei.2022.01.003.

摘要

Abstract

The technology deployed for lithium-ion battery state of charge (SOC) estimation is an important part of the design of electric vehicle battery management systems. Accurate SOC estimation can forestall excessive charging and discharging of lithium-ion batteries

thereby improving discharge efficiency and extending cycle life. In this study

the key lithium-ion battery SOC estimation technologies are summarized. First

the research status of lithium-ion battery modeling is introduced. Second

the main technologies and difficulties in model parameter identification for lithium-ion batteries are discussed. Third

the development status and advantages and disadvantages of SOC estimation methods are summarized. Finally

the current research problems and prospects for development trends are summarized.

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