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

欢迎来到能源电力期刊网！

English Version 期刊登录

您当前的位置：

首页 >

文章列表页 >

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
- Review of lithium-ion battery state of charge estimation
- 全球能源互联网(英文) 2021年4卷第6期页码：619-630
- 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
  中图分类号：
- 网络首发：2022-03-08，
  
  纸质出版：2021
- 稿件说明：
移动端阅览
Ning Li, Yu Zhang, Fuxing He, 等. Review of lithium-ion battery state of charge estimation[J]. 全球能源互联网(英文), 2021,4(6):619-630.

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.
Ning Li, Yu Zhang, Fuxing He, 等. Review of lithium-ion battery state of charge estimation[J]. 全球能源互联网(英文), 2021,4(6):619-630. DOI： 10.1016/j.gloei.2022.01.003.

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.

关键词

Keywords

references

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

Efficient identification of photovoltaic cell parameters via Bayesian neural network-artificial ecosystem optimization algorithm

Estimation of state of health based on charging characteristics and back-propagation neural networks with improved atom search optimization algorithm

Modeling and clustering of residential electricity consumption for short-term forecasting using seasonal autoregressive integrated moving average (SARIMA)

Analysis of the impact of grid-forming doubly-fed induction generator parameter on transient stability and small-signal stability

Adaptive power and virtual resistance cooperation control strategy of VSG-based GFM converters for grid transient stability enhancement