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锂离子电池荷电状态估计研究综述

李宁 张宇 何复兴 朱龙辉 张小平 马勇 王蜀宁

全球能源互联网(英文)2021,Vol.4Issue(6):619-630,12.
全球能源互联网(英文)2021,Vol.4Issue(6):619-630,12.DOI:10.14171/j.2096-5117.gei.2021.06.009

锂离子电池荷电状态估计研究综述

Review of lithium-ion battery state of charge estimation

李宁 1张宇 1何复兴 1朱龙辉 1张小平 1马勇 1王蜀宁1

作者信息

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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

锂离子电池/电池模型/参数识别/荷电状态估计

Key words

Lithium-ion battery/Battery model/Parameter identification/State of charge estimation

引用本文复制引用

李宁,张宇,何复兴,朱龙辉,张小平,马勇,王蜀宁..锂离子电池荷电状态估计研究综述[J].全球能源互联网(英文),2021,4(6):619-630,12.

基金项目

This work was supported by research on value model and technology application of patent operation of science and technology project(52094020000U) (52094020000U)

National Natural Science Foundation of?China(52177193). (52177193)

全球能源互联网(英文)

OACSCDCSTPCDEI

2096-5117

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