摘要
准确估计锂离子电池荷电状态(SOC)是延长车载锂离子电池寿命、保障储能系统充放电安全以及提升不间断电源供电可靠性等的重要措施。锂离子电池SOC估算具有方法类别繁多、应用场景多样化等特征,逐渐成为研究关注的焦点。首先,阐述了SOC的基本定义,并分析了影响SOC的多类复杂因素;其次,调研总结了国内外现有的锂离子电池SOC估算方法,归纳了各类方法的优缺点及相应改进方向;然后,概述了车载锂离子电池、消费电子产品、电力系统储能及通信基站等不同场景下,锂离子电池SOC估算方法的实施案例与适用情况,梳理分析了现有方法存在的缺点;最后,基于多场景下锂离子电池SOC估算方法的研究现状,从4个方面提出了未来锂离子电池SOC估算方法的挑战与展望,为后续研究提供了借鉴与参考。
Accurately estimating the state of charge (SOC) of lithium-ion battery is an important measure to prolong the service life of vehicle lithium-ion battery,ensure the safety of charging and discharging of energy storage systems,and improve the reliability of uninterruptible power supply (UPS).The SOC estimation of lithium-ion battery has the characteristics of various method categories and diversified application scenarios,and has gradually become the focus of research.Firstly,the basic definition of SOC is expounded and many kinds of complex factors affecting SOC are analyzed.Secondly,the existing SOC estimation methods for lithium-ion batteries at home and abroad are investigated and summarized,and the advantages and disadvantages of various methods and the corresponding improvement directions are summarized.Then,the implementation cases and applications of SOC estimation methods for lithium-ion batteries are summarized in different scenarios such as vehicle lithium-ion battery,consumer electronics,power system energy storage and communication base stations,and the drawbacks of existing methods are analyzed.Finally,in view of the current research status of SOC estimation methods for lithium-ion batteries in multiple scenarios,the challenges and prospects of SOC estimation methods for lithium-ion batteries in the future are proposed from four aspects,which will provide reference for the follow-up research.
作者
王义军
左雪
WANG Yijun;ZUO Xue(Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology,Ministry of Education(Northeast Electric Power University),Jilin 132012,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2022年第14期193-207,共15页
Automation of Electric Power Systems
基金
需求侧多能互补优化与供需互动技术北京市重点实验室开放基金项目(YDB51201901347)的资助。
关键词
锂离子电池
荷电状态
等效电路模型
数据驱动
电动汽车
储能
lithium-ion battery
state of charge(SOC)
equivalent circuit model
data-driven
electric vehicle
energy storage
