黑龙江科学2024,Vol.15Issue(4) :30-33.

动力电池SOC估计研究方法及梯次利用方法的发展现状

Current Development of SOC Estimation Research Methods and Echelon Utilization Methods for Power Batteries

仇顺荣 李成冬 田旭
黑龙江科学2024,Vol.15Issue(4) :30-33.

动力电池SOC估计研究方法及梯次利用方法的发展现状

Current Development of SOC Estimation Research Methods and Echelon Utilization Methods for Power Batteries

仇顺荣 1李成冬 1田旭1
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作者信息

  • 1. 盐城工学院汽车工程学院,江苏 盐城 224051
  • 折叠

摘要

近年来,随着新能源的大力发展,动力电池成为新能源汽车的动力源,其中锂离子具有优秀的性能及较高的容量受到大量车厂的青睐.而动力电池的荷电状态即SOC作为动力电池能量管理系统中的重要组成,对其精确的评估具有重要影响.目前,国内外针对动力电池荷电状态的估计已有大量研究.随着动力电池的发展,动力电池的退役处理成为急需解决的重大问题.针对退役电池的处理主要有梯次利用及回收拆解,针对动力电池荷电状态检测方法及梯次利用方法进行综述,为其深入发展奠定基础.

Abstract

In recent years,with the vigorous development of new energy,power batteries have become the power source of new energy vehicles,of which lithium ion has excellent performance and high capacity has been favored by a large number of automakers.As an important component of power battery energy management system,SOC,the state of charge of power battery,has an important impact on its accurate evaluation.At present,there have been a lot of researches on the estimation of the state of charge of power battery at home and abroad.With the development of power batteries,the decommissioning of power batteries has become a major urgent problem.The treatment of decommissioned batteries mainly includes cascade utilization and recycling and disassembly.The study reviews the detection methods and cascade utilization methods of power batteries,so as to lay a foundation for their further development.

关键词

动力电池/SOC估计/安时积分/卡尔曼滤波/梯次利用

Key words

Power battery/SOC estimation/Ampere-hour integral/Kalman filtering/Echelon utilization

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基金项目

盐城工学院2022年产学研项目(YG2022062803)

尾矿环保超声清洗关键技术研究及设备开发(YG20230904007)

出版年

2024
黑龙江科学
黑龙江省科学院

黑龙江科学

影响因子:1.014
ISSN:1674-8646
参考文献量37
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