机械工程与自动化2024,Issue(4) :16-18.

锂电池微短路机理及其在线检测

Mechanism and Online Detection of Micro-Short Circuit in Lithium Batteries

张香林 李侨 肖息 胡丽华
机械工程与自动化2024,Issue(4) :16-18.

锂电池微短路机理及其在线检测

Mechanism and Online Detection of Micro-Short Circuit in Lithium Batteries

张香林 1李侨 1肖息 1胡丽华1
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作者信息

  • 1. 新余学院 工程训练中心,江西 新余 338000
  • 折叠

摘要

锂离子电池由于是清洁能源的理想存储设备而被广泛应用,但是其存在内短路风险.锂离子电池内短路早期症状不明显,被称为"微短路",经过一段时间的演化,就会发展成焦耳热不可控的内短路.根据锂离子电池微短路机理,研究微短路检测的理论基础,发现微短路电池与正常电池相比,其端电压曲线的斜率变化具有突变性、不可重复性、趋势性三个特征,为此有必要对锂电池微短路进行在线检测.模拟仿真结果表明,基于电压曲线斜率的锂电池内部微短路在线检测,有效克服了电池参数差异的影响,为电池内部微短路检测提供了一种新方法.

Abstract

Lithium ion batteries are widely used as ideal storage devices for clean energy,but there is a risk of internal short circuits.The early symptoms of internal short circuits in lithium-ion batteries are not obvious,known as"micro short circuits".After a period of evolution,they will develop into uncontrollable internal short circuits caused by Joule heat.This article studies the theoretical basis of micro short circuit detection based on the micro short circuit mechanism of lithium-ion batteries.It is found that compared with normal batteries,the slope change of the terminal voltage curve of micro short circuit batteries has three characteristics:mutation,non repeatability,and trend.Therefore,it is necessary to detect the micro-short circuit of lithium battery on-line.The simulation results show that the online detection of internal micro short circuits in lithium batteries based on voltage curve slope effectively overcomes the influence of battery parameter differences and provides a new method for detecting internal micro short circuits in batteries.

关键词

锂电池/微短路/电压曲线斜率/在线检测

Key words

lithium battery/micro short circuit/voltage curve slope/online detection

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基金项目

江西省教育厅科学技术研究项目(GJJ2202220)

出版年

2024
机械工程与自动化
山西省机电设计研究院 山西省机械工程学会

机械工程与自动化

影响因子:0.251
ISSN:1672-6413
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