摘要
锂离子电池具有能量密度高、循环寿命长、环境友好、无记忆效应等优点。作为电动乘用车、便携式电子设备、分布式储能等领域的核心部件,锂离子电池在遭遇机械滥用、电滥用、热滥用时,极易发展成为热失控,对其安全性产生极大威胁。为提高锂离子电池抗热失控风险能力,在符合出厂安全检测指标前提下,在其应用场景内引入热失控早期预警机制,在以锂离子电池为动力的应用系统安全管理中具有非常重要的实用价值。本文对现有的锂离子电池热失控早期预警技术研究进展进行了综述总结,并对锂离子电池热失控早期预警技术及其故障预测准确度的改进策略进行了展望,旨在对未来提升锂离子电池安全可靠性提供指导意义。
Lithium-ion batteries have the advantages of high specific energy,long cycle life,environmental friendliness,no memory effect,etc.As the core component in the fields of electric vehicles,portable electronic devices,and distributed energy storage,lithium-ion batteries are easily led to thermal runaways due to mechanical abuse,electrical abuse,and thermal abuse,posing a great threat to their safety.In order to enhance the anti-thermal runaway capability of lithium-ion batteries and ensure the safety of the public’s life and property,the early warning mechanism for anti-thermal runaway is introduced in its application scenario,on the premise of meeting the safety inspection.The early warning mechanism is very important in the safety management of application systems powered by lithium-ion batteries.This paper summarizes the existing research of early warning mechanism for anti-thermal runaway of lithium-ion batteries.Finally,the research on improving the early warning mechanism and its fault prediction accuracy for anti-thermal runaway of lithium-ion batteries are prospected.The aim is to improve the safety and reliability of lithium-ion batteries’applications.
作者
廖正海
张国强
LIAO Zheng-hai;ZHANG Guo-qiang(Institute of Electrical Engineering,Chinese Academy of Sciences,Beijing 100190,China;University of Chinese Academy of Sciences,Beijing 100049,China)
出处
《电工电能新技术》
CSCD
北大核心
2019年第10期61-66,共6页
Advanced Technology of Electrical Engineering and Energy
基金
国家电网公司总部科技项目(B442GY170045)
关键词
锂离子电池
应用安全性
热失控
电池管理系统
温度检测
气体检测
光谱技术
lithium-ion batteries
application safety
thermal runaway
battery management system
temperature detection
gas detection
spectroscopy technology
作者简介
廖正海(1994-),男,湖南籍,博士研究生,研究方向为光谱学与分析化学及高电压技术的学科交叉研究;张国强(1964-),男,河北籍,研究员,博导,研究方向为在线监测与故障预警技术研究及仪器研制。
