热失控
锂(药物)
材料科学
重复性
环境科学
预警系统
离子
核工程
生产(经济)
汽车工程
计算机科学
可靠性工程
电池(电)
统计
化学
热力学
物理
数学
工程类
医学
功率(物理)
电信
宏观经济学
有机化学
经济
内分泌学
作者
Yi Cui,Dong Shi,Zheng Wang,Lisha Mou,Mei Ou,Tianchi Fan,Shansong Bi,Xiaohua Zhang,Zhanglong Yu,Yanyan Fang
出处
期刊:Batteries
[MDPI AG]
日期:2023-08-28
卷期号:9 (9): 438-438
被引量:9
标识
DOI:10.3390/batteries9090438
摘要
Gas production analysis during the thermal runaway (TR) process plays a crucial role in early fire accident detection in electric vehicles. To assess the TR behavior of lithium-ion batteries and perform early warning and risk estimation, gas production and analysis were conducted on LiNixCoyMn1-x-yO2/graphite and LiFePO4/graphite cells under various trigger conditions. The findings indicate that the unique gas signals can provide TR warnings earlier than temperature, voltage, and pressure signals, with an advanced warning time ranging from 16 to 26 min. A new parameter called the thermal runaway degree (TRD) is introduced, which is the product of the molar quantity of gas production and the square root of the maximum temperature during the TR process. TRD is proposed to evaluate the severity of TR. The research reveals that TRD is influenced by the energy density of cells and the trigger conditions of TR. This parameter allows for a quantitative assessment of the safety risk associated with different battery types and the level of harm caused by various abuse conditions. Despite the uncertainties in the TR process, TRD demonstrates good repeatability (maximum relative deviation < 5%) and can be utilized as a characteristic parameter for risk estimation in lithium-ion batteries.
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