热失控
锂(药物)
离子
核工程
国家(计算机科学)
预警系统
材料科学
计算机科学
物理
工程类
医学
电池(电)
热力学
电信
内科学
量子力学
算法
功率(物理)
作者
Xin Gu,Yunlong Shang,Jinglun Li,Yuhao Zhu,Xuewen Tao,Hao Geng,Zhen Zhang,Chenghui Zhang
标识
DOI:10.1038/s44172-025-00442-1
摘要
Ensuring the safety of lithium-ion power batteries is the primary prerequisite for developing electric vehicles and energy storage systems. The conventional method relies on temperature parameters and only qualitatively assesses the state of safety (SOS), which reduces the warning time of the battery management system (BMS). Here we present a thermal runaway warning method based on SOS. Specifically, we analyze the strain evolution trend of thermal runaway under different abuse conditions and propose the strain trigger point for thermal runaway. Furthermore, multidimensional parameters such as temperature rise, median voltage, capacity, power, and strain are used to quantify the SOS. The SOS is a battery state parameter, with its value ranging from 0% to 100%. Experimental results demonstrate that the presented approach can warn of thermal runaway around 5 h in advance. Ensuring the safety of lithium-ion power batteries is the primary prerequisite for developing electric vehicles and energy storage systems. Xin Gu and colleagues present a thermal runaway warning method based on the state of safety (SOS), which can warn around 5 h in advance.
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