Gu Xin, Shang Yunlong, Li Jinglun, Zhu Yuhao, Tao Xuewen, Geng Hao, Zhang Zhen, Zhang Chenghui
School of Control Science and Engineering, Shandong University, Jinan, China.
Commun Eng. 2025 Jun 10;4(1):106. doi: 10.1038/s44172-025-00442-1.
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.
确保锂离子动力电池的安全是开发电动汽车和储能系统的首要前提。传统方法依赖温度参数，仅对安全状态（SOS）进行定性评估，这缩短了电池管理系统（BMS）的预警时间。在此，我们提出一种基于SOS的热失控预警方法。具体而言，我们分析了不同滥用条件下热失控的应变演化趋势，并提出了热失控的应变触发点。此外，利用诸如温度上升、中位电压、容量、功率和应变等多维参数来量化SOS。SOS是一个电池状态参数，其值范围为0%至100%。实验结果表明，所提出的方法能够提前约5小时预警热失控。
