热滥用条件下锂离子电池泄压临界点估计算法  

Algorithm for estimating the critical venting point of lithium-ion batteries under thermal abuse conditions

作　　者：杨韬 YANG Tao(Shenzhen Zhongnuo Communications Co.,Ltd,Shenzhen,Guangdong,518100,China)

机构地区：[1]深圳市中诺通讯有限公司,广东深圳518100

出　　处：《湖南城市学院学报(自然科学版)》2025年第2期61-66,共6页Journal of Hunan City University:Natural Science

摘　　要：针对锂离子电池状态在线评估中面临的效率与收敛性问题,本文开发了一种高效且稳健的锂离子电池泄压临界点估计算法。首先,通过建立热滥用条件下的生热、产气、传热、气体状态等解析子模型,并以状态变量链接各子模型,构建了描述该动态过程的常微分方程组;然后,为求解该强非线性动态问题,采用等时段离散方法,将其离散为一系列等长时段的静态问题,并通过序列求解获得电池在热滥用条件下的内部压力演化曲线及泄压临界点;最后,将本文算法应用于3款锂离子电池的泄压临界点估算。结果表明,该算法能得到稳健的解,且计算时间不超过60s,验证了该算法在效率与收敛性方面的优越性。To address the efficiency and convergence challenges in the online assessment of lithium-ion battery states,this paper devises an efficient and robust algorithm for estimating the critical venting point of lithium-ion batteries.Firstly,under thermal abuse conditions,analytical sub-models for heat generation,gas production,heat transfer,and gas states are established.By connecting these sub-models via state variables,a system of ordinary differential equations that describes this dynamic process is constructed.Subsequently,to solve this highly non-linear dynamic problem,an isochronous discretization method is adopted to discretize it into a series of static problems over equal time intervals,and the sequence solution yields the internal pressure evolution curve and the critical venting point of the battery under thermal abuse conditions.Finally,the algorithm is applied to estimate the critical venting point of three types of lithium-ion batteries,resulting in robust solutions with computation times of less than 60 seconds,thus demonstrating the superiority of the algorithm in terms of both efficiency and convergence.

关 键 词：锂离子电池 泄压临界 状态评估 在线算法 

分 类 号：TM911.3[电气工程—电力电子与电力传动]