基于COMSOL的锂离子电池热失控仿真研究
Thermal Runaway Simulation of Lithium Batteries Based on COMSOL
DOI: 10.12677/MOS.2024.131081, PDF,   
作者: 戴明威:盐城工学院电气工程学院,江苏 盐城
关键词: 锂电池热失控COMSOLLithium Battery Thermal Runaway COMSOL
摘要: 为研究锂离子电池的热失控机理,减少锂电池的因高温引起的热失控事故,借助COMSOL Mul-tiphysics 6.1软件对三元锂离子电池建立热滥用引起的热失控三维模型,对不同高温环境下的热失控进行数值模拟。通过将电池处于不同加热环境、不同初始温度及不同传热系数等工况下,分析锂电池内部的热失控反应。结果表明:不同环境温度工况下,温度越高,热失控温度峰值越高,出现热失控时刻越早;不同传热系数工况下,传热系数越大,热失控时刻越早,达到峰值后温度下降梯度越大;发现在热失控过程中,相较于正负极材料和电解液,SEI膜的分解更易受环境温度的影响。
Abstract: In order to study the thermal runaway mechanism of lithium-ion batteries and reduce the thermal runaway accidents caused by high temperatures in lithium batteries, a three-dimensional model of thermal runaway caused by thermal abuse was established on ternary lithium-ion batteries with the help of COMSOL Multiphysics 6.1 software, and the thermal runaway in different high-temperature environments was numerically simulated. The thermal runaway reaction inside the lithium battery was analyzed by subjecting the battery to different heating environments, dif-ferent initial temperatures and different heat transfer coefficients. The results show that the higher the temperature, the higher the peak temperature of thermal runaway, and the earlier the thermal runaway moment occurs. Under different heat transfer coefficient conditions, the larger the heat transfer heat coefficient, the earlier the thermal runaway time, and the greater the temperature drop gradient after reaching the peak. It is found that in the process of thermal runaway, the de-composition of SEI membranes is more susceptible to the influence of ambient temperature than that of positive and negative electrode materials and electrolytes.
文章引用:戴明威. 基于COMSOL的锂离子电池热失控仿真研究[J]. 建模与仿真, 2024, 13(1): 838-846. https://doi.org/10.12677/MOS.2024.131081

参考文献

[1] 冯旭宁. 车用锂离子动力电池热失控诱发与扩展机理、建模与防控[D]: [博士学位论文]. 北京: 清华大学, 2016.
[2] 孙磊. 锂离子电池热特性分析及管理技术的研究[D]: [硕士学位论文]. 成都: 电子科技大学, 2020.
[3] Liao, Z.H., Zhang, S., Li, K., et al. (2019) A Survey of Methods for Monitoring and Detecting Thermal Runaway of Lithium-Ion Batteries. Journal of Power Sources, 436, Article 226879. [Google Scholar] [CrossRef
[4] 王明珠, 肖占龙, 郑岳久. 不同温度下磷酸铁锂电池的模型参数敏感性分析[J]. 上海理工大学学报, 2022, 44(5): 449-456.
[5] Ye, J.N., Chen, H.D., Wang, Q.S., Huang, P.F., Sun, J.H. and Lo, S.M. (2016) Thermal Behavior and Failure Mechanism of Lithium Ion Cells during Overcharge under Adiabatic Conditions. Applied Energy, 182, 464-474. [Google Scholar] [CrossRef
[6] Mei, W., Liu, Z., Wang, C., et al. (2023) Operando Monitoring of Thermal Runaway in Commercial Lithium-Ion Cells via Advanced Lab-On-Fiber Technologies. Nature Communications, 14, Article No. 5251. [Google Scholar] [CrossRef] [PubMed]
[7] Chiu, K.C., Lin, C.H., Yeh, S.F., et al. (2014) An Electrochemical Modeling of Lithium-Ion Battery Nail Penetration. Journal of Power Sources, 251, 254-263. [Google Scholar] [CrossRef
[8] Spotnitz, R. and Franklin, J. (2003) Abuse Behavior of High-Power, Lithium-Ion Cells. Journal of Power Sources, 113, 81-100. [Google Scholar] [CrossRef
[9] Giambastiani, B.M.S. (2007) Evoluzione Idrologica ed Idrogeolog-ica della Pineta di San Vitale (Ravenna). Ph.D. Thesis, Bologna University, Bologna.
[10] 饶中浩, 张国庆. 电池热管理[M]. 北京: 科学出版社, 2015.
[11] Kim, G.H., Pesaran, A. and Spotnitz, R. (2007) A Three-Dimensional Thermal Abuse Model for Lithium-Ion Cells. Journal of Power Sources, 170, 476-489. [Google Scholar] [CrossRef
[12] Lee, C.H., Bae, S.J. and Jang, M.Y. (2015) A Study on Effect of Lithium Ion Battery Design Variables upon Features of Ther-mal-Runaway Using Mathematical Model and Simulation. Journal of Power Sources, 293, 498-510. [Google Scholar] [CrossRef