多收费
热失控
多物理
雷管
电池(电)
材料科学
核工程
储能
联轴节(管道)
电压
发热
电解质
热的
机械
能量(信号处理)
计算机科学
热能
毫秒
内部加热
机械工程
一致性(知识库)
电化学
灾难性故障
传热
热力学
贝叶斯推理
作者
Jun Xie,Yuanxin Bai,艺潇 张,Y LIU,坤 田,Zhichao Tang
标识
DOI:10.1149/1945-7111/ae7d60
摘要
As energy storage scales up, overcharge-induced thermal runaway (TR) in large-capacity batteries poses critical risks. This study develops a 3D multiphysics model for 280 Ah prismatic lithium iron phosphate (LFP) batteries, coupling electrochemistry, heat conduction, and side reactions while incorporating gas-pressure-structural response dynamics. To resolve high-dimensional parameter identification challenges, a staged strategy using Bayesian optimization and cross-dimensional mapping is proposed, ensuring consistency between 1D and 3D models while minimizing computational costs. Validated against 0.5C and 1C overcharge tests, the model accurately predicts voltage and temperature evolution, with TR onset and peak temperature errors under 5% and 3%, respectively. Mechanistic analysis reveals a transition from electrochemical to side-reaction-dominated heat generation, with electrolyte oxidation being the primary driver of heat and gas evolution during deep overcharge. Furthermore, results indicate that battery expansion is primarily driven by internal pressure accumulation, characterizing overcharge TR as a coupled thermal-gas-mechanical failure process. This framework provides a robust tool for safety characterization and early warning in large-scale energy storage systems.
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