储能科学与技术2025，Vol.14Issue(5)：1784-1796,13.DOI:10.19799/j.cnki.2095-4239.2025.0262
锂离子电池过充热失控气热模型构建及关键参数影响分析
Construction and characteristic analysis of key parameters in a gas-thermal model for thermal runaway in lithium-ion battery based on overcharge
莫子鸣 1饶宗昕 1杨建飞 1杨孟昊 2蔡黎明1
作者信息
- 1. 同济大学汽车学院
- 2. 同济大学材料科学与工程学院,上海 201804
- 折叠
摘要
Abstract
Overcharging has been identified as a primary contributor to thermal runaway(TR)in lithium-ion batteries(LIBs),where TR modeling plays a pivotal role in understanding coupled heat-gas generation mechanisms for safety enhancement.This study develops an integrated gas-thermal TR model incorporating side reaction-driven gas generation and internal pressure dynamics to characterize overcharge-induced failure.Systematic analysis reveals that charging rate(C-rate)and electrolyte decomposition potential critically govern TR progression,with parametric studies demonstrating that reducing C-rate from 2 C to 1 C combined with elevating electrolyte decomposition potential from 4.3 V to 4.7 V delays TR initiation by 22%in state-of-charge(SOC)while postponing safety valve activation by 15%SOC.The C-rate predominantly regulates temperature evolution during early overcharging(SOC<110%),whereas electrolyte decomposition potential dominates reaction kinetics in later stages(SOC>130%).Notably,increased C-rate substantially weakens the TR-suppressing effect of elevated decomposition potential(22%SOC reduction in suppression efficacy at 3 C vs 1 C),while safety valve activation exhibits stronger dependence on electrolyte stability with merely 3%SOC variation across 1-3 C rates.These findings establish quantitative correlations between material properties and failure thresholds,providing actionable insights for optimizing LIB thermal safety through coordinated charging protocol design and electrolyte stabilization strategies.关键词
锂离子电池/过充/热失控/气热模型/参数分析Key words
lithium-ion battery/overcharge/thermal runaway/gas-thermal model/characteristic analysis分类
动力与电气工程引用本文复制引用
莫子鸣,饶宗昕,杨建飞,杨孟昊,蔡黎明..锂离子电池过充热失控气热模型构建及关键参数影响分析[J].储能科学与技术,2025,14(5):1784-1796,13.
