中国电机工程学报2026，Vol.46Issue(16)：5966-5981,中插22,17.DOI:10.13334/j.0258-8013.pcsee.251044
基于热蔓延路径约束框架下的磷酸铁锂储能电池级联热失控建模与故障反演定位方法研究
Thermal Propagation Path-constrained Inversion Localization Methodology for Cascading Thermal Runaway Failures in LiFePO4 Energy Storage Batteries
张艺潇 1谢军 1郑炎 2谢庆 3梁贵书1
作者信息
- 1. 华北电力大学,北京市 昌平区 102206
- 2. 华北电力大学(保定),河北省 保定市 071003
- 3. 北京怀柔实验室,北京市 怀柔区 101499
- 折叠
摘要
Abstract
In large-scale energy storage cabinets,chain propagation of thermal runaway initiated by single cells within densely arranged battery modules may lead to cascading failures at the module or even cabinet level,posing severe threats to energy storage system safety.Considering the thermal runaway triggering and propagation characteristics in battery modules,this study proposes a fault inversion localization methodology for energy storage batteries constrained by thermal propagation paths.First,using 280Ah lithium-iron phosphate(LiFePO4)cells,modules,and clusters representative of practical cabinet configurations,this paper conducts thermal abuse experiments to induce cell thermal runaway.Critical parameter thresholds and evolutionary characteristics at the cell level are systematically analyzed through multi-point data acquisition.Second,leveraging experimentally validated thermal abuse failure data,a three-dimensional multiphysics coupled simulation model is developed by integrating the forgetting factor recursive least squares(FFRLS)parameter identification method.This establishes an optimized thermal propagation model with time-varying mappings between state of charge(SOC)and thermal runaway parameters,enabling precise simulation of thermal runaway propagation paths and energy release characteristics at the cell/module level under varying SOC conditions.Finally,a hybrid genetic algorithm(GA)and grey wolf optimizer(GWO)enhanced time difference of arrival(TDOA)fault inversion framework is proposed,integrating thermal propagation temperature evolution with fault inversion optimization so as to achieve cluster-level thermal runaway source localization.Results demonstrate that the optimized thermal propagation modeling framework enables high-precision module-level thermal runaway simulations,while the proposed fault inversion method robustly identifies failure sources across complex operational scenarios.关键词
磷酸铁锂电池储能/电池热失控/电池机理-数据建模/热蔓延特性/故障反演定位Key words
lithium-ion battery storage/battery thermal runaway/battery mechanism-data modeling/thermal runaway propagation characteristics/fault inversion localization分类
信息技术与安全科学引用本文复制引用
张艺潇,谢军,郑炎,谢庆,梁贵书..基于热蔓延路径约束框架下的磷酸铁锂储能电池级联热失控建模与故障反演定位方法研究[J].中国电机工程学报,2026,46(16):5966-5981,中插22,17.
