综合智慧能源2025，Vol.47Issue(8)：10-20,11.DOI:10.3969/j.issn.2097-0706.2025.08.002
基于电热耦合模型的锂离子电池故障诊断技术
Fault diagnosis technology for lithium-ion batteries based on electro-thermal coupling model
摘要
Abstract
With the rapid development of new energy vehicles,the safety of lithium-ion batteries,a core component of power batteries,has become increasingly crucial.Therefore,a fault diagnosis technology for lithium-ion batteries based on an electro-thermal coupling model was proposed.By integrating the electrical and thermal characteristics of lithium-ion batteries,an electro-thermal coupling model was established.The relative errors of the voltage and surface temperature predicted by the model were both less than 1%,providing a more accurate description of battery performance.The model combined a second-order Thevenin equivalent circuit model with a lumped parameter thermal model,dynamically reflecting the influence of current and voltage on temperature while accounting for the feedback effects of temperature on electrical parameters.The model parameters were identified using the Forgetting Factor Recursive Least Squares(FFRLS)algorithm,and state estimation was conducted with an Adaptive Extended Kalman Filter(AEKF).The differences between measured and estimated values enabled accurate fault diagnosis of the batteries.Simulation results demonstrated that the proposed method successfully monitored battery states under various fault conditions and identified and diagnosed faults through combined voltage and temperature monitoring.关键词
锂离子电池/电热耦合模型/参数辨识/状态估计/故障诊断Key words
lithium-ion battery/electro-thermal coupling model/parameter identification/state estimation/fault diagnosis分类
能源科技引用本文复制引用
喻子逸,潘庭龙,葛科,窦真兰,许德智..基于电热耦合模型的锂离子电池故障诊断技术[J].综合智慧能源,2025,47(8):10-20,11.基金项目
国家自然科学基金项目(62222307)National Natural Science Foundation of China(62222307) （62222307）
