电源技术2026，Vol.50Issue(1)：94-99,6.DOI:10.3969/j.issn.1002-087X.2026.01.012
基于改进经验热模型的锂电池温度估计
Temperature estimation of lithium ion batteries based on improved empirical thermal model
摘要
Abstract
Accurate monitoring of the battery temperature is crucial for battery life and safety.How-ever,due to the limitations of existing sensor technologies and testing methods,it is difficult to obtain the temperature of each cell in a battery pack.To overcome this issue,this study proposes an online estimation method for the temperature of lithium-ion batteries based on an improved empirical ther-mal model.A simplified empirical model is proposed based on the lumped-mass model,without the complicated experiments to obtain the thermal model parameters of the battery.The proposed model demonstrates the advantages of the simple model structure and the high computational efficiency.Meanwhile,the particle swarm optimization algorithm is used to identify the model parameters in dif-ferent intervals of battery states of charge,which improves the interpretability and the adaptability of the model.The verification results show that the proposed method exhibits the satisfying estima-tion accuracy for both battery datasets under different operating conditions and ambient tempera-tures,and the root mean square errors of the estimated temperature are overall within 0.67℃.关键词
锂离子电池/温度估计/集总质量模型/经验模型Key words
lithium-ion battery/temperature estimation/lumped-mass model/empirical model分类
信息技术与安全科学引用本文复制引用
杨驹丰,胡仔龙,夏伟,马迷娜,吴旭,庄圣伦,栗欢欢..基于改进经验热模型的锂电池温度估计[J].电源技术,2026,50(1):94-99,6.基金项目
国家自然科学基金项目(52307244,52404231) （52307244,52404231）
常州市港澳台科技合作专项项目(CZ20240019) （CZ20240019）
河北省高等学校科学技术研究项目-青年拔尖人才项目(BJK2024037) （BJK2024037）
2024年江苏省研究生科研创新计划(KYCX24_3943) （KYCX24_3943）
