Journal of South China University of Technology(Natural Science Edition) ›› 2019, Vol. 47 ›› Issue (4): 44-52.doi: 10.12141/j.issn.1000-565X.180464

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Lithium Battery Internal Temperature Estimation Based on Simplified Variable Parameter Thermal Model

LIU Xintian1 ZHANG Sheng1 HE Yao1 ZHENG Xinxin1 LIU Xingtao1 WANG Shoumo2   

  1.  1． Intelligent Manufacturing Institute，Hefei University of Technology，Hefei 230009，Anhui，China; 2． Shenzhen HYNN Technologies Co. Ltd. ，Shenzhen 518110，Guangdong，China
  • Received:2018-09-20 Revised:2018-11-27 Online:2019-04-25 Published:2019-03-01
  • Contact: 刘新天(1981-)，男，博士，副研究员，主要从事自动控制理论与电源管理系统等研究． E-mail:liu@hfut.edu.cn
  • About author:刘新天(1981-)，男，博士，副研究员，主要从事自动控制理论与电源管理系统等研究．
  • Supported by:
    Supported by the Youth Fund of the National Natural Science Foundation of China(51607052，61603120)，the Science and Technology Planning Project of Guangdong Province(2013B090500070) and the Science and Technology Major Project of Anhui Province(17030901061)

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Abstract: The accurate estimation of the internal temperature of lithium battery is the key to realize the safe and re- liable thermal management of the battery． In order to accurately estimate the internal temperature of the lithium battery，considering the influence of the identification error of each thermoelectric parameter in the existing battery thermal model on the internal temperature estimation accuracy，a method for estimating the internal temperature of a lithium battery based on a simplified variable parameter thermal model was proposed． By identifying the internal heat capacity and external thermal resistance of lithium battery at different ambient temperatures，a variable inter- nal heat capacity and external thermal resistance estimation model was established to analyze the model mechanism， and the influence of external environment on internal heat capacity and external thermal resistance． The reliablity of the model was verified by experiments． Finally，the extended temperature Kalman filter (EKF) algorithm was used to estimate the internal temperature． The constant current discharge experiment and simulation results under different temperature gradients prove that the model is suitable for the lithium battery thermal model under different ambient temperatures，and it has improved the internal temperature estimation accuracy．

Key words: internal temperature, thermal management, variable parameter thermal model, extended Kalman filter

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