Design and research of lithium battery parameters identification model

• Main Authors: Sun Tao, Gong Guoqing, Chen Yong
• Format: Article
• Language: zho
• Published: National Computer System Engineering Research Institute of China 2019-03-01
• Series: Dianzi Jishu Yingyong
• Subjects: power battery; temperature and state of charge; model parameters identification
• Online Access: http://www.chinaaet.com/article/3000099820

Electric vehicle battery internal parameters vary with load and working conditions, so it is necessary to establish an accurate power battery model. Based on the equivalent circuit model of lithium battery and considering the influence of operating temperature and state of charge(SOC) on component parameters, this paper relied on charge and discharge method, combined hybrid pulse power characteristic(HPPC) tests and least squares method to realize each component parameter identification. The power battery model and the charge and discharge model were constructed by Simulink platform. The above models realized the accurate estimation of SOC by the ampere-hours measurement method and considering temperature influence. The results show that the lithium battery parameters identification model can accurately simulate operating characteristics of the power battery under various load conditions. The design can be applied to testing and developing power batteries.