Establishing a Dynamic Model of Lithium-Ion Battery Charging Internal Resistance Based on Multiple Factors
Pan Haihong1, Zhang Mo1, Wang Huimin1, Feng Zhe1, Chen Lin1,2
1. School of Mechanical Engineering Guangxi University Nanning 530004 China; 2. Guangxi Key Laboratory of Electrochemical Energy Materials Collaborative Innovation Center of Renewable Energy Materials Nanning 530004 China
Abstract：Modeling the internal resistance of lithium-ion batteries is of great significance for the thermal management of batteries. The internal resistance of charging is affected by many factors such as temperature and charging rate. Therefore, the relationship between the battery's internal resistance change characteristics and various influencing factors (charging rate, state of charge and temperature) is analyzed. The binary polynomial method based on the least square and the cubic spline interpolation algorithm are used to calculate the battery charging internal resistance at different charging rates, SOC, and temperature. The dynamic model of the internal resistance of multi-factor dynamic charge is established, and the charging internal resistance is estimated in different states. The results show that the maximum error between the internal resistance estimated value by the dynamic model and the experimental value does not exceed 6 mΩ, which proves that the proposed method for modeling battery charging internal resistance is effective.
潘海鸿, 张沫, 王惠民, 冯喆, 陈琳. 基于多影响因素建立锂离子电池充电内阻的动态模型[J]. 电工技术学报, 2021, 36(10): 2199-2206.
Pan Haihong, Zhang Mo, Wang Huimin, Feng Zhe, Chen Lin. Establishing a Dynamic Model of Lithium-Ion Battery Charging Internal Resistance Based on Multiple Factors. Transactions of China Electrotechnical Society, 2021, 36(10): 2199-2206.
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2021, Vol. 36 
