Dynamic Correction SOC Estimation Method Based on Real Vehicle Analysis Battery Characteristics

Peng Xia, Fang Liu, MingHua Xin, Yanping Guo, Yuan Chen, Chuli Yu, Jingde Ma


†Tianjin Qingyuan Electric Vehicle Limited Liability Company Tianjin, Tianjin 300072 , China, 
‡School of Computer Science & Software Engineering, TIANJIN Polytechnic University, Tianjin 300387, China
§School of Electrical and Information Engineering, Tianjin University, Tianjin 300072 , China
Cite this paper
Peng Xia, Fang Liu, MingHua Xin, Yanping Guo, Yuan Chen, Chuli Yu, Jingde Ma, “Dynamic Correction SOC Estimation Method Based on Real Vehicle Analysis Battery Characteristics”, Journal of Mechanical Engineering Research and Developments, vol. 40, no. 4, pp. 633-638, 2017. DOI: 10.7508/jmerd.2017.04.011

ABSTRACT: SOC estimation of one of the key technologies for the development of new energy electric vehicle battery management system (BMS). Based on deficiencies and limitations of existing methods, suitable for engineering SOC estimation method is proposed. This method combines Ah integration method and EMF method with weighting factor. According to battery characteristics, dynamically adjusting the weighting factor strategy is used. This strategy can overcomes the disadvantage of divergence of Ah integral method, and can improve the accuracy of the estimated SOC. The effectiveness, practicality and feasibility are verified by real vehicle test.

Keywords : SOC estimation, Ah integration method, BMS, Battery characteristics.

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