Vol. 40, No. 4 (2017) (11)

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

Author(s): 
Peng Xia, Fang Liu, MingHua Xin, Yanping Guo, Yuan Chen, Chuli Yu, Jingde Ma

Affiliation(s): 

†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.

References
[1]Zhang Shu, Research on Software Design and SOC Estimation Strategy of Electric Vehicle Battery Management System. Tianjin: Tianjin University, 2006.
[2]Li Xiaohong, Research on SOC Estimation and Software Design of Power Battery Management System. Wuhan：Wuhan University of Technology, 2012.
[3]DARREN L,and ADNAN A, “A distributed industrial battery management network”, IEEE Transactions on Industrial Electronics, vol. 51,no. 6, pp. 1181-1193, 2004.
[4]Liu Xiaoping,Yang Fei, and Hu Yinquan, “Research and Implementation of LiFePO4 Battery Management System for EV”, Power technology,vol. 35, no. 3, pp. 251-254, 2011.
[5]T. Markel,A. Brooker,T. Hendricks,and V. Johnson, “ADVISOR: a systems analysis tool for advanced vehicle modeling”, Journal of Power Sources, vol. 110,no. 2, pp. 377-382, 2002.
[6]Zhang Huahui,Xia Baojia,Qi Bojin,and Liao Jinyu, “Design of centralized lithium – ion battery management system for hybrid cars”, Journal of South China Normal University (Natural Science Edition), vol. A02, pp. 122-124, 2009.
[7]Wang Zhifu,Peng Lianyu,Sun Pengchun,and Zhang Chengning, “Charge and discharge characteristics of lithium – ion battery for electric vehicle”, Battery,vol, 33, no. 3, pp. 167-168, 2003.
[8]Seongjun Lee, JonghoonKim,Jaemoon Lee,and B. H. Cho, “State of charge and capacity estimation of lithium-ion battery using a new open-circuit voltage versus state of charge”, Journal of Power Sources,vol. 185: pp. 1367-1373, 2008.