SOC distribution-based modeling for lithium-ion battery for electric vehicles using numerical optimization

被引:0
|
作者
胡晓松 [1 ]
孙逢春 [1 ]
邹渊 [1 ]
机构
[1] National Engineering Laboratory for Electric Vehicles,Beijing Institute of Technology
基金
国家高技术研究发展计划(863计划); 中国国家自然科学基金;
关键词
battery modeling; SOC distribution; numerical optimization; lithium-ion battery; electric vehicle;
D O I
暂无
中图分类号
TM912.1 [酸性蓄电池];
学科分类号
0808 ;
摘要
In order to simulate electrical characteristics of a lithium-ion battery used in electric vehicles in a good manner,a three-layer battery model is established.The charge of the lithium-ion battery is assumed to distribute among the three layers and their interaction is used to depict hysteresis and relaxation effect observed in the lithium-ion battery.The model parameters are calibrated and optimized through a numerically nonlinear least squares algorithm in Simulink Parameter Estimation Toolbox for an experimental data set sampled in a hybrid pulse test of the battery.Evaluation results showed that the established model is able to provide an acceptable accuracy in estimating the State of Charge of the lithium-ion battery in an open-loop fashion for a sufficiently long time and to describe the battery voltage behavior more accurately than a commonly used battery model.The battery modeling accuracy can thereby satisfy the requirement for practical electric vehicle applications.
引用
收藏
页码:49 / 54
页数:6
相关论文
共 50 条
  • [1] SOC distribution-based modeling for lithium-ion battery for electric vehicles using numerical optimization
    胡晓松
    孙逢春
    邹渊
    [J]. Journal of Harbin Institute of Technology., 2011, 18 (05) - 54
  • [2] Modeling the dynamic behavior of a lithium-ion battery for electric vehicles using numerical optimization
    胡晓松
    孙逢春
    邹渊
    [J]. Journal of Beijing Institute of Technology, 2011, 20 (01) : 60 - 64
  • [3] Modeling for Lithium-Ion Battery used in Electric Vehicles
    Xiong, Rui
    He, Hongwen
    Guo, Hongqiang
    Ding, Yin
    [J]. CEIS 2011, 2011, 15
  • [4] Modeling for Lithium-ion Battery used in Electric Vehicles
    Han, Huachun
    Xu, Haiping
    Yuan, Zengquan
    Zhao, Yingjie
    [J]. 2014 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO (ITEC) ASIA-PACIFIC 2014, 2014,
  • [5] Capacity fade modeling of a Lithium-ion battery for electric vehicles
    Baek, K. W.
    Hong, E. S.
    Cha, S. W.
    [J]. INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY, 2015, 16 (02) : 309 - 315
  • [6] Capacity fade modeling of a Lithium-ion battery for electric vehicles
    K. W. Baek
    E. S. Hong
    S. W. Cha
    [J]. International Journal of Automotive Technology, 2015, 16 : 309 - 315
  • [7] A Review and Comparison of Lithium-Ion Battery SOC Estimation Methods for Electric Vehicles
    Manthopoulos, Andreas
    Wang, Xiang
    [J]. IECON 2020: THE 46TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2020, : 2385 - 2392
  • [8] An Artificial Potential Field-Based Lithium-ion Battery SOC Equilibrium Method in Electric Vehicles
    Jiang, Fu
    Jin, Cheng
    Liao, Hongtao
    Li, Heng
    Wu, Yue
    Liu, Yongjie
    Peng, Jun
    Huang, Zhiwu
    [J]. IFAC PAPERSONLINE, 2020, 53 (02): : 12682 - 12687
  • [9] Lithium-Ion Battery Technologies for Electric Vehicles
    Pesaran, Ahmad A.
    [J]. IEEE ELECTRIFICATION MAGAZINE, 2023, 11 (02): : 35 - 43
  • [10] Modeling and remaining capacity estimation of lithium-ion battery for electric vehicles
    Chen, Kunhua
    Sun, Yukun
    Li, Tianbo
    Sun, Zhiquan
    [J]. Qiche Gongcheng/Automotive Engineering, 2014, 36 (04): : 404 - 408