• DocumentCode
    1775647
  • Title

    A fuzzy logic-based model for Li-ion battery with SOC and temperature effect

  • Author

    Du Jiani ; Liu Zhitao ; Wang Youyi ; Wen Changyun

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2014
  • fDate
    18-20 June 2014
  • Firstpage
    1333
  • Lastpage
    1338
  • Abstract
    In this paper, a fuzzy logic-based model for Li-ion battery considering SOC and temperature effect is proposed. So far, the equivalent circuit model for Li-ion battery is common-used for its simplicity and suitability for control and estimation. However, among existing equivalent circuit models, it is seldom to consider the temperature effect, which has significant influence on electric vehicles (EVs) performance. It is difficult to find the relationship between equivalent circuit parameters and state of charge (SOC) and temperature. In our paper, the methodology of fuzzy logic is applied to model Li-ion battery. By using fuzzy rules, SOC and temperature effect on parameters is described simultaneously with simplicity and clarity. Simulation and experiment results show that the fuzzy logic-based model has good accuracy at different temperatures.
  • Keywords
    electric vehicles; fuzzy logic; power engineering computing; secondary cells; EV; Li-ion battery; SOC; electric vehicles performance; equivalent circuit parameters; fuzzy logic-based model; state of charge; temperature effect; Batteries; Equivalent circuits; Integrated circuit modeling; Mathematical model; System-on-chip; Temperature distribution; battery modeling; equivalent circuit model; fuzzy logic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control & Automation (ICCA), 11th IEEE International Conference on
  • Conference_Location
    Taichung
  • Type

    conf

  • DOI
    10.1109/ICCA.2014.6871117
  • Filename
    6871117