• DocumentCode
    189492
  • Title

    Battery modelling methods for electric vehicles - A review

  • Author

    Cheng Zhang ; Kang Li ; McLoone, S. ; Zhile Yang

  • Author_Institution
    Sch. of Electron., Electr. Eng. & Comput. Sci, Queen´s Univ., Belfast, UK
  • fYear
    2014
  • fDate
    24-27 June 2014
  • Firstpage
    2673
  • Lastpage
    2678
  • Abstract
    Electric vehicles and hybrid electric vehicles are rapidly gaining popularity as an important means of decarbonizing the transport sector in tackling sustainable energy supply and environment pollution problems. To build a proper battery model is essential in predicting battery behaviour under various operating conditions for avoiding unsafe battery operations and in developing proper controlling algorithms and maintenance strategies. This paper presents a comprehensive review of battery modelling methods. In particular, the mechanism and characteristics of Li-ion batteries are presented, and different modelling methods are discussed. Considering that equivalent electric circuit models are most widely used in the battery management system, a detailed analysis of the modelling procedure is presented.
  • Keywords
    battery management systems; hybrid electric vehicles; maintenance engineering; secondary cells; Li-ion battery characteristic; battery behaviour prediction; battery management system; battery modelling method; controlling algorithm; environment pollution tackling; hybrid electric vehicle; maintenance strategy; sustainable energy supply; unsafe battery operations avoiding; Analytical models; Batteries; Computational modeling; Integrated circuit modeling; Mathematical model; System-on-chip; Temperature measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2014 European
  • Conference_Location
    Strasbourg
  • Print_ISBN
    978-3-9524269-1-3
  • Type

    conf

  • DOI
    10.1109/ECC.2014.6862541
  • Filename
    6862541