• DocumentCode
    77657
  • Title

    Optimal Sizing of the Battery Unit in a Plug-in Electric Vehicle

  • Author

    Ostadi, Amir ; Kazerani, Mehrdad

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
  • Volume
    63
  • Issue
    7
  • fYear
    2014
  • fDate
    Sept. 2014
  • Firstpage
    3077
  • Lastpage
    3084
  • Abstract
    Batteries are the most commonly used electrical energy storage devices. The cost and performance of an electric vehicle (EV) are strongly affected by the proper selection of technology, number, and arrangement of the battery cells used. This paper formulates the problem of optimal sizing of the battery unit (BU) for a plug-in EV (PEV), given the specifications of the vehicle, battery cell data, and drive cycle. This paper employs a metaheuristic optimization algorithm to find the optimal size of the BU with the objective of minimizing the overall cost. Feasibility of the optimization results in terms of respecting the constraints is verified via simulation. The developed optimization platform is highly flexible and allows use of different vehicle designs, component data, and drive cycles.
  • Keywords
    battery powered vehicles; electric vehicles; optimisation; PEV; battery unit; drive cycles; energy storage devices; metaheuristic optimization algorithm; optimal battery sizing; plug-in electric vehicle; Batteries; Hybrid electric vehicles; Mathematical model; Optimization; System-on-chip; Battery unit (BU); cost; energy storage system (ESS); optimal sizing; plug-in electric vehicle (PEV); teaching??learning-based optimization (TLBO);
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2014.2302676
  • Filename
    6725642