• DocumentCode
    628046
  • Title

    Optimal sizing of the Energy Storage System (ESS) in a Battery-Electric Vehicle

  • Author

    Ostadi, Amir ; Kazerani, Mehrdad ; Shih-Ken Chen

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
  • fYear
    2013
  • fDate
    16-19 June 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Energy Storage System (ESS) is a key component in every Electric Vehicle (EV). The most widely-used ESS in electric powertrains is based on batteries. Optimal sizing of the battery pack in electric vehicles is a crucial requirement as it strongly impacts the manufacturing cost and vehicle weight, thus running cost. This paper addresses optimal sizing of the ESS in a Battery-Electric Vehicle (BEV) based on Particle Swarm Optimization (PSO) method. Simulation results based on the optimally-sized ESS for a vehicle are presented to showcase the resulting system performance and the fact that all constraints are respected.
  • Keywords
    battery powered vehicles; energy storage; particle swarm optimisation; power transmission (mechanical); secondary cells; ESS; PSO; battery electric vehicle; battery pack optimal sizing; electric powertrains; energy storage system; particle swarm optimization; running cost; Batteries; Mathematical model; Optimization; Power demand; System-on-chip; Vehicles; Battery; DC Bus; Electric Vehicle; Energy Storage System (ESS); Optimal Sizing; Particle Swarm Optimization (PSO);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transportation Electrification Conference and Expo (ITEC), 2013 IEEE
  • Conference_Location
    Detroit, MI
  • Print_ISBN
    978-1-4799-0146-3
  • Type

    conf

  • DOI
    10.1109/ITEC.2013.6574521
  • Filename
    6574521