• DocumentCode
    71462
  • Title

    Hybrid swarm intelligence methods for energy management in hybrid electric vehicles

  • Author

    Samanta, Chandan Kumar ; Padhy, Sasmita Kumari ; Panigrahi, Siba Prasada ; Panigrahi, B.K.

  • Author_Institution
    Dept. of Electr. Eng., BIET, Bhadrak, India
  • Volume
    3
  • Issue
    1
  • fYear
    2013
  • fDate
    Mar-13
  • Firstpage
    22
  • Lastpage
    29
  • Abstract
    This study deals with energy management (EM) in hybrid electric vehicles. This study designs EM as an optimisation problem, then, optimises it using particle swarm optimisation (PSO) and some of its hybridisations. This study will be first in the literature to introduce PSO to the problem of EM in electric field. Moreover, this study proposes some novel applications of hybrid PSO, such as PSO-DE and PSO-QI. Encouraging simulation results obtained in this study that may attract for a case study for practical implementations.
  • Keywords
    energy management systems; hybrid electric vehicles; particle swarm optimisation; EM design; PSO-DE; PSO-QI; electric field; energy management; hybrid PSO; hybrid electric vehicles; hybrid swarm intelligence method; particle swarm optimisation;
  • fLanguage
    English
  • Journal_Title
    Electrical Systems in Transportation, IET
  • Publisher
    iet
  • ISSN
    2042-9738
  • Type

    jour

  • DOI
    10.1049/iet-est.2012.0009
  • Filename
    6518033