• DocumentCode
    33400
  • Title

    Genetic-based bacteria foraging to optimise energy management of hybrid electric vehicles

  • Author

    Samanta, Chandan ; Panigrahi, Siba Prasada ; Panigrahi, B.K.

  • Author_Institution
    Dept. of Electr. Eng., BIET, Bhadrak, India
  • Volume
    4
  • Issue
    3
  • fYear
    2014
  • fDate
    Sep-14
  • Firstpage
    53
  • Lastpage
    61
  • Abstract
    This study deals with energy management in hybrid electric vehicles. This study first formulates energy management as an optimisation problem. Novelty of this study is use of a population-based hybrid algorithm, genetic-based bacteria foraging, to the problem of energy management. This hybrid algorithm hybridises merits of both genetic algorithm and bacteria foraging optimisation. Encouraging simulation results show that there is a reduction in fuel consumption, whereas retaining technical and commercial efficiency of the electric vehicle.
  • Keywords
    energy management systems; genetic algorithms; hybrid electric vehicles; bacteria foraging optimisation; energy management; fuel consumption; genetic algorithm; genetic-based bacteria foraging; hybrid electric vehicles; optimisation problem; population-based hybrid algorithm;
  • fLanguage
    English
  • Journal_Title
    Electrical Systems in Transportation, IET
  • Publisher
    iet
  • ISSN
    2042-9738
  • Type

    jour

  • DOI
    10.1049/iet-est.2013.0013
  • Filename
    6879704