• DocumentCode
    158468
  • Title

    Optimal energy management control scheme for fuel cell hybrid vehicle

  • Author

    Sid, M.N. ; Marouani, K. ; Becherif, M. ; Alloui, H.

  • Author_Institution
    Lab. Commande des Machines, Ecole Militaire Polytech., Algiers, Algeria
  • fYear
    2014
  • fDate
    16-19 June 2014
  • Firstpage
    716
  • Lastpage
    721
  • Abstract
    This paper presents an analysis of energy management strategies (EMS) applied to a hybrid power sources architecture composed of fuel cell and supercapacitor for electric vehicle application. An EMS based on optimal control theory is discussed and compared to the EMS based on power frequency separation that allows power load frequency decomposition. Firstly, the electrical model of the fuel cell and supercapacitor power sources is given. Then, the EMS based on optimal control is presented, which has as objective to minimize hydrogen consumption and simultaneously prolonging fuel cell stack lifetime. Thus, these two strategies are compared in terms of hydrogen consumption and state of the charge of the supercapacitor pack. Therefore, the simulation results show the effectiveness of the strategy based on optimal control.
  • Keywords
    energy management systems; fuel cell vehicles; hybrid electric vehicles; optimal control; supercapacitors; EMS; electric vehicle application; energy management strategies; fuel cell hybrid vehicle; fuel cell stack lifetime; hybrid power sources architecture; hydrogen consumption minimization; optimal control theory; optimal energy management control scheme; power frequency separation; power load frequency decomposition; supercapacitor power sources; Energy management; Fuel cells; Fuels; Optimal control; Supercapacitors; System-on-chip; Vehicles; Electrical hybrid vehicle; Energy management; Fuel cell; Optimal control; Supercapacitors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation (MED), 2014 22nd Mediterranean Conference of
  • Conference_Location
    Palermo
  • Print_ISBN
    978-1-4799-5900-6
  • Type

    conf

  • DOI
    10.1109/MED.2014.6961458
  • Filename
    6961458