• DocumentCode
    2892199
  • Title

    Predictive Control for battery performance improvement in hybrid PEM fuel cell vehicles

  • Author

    Arce, Alicia ; Real, Alejandro J del ; Bordons, Carlos

  • fYear
    2008
  • fDate
    3-5 Sept. 2008
  • Firstpage
    696
  • Lastpage
    701
  • Abstract
    This paper presents a hybrid control for PEM fuel cell vehicle. The main goals of this controller are the improvement of battery performance taking into account operational modes such as charge control, continuous discharge and step discharge, and also including fuel cell switching on-off constraints. The problem proposed, which has been successfully implemented, implies handling with continuous and discrete variables and constraints. Regarding the control strategy, the controller tracks motor power demand and keeps batteries close to the state of discharge, which is adequately chosen in order to obtain the most efficient performance. Moreover, nonlinear and linear models of the vehicle have been developed and particularized for a laboratory prototype in order to allow future real implementation of the hybrid control design. Finally, the simulation results are illustrated in several figures which depict the control performance for different driving cycle and initial conditions.
  • Keywords
    battery powered vehicles; control system synthesis; fuel cell vehicles; hybrid electric vehicles; nonlinear control systems; predictive control; proton exchange membrane fuel cells; PEM fuel cell vehicle; battery performance improvement; control design; laboratory prototype; linear model; motor power demand; nonlinear model; predictive control; Batteries; Control systems; Control theory; Energy management; Fuel cell vehicles; Fuel cells; Power system management; Predictive control; Prototypes; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, 2008. CCA 2008. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    978-1-4244-2222-7
  • Electronic_ISBN
    978-1-4244-2223-4
  • Type

    conf

  • DOI
    10.1109/CCA.2008.4629696
  • Filename
    4629696