• DocumentCode
    696550
  • Title

    Explicit MPC for battery performance improvement in hybrid PEM fuel cell vehicles

  • Author

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

  • fYear
    2009
  • fDate
    23-26 Aug. 2009
  • Firstpage
    4852
  • Lastpage
    4857
  • Abstract
    This paper presents an explicit hybrid predictive controller in order to improve battery performance and battery durability in hybrid PEM fuel cell vehicles. This kind of hybrid controller is proposed to tackle this complex control problem which involves handling piecewise affine models and discrete variables, and to reduce the computational time which is the drawback of the model predictive control. The control strategy is to track motor power demand and to keep battery state of charge near the optimal value which minimizes the hydrogen consumption. Moreover, this controller takes different constraints into consideration in order to reduce fuel cell and battery degradation. Likewise, a hybrid control model is elaborated by simplifying non-linear vehicle model and including discrete variables. Finally, this work shows simulation results which demonstrates the feasibility of the real implementation in terms of execution time.
  • Keywords
    battery powered vehicles; discrete systems; durability; fuel cell vehicles; hybrid electric vehicles; machine control; nonlinear control systems; predictive control; proton exchange membrane fuel cells; MPC; battery degradation; battery durability; battery performance improvement; control strategy; discrete variables; fuel cell degradation; hybrid PEM fuel cell vehicles; hybrid predictive controller; hydrogen consumption minimization; model predictive control; motor power demand tracking; nonlinear vehicle model; piecewise affine models; polymeric electrolyte membrane fuel cell; state of charge; Batteries; Discharges (electric); Fuel cells; Hydrogen; Power demand; Switches; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2009 European
  • Conference_Location
    Budapest
  • Print_ISBN
    978-3-9524173-9-3
  • Type

    conf

  • Filename
    7075168