• DocumentCode
    2832015
  • Title

    Power flow split strategy for hybrid vehicles based on generalized predictive control

  • Author

    Mendoza-Soto, J.L. ; Alvarez-Icaza, Luis

  • Author_Institution
    Inst. de Ing., Univ. Nac. Autonoma de Mexico, Mexico City, Mexico
  • fYear
    2012
  • fDate
    3-5 Oct. 2012
  • Firstpage
    388
  • Lastpage
    394
  • Abstract
    A new power flow split strategy for hybrid vehicles based on generalized predictive control (GPC) is presented. A velocity tracking problem, together with the minimization of fuel consumption and constraints in batteries state of charge and power sources limits, is solved without requiring any a priori knowledge of power use. To allow real-time computation, the proposed strategy uses simplified models of a diesel-electric hybrid vehicle. Simulation results are presented that confirm good performance of the strategy for three different driving cycles.
  • Keywords
    battery powered vehicles; diesel-electric locomotives; hybrid electric vehicles; load flow control; predictive control; velocity control; GPC; battery state of charge; diesel-electric hybrid vehicle; driving cycles; generalized predictive control; power flow split strategy; power source limit; velocity tracking problem; Batteries; Diesel engines; Fuels; Gears; Hybrid electric vehicles; System-on-a-chip;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications (CCA), 2012 IEEE International Conference on
  • Conference_Location
    Dubrovnik
  • ISSN
    1085-1992
  • Print_ISBN
    978-1-4673-4503-3
  • Electronic_ISBN
    1085-1992
  • Type

    conf

  • DOI
    10.1109/CCA.2012.6402676
  • Filename
    6402676