• DocumentCode
    2793428
  • Title

    Research on predictive control based energy management strategy for Hybrid Electric Vehicle

  • Author

    Cui, Naxin ; Fan, Juanjuan ; Zhang, Chenghui ; Wu, Jian

  • Author_Institution
    Control Sci. & Eng. Coll., Shandong Univ., Jinan, China
  • fYear
    2012
  • fDate
    25-28 June 2012
  • Firstpage
    642
  • Lastpage
    646
  • Abstract
    Online receding horizon controller based on the principle of predictive control for parallel Hybrid Electric Vehicle is proposed in this paper. First of all, the structure of Hybrid Electric Vehicles is introduced, and the model of batteries and engine, etc is established. Secondly the energy management strategies based on predictive control algorithm is presented. At last the results of simulation experiments are analyzed compared with the rule-based control strategy in different conditions.
  • Keywords
    battery powered vehicles; energy management systems; hybrid electric vehicles; predictive control; battery model; energy management strategy; online receding horizon controller; parallel hybrid electric vehicle; predictive control algorithm; rule-based control strategy; Batteries; Engines; Fuels; Hybrid electric vehicles; Prediction algorithms; Predictive control; System-on-a-chip; Dynamic programming; Energy management; Predictive control; Receding horizon control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics for Distributed Generation Systems (PEDG), 2012 3rd IEEE International Symposium on
  • Conference_Location
    Aalborg
  • Print_ISBN
    978-1-4673-2021-4
  • Electronic_ISBN
    978-1-4673-2022-1
  • Type

    conf

  • DOI
    10.1109/PEDG.2012.6254070
  • Filename
    6254070