• DocumentCode
    3665022
  • Title

    Model predictive control of plug-in hybrid electric vehicles using for commuting

  • Author

    Kaijiang Yu;Taketoshi Kawabe;Qing Liang

  • Author_Institution
    Department of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, China
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1453
  • Lastpage
    1458
  • Abstract
    This paper introduces a novel model predictive control method for a plug-in hybrid electric vehicle using for commuting. The new features of this study are as follows: (1) the optimal battery state of charge obtained from dynamic programming is used for set points of vehicle control, (2) the trip distance information is modelled in the model predictive controller. Effectiveness of the proposed control method is validated on a vehicle simulator provided by the JSAE-SICE benchmark problem 2.
  • Keywords
    "Batteries","Engines","Vehicles","Predictive control","Fuel economy","Roads","System-on-chip"
  • Publisher
    ieee
  • Conference_Titel
    Society of Instrument and Control Engineers of Japan (SICE), 2015 54th Annual Conference of the
  • Type

    conf

  • DOI
    10.1109/SICE.2015.7285455
  • Filename
    7285455
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3665022