• DocumentCode
    3033495
  • Title

    An intelligent energy management model for a parallel hybrid vehicle under combined loads

  • Author

    Khayyam, Hamid ; Kouzani, Abbas Z. ; Hu, Eric J.

  • Author_Institution
    Sch. of Eng. & IT, Deakin Univ., Geelong, VIC
  • fYear
    2008
  • fDate
    22-24 Sept. 2008
  • Firstpage
    145
  • Lastpage
    150
  • Abstract
    To exploit the benefits offered by parallel HEVs, an intelligent energy management model is developed and evaluated in this paper. Despite most existing works, the developed model incorporates combined wind/drag, slope, rolling, and accessories loads to minimise the fuel consumption under varying driving conditions. A slope prediction unit is also employed. The engine and the electric motor can output power simultaneously under a heavy-load or a slopped road condition. Two simulation were conducted namely slopped-windy-prediction and slopped-windy-prediction-hybrid. The results indicate that the vehicle speed and acceleration is smoother where the hybrid component was included. The average fuel consumption for the first and second simulations were 7.94 and 7.46 liter/100 km, respectively.
  • Keywords
    electric motors; energy management systems; hybrid electric vehicles; electric motor; fuel consumption; intelligent energy management model; parallel hybrid vehicle; slopped-windy-prediction; Automotive engineering; Electric motors; Energy management; Fuels; Fuzzy logic; Hybrid electric vehicles; Ice; Intelligent vehicles; Internal combustion engines; Propulsion; Fuel consumption; friction; intelligent energy management; modeling; parallel hybrid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Electronics and Safety, 2008. ICVES 2008. IEEE International Conference on
  • Conference_Location
    Columbus, OH
  • Print_ISBN
    978-1-4244-2359-0
  • Electronic_ISBN
    978-1-4244-2360-6
  • Type

    conf

  • DOI
    10.1109/ICVES.2008.4640869
  • Filename
    4640869