• DocumentCode
    3348474
  • Title

    A Comparative Study of Supervisory Control Strategies for a Series Hybrid Electric Vehicle

  • Author

    Gao, Jianping ; Sun, Fengchun ; He, Hongwen ; Zhu, Guoming G. ; Strangas, Elias G.

  • Author_Institution
    Sch. of Mech. & Vehicular Eng., Beijing Inst. of Technol., Beijing
  • fYear
    2009
  • fDate
    27-31 March 2009
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    To develop an efficient real-time supervisory control strategy for a series hybrid electric bus, three kinds of popular strategies were compared in principle; backward simulations in ADVISOR were conducted for these strategies. Comparative simulation results shows that thermostat control strategy makes the internal combustion engine operate at its most efficient condition; power follower control strategy is helpful to reduce the battery usage, hence, reduce the power loss associated with charging and discharging and extend the battery life; and the equivalent fuel consumption control strategy proposed in this paper provides a total system optimization between the engine and battery efficiencies, leading to the best fuel economy.
  • Keywords
    automobiles; battery powered vehicles; fuel economy; hybrid electric vehicles; internal combustion engines; optimisation; power control; thermostats; ADVISOR; backward simulations; battery life; battery usage; equivalent fuel consumption control strategy; fuel economy; internal combustion engine; power follower control strategy; power loss; real-time supervisory control strategy; series hybrid electric bus; thermostat control strategy; total system optimization; Automotive engineering; Batteries; Environmental economics; Fuel economy; Hybrid electric vehicles; Internal combustion engines; Power generation economics; Power system economics; Supervisory control; Thermostats;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-2486-3
  • Electronic_ISBN
    978-1-4244-2487-0
  • Type

    conf

  • DOI
    10.1109/APPEEC.2009.4918038
  • Filename
    4918038