• DocumentCode
    2994999
  • Title

    Power split control strategy for a series Hybrid Electric Vehicle using fuzzy logic

  • Author

    Liu, Xudong ; Wu, Yanping ; Duan, Jianmin

  • Author_Institution
    Coll. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing
  • fYear
    2008
  • fDate
    1-3 Sept. 2008
  • Firstpage
    481
  • Lastpage
    486
  • Abstract
    Hybrid electric vehicle (HEV) is considered as the most promising solution to energy crisis and urban air pollution. However, it is a complex electro-mechanical system which is difficult to construct an accurate mathematical model. Fuzzy logic seems to be appropriate for the HEV control problem. In this paper, a fuzzy logic control strategy (FLCS) is developed for a series hybrid electric vehicle designed for campus and gymnasium. Based on the state-of-charge (SOC) of the batteries and the power information, the power required by the vehicle is split between the engine/generator set and the batteries instantaneously by the FLCS. The SOC of the batteries can be maintained always at a high level and the engine can steadily work in its high efficiency area. A forward simulation model for the vehicle is established, and both off-line and real-time simulations are performed. Simulation results show that the FLCS can realize constant SOC control, and fuel consumption and emissions are also considered by the FLCS.
  • Keywords
    fuel cell vehicles; fuzzy control; hybrid electric vehicles; SOC control; batteries; engine/generator set; forward simulation model; fuel consumption; fuzzy logic control strategy; hybrid electric vehicle; power information; power split control strategy; state-of-charge; Air pollution; Batteries; Engines; Fuels; Fuzzy logic; Hybrid electric vehicles; Load flow; Mathematical model; Power generation; Vehicle driving; constant SOC control; control strategy; fuzzy logic; hybrid electric vehicle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-2502-0
  • Electronic_ISBN
    978-1-4244-2503-7
  • Type

    conf

  • DOI
    10.1109/ICAL.2008.4636199
  • Filename
    4636199