• DocumentCode
    1464939
  • Title

    Charge-Depleting Control Strategies and Fuel Optimization of Blended-Mode Plug-In Hybrid Electric Vehicles

  • Author

    Zhang, Bingzhan ; Mi, Chris Chunting ; Zhang, Mengyang

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Michigan-Dearborn, Dearborn, MI, USA
  • Volume
    60
  • Issue
    4
  • fYear
    2011
  • fDate
    5/1/2011 12:00:00 AM
  • Firstpage
    1516
  • Lastpage
    1525
  • Abstract
    This paper investigates the fuel consumption minimization problem of a blended-mode plug-in hybrid electric vehicle (PHEV). A simplified mathematical model of the PHEV was constructed to obtain optimal solutions for depleting the battery to a given final state of charge (SOC) under constant vehicle speed. An optimal power strategy was constructed from theoretical analysis and simulation for constant speed cases and then applied to typical drive-cycle simulations for a middle-size plug-in sport utility vehicle in the Urban Dynamometer Driving Schedule, the U.S. Environmental Protection Agency US06 (Supplemental Federal Test Procedure), and the CR-City drive cycles. Simulation results indicate that the proposed control strategy is more efficient than other strategies of interest. Only the electric system loss characteristics, vehicle power demand, total battery energy, and trip distance are needed to implement the proposed control strategy in a PHEV. It does not rely on the detailed trip information other than the total trip distance. Therefore, it is possible to implement the control strategy in real time if the total trip distance is known before the trip.
  • Keywords
    battery powered vehicles; hybrid electric vehicles; minimisation; CR-city drive cycle; PHEV; US; blended mode plugin hybrid electric vehicle; charge depleting control; drive cycle simulation; electric system loss characteristics; environmental protection agency; fuel consumption minimization; fuel optimization; middle size plugin sport utility vehicle; optimal power strategy; state of charge; urban dynamometer driving schedule; vehicle power demand; Batteries; Electric motors; Engines; Fuels; Hybrid electric vehicles; System-on-a-chip; Control strategy; fuel consumption; plug-in hybrid electric vehicles (PHEVs); theoretical analysis;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2011.2122313
  • Filename
    5723769