• DocumentCode
    574325
  • Title

    Benefit of route recognition in energy management of plug-in hybrid electric vehicles

  • Author

    Larsson, Viktor ; Johannesson, Lars ; Egardt, Bo ; Lassson, A.

  • Author_Institution
    Dept. of Signals & Syst., Chalmers Univ. of Technol., Gothenburg, Sweden
  • fYear
    2012
  • fDate
    27-29 June 2012
  • Firstpage
    1314
  • Lastpage
    1320
  • Abstract
    This paper investigates the benefit of an energy management system that autonomously can recognize when a plug-in hybrid electric vehicle is driven along known commuting routes. The presented route recognition algorithm compares the GPS trajectory of the ongoing trip with stored commuting routes using the well known cross-correlation operation. If a route is recognized the energy management system switches from a charge depleting charge sustaining discharge strategy to a strategy where the battery discharge rate is adapted to the length of the recognized route, thereby decreasing the average discharge current and the resistive losses. The proposed system is evaluated using simulations on one month of logged commuter driving data. The results for an energy management system based on the equivalent consumption minimization strategy indicate an overall fuel cost reduction of 1.5% compared to an system that only utilize a charge depleting charge sustaining strategy.
  • Keywords
    battery powered vehicles; energy management systems; hybrid electric vehicles; GPS trajectory; battery discharge rate; commuting routes; discharge strategy; energy management system switches; equivalent consumption minimization strategy; fuel cost reduction; logged commuter driving data; plug-in hybrid electric vehicles; resistive losses; route recognition algorithm; Batteries; Energy management; Fuels; Ice; System-on-a-chip; Trajectory; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2012
  • Conference_Location
    Montreal, QC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-1095-7
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2012.6314910
  • Filename
    6314910