• DocumentCode
    574142
  • Title

    In-wheel motor electric ground vehicle energy management strategy for maximizing the travel distance

  • Author

    Xiaodong Li ; Yan Chen ; Junmin Wang

  • Author_Institution
    Sch. of Automotive Eng., Dalian Univ. of Technol., Dalian, China
  • fYear
    2012
  • fDate
    27-29 June 2012
  • Firstpage
    4993
  • Lastpage
    4998
  • Abstract
    This paper presents a terrain-information- and actuator-efficiency-incorporated, energy management strategy for maximizing the travel distance of in-wheel motor pure electric ground vehicles (EGVs), which may be necessary under certain circumstances such as maximizing the possibility of reaching a destination (e.g. a recharging station) before battery depletion. Minimization of energy consumption for a certain trip based on operating efficiencies of in-wheel motors and road terrain preview is necessary to maximize the total travel distances of an EGV. By employing the dynamic programming method, the in-wheel motor actuation torque distributions and optimally-varied vehicle velocity are simultaneously obtained to minimize the EGV energy consumption. Simulation results show that the proposed energy management strategy can greatly reduce the EGV energy consumption and thus maximize its travel distance before a recharging in comparison to a trivial equal-actuation strategy.
  • Keywords
    battery powered vehicles; dynamic programming; electric motors; energy management systems; EGV energy consumption; actuator-efficiency; dynamic programming method; in-wheel motor actuation torque distributions; in-wheel motor electric ground vehicle energy management strategy; optimally-varied vehicle velocity; recharging; terrain-information; travel distance; trivial equal-actuation strategy; Batteries; Energy consumption; Energy management; Roads; System-on-a-chip; Torque; 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.2012.6314726
  • Filename
    6314726