• DocumentCode
    3159533
  • Title

    Efficiency maximizing and charge sustaining supervisory control for series hybrid electric vehicles

  • Author

    Shabbir, Wassif ; Evangelou, Simos A.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Imperial Coll. London, London, UK
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    6327
  • Lastpage
    6332
  • Abstract
    A supervisory control system (SCS) that maximizes the overall powertrain efficiency of a series hybrid electric vehicle (HEV) is developed. A novel approach of formulating the overall power efficiency which considers the idling losses of the engine and also characterizes separately the charging and discharging efficiencies of the battery, is proposed. These features allow the mode of direct power transfer from engine to battery to be included in the optimization. In turn, this enables the formulation of an optimization problem with a charge-sustaining scheme for improved control. A dynamic model of a series HEV is used in the development and testing of the SCS. Simulations with standard driving cycles demonstrate the significant improvement in fuel economy and battery charge sustaining of the designed Efficiency Maximizing and Charge Sustaining Map (EMCSM) over a Thermostat control scheme.
  • Keywords
    SCADA systems; automobiles; hybrid electric vehicles; internal combustion engines; optimisation; power transmission (mechanical); primary cells; sustainable development; EMCSM design; HEV; SCS development; SCS testing; automotive industry; battery charge; battery charging efficiency; battery discharging efficiency; charge sustaining supervisory control; driving cycle; efficiency maximizing and charge sustaining map; engine idling loss; fuel economy; optimization problem; power efficiency; power transfer; powertrain efficiency; series hybrid electric vehicles; supervisory control system; Batteries; Engines; Ice; Mechanical power transmission; Power demand; System-on-a-chip; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-2065-8
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2012.6425829
  • Filename
    6425829