• DocumentCode
    1812331
  • Title

    Optimal control based power management in hybrid military vehicle

  • Author

    Lu, Boran ; Natarajan, Balasubramaniam ; Schulz, Noel

  • Author_Institution
    Dept. of ECE, Kansas State Univ., Manhattan, KS, USA
  • fYear
    2012
  • fDate
    4-8 March 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    With increasing costs for fuel and transportation logistics, there is a growing interest in improving fuel efficiency by employing hybrid drivetrain architecture and effective power management of multiple power sources (engine and battery). However, current ruled-based power management strategies fail to meet the rapidly increasing needs of military vehicles, including: (1) better fuel efficiency and (2) maintaining battery state of charge (SOC) for power offloading applications. In this paper, we propose an optimal control theory based power management solution such that: (1) all traction needs are met; (2) power drawn from the engine for specific mission is minimized, and (3) a certain desired battery state of charge (SOC) is guaranteed for offloading power. Our proposed approach is based on tools from optimization and control theory. The proposed approach is validated using simulation of a mission specific profile and is compared with two other popular control strategies. The improvement in power efficiency and desired SOC level are demonstrated.
  • Keywords
    hybrid power systems; military vehicles; transportation; battery state of charge; current ruled-based power management strategies; fuel efficiency; hybrid drivetrain architecture; hybrid military vehicle; multiple power sources; optimal control; power offloading applications; transportation logistics; Batteries; Engines; Fuels; Generators; Optimal control; System-on-a-chip; Vehicles; Optimal control theory; Series hybrid electric military vehicle; fuel efficiency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Vehicle Conference (IEVC), 2012 IEEE International
  • Conference_Location
    Greenville, SC
  • Print_ISBN
    978-1-4673-1562-3
  • Type

    conf

  • DOI
    10.1109/IEVC.2012.6183156
  • Filename
    6183156