• DocumentCode
    137035
  • Title

    Real-time control for a parallel hybrid electric vehicle based on Pontryagin´s Minimum Principle

  • Author

    Teng Liu ; Yuan Zou ; De-xing Liu ; Feng-chun Sun

  • Author_Institution
    Nat. Eng. Lab. for Electr. Vehicles, Beijing Inst. of Technol., Beijing, China
  • fYear
    2014
  • fDate
    Aug. 31 2014-Sept. 3 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A heavy-duty parallel hybrid electric vehicle (HEV) is modeled first, together with dynamic equations of subsystem components. The HEV energy management problem was cast into an optimal control problem since its objective is to minimize fuel consumption while maintaining the state-of-charge of the battery within reasonable bouds. The Pontryagin´s Minimum Principle (PMP)-based optimal algorithm is applied to solve the optimal control problem. A causal optimal strategy with a simple proportional-integral (PI)-control based on PMP is put forward, which can realize real-time control for HEV. The solutions of the causal optimal strategy are found to be very close to the global optimal solutions when tuning with the appropriate co-states.
  • Keywords
    PI control; energy management systems; hybrid electric vehicles; maximum principle; real-time systems; HEV energy management problem; PI-control; PMP-based optimal algorithm; Pontryagin minimum principle; causal optimal strategy; dynamic equations; fuel consumption; global optimal solutions; heavy-duty parallel hybrid electric vehicle; optimal control problem; proportional-integral control; real-time control; state-of-charge; subsystem components; Batteries; Energy management; Engines; Fuels; Hybrid electric vehicles; Optimal control; control optimization; hybrid electric vehicle; pontryagin´s minimum principle; real-time control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-4240-4
  • Type

    conf

  • DOI
    10.1109/ITEC-AP.2014.6941257
  • Filename
    6941257