• DocumentCode
    2858614
  • Title

    Hybrid powertrain control with a rapid prototyping research platform

  • Author

    Yu Wang ; Xingyong Song ; Zongxuan Sun

  • Author_Institution
    Dept. of Mech. Eng., Univ. of Minnesota, Twin Cities, MN, USA
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    997
  • Lastpage
    1002
  • Abstract
    As one of the most promising approaches for reducing automotive fuel consumption, hybrid powertrain has inspired extensive research efforts on system control and energy optimization. However, the time and cost of constructing or modifying a physical hybrid powertrain seriously affects the experimental investigation of the complicated system dynamics, so as to limit the development of the precise hybrid powertrain control and optimization. To provide an accurate and flexible hybrid powertrain emulation tool for developing the hybrid control methodologies, a rapid prototyping hybrid powertrain research platform, which employs a transient hydrostatic dynamometer to emulate the dynamics of various hybrid power sources and different hybrid architectures, is constructed. In this research platform, a three-level closed-loop control system is designed for realizing the hybrid powertrain emulation. With respect to the high/middle/low level systems, a suite of hybrid powertrain controllers including an adaptive driver model, an energy optimization strategy, a virtual hybrid torque controller and a dynamometer torque controller are designed and, further, their interactions are analyzed. Experimental results demonstrate that the proposed control system can achieve the precise emulation of the typical hybrid powertrain operation.
  • Keywords
    automotive components; closed loop systems; control engineering computing; dynamometers; mechanical engineering computing; power transmission (mechanical); rapid prototyping (industrial); torque control; adaptive driver model; automotive fuel consumption; dynamometer torque controller; energy optimization; energy optimization strategy; hybrid powertrain control; rapid prototyping research platform; system control; three-level closed-loop control system; Engines; Hybrid power systems; Loading; Mechanical power transmission; Torque; Vehicle dynamics; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2011
  • Conference_Location
    San Francisco, CA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-0080-4
  • Type

    conf

  • DOI
    10.1109/ACC.2011.5991490
  • Filename
    5991490