• DocumentCode
    2858908
  • Title

    Optimal design of power-split transmissions for hydraulic hybrid passenger vehicles

  • Author

    Kai Loon Cheong ; Li, P.Y. ; Chase, Thomas R.

  • Author_Institution
    Dept. of Mech. Eng., Univ. of Minnesota, Minneapolis, MN, USA
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    3295
  • Lastpage
    3300
  • Abstract
    Hydraulic hybrid vehicles are inherently power dense. Power-split or hydro-mechanical transmissions (HMT) have advantages over series and parallel architectures. In this paper, an approach for optimizing the configuration and sizing of a hydraulic hybrid power-split transmission is proposed. Instead of considering each mechanical configuration consisting of combinations of gear ratios, a generalized kinematic relation is used to avoid redundant computation. This captures different architectures such as input coupled, output coupled and compound configurations. Generic kinematic relations are shown to be mechanically realizable. Modal operation of the transmission is introduced to reduce energy loss. The Lagrange multiplier method for computing the optimal energy management control is shown to be computationally efficient for use in transmission design iterations. An optimal design case study indicates improvement in fuel economy and smaller component sizes for the compound and input coupled power-split configurations.
  • Keywords
    design engineering; gears; hybrid electric vehicles; kinematics; power transmission (mechanical); Hydraulic hybrid vehicles; Lagrange multiplier method; gear; generalized kinematic relation; hydraulic hybrid passenger vehicles; hydro-mechanical transmissions; mechanical configuration; modal operation; optimal design; power-split transmissions; Compounds; Computer architecture; Engines; Fuel economy; Gears; Kinematics; Vehicles; Hybrid vehicles; Lagrange multiplier; engine management; hydraulics; optimal control; power-split;
  • 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.2011.5991509
  • Filename
    5991509