• DocumentCode
    1315236
  • Title

    Mechatronic design and control of hybrid electric vehicles

  • Author

    Baumann, Bernd M. ; Washington, Gregory ; Glenn, Bradley C. ; Rizzoni, Giorgio

  • Author_Institution
    Daimler-Chrysler Res. & Technol., Stuttgart, Germany
  • Volume
    5
  • Issue
    1
  • fYear
    2000
  • fDate
    3/1/2000 12:00:00 AM
  • Firstpage
    58
  • Lastpage
    72
  • Abstract
    The work in this paper presents techniques for design, development, and control of hybrid electric vehicles (HEV). Toward these ends, four issues are explored. First, the development of HEV is presented. This synopsis includes a novel definition of degree of hybridization for automotive vehicles. Second, a load-leveling vehicle operation strategy is developed. In order to accomplish the strategy, a fuzzy logic controller is proposed. Fuzzy logic control is chosen because of the need for a controller for a nonlinear, multidomain, and time-varying plant with multiple uncertainties. Third, a novel technique for system integration and component sizing is presented. Fourth, the system design and control strategy is both simulated and then implemented in an actual vehicle. The controller examined in this study increased the fuel economy of a conventional full-sized vehicle from 40 to 55.7 mi/h and increased the average efficiency over the Federal Urban Driving Schedule from 23% to 35.4%. The paper concludes with a discussion of the implications of intelligent control and mechatronic systems as they apply to automobiles
  • Keywords
    automobiles; control system synthesis; design engineering; electric vehicles; fuzzy control; intelligent control; mechatronics; nonlinear control systems; time-varying systems; uncertain systems; Federal Urban Driving Schedule; HEV; automobiles; automotive vehicles; fuzzy logic controller; hybrid electric vehicles; hybridization degree; intelligent control; load-leveling vehicle operation strategy; mechatronic control; mechatronic design; mechatronic systems; multiple uncertainties; nonlinear multidomain time-varying plant; Automobiles; Automotive engineering; Control system synthesis; Fuel economy; Fuzzy logic; Hybrid electric vehicles; Intelligent control; Mechatronics; Uncertainty; Vehicle driving;
  • fLanguage
    English
  • Journal_Title
    Mechatronics, IEEE/ASME Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4435
  • Type

    jour

  • DOI
    10.1109/3516.828590
  • Filename
    828590