• DocumentCode
    3358937
  • Title

    Electrical drive train modeling for model predictive control of DC-DC converters in fuel cell vehicles

  • Author

    Sagert, Conrad ; Bender, Frank A. ; Sawodny, Oliver

  • Author_Institution
    Insitute for Syst. Dynamics, Univ. of Stuttgart, Stuttgart, Germany
  • fYear
    2015
  • fDate
    1-3 July 2015
  • Firstpage
    4333
  • Lastpage
    4338
  • Abstract
    High-power DC-DC converters are key components in the drive train of hybrid fuel cell vehicles as they control the power flow between fuel cell and battery. Due to the complexity of the drive train interfacing with the converter and the wide range of operating conditions, control design for such converters requires a detailed analysis of the drive train and its various dynamics. In this work, an analytical model of the electrical drive train will be set forth. After validation against a circuit simulation, the model will be used for derivation of a Model Predictive Control scheme.
  • Keywords
    DC-DC power convertors; electric drives; fuel cell vehicles; hybrid electric vehicles; load flow control; predictive control; DC-DC converter; electrical drive train modeling; hybrid fuel cell vehicle; model predictive control scheme; power flow control; Analytical models; Batteries; DC-DC power converters; Frequency measurement; Fuel cells; Induction motors; Integrated circuit modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2015
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4799-8685-9
  • Type

    conf

  • DOI
    10.1109/ACC.2015.7172010
  • Filename
    7172010