• DocumentCode
    788733
  • Title

    Current Management in a Hybrid Fuel Cell Power System: A Model-Predictive Control Approach

  • Author

    Vahidi, Ardalan ; Stefanopoulou, Anna ; Peng, Huei

  • Author_Institution
    Dept. of Mech. Eng., Clemson Univ., SC
  • Volume
    14
  • Issue
    6
  • fYear
    2006
  • Firstpage
    1047
  • Lastpage
    1057
  • Abstract
    The problem of oxygen starvation in fuel cells coupled with air compressor saturation limits, is addressed in this paper. We propose using a hybrid configuration, in which a bank of ultracapacitors supplements the polymer electrolyte membrane fuel cell during fast current transients. Our objective is to avoid fuel cell oxygen starvation, prevent air compressor surge and choke, and simultaneously match an arbitrary level of current demand. We formulate the distribution of current demand between the fuel cell and the bank of ultracapacitors in a model predictive control framework, which can handle multiple constraints of the hybrid system. Simulation results show that reactant deficit during sudden increase in stack current is reduced from 50% in stand-alone architecture to less than 1% in the hybrid configuration. In addition, the explicit constraint handling capability of the current management scheme prevents compressor surge and choke and maintains the state-of-charge of the ultracapacitor within feasible bounds
  • Keywords
    compressors; electric current control; predictive control; proton exchange membrane fuel cells; supercapacitors; air compressor saturation limits; compressor choke prevention; compressor surge prevention; current demand distribution; current management scheme; hybrid configuration; model predictive control framework; oxygen starvation; polymer electrolyte membrane fuel cell; ultracapacitor bank; Control system synthesis; Energy management; Fuel cells; Hybrid power systems; Power system control; Power system management; Power system modeling; Power system transients; Power systems; Supercapacitors; Compressor surge; fuel cell; hybrid vehicle; model predictive control; oxygen starvation; power management; ultracapacitor;
  • fLanguage
    English
  • Journal_Title
    Control Systems Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6536
  • Type

    jour

  • DOI
    10.1109/TCST.2006.880199
  • Filename
    1709929