• DocumentCode
    3526196
  • Title

    Identification and observation in the anode line of PEM fuel cell stacks

  • Author

    Kunusch, Cristian ; Moreno, Jaime A. ; Angulo, M.T.

  • Author_Institution
    Inst. de Robot. i Inf. Ind., UPC, Barcelona, Spain
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    1665
  • Lastpage
    1670
  • Abstract
    In this work, some potential identification/observation problems that arise in the anode line of a typical Polymer Electrolyte Membrane (PEM) fuel cell based system are highlighted and then solved. They involve estimating the hydrogen input flow at the stack anode and the water transport across the membrane. It is argued that estimating the membrane water transport is of special interest since it gives relevant information on the actual performance and state of the fuel cell. Both problems are solved by constructing robust observers and parameter identification algorithms based on the Generalized Super-Twisting Algorithm.
  • Keywords
    electrochemical electrodes; membranes; observers; parameter estimation; proton exchange membrane fuel cells; PEM fuel cell stacks; generalized super-twisting algorithm; hydrogen input flow estimation; membrane water transport estimation; observation problem; parameter identification algorithms; polymer electrolyte membrane fuel cell based system; robust observers; stack anode line; water transport; Anodes; Fuel cells; Hydrogen; Mathematical model; Observers; Sensors; Fuel cell; estimation; observer; sliding-modes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
  • Conference_Location
    Firenze
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-5714-2
  • Type

    conf

  • DOI
    10.1109/CDC.2013.6760121
  • Filename
    6760121