• DocumentCode
    3602697
  • Title

    Low-Cost PEM Fuel Cell Diagnosis Based on Power Converter Ripple With Hysteresis Control

  • Author

    Dotelli, Giovanni ; Ferrero, Roberto ; Stampino, Paola Gallo ; Latorrata, Saverio ; Toscani, Sergio

  • Author_Institution
    Dept. of Chem., Mater., & Chem. Eng., Politec. di Milano, Milan, Italy
  • Volume
    64
  • Issue
    11
  • fYear
    2015
  • Firstpage
    2900
  • Lastpage
    2907
  • Abstract
    This paper deals with a low-cost diagnostic technique for polymer electrolyte membrane (PEM) fuel cells (FCs), which exploits the ripple produced by power converters to monitor the equivalent ohmic resistance. While the available literature on this topic is focused on constant-frequency control of the power converter (such as pulsewidth modulation), this paper discusses the measurement issues that arise when hysteresis current control is employed for a dc/dc boost converter, which represents the simplest solution from the implementation point of view, and therefore particularly suitable for low-cost applications. The classic frequency-domain analysis for ohmic resistance identification, based on the Fourier transform, is compared with a time-domain analysis based on a simple identification algorithm, and a real-time implementation of the latter is presented. The experimental results are obtained on a single PEM FC, but the extension to FC stacks for commercial applications is also discussed.
  • Keywords
    DC-DC power convertors; Fourier transforms; electric current control; frequency control; frequency-domain analysis; power control; proton exchange membrane fuel cells; DC-DC boost converter; Fourier transform; PEM fuel cell diagnosis; constant-frequency control; equivalent ohmic resistance identification; frequency-domain analysis; hysteresis current control; polymer electrolyte membrane FC; power converter ripple; pulsewidth modulation; time-domain analysis; Equivalent circuits; Frequency measurement; Impedance; Impedance measurement; Resistance; Switches; Switching frequency; Diagnostics; fuel cell (FC); power converter; real-time processing; system identification; system identification.;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2015.2434093
  • Filename
    7115925