IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i11p2957-d1671680.html
   My bibliography  Save this article

Predictive Maintenance of Proton-Exchange-Membrane Fuel Cells for Transportation Applications

Author

Listed:
  • Gaultier Gibey

    (Université Marie et Louis Pasteur, UTBM, SupMicroTech-ENSMM, CNRS, Institut FEMTO-ST, FCLAB, 90000 Belfort, France)

  • Elodie Pahon

    (Université Marie et Louis Pasteur, UTBM, SupMicroTech-ENSMM, CNRS, Institut FEMTO-ST, FCLAB, 90000 Belfort, France)

  • Noureddine Zerhouni

    (Université Marie et Louis Pasteur, UTBM, SupMicroTech-ENSMM, CNRS, Institut FEMTO-ST, FCLAB, 90000 Belfort, France)

  • Daniel Hissel

    (Université Marie et Louis Pasteur, UTBM, SupMicroTech-ENSMM, CNRS, Institut FEMTO-ST, FCLAB, 90000 Belfort, France
    Institut Universitaire de France (IUF), 103 Boulevard Saint-Michel, 75005 Paris, France)

Abstract

Proton-Exchange-Membrane Fuel Cell (PEMFC) systems are proving to be a promising solution for decarbonizing various means of transport, especially heavy ones. However, their reliability, availability, performance, durability, safety and operating costs are not yet fully competitive with industrial and commercial systems (actual systems). Predictive maintenance (PrM) is proving to be one of the most promising solutions for improving these critical points. In this paper, several PrM approaches will be developed considering the constraints of actual systems. The first approach involves estimating the overall State of Health (SOH) of a PEMFC operating under a dynamic load according to an FC-DLC (Fuel Cell Dynamic Load Cycle) profile, using a Health Indicator (HI). This section will also discuss the relevance of current End-of-Life (EoL) indicators by putting the performance, safety and economic profitability of PEMFC systems into perspective. The second approach involves predicting the voltage of the PEMFC while operating under this same profile in order to estimate its overall Remaining Useful Life (RUL). Finally, the last approach proposed will make it possible to estimate the time when it will be worthwhile, or even economically necessary, to replace a degraded PEMFC with a new one.

Suggested Citation

  • Gaultier Gibey & Elodie Pahon & Noureddine Zerhouni & Daniel Hissel, 2025. "Predictive Maintenance of Proton-Exchange-Membrane Fuel Cells for Transportation Applications," Energies, MDPI, vol. 18(11), pages 1-16, June.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:11:p:2957-:d:1671680
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/11/2957/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/11/2957/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:18:y:2025:i:11:p:2957-:d:1671680. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.