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

Gaultier Gibey (), Elodie Pahon, Noureddine Zerhouni and Daniel Hissel
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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

Energies, 2025, vol. 18, issue 11, 1-16

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.

Keywords: PEMFC prognostics; predictive maintenance; PEMFC overall SOH estimation; PEMFC overall RUL prediction; maintenance scheduling optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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