Predictive Maintenance of Proton-Exchange-Membrane Fuel Cells for Transportation Applications
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 a...
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MDPI AG
2025-06-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/11/2957 |
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| author | Gaultier Gibey Elodie Pahon Noureddine Zerhouni Daniel Hissel |
| author_facet | Gaultier Gibey Elodie Pahon Noureddine Zerhouni Daniel Hissel |
| author_sort | Gaultier Gibey |
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| description | 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. |
| format | Article |
| id | doaj-art-de55e44c3d5d4727a1d2dfc7abc1f08b |
| institution | OA Journals |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-de55e44c3d5d4727a1d2dfc7abc1f08b2025-08-20T02:23:08ZengMDPI AGEnergies1996-10732025-06-011811295710.3390/en18112957Predictive Maintenance of Proton-Exchange-Membrane Fuel Cells for Transportation ApplicationsGaultier Gibey0Elodie Pahon1Noureddine Zerhouni2Daniel Hissel3Université Marie et Louis Pasteur, UTBM, SupMicroTech-ENSMM, CNRS, Institut FEMTO-ST, FCLAB, 90000 Belfort, FranceUniversité Marie et Louis Pasteur, UTBM, SupMicroTech-ENSMM, CNRS, Institut FEMTO-ST, FCLAB, 90000 Belfort, FranceUniversité Marie et Louis Pasteur, UTBM, SupMicroTech-ENSMM, CNRS, Institut FEMTO-ST, FCLAB, 90000 Belfort, FranceUniversité Marie et Louis Pasteur, UTBM, SupMicroTech-ENSMM, CNRS, Institut FEMTO-ST, FCLAB, 90000 Belfort, FranceProton-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.https://www.mdpi.com/1996-1073/18/11/2957PEMFC prognosticspredictive maintenancePEMFC overall SOH estimationPEMFC overall RUL predictionmaintenance scheduling optimization |
| spellingShingle | Gaultier Gibey Elodie Pahon Noureddine Zerhouni Daniel Hissel Predictive Maintenance of Proton-Exchange-Membrane Fuel Cells for Transportation Applications Energies PEMFC prognostics predictive maintenance PEMFC overall SOH estimation PEMFC overall RUL prediction maintenance scheduling optimization |
| title | Predictive Maintenance of Proton-Exchange-Membrane Fuel Cells for Transportation Applications |
| title_full | Predictive Maintenance of Proton-Exchange-Membrane Fuel Cells for Transportation Applications |
| title_fullStr | Predictive Maintenance of Proton-Exchange-Membrane Fuel Cells for Transportation Applications |
| title_full_unstemmed | Predictive Maintenance of Proton-Exchange-Membrane Fuel Cells for Transportation Applications |
| title_short | Predictive Maintenance of Proton-Exchange-Membrane Fuel Cells for Transportation Applications |
| title_sort | predictive maintenance of proton exchange membrane fuel cells for transportation applications |
| topic | PEMFC prognostics predictive maintenance PEMFC overall SOH estimation PEMFC overall RUL prediction maintenance scheduling optimization |
| url | https://www.mdpi.com/1996-1073/18/11/2957 |
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