Dynamic Semiempirical PEMFC Model for Prognostics and Fault Diagnosis
This article introduces a dynamic semiempirical model that predicts the degradation of a proton exchange membrane fuel cell (PEMFC) by introducing time-based terms in the model. The concentration voltage drop is calculated using a new statistical equation based on the load current and working time,...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9316245/ |
| _version_ | 1818921903896657920 |
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| author | Saad Saleem Khan Hussain Shareef Mohsen Kandidayeni Loic Boulon Abbou Amine El Hasnaoui Abdennebi |
| author_facet | Saad Saleem Khan Hussain Shareef Mohsen Kandidayeni Loic Boulon Abbou Amine El Hasnaoui Abdennebi |
| author_sort | Saad Saleem Khan |
| collection | DOAJ |
| description | This article introduces a dynamic semiempirical model that predicts the degradation of a proton exchange membrane fuel cell (PEMFC) by introducing time-based terms in the model. The concentration voltage drop is calculated using a new statistical equation based on the load current and working time, whereas the ohmic and activation voltage drops are updated using time-based equations borrowed from the existing literature. Furthermore, the developed model calculates the membrane water content in the PEMFC, which indicates the membrane hydration state and indirectly diagnoses the flooding and drying faults. Moreover, the model parameters are optimized using a recently developed butterfly optimization algorithm. The model is simple and has a short runtime; therefore, it is suitable for monitoring. Voltage degradation under various loading currents was observed for long working hours. The obtained results indicate a significant degradation in PEMFC performance. Therefore, the proposed model is also useful for prognostics and fault diagnosis. |
| first_indexed | 2024-12-20T01:45:03Z |
| format | Article |
| id | doaj.art-8620f1aea55146b3b1c99f7018878d89 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-20T01:45:03Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-8620f1aea55146b3b1c99f7018878d892022-12-21T19:57:48ZengIEEEIEEE Access2169-35362021-01-019102171022710.1109/ACCESS.2021.30495289316245Dynamic Semiempirical PEMFC Model for Prognostics and Fault DiagnosisSaad Saleem Khan0https://orcid.org/0000-0002-8340-6035Hussain Shareef1https://orcid.org/0000-0001-7708-6904Mohsen Kandidayeni2https://orcid.org/0000-0003-4574-2377Loic Boulon3Abbou Amine4El Hasnaoui Abdennebi5Department of Electrical Engineering, United Arab Emirates University, Al Ain, UAEDepartment of Electrical Engineering, United Arab Emirates University, Al Ain, UAEDepartment of Electrical Engineering and Computer Science, Hydrogen Research Institute, Université du Québec à Trois-Rivières, Trois-Rivières, QC, CanadaDepartment of Electrical Engineering and Computer Science, Hydrogen Research Institute, Université du Québec à Trois-Rivières, Trois-Rivières, QC, CanadaEngineering for Smart & Sustainable Systems Research Centre, Mohammadia School of Engineers, Agdal Rabat, MoroccoElectro Mechanics Department, Superior School of Mines, Agdal Rabat, MoroccoThis article introduces a dynamic semiempirical model that predicts the degradation of a proton exchange membrane fuel cell (PEMFC) by introducing time-based terms in the model. The concentration voltage drop is calculated using a new statistical equation based on the load current and working time, whereas the ohmic and activation voltage drops are updated using time-based equations borrowed from the existing literature. Furthermore, the developed model calculates the membrane water content in the PEMFC, which indicates the membrane hydration state and indirectly diagnoses the flooding and drying faults. Moreover, the model parameters are optimized using a recently developed butterfly optimization algorithm. The model is simple and has a short runtime; therefore, it is suitable for monitoring. Voltage degradation under various loading currents was observed for long working hours. The obtained results indicate a significant degradation in PEMFC performance. Therefore, the proposed model is also useful for prognostics and fault diagnosis.https://ieeexplore.ieee.org/document/9316245/Fault diagnosticsoptimizationPEMFCprognosticsstatistical analysis |
| spellingShingle | Saad Saleem Khan Hussain Shareef Mohsen Kandidayeni Loic Boulon Abbou Amine El Hasnaoui Abdennebi Dynamic Semiempirical PEMFC Model for Prognostics and Fault Diagnosis IEEE Access Fault diagnostics optimization PEMFC prognostics statistical analysis |
| title | Dynamic Semiempirical PEMFC Model for Prognostics and Fault Diagnosis |
| title_full | Dynamic Semiempirical PEMFC Model for Prognostics and Fault Diagnosis |
| title_fullStr | Dynamic Semiempirical PEMFC Model for Prognostics and Fault Diagnosis |
| title_full_unstemmed | Dynamic Semiempirical PEMFC Model for Prognostics and Fault Diagnosis |
| title_short | Dynamic Semiempirical PEMFC Model for Prognostics and Fault Diagnosis |
| title_sort | dynamic semiempirical pemfc model for prognostics and fault diagnosis |
| topic | Fault diagnostics optimization PEMFC prognostics statistical analysis |
| url | https://ieeexplore.ieee.org/document/9316245/ |
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