Dynamic Semiempirical PEMFC Model for Prognostics and Fault Diagnosis
| Autor: | Loic Boulon, Saad Khan, El Hasnaoui Abdennebi, Hussain Shareef, Mohsen Kandidayeni, Abbou Amine |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Materials science
General Computer Science 020209 energy Proton exchange membrane fuel cell 02 engineering and technology Atmospheric model Fault (power engineering) statistical analysis Control theory Fault diagnostics prognostics 0202 electrical engineering electronic engineering information engineering General Materials Science General Engineering 021001 nanoscience & nanotechnology Flooding (computer networking) 13. Climate action Prognostics Degradation (geology) PEMFC lcsh:Electrical engineering. Electronics. Nuclear engineering 0210 nano-technology optimization lcsh:TK1-9971 Voltage drop Voltage |
| Zdroj: | IEEE Access, Vol 9, Pp 10217-10227 (2021) |
| ISSN: | 2169-3536 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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