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Experimental study of water management of a three-cell PEM fuel cell stack using adaptive neuro-fuzzy approximation and fuzzy control

Khanafari, A ; Shaif University of Technology | 2024

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  1. Type of Document: Article
  2. DOI: 10.1016/j.ijhydene.2023.09.192
  3. Publisher: Elsevier , 2024
  4. Abstract:
  5. Day by day, polymer electrolyte membrane fuel cell (PEMFC) finds a growing place as a clean energy converter. Identifying and controlling operational defects can increase its useful life and reliability. The present study addresses a countermeasure against stack flooding and dehydration as a continuation of the current authors' previous work. Three mechanisms (i.e., controlling the stack temperature and flow of both sides) applying fuzzy logic manage stack moisture content. Three fuzzy controllers use voltage and cathod&anode pressure-drops dimensionless deviations from ANFIS models using the previous study calculated thresholds (0.0092 bar, 0.0047 bar, and 0.0735 V). Using the method reduces the cathode pressure drop positive deviation (a characteristic of flooding) by 61% and reduces the voltage deviation by 48% and 47% in deliberated flooding and dehydration experiments, respectively. In other words, using the method returns the status closer to healthy conditions, which indicates successful PEMFC water management. © 2023 Hydrogen Energy Publications LLC
  6. Keywords:
  7. Adaptive neuro-fuzzy ; Dehydration ; Flooding ; Fuzzy ; Polymer electrolyte membrane fuel cell (PEMFC) ; Decision making ; Dehydration ; Drops ; Electrodes ; Floods ; Fuzzy control
  8. Source: International Journal of Hydrogen Energy ; Volume 50 , 2024 , Pages 931-944 ; 03603199 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S0360319923048115