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Flooding and dehydration diagnosis in a polymer electrolyte membrane fuel cell stack using an experimental adaptive neuro-fuzzy inference system

Khanafari, A ; Sharif University of Technology | 2022

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  1. Type of Document: Article
  2. DOI: 10.1016/j.ijhydene.2022.08.063
  3. Publisher: Elsevier Ltd , 2022
  4. Abstract:
  5. Today the need for fault diagnosis in polymer electrolyte membrane fuel cells (PEMFCs) is felt more than ever to increase the useful life and durability of the cell. The present study proposes an indirect in-situ experimental-based algorithm for diagnosing the moisture content issues in a three-cell stack. Three adaptive neuro-fuzzy inference systems (ANFIS) approximate the system outputs (cells voltages, cathodic and anodic pressure drop) in normal conditions. The values of Pearson's correlation coefficients (0.998, 0.983, and 0.995 for outputs, respectively) show the high quality of the modeling. In unknown operating conditions, the residuals of experimental and ANFIS values are compared with obtained deviation thresholds (0.0735 V, 0.0092 bar, and 0.0047 bar for the outputs, respectively) to determine the cathode/anode flooding, membrane dehydration, or normal status. This method is helpful in commercial applications for diagnosing more than 50% of PEMFC faults because it uses accessible parameters and has low-processing demands. © 2022 Hydrogen Energy Publications LLC
  6. Keywords:
  7. ANFIS ; Anode ; Cathode ; Flooding ; PEMFC ; Correlation methods ; Dehydration ; Electroencephalography ; Floods ; Fuzzy inference ; Fuzzy neural networks ; Fuzzy systems ; Polyelectrolytes ; Proton exchange membrane fuel cells (PEMFC) ; Solid electrolytes ; Adaptive neuro-fuzzy inference ; Adaptive neuro-fuzzy inference system ; Cell-be ; Cell/B.E ; Cell/BE ; Faults diagnosis ; Floodings ; Fuel cell stack ; Neuro-fuzzy inference systems ; Useful life ; Cathodes
  8. Source: International Journal of Hydrogen Energy ; Volume 47, Issue 81 , 2022 , Pages 34628-34639 ; 03603199 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S0360319922035637