Journal
JOURNAL OF POWER SOURCES
Volume 271, Issue -, Pages 570-581Publisher
ELSEVIER
DOI: 10.1016/j.jpowsour.2014.07.157
Keywords
PEMFC; Fuzzy clustering; Fuzzy logic; EIS; Fault diagnosis
Funding
- Fuel Cells and Hydrogen Joint Technology Initiative [256673]
- Labex ACTION program [ANR-11-LABX-01-01]
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To improve the performance and lifetime of the low temperature polymer electrolyte membrane fuel cell (PEMFC) stack, water management is an important issue. This paper aims at developing an online diagnostic methodology with the capability of discriminating different degrees of flooding/drying inside the fuel cell stack. Electrochemical impedance spectroscopy (EIS) is utilized as a basis tool and a double-fuzzy method consisting of fuzzy clustering and fuzzy logic is developed to mine diagnostic rules from the experimental data automatically. Through online experimental verification, a high interpretability and computational efficiency of the proposed methodology can be achieved. (C) 2014 Elsevier B.V. All rights reserved.
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