A double-fuzzy diagnostic methodology dedicated to online fault diagnosis of PEMFC stacks
نویسندگان
چکیده
A double-fuzzy diagnostic methodology dedicated to online fault diagnosis of PEMFC stacks Zhixue ZHENG, Marie-Cécile PERA, Daniel HISSEL, Mohamed BECHERIF, Kréhi-serge AGBLI, Yongdong LI 1 FCLAB Research Federation, FR CNRS 3539, FEMTO-ST/Energy Department, UMR CNRS 6174, University of Franche-Comté, 90010 Belfort Cedex, France University of Technology of Belfort-Montbéliard, 90010 Belfort Cedex, France Department of Electrical Engineering, Tsinghua University, 100084 Beijing, China Email: [email protected] Abstract: 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.
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تاریخ انتشار 2014