RULE-BASED MAMDANI-TYPE FUZZY MODELING OF PERFORMANCE PROTON EXCHANGE MEMBRANE FUEL CELL WITH CARBON NANO TUBE
Ata, Sadik and Dincer, Kevser
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Abstract
In this study, performance of proton exchange membrane (PEM) fuel cell
was experimentally investigated and modeled with Rule-Based Mamdani-Type
Fuzzy (RBMTF) modeling technique. Coating on the anode side of the
membrane of PEM fuel cell was accomplished with the spin method by using
carbon nanotube (CNT). In the experimental study, current and voltage
performances before and after coating have been recorded at 20 degrees C
and then are compared to each other. It was determined the increasing of
the performance of PEM fuel cell when coated with CNT. Input-output
parameters were described by RBMTF if-then rules. Numerical parameters
of input and output variables were fuzzificated as linguistic variables:
Very Very Low (L-1), Very Low (L-2), Low (L-3), Negative Medium (L-4),
Medium (L-5), High (L-7), Very High (L-8) and Very Very High (L-9)
linguistic classes. The comparison between experimental data and RBMTF
is done by using statistical methods like the coefficient of multiple
determination (R-2). The actual values and RBMTF results indicated that
RBMTF can be successfully used in PEM fuel cell. Performance tests of
the system were not done for 30 degrees C 50 degrees C and 70 degrees C.
These values were estimated with RMBTF.... Show more Show less