PEM Fuel Cell Modeling by Application of the Rough Sets Theory

The conversion of various forms of energy into electricity has been known for decades. As a basis for qualitative analysis, the application of the method based on the Rough Sets Theory (RST) was chosen. The created model contains rules in the If... Then form, which describe the influence of the valu...

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Bibliographic Details
Main Authors: Stjepanovic, Aleksandar, Stojcic, Mirko, Kostadinovic, Miroslav, Jausevac, Goran, Jotanovic, Gordana, Kuzmic, Goran
Format: Conference Proceeding
Language:English
Subjects:
Artificial Neural Network
Electric vehicles
Electrodes
FCEV
Fuel cells
Fuels
Model of PEM fuel cells
Nafion membrane
PEM fuel cells
Protons
Rough sets
Rough Sets Theory
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Summary:The conversion of various forms of energy into electricity has been known for decades. As a basis for qualitative analysis, the application of the method based on the Rough Sets Theory (RST) was chosen. The created model contains rules in the If... Then form, which describe the influence of the value of input parameters (attributes) on the output value (nafion_percent). One of the main parameters of the fuel cell is nafion_percent. The paper uses a dataset about Nafion 112 membrane standard tests and MEA (Membrane Electrode Assembly) activation tests of PEMFC (Proton Exchange Membrane Fuel Cells in various operation conditions. PEMFCs with optimal characteristics and a low failure rate are of great importance for Fuel Cell Electric Vehicles (FCEV).
ISSN:2767-9470
DOI:10.1109/INFOTEH57020.2023.10094050