Approximate Reasoning Techniques in the Control of States of Operation of the PEM Fuel Cell

被引：5
|
作者：
Agila, Wilton [1 ]
Rubio, Gomer [1 ]
Aviles-Cedeno, Jonathan [2 ]
Gonzalez, Leandro [3 ]
机构：
[1] ESPOL, Escuela Super Politecn Litoral, FIEC, CIDIS,Fac Engn Elect & Computat, Guayaquil, Ecuador
[2] ESPOL, Escuela Super Politecn Litoral, FIEC, Fac Engn Elect & Computat, Guayaquil, Ecuador
[3] Natl Hydrogen & Fuel Cell Technol Testing Ctr, Ciudad Real, Spain
来源：
2023 11TH INTERNATIONAL CONFERENCE ON SMART GRID, ICSMARTGRID | 2023年
关键词：
PEM Fuel Cell; Fuzzy Controller; Fuzzy Numbers; Expert Agent;
D O I：
10.1109/ICSMARTGRID58556.2023.10170778
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Among the different types of fuel cells, the proton-exchange membrane fuel cell (PEMFC) has attracted much interest as a power source for residential applications and electric vehicles. However, the development of new applications and the validation of new components of PEMFC require the characterization of their electrical response under certain conditions, both of operation (state variables) and power to be supplied (variation of electrical load), as well as the humidity degree of the membrane (operating state of the PEMFC considered Normal). Under this context, in this study, a set of specific processes based on approximate reasoning techniques have been designed and implemented for the dynamic control of the humidification of the polymeric membrane.
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收藏
页数：5
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