DocumentCode
2438454
Title
Modeling and Simulation of the Fuel Cell Air Supply System Based on Artificial Neural Network
Author
Huang, Liang ; Quan, Shuhai ; Xu, Huawei ; Wang, Qiong
Author_Institution
Coll. of Automobile Eng., Wuhan Univ. of Technol., Wuhan
Volume
2
fYear
2008
fDate
19-20 Dec. 2008
Firstpage
493
Lastpage
497
Abstract
The air supply system is a very important part of proton exchange membrane fuel cell (PEMFC) system, and it has a great impact on the dynamic performance of the fuel cell power system. In this paper, the air supply system model is established by mechanism modeling combining with neural network modeling. At the end of the paper, by comparing the operational results of the model with the experimental data, it is verified that the model is correct and effective.
Keywords
neural nets; power engineering computing; proton exchange membrane fuel cells; artificial neural network modeling; fuel cell air supply system; fuel cell power system; proton exchange membrane fuel cell system; Artificial neural networks; Biomembranes; Cathodes; Fuel cells; Neural networks; Power system dynamics; Power system modeling; Protons; Sensor systems; Vehicle dynamics; The air supply system; neural network; proton exchange membrane fuel cell (PEMFC) system;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3490-9
Type
conf
DOI
10.1109/PACIIA.2008.298
Filename
4756824
Link To Document