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
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;
Conference_Titel :
Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3490-9
DOI :
10.1109/PACIIA.2008.298
