Modeling and identification of a PEM fuel cell humidification system

被引:0
|
作者
Deng X. [1 ]
Liu G. [2 ,3 ]
Wang G. [4 ]
Tan M. [2 ]
机构
[1] Department of Computer, Tangshan Teacher's College
[2] Lab of Complex Systems and Intelligence Science, Chinese Academy of Sciences
[3] School of Electronics, University of Glamorgan
[4] National Research council, Vancouver
来源
关键词
Humidification system; Identification; Modelling; Neural networks; PEM fuel cell;
D O I
10.1007/s11768-009-8003-8
中图分类号
学科分类号
摘要
A theoretical model of a humidifier of proton exchange membrane (PEM) fuel cell systems is developed and analyzed first in this paper. The model shows that there exists a strong nonlinearity in the system. Then, the system is identified using a wavelet networks method. To avoid the curse-of-dimensionality problem, a class of wavelet networks proposed by Billings is employed. The experimental data acquired from the test bench are used for identification. The one-step-ahead predictions and the five-step-ahead predictions are compared with the real measurements, respectively. It shows that the identified model can effectively describe the real system. © South China University of Technology, Academy of Mathematics and Systems Science, Chinese Academy of Sciences and Springer Berlin Heidelberg 2009.
引用
收藏
页码:373 / 378
页数:5
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