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Received:January 07, 2008Revised:January 16, 2009 |
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Modeling and identification of a PEM fuel cell humidification system |
Xianrui DENG, Guoping LIU, George WANG, Min TAN |
(Department of Computer, Tangshan Teacher’s College, Tangshan Hebei 063000, China;Lab of Complex Systems and Intelligence Science, Chinese Academy of Sciences, Beijing 100080, China;School of Electronics, University of Glamorgan, Pontypridd CF37 1DL, UK;National Research council, Vancouver, Canada) |
Abstract: |
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. |
Key words: Modelling Identification Neural networks PEM fuel cell Humidification system |