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Modeling and identification of a PEM fuel cell humidification system
Received:January 7,2008  Revised:January 16,2009
Keywords:Modelling  Identification  Neural networks  PEM fuel cell  Humidification system
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Xianrui DENG, Guoping LIU, George WANG, Min TAN Department of Computer, Tangshan Teachers 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 
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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.
Xianrui DENG, Guoping LIU, George WANG, Min TAN.Modeling and identification of a PEM fuel cell humidification system[J].Journal of Control Theory and Applications,2009,7(4):373~378.
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