A multivariable hybrid experimental model of a solid oxide fuel cell stack is developed in this paper. The model consists of an improved radial basis function (RBF) neural network model and a pressure-incremental model. The improved RBF model is built to predict the stack voltage with different temperatures and current density. Likewise, the pressure-incremental model is constructed to predict the stack voltage under various hydrogen, oxygen, and water partial pressures. We combine the two models together and make a powerful hybrid multivariable model that can predict the voltage under any current density, temperature, hydrogen, oxygen, and water partial pressure. The validity and accuracy of modeling are tested by simulations, and the simulation results show that it is feasible to build the hybrid multivariable experimental model.
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February 2009
This article was originally published in
Journal of Fuel Cell Science and Technology
Research Papers
A Hybrid Experimental Model of a Solid Oxide Fuel Cell Stack
Xiao-Juan Wu,
Xiao-Juan Wu
Institute of Fuel Cell, Department of Automation,
Shanghai Jiao Tong University
, Shanghai 200030, P.R.C.
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Xin-Jian Zhu,
Xin-Jian Zhu
Institute of Fuel Cell, Department of Automation,
Shanghai Jiao Tong University
, Shanghai 200030, P.R.C.
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Guang-Yi Cao,
Guang-Yi Cao
Institute of Fuel Cell, Department of Automation,
Shanghai Jiao Tong University
, Shanghai 200030, P.R.C.
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Heng-Yong Tu,
Heng-Yong Tu
Institute of Fuel Cell, Department of Automation,
Shanghai Jiao Tong University
, Shanghai 200030, P.R.C.
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Wan-Qi Hu
Wan-Qi Hu
Institute of Process Engineering,
Chinese Academy of Sciences
, Beijing 100080, P.R.C.
Search for other works by this author on:
Xiao-Juan Wu
Institute of Fuel Cell, Department of Automation,
Shanghai Jiao Tong University
, Shanghai 200030, P.R.C.
Xin-Jian Zhu
Institute of Fuel Cell, Department of Automation,
Shanghai Jiao Tong University
, Shanghai 200030, P.R.C.
Guang-Yi Cao
Institute of Fuel Cell, Department of Automation,
Shanghai Jiao Tong University
, Shanghai 200030, P.R.C.
Heng-Yong Tu
Institute of Fuel Cell, Department of Automation,
Shanghai Jiao Tong University
, Shanghai 200030, P.R.C.
Wan-Qi Hu
Institute of Process Engineering,
Chinese Academy of Sciences
, Beijing 100080, P.R.C.J. Fuel Cell Sci. Technol. Feb 2009, 6(1): 011013 (4 pages)
Published Online: November 7, 2008
Article history
Received:
May 11, 2007
Revised:
March 5, 2008
Published:
November 7, 2008
Citation
Wu, X., Zhu, X., Cao, G., Tu, H., and Hu, W. (November 7, 2008). "A Hybrid Experimental Model of a Solid Oxide Fuel Cell Stack." ASME. J. Fuel Cell Sci. Technol. February 2009; 6(1): 011013. https://doi.org/10.1115/1.2971125
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