| Environmental and Energy Engineering |
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| New hybrid model of proton exchange membrane fuel cell |
| WANG Rui-min, CAO Guang-yi, ZHU Xin-jian |
| Institute of Fuel Cell, Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China |
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Abstract Model and simulation are good tools for design optimization of fuel cell systems. This paper proposes a new hybrid model of proton exchange membrane fuel cell (PEMFC). The hybrid model includes physical component and black-box component. The physical component represents the well-known part of PEMFC, while artificial neural network (ANN) component estimates the poorly known part of PEMFC. The ANN model can compensate the performance of the physical model. This hybrid model is implemented on Matlab/Simulink software. The hybrid model shows better accuracy than that of the physical model and ANN model. Simulation results suggest that the hybrid model can be used as a suitable and accurate model for PEMFC.
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Received: 20 April 2006
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