Abstract
The molten carbonate fuel cell (MCFC) is an important research field of the new energy generation equipment, and is a difficulty in the research field of high-temperature fuel cells at present. To aim at the MCFC modeling problem, the MCFC electrochemical mechanism process was analyzed firstly, then the MCFC modeling applied neural computing is advanced. Thirdly, the structure, algorithm and simulation of MCFC modeling based on feedback neural networks were presented in detail. Finally, the computer simulation and conducted experiment verified that this model was fast and accurate, and can be as a suitable operational model of MCFC real-time control.
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