Modeling and Simulation of Proton Exchange Membrane Fuel Cells Based on Internal Recurrent Neural Networks
The proton exchange membrane fuel cell (PEMFC) is a new research field, and PEMFC modeling is a key of PEMFC research and development. However, PEMFC mechanism models are too complicated to be suitable for PEMFC practical system control. To aim at the problem, the PEMFC mechanism is analyzed, and then PEMFC modeling applied artificial neural networks is advanced. The structure, algorithm, training and simulation of PEMFC modeling based on internal recurrent neural networks (IRNN) are presented in detail. The computer simulation and conducted experiment verify that this model is fast and accurate, and can be used as a suitable operational model of PEMFC real-time control.
Weiping Yang Yudong Tian
Department of Electrical Engineering Shanghai Dian Ji University Shanghai, 200240, P. R. China
国际会议
南宁
英文
2007-07-20（万方平台首次上网日期，不代表论文的发表时间）