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Proton exchange membrane fuel cells modeling based on artificial neural networks
引用本文:YudongTian XinjianZhu GuangyiCao. Proton exchange membrane fuel cells modeling based on artificial neural networks[J]. 北京科技大学学报(英文版), 2005, 12(1): 72-77
作者姓名:YudongTian XinjianZhu GuangyiCao
作者单位:FuelCellResearchInstitute,ShanghaiJiaotongUniversity,Shanghai200030,China
基金项目:国家高技术研究发展计划(863计划) 
摘    要:To understand the complexity of the mathematical models of a proton exchange membrane fuel cell (PEMFC) and their shortage of practical PEMFC control, the PEMFC complex mechanism and the existing PEMFC models are analyzed, and artificial neural networks based PEMFC modeling is advanced. The structure, algorithm, training and simulation of PEMFC modeling based on improved BP networks are given out 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 for PEMFC real-time control.

关 键 词:离子交换薄膜 燃料电池 人造神经网络系统 数学模拟技术

Proton exchange membrane fuel cells modeling based on artificial neural networks
Yudong Tian,Xinjian Zhu,Guangyi CAO. Proton exchange membrane fuel cells modeling based on artificial neural networks[J]. Journal of University of Science and Technology Beijing, 2005, 12(1): 72-77
Authors:Yudong Tian  Xinjian Zhu  Guangyi CAO
Abstract:To understand the complexity of the mathematical models of a proton exchange membrane fuel cell (PEMFC) and their shortage of practical PEMFC control, the PEMFC complex mechanism and the existing PEMFC models are analyzed, and artificial neural networks based PEMFC modeling is advanced. The structure, algorithm, training and simulation of PEMFC modeling based on improved BP networks are given out 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 for PEMFC real-time control.
Keywords:fuel cells  proton exchange membrane  artificial neural networks  improved BP algorithm  modeling
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