Proton exchange membrane fuel cells modeling based on artificial neural networks

作     者：YudongTian XinjianZhu GuangyiCao 

作者机构：FuelCellResearchInstituteShanghaiJiaotongUniversityShanghai200030China 

出 版 物：《Journal of University of Science and Technology Beijing》 (北京科技大学学报（英文版）)

年 卷 期：2005年第12卷第1期

页      面：72-77页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 

基　　金：Thisworkwasfinanciallysupportedby863HighTechnologyR&DProjectofChina(No.2002AA217020) 

主　　题：fuel cells proton exchange membrane artificial neural networks improved BP algorithm modeling 

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.