Modelling of the Performance of PEMFC Based on Fuzzy Identification

Abstract

The goal of improving the performance of proton exchange membrane fuel cell (PEMFC) has attracted a great deal of attention. Many performance models of PEMFC have been developed. The aim of this paper is to introduce a novel modelling method for the performance of PEMFC based on fuzzy model identification and to present a simple and accurate T-S model of the performance of PEMFC. In this modelling method, only the experimental data of operating parameters, such as cell/stack temperature, pressure and humidity of reactant gas, and external load, are required; other property parameters that are difficult to obtain are not needed. Thus the modelling process is simplified. By contrast with the models proposed in the literature, the T-S model of the performance of PEMFC is simple and accurate. In addition, this model can be conveniently applied to control of PEMFC system.

Key Words:

• Fuzzy model identification
• proton exchange membrane fuel cell (PEMFC)
• T-S model

Additional information

Notes on contributors

Q.L. Shao

Shao Qing Long received his B.Sc. and M.Sc. degrees in electrical engineering from Taiyuan University of Technology, Taiyuan, China, in 1986 and 1992 respectively. He obtained his Ph.D. from Shanghai Jiaotong University in 2005. He is currently an associate professor in the Department of Mechanical Engineering, Shenzhen Institute of Information Technology, Shenzhen, Guangdong, China. His research interests include fuzzy control, robust control, and fuel cell system control.

G.Y. Cao

Cao Guang Yi is currently a professor in Institute of Fuel Cell in Shanghai Jiaotong University. He researches fuel fells and their control.

X.J. Zhu

Zhu Xin Jian obtained his Ph.D. in the Shanghai Jiaotong University in 1995. Now, he is a professor of Shanghai Jiaotong University and the director of Fuel Cell Institute of Shanghai Jiaotong University. His researches include the analysis and the control of the complicated system, the design and control of fuel cell generates electricity system and new energy applications.