سال انتشار: ۱۳۹۱

محل انتشار: دومین کنفرانس بین المللی سالانه انرژی پاک

تعداد صفحات: ۷

نویسنده(ها):

Iman Soltani – MSc Student, Faculty of Engineering and Technology, Imam Khomeini International University
Abolfazl Alavi – MSc Student, Faculty of Engineering and Technology, Imam Khomeini International University
Mohammad Sarvi – Assistant Professor, Faculty of Engineering and Technology, Imam Khomeini International University
Navid Ghaffarzadeh – Assistant Professor, Faculty of Engineering and Technology, Imam Khomeini International University

چکیده:

In this paper a technique to identify Proton Exchange Membrane Fuel Cell (PEMFC)’s parameters using an optimization approach is proposed. The PEMFC is characterized by technological and empirical parameters and their identification is a hard and time wasting task if is intended to have precise simulation results in a wide range of operating conditions. The Particle Swarm Optimization (PSO) method is a powerful tool to identify the correct parameter value and used for fast and precise PSO parameter’s identification which is achieved by minimizing the difference between experimental and simulated result.