Performance Simulation of Proton Exchange Membrane Fuel Cell System Based on Fuzzy Logic

Abstract

Proton exchange membrane fuel cell (PEMFC) is a new type of fuel cell developed after alkaline fuel cell, phosphoric acid fuel cell, molten carbonate fuel cell and solid oxide fuel cell. In this paper, the dynamic parameter model of PEMFC electric reactor is established based on the experience of proton exchange membrane fuel cells. On the basis of this parameter model, the intelligent method is used to identify the system, and the identification model of voltage and temperature is established. Finally, based on fuzzy logic, the operating performance of the battery system was simulated, a comprehensive PEMFC simulation model was established, a PEMFC voltage identification model was established, and a PEMFC temperature identification model was established by using fuzzy logic network, so as to reduce the fluctuation range as much as possible to reach the research purpose.