Temperature-humidity Characteristics Modeling and Output Control Based on Adaptive Fuzzy Method for Proton Exchange Membrane Fuel Cell Stack

Abstract

Air-cooling proton exchange membrane fuel cell (PEMFC) possesses some advantages, such as simpler structure, lower energy consumption and so on, it has emerged as a potential application for the portable power source. PEMFC stack was used as the power supply of autonomous robots, and lots of experiments were designed to obtain the variation rules of optimal operation temperature and exhaust cycle with optimal output performance. Then, the temperature and humidity characteristic models based on adaptive fuzzy identification algorithm were established, and adaptive fuzzy control method was applied to design the controllers according to the load characteristic. Finally, the results show that the dynamic and stable performance of the control system is satisfying, and the optimal performance output can be obtained.