Design optimal temperature control system based on effective informed adaptive particle swarm optimization for proton exchange membrane fuel cell

Abstract

A proton exchange membrane fuel cell (PEMFC) is applied as dependable power source. According to the experiments data, the influence of PEMFC operating temperature on its output performance is analyzed. An optimum operation temperature trajectory is achieved by a means of effective informed adaptive particle swarm optimization algorithm (EIA-PSO) with better equilibrium characteristic between global search and local search. Furthermore, a PID controller is utilized for design of a PEMFC control system based on the characteristic of optimal operation temperature. It is verified that EIA-PSO can make the reference governor fit the optimum operation temperature trace with higher precision. According to the experimental testing of stability and track ability, it is realized that the optimum operation temperature trace with the condition of various loads can be tracked by employing proposed control system so that the optimal output performance of PEMFC can be completed. Therefore, the proposed control system will make significant influence on designing the real-time temperature control system of PEMFC.