Energy consumption reduction of a PEM fuel cell motor-compressor group thanks to efficient control laws

This paper deals with the energy optimization of an embedded fuel cell generator. To reach this aim, experimentally validated models of a low power 5 kW proton exchange membrane fuel cell (PEMFC) and its most power hungry ancillary (motor-compressor group) are described. All simulation results have been performed using Matlab/Simulink® environment. Moreover, a control strategy of the air supply circuit integrated in an embedded fuel cell system is proposed. The air flow control of the air supply circuit is built around a fuzzy PD + I controller and for the air supply set point determination, a fuzzy supervision is proposed. The parameters of this fuzzy supervision have been optimized thanks to particle swarm optimization (PSO) method.