Abstract
Fuel cell air compressors play a crucial role in proton exchange membrane fuel cell systems, and their performance has a direct impact on the stable operation and energy efficiency of the system. In practical applications, the air compressor of the fuel cell system will be affected by the frequency and amplitude of changes in the air load. To effectively solve this problem, this study proposes and evaluates the control algorithm of fuel cell air compressors considering the characteristics of air load. Firstly, a control model of the fuel cell air compressor system including air load and back pressure valve model is established. Secondly, the input–output feedback linearization (IOFL) theory is adopted to globally linearize the control model of the fuel cell air compressor system. Finally, the Q-axis current of the improved speed loop is generated through the feedback of the air state quantity to correct the output torque of the air compressor. The simulation results show that this method ensures the accuracy of the model while achieving precise control of the rotational speed, effectively improving the adaptability and dynamic response performance of the air compressor, and guaranteeing the stability and efficiency of the fuel cell system.
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