The article highlights the importance of hydrogen as a renewable energy source and the significance of fuel cells, particularly Proton Exchange Membrane Fuel Cells (PEMFC), in energy conversion. It discusses the critical role of the gas supply subsystem within PEMFCs, focusing on optimizing airflow rates and pressures to enhance performance. Various studies and control strategies are explored, such as advanced predictive control methods and fuzzy logic controllers, to improve the efficiency and stability of PEMFC systems. Researchers have proposed innovative approaches, including deep neural network learning and intelligent algorithms, to optimize the gas supply subsystem and achieve coordinated control of airflow and pressure. The article emphasizes the necessity of intelligent algorithms in overcoming the challenges posed by the complex and nonlinear nature of PEMFC systems, ultimately aiming to ensure better robustness, efficiency, and performance in fuel cell operations.