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In recent years, many researchers in the field of electric vehicles have concentrated their efforts on improving the performance of electric power supplies. Hydrogen has emerged as one of the most promising solutions, making the study of the air supply system a critical factor in enhancing the efficiency of Proton Exchange Membrane Fuel Cells (PEMFC). In this paper, we propose a fractional-order PI (FOPI) controller to regulate the air compressor driven by a DC motor. The main goal of this study is to develop an optimized air supply system for PEMFCs by implementing a FOPI controller. This approach aims to improve energy efficiency and performance in electric vehicles, ultimately contributing to the advancement of sustainable transportation solutions. This is directly related to the vehicle’s power demand. Simulation results obtained using Matlab/Simulink demonstrate the feasibility and reliability of the proposed control system.

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Control of Air Supply System in PEMFC for Electric Vehicles

  • 会议论文

  • 发表日期：

    2026年

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  • Salim Djahfa,
  • Yassine Beddiaf,
  • Daoud Rezzak,
  • Romaissa Hamdi,
  • Hassina Slimani,
  • Ouahiba Chouhal,
  • Rafik Mahdaoui

摘要

In recent years, many researchers in the field of electric vehicles have concentrated their efforts on improving the performance of electric power supplies. Hydrogen has emerged as one of the most promising solutions, making the study of the air supply system a critical factor in enhancing the efficiency of Proton Exchange Membrane Fuel Cells (PEMFC). In this paper, we propose a fractional-order PI (FOPI) controller to regulate the air compressor driven by a DC motor. The main goal of this study is to develop an optimized air supply system for PEMFCs by implementing a FOPI controller. This approach aims to improve energy efficiency and performance in electric vehicles, ultimately contributing to the advancement of sustainable transportation solutions. This is directly related to the vehicle’s power demand. Simulation results obtained using Matlab/Simulink demonstrate the feasibility and reliability of the proposed control system.