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This paper presents a fuel cell emulator designed to replicate Proton Exchange Membrane Fuel Cells (PEM- FCs). The proposed emulator is based on an Adaptive Neuro-Fuzzy Inference System (ANFIS) model, trained using experimental data from the Nexa 1.2 kW fuel cell system. The control approach employs a cascade loop, integrating a fuzzy logic controller (FLC) to manage the outer loop and a proportional-integral (PI) controller to handle the inner loop, enhancing performance under varying load conditions. Moreover, for the power stage, a DC/DC buck converter has been included to ensure a stable power management. The obtained results show that the proposed emulator accurately mimics the Nexa™ 1.2 kW fuel cell’s behavior and making it a valuable tool for fuel cell research and development.

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ANFIS-Based Modeling of the Nexa™ 1.2 kW Fuel Cell Module for Enhanced PEMFC Emulation

  • 会议论文

  • 发表日期：

    2026年

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  • Soufiane Gahgouhi,
  • Aboubakeur Hadjaissa,
  • Abdelhamid Rabhi,
  • Mohammed Benmiloud,
  • Otmane Gahgouhi,
  • Khaled Ameur,
  • Mechri Kious,
  • Abdelkarim Chohra,
  • Nabil Abouchabana

摘要

This paper presents a fuel cell emulator designed to replicate Proton Exchange Membrane Fuel Cells (PEM- FCs). The proposed emulator is based on an Adaptive Neuro-Fuzzy Inference System (ANFIS) model, trained using experimental data from the Nexa 1.2 kW fuel cell system. The control approach employs a cascade loop, integrating a fuzzy logic controller (FLC) to manage the outer loop and a proportional-integral (PI) controller to handle the inner loop, enhancing performance under varying load conditions. Moreover, for the power stage, a DC/DC buck converter has been included to ensure a stable power management. The obtained results show that the proposed emulator accurately mimics the Nexa™ 1.2 kW fuel cell’s behavior and making it a valuable tool for fuel cell research and development.