MESSAI.iO

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A PEMFC modelling approach using Artificial Intelligence is presented, focusing on an 18w Polymer Electrolyte Membrane fuel cell's performance under different hydrogen pressure conditions.

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What they did

System
MFC

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Abstract

The chemical energy of a hydrogen-oxygen reaction is converted directly into dc electrical energy by fuel cells (FC). PEMFCs (Proton Exchange Membrane Fuel Cells) are a feasible alternative for electrical transportation and stationary applications. This paper presented a PEMFC modelling approach using Artificial Intelligence. The main objective of this research is to build a model of an 18w Polymer Electrolyte Membrane (PEM) fuel cell and test its performance under different hydrogen pressure conditions. The physical model of the 18W hydrogen fueled PEM fuel cell is designed and tested at BHEL R&D. Additionally, a method for predicting a PEMFC's operating temperature using the voltage and current measures is suggested and successfully tested. However, the proposed technique is validated using experimental data from an 18W fuel cell. The analytical data and testing procedures required for determining the parameter values used in the proposed model are specified.

Key findings

  • A physical model of the 18W hydrogen fueled PEM fuel cell is designed and tested at BHEL R&D.
  • A method for predicting a PEMFC's operating temperature using voltage and current measures is suggested and successfully tested.
  • The proposed technique is validated using experimental data from an 18W fuel cell.

Keywords

Proton exchange membrane fuel cellHydrogenElectrolyteFuel cellsNuclear engineeringHydrogen fuel

Identifiers

DOI
10.14447/jnmes.v25i1.a01
Journal
Journal of New Materials for Electrochemical Systems
Year
2022