Work

Proton Exchange Membrane Fuel Cells: An Effective Neural Fuzzy System for Optimal Power Tracking

Year: 2024

Type: article

Abstract: The revolutionary future of proton-exchanging membrane fuel cells (PEMFC) has recently garnered a great deal of excitement, as has their green energy source. Maximizing the production of electricity from PEMFC is crucial to maintaining effectiveness. This research article thoroughly analyzes a research study using a strategy known as MPPT, or maximum power point tracking that uses the neuro-fuzzy method for PEMFC operating under diverse temperatures, pressures, and joining constraints. The neuro-fuzzy controller cleverly regulates the point of maximal operation of a hydrogen fuel cell system, allowing exact adherence to the highest possible power scale. According to simulation results, the neuro-fuzzy MPPT technique improves PEMFC validity across a wide range of operating scenarios.

Source: Journal of Renewable Energies

DOI: 10.54966/jreen.v1i3.1299

Authors: Assala Bouguerra, Abd Essalam Badoud, Saad Mekheilef

Institutions: University Ferhat Abbas of Setif, Swinburne University of Technology

Language: English

Topic: Fuel Cells and Related Materials

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: diamond

OpenAlex ID: W4403751076

FWCI: 0.104

Cites:

Cited by: 1

Related to: 10