Proton Exchange Membrane Fuel Cells: An Effective Neural Fuzzy System for Optimal Power Tracking
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 resea...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Renewable Energy Development Center (CDER)
2024-10-01
|
| Series: | Revue des Énergies Renouvelables |
| Subjects: | |
| Online Access: | https://revue.cder.dz/index.php/rer/article/view/1299 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|---|
| ISSN: | 1112-2242 2716-8247 |