Maximum power point tracking in fuel cells an AI controller based on metaheuristic optimisation
2024
AI Controller for Fuel Cells to Improve Efficiency
publication
10 minutes
Evidence: high
Author Information
Author(s): Preethiraj P.M., J. Belwin Edward
Primary Institution: Vellore Institute of Technology, Vellore
Hypothesis
Can an AI-based controller optimize the performance of fuel cells in electric vehicles?
Conclusion
The study demonstrates that the proposed AI controller significantly enhances the efficiency and power tracking of fuel cells.
Supporting Evidence
- The proposed converter efficiency improved to 94%.
- The AI controller achieved an operational efficiency of 98.92%.
- MATLAB simulations showed enhanced power tracking outputs.
- The study provides a detailed comparative examination of existing techniques.
Takeaway
This study shows how using smart technology can help fuel cells work better, making them a good choice for powering electric cars.
Methodology
The study used MATLAB simulations to analyze the performance of a fuel cell system with an AI-based controller.
Limitations
The study may not account for all real-world variables affecting fuel cell performance.
Digital Object Identifier (DOI)
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