研究目的
To evaluate the performance of a prototype vehicle that uses a reversible fuel cell capable of producing and storing hydrogen and oxygen by breaking the water molecule through the electrolysis process, made possible with the use of solar panels.
研究成果
The study demonstrated the successful application of Fuzzy Logic in assessing the performance of a solar-powered prototype vehicle using water electrolysis. The approach incorporated human judgment into the decision-making process, showing high efficiency and performance of the vehicle. This technology presents a viable solution to pollution caused by the transport sector, pending necessary investments.
研究不足
The study could be expanded by including more linguistic variables and refining the fuzzy inference rules to better represent boundary conditions. The use of artificial neural networks was suggested for more complex systems.
1:Experimental Design and Method Selection:
The study used Fuzzy Logic to establish linguistic variables and compose inference rules based on power, solar panel area, and solar irradiation.
2:Sample Selection and Data Sources:
The prototype vehicle, Hydrocar, developed by Horizon Fuel Cell Technologies, was used. Solar irradiation data was obtained from the Solar Energy and Wind Sergio Brito Research Center (CRESESB).
3:List of Experimental Equipment and Materials:
Hydrocar prototype, solar panels, reversible fuel cell, and water for electrolysis.
4:Experimental Procedures and Operational Workflow:
Assembly of Hydrocar, addition of water, electrolysis process powered by solar energy, and measurement of vehicle performance.
5:Data Analysis Methods:
Fuzzy Logic was applied using the InFuzzy software to analyze the relationship between solar panel area, solar irradiation, and power output.
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