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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://dk.um.si/IzpisGradiva.php?id=82453"><dc:title>Optimization methods for charging an electric vehicle</dc:title><dc:creator>Borovnik,	Lara	(Avtor)
	</dc:creator><dc:creator>Šafarič,	Riko	(Mentor)
	</dc:creator><dc:creator>Karner,	Timi	(Mentor)
	</dc:creator><dc:creator>Chenouard,	Raphaël	(Komentor)
	</dc:creator><dc:creator>Bigeon,	Jean	(Komentor)
	</dc:creator><dc:subject>optimization</dc:subject><dc:subject>battery charging</dc:subject><dc:subject>Python</dc:subject><dc:subject>SciPy</dc:subject><dc:subject>Pymoo</dc:subject><dc:description>This thesis contains the comparison of different optimization methods that were implemented on a mathematical model of battery charging for electric vehicles. The goal was to compare how the total price of charging changes with different methods and what happens to other variables in equations with different types of optimizations. We tested what happens if the battery only works in charging mode and what happens if we add a possibility of discharging the battery meaning that the electricity goes from the battery back to the grid (vehicle to grid mode).  The mathematical model was implemented in Python and optimized using various methods that are from Python libraries SciPy and Pymoo.</dc:description><dc:publisher>[L. Borovnik]</dc:publisher><dc:date>2022</dc:date><dc:date>2022-08-21 21:36:33</dc:date><dc:type>Magistrsko delo/naloga</dc:type><dc:identifier>82453</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
