Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/ED4313E9-CFE6-469B-8C01-FE95E893F671 | ||
| Year | 2020 | ||
| Type of Item | Diploma Work | ||
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| Bibliographic Citation | Lazaros Chatziioannidis, "Modeling-simulation of control charging system for large plug-In electric vehicles fleets", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2020 https://doi.org/10.26233/heallink.tuc.87751 | ||
| Appears in Collections |
Currently in 2020, world community is facing challenges that one way or another has itself provoked. Climate change and the greenhouse effect are directly related to an ever increasing level of gas pollutants produced in the course of recklessly utilizing fossil fuels to cover the global energy needs.Even though the line of argument briefly taken up above should be considered to be critical enough so as to make us search for alternative modes of living friendlier to the environment and more compatible to the needs of life, to the same end it is also decisive that the global fossil fuel reserves have already been significantly reduced and they are certainly going to run out at some point in the next 100 years if current rate of consumption was to be maintained.As a consequence, an endeavor to diminish dependence on conventional types of combustibles is being currently carried through, part of which involves a shift to the use of electrically powered vehicles. It is estimated that electric vehicles will reach a 50% share of the global market within the next twenty years. This will significantly reshape electrical energy networks and will affect their way of being designed and operated. Widespread use of battery charging points for electric vehicles, a core issue to treat in the course of this thesis, will come up as a significant factor of these changes.In this context, a battery charging station with a capacity to serve electric vehicles at the same time has been modelled and different alternatives have been investigated so as to regulate the battery charging process in such a way as to minimize operational costs for this station, making use of the advantages inherent in fuzzy logic and Real Time Pricing. Matlab and Fuzzy Logic Toolbox have been chosen to model and simulate the examined system. An account of basic benefits, constraint conditions and concluding considerations will be given, based on the results obtained by the simulation of a realistic electric vehicle charging station.
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