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User Interface development for the estimation of electric power demand of plug in electricvehicles through digital maps and statistical data of traffic

Lintas Stefanos

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URI: http://purl.tuc.gr/dl/dias/DA697568-6523-4140-ACFC-26602711BD17
Year 2021
Type of Item Diploma Work
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Bibliographic Citation Stefanos Lintas, "User Interface development for the estimation of electric power demand of plug in electric vehicles through digital maps and statistical data of traffic", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2021 https://doi.org/10.26233/heallink.tuc.90590
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Summary

In this thesis, a web application which is capable of calculating the energy consumption of a fleet of electric vehicles is developed. This web app is capable of gathering data for each trip that the EVs complete and calculate the distance that they traverse in each trip through Google Maps, this will allow our web application to process that data and predict with accuracy the load on the grid of either an individual with his EV or a fleet of EVs. In order to simulate a realistic behavior of a fleet of EVs we have used the data from the National Household Travel Survey (https://nhts.ornl.gov/). With this data base as a basis we have the probability density for the usage of EVs on their departure times, type of trip (work, pleasure etc.) as well as their idle time.

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