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Modeling Charging of Electric Vehicles in Smart Cities: Charles Square Use Case

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F19%3A00338621" target="_blank" >RIV/68407700:21260/19:00338621 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/ICCVE45908.2019.8965222" target="_blank" >https://doi.org/10.1109/ICCVE45908.2019.8965222</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICCVE45908.2019.8965222" target="_blank" >10.1109/ICCVE45908.2019.8965222</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modeling Charging of Electric Vehicles in Smart Cities: Charles Square Use Case

  • Original language description

    The main objective of this paper is to demonstrate a novel method for modeling smart cities and to introduce a use case study related to charging of electric vehicles. This use case is focusing on the research question: how many charging stations are needed to fulfill the dynamic demand for charging of electric vehicles. If electric vehicles become a mass product, it will be necessary to build many charging stations. On the other hand, the charging time will be significantly different from conventional cars and hardly as fast as conventional cars have (at least in the near future). In case of trucks, this will be even bigger difference. We can expect significant improvements in the speed of charging of batteries in the future. In this paper, we do not want to predict what will be the future, but rather demonstrate what will be the impact if we consider the number of charging stations, electric vehicles and charging time. This is a dynamic problem and the usage of a novel SMACEF framework using Multiagent systems is proposed as a suitable tool for this use case, as well as other smart city related problems.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)

  • ISBN

    978-1-7281-0075-3

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    IEEE Industrial Electronic Society

  • Place of publication

    Vienna

  • Event location

    Gracz

  • Event date

    Nov 4, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article