Modeling Charging of Electric Vehicles in Smart Cities: Charles Square Use Case
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Modeling Charging of Electric Vehicles in Smart Cities: Charles Square Use Case
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Modeling Charging of Electric Vehicles in Smart Cities: Charles Square Use Case
Popis výsledku anglicky
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.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE)
ISBN
978-1-7281-0075-3
ISSN
—
e-ISSN
—
Počet stran výsledku
6
Strana od-do
—
Název nakladatele
IEEE Industrial Electronic Society
Místo vydání
Vienna
Místo konání akce
Gracz
Datum konání akce
4. 11. 2019
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—