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

Abstract

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.