Stochastic Modeling of Electric Car Charging Station for a Taxi Fleet

Abstract

The uninterrupted operation of electric cars requires an adequate number of chargers installed in charging stations. The incoming requests determine the required number of chargers in the station, so it is of utmost importance to have practicable car motion models for planning purposes.
In this paper a stochastic model is proposed to simulate the behavior of a taxi fleet consisting 100 identical cars. Car usage characteristics were extracted from real life measurement data and then synthetic driving cycles were generated by Monte Carlo simulation. The state of charge of every car can be monitored and the number of cars that have to wait for being charged can be determined using the proposed algorithm. Parameters can be varied freely, so the model is adequate for modeling different datasets.