Comparative Study on Forecasting methods of EV Arrivals at Battery Swapping Station

Abstract

Electric Vehicle(EV) is chosen over the conventional vehicles, due to its less contribution in release of green-house gases. The depleted batteries in an EV can be refuelled using Battery Charging(BC) and Battery Swapping(BS) techniques. As the BS method provides, less refuelling time and flexibility in service to EV user, Battery Swapping stations (BSS) are gaining lot of acceptance from the transportation sector. BSS must plan its battery stack -with full charge to serve EV user with less waiting time. Hence, the forecasting of EV arrivals is necessary for the optimal planning of BSS. This paper presents, performance analysis of various forecasting algorithms used for EV arrivals, by using MATLAB/SIMULINK environment and results are analysed with performance metrics such as mean square error, system simulation time, correlation etc. A comparative analysis on various time series models has been carried out and results are analysed.