Modelling and Analytics of Driving-Related Energy Performance of Electric Vehicles

Abstract

Large scale adoption of electric vehicles (EV) has yet to be accelerated due to fundamental challenges such as the availability of charging infrastructure, mileage of the EV, as well as the higher lifetime costs associated with the batteries. In order to address these challenges, this paper introduces a framework to model, analyze and visualize the driving-related energy performance of electric vehicles. Based on a case study of real-world data inputs of throttle, brake and road conditions in Singapore, the proposed framework illustrates several findings in terms of modelling accuracy and driving behaviour identification together with visualization and simulation results in open-source Simulation of Urban Mobility software.