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

Neo, Y. R. D., Tran, D., Yeap, Y. M. and Lim, L. H. I. (2019) Modelling and Analytics of Driving-related Energy Performance of Electric Vehicles. In: 2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand, 27-30 Oct 2019, pp. 714-719. ISBN 9781538670248 (doi: 10.1109/ITSC.2019.8917474)

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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.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Lim, Dr Li Hong Idris
Authors: Neo, Y. R. D., Tran, D., Yeap, Y. M., and Lim, L. H. I.
Subjects:Q Science > Q Science (General)
T Technology > TA Engineering (General). Civil engineering (General)
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
ISBN:9781538670248
Published Online:28 November 2019

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