Simulation Based Validation of Range Prediction of Electric Vehicles

Authors

  • Mohammed Rabhi
    Affiliation

    Department of Automotive Technologies, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, H-1521 Budapest, P. O. B. 91, Hungary

  • Imre Zsombók
    Affiliation

    Department of Automotive Technologies, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, H-1521 Budapest, P. O. B. 91, Hungary

https://doi.org/10.3311/PPtr.15059

Abstract

With the increasing environmental pollution in our urban communities along with the continuous exhaustion of oil assets, electric vehicles are ending up profoundly supported as means of transport. There is a proceeding with increment in the quantity of EVs being used, however their global expansion and acceptance by consumers is identified with the performance they can deliver. The most significant highlights here are observably the low energy density, with staggering expenses and short cycle life bringing about constrained mileage contrasted with conventional passenger vehicles. Ordinarily, in the technical specifications of electric cars, automakers give an operational combined range which isn't completely accurate and doesn’t differentiate and take into consideration several influencing factors (urban driving or inter city traffic, ambient temperature, utilization of auxiliary equipment …). For the owners it is imperative to know as accurate as possible the remaining range and influence of the auxiliaries on energy consumption and mileage. That information will guarantee a tranquil and pleasant journey regardless of the constrained range of electric vehicles.

Keywords:

electric vehicles, driving cycles, simulation

Citation data from Crossref and Scopus

Published Online

2022-03-01

How to Cite

Rabhi, M., Zsombók, I. (2022) “Simulation Based Validation of Range Prediction of Electric Vehicles”, Periodica Polytechnica Transportation Engineering, 50(2), pp. 136–141. https://doi.org/10.3311/PPtr.15059

Issue

Section

Articles