High-Fidelity Electric Vehicle Energy Consumption Modelling and Investigation of Factors in Driving on Energy Consumption

Kocaarslan İ., Zehir M. A., Uzun E., Uzun E. C., Korkmaz M. E., Cakiroglu Y.

4th IEEE Global Power, Energy and Communication Conference, GPECOM 2022, Cappadocia, Turkey, 14 - 17 June 2022, pp.227-231 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/gpecom55404.2022.9815789
  • City: Cappadocia
  • Country: Turkey
  • Page Numbers: pp.227-231
  • Keywords: driving cycle, electric vehicle, energy consumption estimation, range anxiety
  • Istanbul Technical University Affiliated: Yes


© 2022 IEEE.The ever-growing battery electric vehicle market (BEV) have reached several millions of sales annually, as a result of significant electrification of transport efforts globally. Accurate estimation of energy consumed by BEVs is of major importance especially for charging station selection, route planning and development of energy-efficient driving strategies in both manual and autonomous driving. One of the ways of achieving this is to conduct experiments on real BEVs, which is costly and labor intensive. An alternative to real life experimentation is to design high-fidelity mathematical models for energy consumption of BEVs and feed this model with experimental standardized driving cycles. This study develops and investigates the capabilities and advantages of a generic, detailed, modular BEV model. The effects of wide range of parameters on energy consumption of a BEV are analyzed comprehensively. The study is concluded by discussing the promising potential areas of use of the developed model.