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

Ilhan Kocaarslan, Mustafa Alparslan Zehir, Ege Uzun, Enes Can Uzun, Mustafa Emin Korkmaz, Yigit Cakiroglu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE 4th Global Power, Energy and Communication Conference, GPECOM 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages227-231
Number of pages5
ISBN (Electronic)9781665469258
DOIs
Publication statusPublished - 2022
Event4th IEEE Global Power, Energy and Communication Conference, GPECOM 2022 - Cappadocia, Turkey
Duration: 14 Jun 202217 Jun 2022

Publication series

NameProceedings - 2022 IEEE 4th Global Power, Energy and Communication Conference, GPECOM 2022

Conference

Conference4th IEEE Global Power, Energy and Communication Conference, GPECOM 2022
Country/TerritoryTurkey
CityCappadocia
Period14/06/2217/06/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • driving cycle
  • electric vehicle
  • energy consumption estimation
  • range anxiety

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