Article
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Evaluating Charging Strategies for Electric Vehicles
Version 1
: Received: 5 February 2024 / Approved: 6 February 2024 / Online: 6 February 2024 (07:27:35 CET)
How to cite: Shahbazi, Z.; Som, S.; Nowaczyk, S.; Andersson, J.; Fatmi, S. Evaluating Charging Strategies for Electric Vehicles. Preprints 2024, 2024020337. https://doi.org/10.20944/preprints202402.0337.v1 Shahbazi, Z.; Som, S.; Nowaczyk, S.; Andersson, J.; Fatmi, S. Evaluating Charging Strategies for Electric Vehicles. Preprints 2024, 2024020337. https://doi.org/10.20944/preprints202402.0337.v1
Abstract
Electromobility has gained significant attention in the auto- motive industry, with car manufacturers striving to improve the charging experience for their users. In this study, we compare multiple realistic charging strategies in order to quantify the benefits arising from better planning of charging sessions. We base our evaluation on electricity price data from three regions: Sweden (SE3 region), Germany (DE region), and Denmark (DK2 region). This data is obtained from the ENTSO-E Transparency Platform, covering the two full years 2021 and 2022. We enhance this dataset with commercial price forecasts from the company StormGeo and benchmark it against a naive forecasting method. The primary aim of our work is to compare how the strategies of varying levels of complexity perform across the three different countries in terms of minimizing energy costs for electric car users.
Keywords
Energy Prices; Electromobility; Optimal charging strategy
Subject
Computer Science and Mathematics, Analysis
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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