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http://bura.brunel.ac.uk/handle/2438/31086| Title: | Optimizing the Number of Electric Vehicle Charging Stations at Forecourts to Meet Demand |
| Authors: | Habashneh, M Darwish, M Lai, CS |
| Keywords: | EV;forecourt;charging station;ultra-fast charger;ANN |
| Issue Date: | 2-Sep-2024 |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Citation: | Habashneh, M., Darwish, M. and Lai, C.S. (2024) 'Optimizing the Number of Electric Vehicle Charging Stations at Forecourts to Meet Demand', 2024 59th International Universities Power Engineering Conference, UPEC 2024, Cardiff, UK, 2-6 September, pp. 1 - 6. doi: 10.1109/UPEC61344.2024.10892374. |
| Abstract: | Due to the rapid increase in electric vehicle (EV) adoption, there is a pressing need for expanded charging infrastructure to accommodate this growth. The core challenge lies in balancing the number of EVs with the availability of charging stations to minimize wait times and enhance user satisfaction. This study employs a data-driven approach, utilizing hypothetical surveys of 100 EV users to gather insights into their experiences and expectations. Due to constraints on survey approval, assumptions were made regarding user responses. MATLAB-based artificial neural network (ANN) simulations were conducted to optimize the allocation of charging stations against the number of EV users. This method helps in predicting the required number of charging stations to effectively reduce charging wait times and improve overall user experience. |
| URI: | https://bura.brunel.ac.uk/handle/2438/31086 |
| DOI: | https://doi.org/10.1109/UPEC61344.2024.10892374 |
| ISBN: | 979-8-3503-7973-0 (ebk) 979-8-3503-7974-7 (PoD) |
| Other Identifiers: | ORCiD: Mohamed Darwish https://orcid.org/0000-0002-9495-861X ORCiD: Chun Sing Lai https://orcid.org/0000-0002-4169-4438 |
| Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © 2024 Crown. Published by Institute of Electrical and Electronics Engineers (IEEE). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works ( https://journals.ieeeauthorcenter.ieee.org/become-an-ieee-journal-author/publishing-ethics/guidelines-and-policies/post-publication-policies/ ). | 644.35 kB | Adobe PDF | View/Open |
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