Toward Anycasting-Driven Reservation System for Electric Vehicle Battery Switch Service

Cao, Yue, Wang, Tong, Zhang, Xing, Kaiwartya, Omprakash, Eiza, Mahmoud Hashem and Putrus, Ghanim (2019) Toward Anycasting-Driven Reservation System for Electric Vehicle Battery Switch Service. IEEE Systems Journal, 13 (1). pp. 906-917. ISSN 1932-8184

[img]
Preview
Text (Full text)
Towards Anycasting-driven Reservation System for Battery Switch Based EV Charging.pdf - Accepted Version

Download (1MB) | Preview
Official URL: http://doi.org/10.1109/JSYST.2018.2815156

Abstract

Electro-Mobility has become an increasingly important research problem in urban city. Due to the limited electricity of battery, Electric Vehicle (EV) drivers may experience discomfort for long charging waiting time. Different from plug-in charging technology, we investigate the battery switch technology to improve EV drivers’ comfort (e.g., reduce the service waiting time from tens of minutes to a few minutes), by benefiting from switchable (fully-recharged) batteries cycled at Charging Stations (CSs). Since demand hotspot may still happen at CSs (e.g., running out of switchable batteries), incoming EVs may wait additional time to get their battery switched, and thus the EV driver’s comfort is degraded. Firstly, we propose a centralized reservation enabling service, considering EVs’ reservations (including arrival time, expected charging time of their batteries to be depleted) to optimally coordinate their battery switch plans. Secondly, a decentralized system is further proposed, by facilitating the Vehicle-to-Vehicle (V2V) anycasting to deliver EV’s reservations. This helps to address some of the privacy issues that can be materialized in centralized system and reduce communication cost (e.g., through cellular network for reservation making). Results under the Helsinki city scenario show a trade-off between comparable performance (e.g., service waiting time, number of switched batteries) and cellular network cost for EVs’ reservations delivery.

Item Type: Article
Uncontrolled Keywords: Electric Vehicle, Transportation Planning, Battery Switch, Anycasting, Internet of Vehicles
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Yue Cao
Date Deposited: 08 May 2018 14:19
Last Modified: 11 Oct 2019 06:47
URI: http://nrl.northumbria.ac.uk/id/eprint/34114

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics


Policies: NRL Policies | NRL University Deposit Policy | NRL Deposit Licence