Toward anycasting-driven reservation system for electric vehicle battery switch service

Cao, Y., Wang, T., Zhang, X., Kaiwartya, O. ORCID: 0000-0001-9669-8244, Eiza, M.H. and Putrus, G., 2018. Toward anycasting-driven reservation system for electric vehicle battery switch service. IEEE Systems Journal. ISSN 1937-9234

[img]
Preview
Text
11696_Kaiwartya.pdf - Post-print

Download (3MB) | Preview

Abstract

Electro-mobility has become an increasingly important research problem in urban cities. 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 need to wait for additional time to get their battery switched, and thus, the EV drivers’ comfort is degraded. First, 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. Second, a decentralized system is further proposed, by facilitating the vehicle-to-vehicle anycasting to deliver EV’s reservations. This helps to address some of the privacy issues that can be materialized in a centralized system and reduce communication cost (e.g., through cellular network for reservation making). Results under the Helsinki city scenario show a tradeoff between comparable performance (e.g., service waiting time, number of switched batteries) and cellular network cost for EVs’ reservations delivery.

Item Type: Journal article
Publication Title: IEEE Systems Journal
Creators: Cao, Y., Wang, T., Zhang, X., Kaiwartya, O., Eiza, M.H. and Putrus, G.
Publisher: Institute of Electrical and Electronics Engineers
Date: 8 May 2018
ISSN: 1937-9234
Identifiers:
NumberType
10.1109/jsyst.2018.2815156DOI
Divisions: Schools > School of Science and Technology
Depositing User: Jonathan Gallacher
Date Added: 06 Aug 2018 10:07
Last Modified: 06 Aug 2018 10:07
URI: http://irep.ntu.ac.uk/id/eprint/34246

Actions (login required)

Edit View Edit View

Views

Views per month over past year

Downloads

Downloads per month over past year