A cost-efficient communication framework for battery-switch-based electric vehicle charging

Cao, Y, Yang, S, Min, G, Zhang, X, Song, H, Kaiwartya, O ORCID logoORCID: https://orcid.org/0000-0001-9669-8244 and Aslam, N, 2017. A cost-efficient communication framework for battery-switch-based electric vehicle charging. IEEE Communications Magazine, 55 (5), pp. 162-169. ISSN 1558-1896

[thumbnail of 1633000_Kaiwartya.pdf]
Preview
Text
1633000_Kaiwartya.pdf - Post-print

Download (2MB) | Preview

Abstract

Charging management for EVs on the move has become an increasingly important research problem in smart cities. Major technical challenges include the selection of charging stations to guide charging plans, and the design of cost-efficient communication infrastructure between the power grid and EVs. In this article, we first present a brief review on state-of-the-art EV charging management schemes. Next, by incorporating battery switch technology to enable fast charging service, a publish/subscribe communication framework is provisioned to support the EV charging service. After that, we develop a fully distributed charging management scheme with consideration of urban travel uncertainties, for example, traffic congestion and drivers' preferences. This would benefit from low privacy sensitivity, as EVs' status information will not be released through management. Results demonstrate a guidance for the provisioning of a P/S communication framework to improve EV drivers' experience, for example, charging waiting time and total trip duration. Also, the benefit of a P/S communication framework is reflected in terms of the communication efficiency. Open research issues in this emerging area are also presented.

Item Type: Journal article
Publication Title: IEEE Communications Magazine
Creators: Cao, Y., Yang, S., Min, G., Zhang, X., Song, H., Kaiwartya, O. and Aslam, N.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: May 2017
Volume: 55
Number: 5
ISSN: 1558-1896
Identifiers:
Number
Type
10.1109/mcom.2017.1600913
DOI
1633000
Other
Rights: © 2017 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.
Divisions: Schools > School of Science and Technology
Record created by: Jeremy Silvester
Date Added: 11 Jan 2023 09:22
Last Modified: 11 Jan 2023 09:27
URI: https://irep.ntu.ac.uk/id/eprint/47800

Actions (login required)

Edit View Edit View

Statistics

Views

Views per month over past year

Downloads

Downloads per month over past year