Cao, Y, Kaiwartya, O ORCID: https://orcid.org/0000-0001-9669-8244, Wang, R, Jiang, T, Cao, Y, Aslam, N and Sexton, G, 2017. Toward efficient, scalable, and coordinated on-the-move EV charging management. IEEE Wireless Communications, 24 (2), pp. 66-73. ISSN 1536-1284
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Abstract
Unlike traditional ICEVs, the introduction of EVs is a significant step toward green environment. Public CSs are essential for providing charging services for on-the-move EVs (e.g., EVs moving on the road during their journeys). Key technologies herein involve intelligent selection of CSs to coordinate EV drivers' charging plans, and provisioning of cost-efficient and scalable communication infrastructure for information exchange between power grid and EVs. In this article, we propose an efficient and scalable P/S communication framework, in line with a coordinated on-the-move EV charging management scheme. The case study under the Helsinki city scenario shows the advantage of the proposed CS selection scheme, in terms of reduced charging waiting time and increased number of charged EVs, as charging performance metrics at EV and CS sides. Besides, the proposed P/S communication framework shows its low communication cost (in terms of signalings involved for charging management), at the same time great scalability for supporting increasing EVs' charging demands.
Item Type: | Journal article |
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Publication Title: | IEEE Wireless Communications |
Creators: | Cao, Y., Kaiwartya, O., Wang, R., Jiang, T., Cao, Y., Aslam, N. and Sexton, G. |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Date: | April 2017 |
Volume: | 24 |
Number: | 2 |
ISSN: | 1536-1284 |
Identifiers: | Number Type 10.1109/mwc.2017.1600254wc DOI 1633033 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 11:08 |
Last Modified: | 11 Jan 2023 11:08 |
URI: | https://irep.ntu.ac.uk/id/eprint/47805 |
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