Reservation based electric vehicle charging using battery switch

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Cao, Yue, Zhang, Xu ORCID: https://orcid.org/0000-0001-6557-6607, Liu, William, Cao, Yang, Chiaraviglio, Luca, Wu, Jinsong and Putrus, Ghanim (2018) Reservation based electric vehicle charging using battery switch. In: 2018 IEEE International Conference on Communications, ICC 2018 - Proceedings. IEEE International Conference on Communications . The Institute of Electrical and Electronics Engineers (IEEE), USA. ISBN 9781538631805

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Abstract

With the growing popularization of Electric Vehicles (EVs), charging management has become an increasingly important research problem in smart cities. Different from plug-in charging technology, we alternatively enable the battery switch technology to provide fast EV charging (reduce the service waiting time from tens of minutes to a few minutes), by facilitating the switchable (fully-recharged) batteries maintained at CSs and also the batteries cycling procure to refresh their availability. Nevertheless, potential hot spot may still happen at CSs, due to running out of switchable batteries as well as long batteries charging queue. With this concern, we next propose a reservation based EV charging management scheme to alleviate such situation, considering EVs' anticipated charging reservations (including arrival time, expected charging time) to coordinate EVs' charging plans. Results under the Helsinki city scenario with realistic EV and CS characteristics show the advantage of our enabling technology, in terms of minimized waiting time for the battery switch as the benefit of EV drivers, and higher number of batteries switched as the benefit of CSs.

Item Type: Book Section
Additional Information: Funding Information: ACKNOWLEDGMENT This work is supported in part by the EU Interreg North Sea Region programme “Smart, clean Energy and Electric Vehicles for the City (SEEV4-City)” Project, ERANet LAC Project under grant ELAC2015/T10-0761, “Enabling REsilient urban TRAnsportation systems in smart CiTes (RETRACT)” and Chile Conicyt FONDECYT Regular 2018, “Big data for sustainable smart cities with the aids of computational intelligence”. Publisher Copyright: © 2018 IEEE.
Uncontrolled Keywords: computer networks and communications,electrical and electronic engineering,sdg 11 - sustainable cities and communities ,/dk/atira/pure/subjectarea/asjc/1700/1705
Faculty \ School: Faculty of Science > School of Computing Sciences
UEA Research Groups: Faculty of Science > Research Groups > Data Science and AI
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Depositing User: LivePure Connector
Date Deposited: 26 Jan 2024 02:20
Last Modified: 10 Dec 2024 01:13
URI: https://ueaeprints.uea.ac.uk/id/eprint/94271
DOI: 10.1109/ICC.2018.8422422

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