Applying DTN routing for reservation-driven EV Charging management in smart cities

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Cao, Yue, Zhang, Xu ORCID: https://orcid.org/0000-0001-6557-6607, Wang, Ran, Peng, Linyu, Aslam, Nauman and Chen, Xiaomin (2017) Applying DTN routing for reservation-driven EV Charging management in smart cities. In: 2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017. 2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017 . The Institute of Electrical and Electronics Engineers (IEEE), ESP, pp. 1471-1476. ISBN 9781509043729

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Abstract

Charging management for Electric Vehicles (EVs) on-the-move (moving on the road with certain trip destinations) is becoming important, concerning the increasing popularity of EVs in urban city. However, the limited battery volume of EV certainly influences its driver's experience. This is mainly because the EV needed for intermediate charging during trip, may experience a long service waiting time at Charging Station (CS). In this paper, we focus on CS-selection decision making to manage EVs' charging plans, aiming to minimize drivers' trip duration through intermediate charging at CSs. The anticipated EVs' charging reservations including their arrival time and expected charging time at CSs, are brought for charging management, in addition to taking the local status of CSs into account. Compared to applying traditionally applying cellular network communication to report EVs' charging reservations, we alternatively study the feasibility of applying Vehicle-to-Vehicle (V2V) communication with Delay/Disruption Tolerant Networking (DTN) nature, due primarily to its flexibility and cost-efficiency in Vehicular Ad hoc NETworks (VANETs). Evaluation results under the realistic Helsinki city scenario show that applying the V2V for reservation reporting is promisingly cost-efficient in terms of communication overhead for reservation making, while achieving a comparable performance in terms of charging waiting time and total trip duration.

Item Type:	Book Section
Additional Information:	Funding Information: This research is supported by Natural Science Foundation of Jiangsu Province under Grant BK20160812. Publisher Copyright: © 2017 IEEE.
Uncontrolled Keywords:	charging management,electric vehicle,vehicle-to-vehicle communication,computer networks and communications,hardware and architecture,signal processing,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
Related URLs:	http://www.scopus.com/inward/record.url?... http://nrl.northumbria.ac.uk/30333
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/94275
DOI:	10.1109/IWCMC.2017.7986501

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