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

Cao, Yue, Zhang, Xu, 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). IEEE, Piscataway, pp. 1471-1476. ISBN 978-1-5090-4373-6

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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
Uncontrolled Keywords:	Electric Vehicle, Charging Management, Vehicle-to-Vehicle Communication
Subjects:	G400 Computer Science H600 Electronic and Electrical Engineering
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Becky Skoyles
Date Deposited:	05 Sep 2017 10:17
Last Modified:	12 Oct 2019 20:46
URI:	http://nrl.northumbria.ac.uk/id/eprint/31733

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