An EV Charging Management System Concerning Drivers' Trip Duration and Mobility Uncertainty

Cao, Yue, Tong, Wang, Omprakash, Kaiwartya, Geyong, Min, Naveed, Ahmad and Abdul Hanan, Abdullah (2016) An EV Charging Management System Concerning Drivers' Trip Duration and Mobility Uncertainty. IEEE Transactions on Systems, Man, and Cybernetics: Systems. ISSN 2168-2216 (In Press)

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An EV Charging Management System Concerning Mobility Uncertainty.pdf - Accepted Version

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Official URL: http://dx.doi.org/10.1109/TSMC.2016.2613600

Abstract

With continually increased attention on Electric Vehicles (EVs) due to environment impact, public Charging Stations (CSs) for EVs will become common. However, due to the limited electricity of battery, EV drivers may experience discomfort for long charging waiting time during their journeys. This often happens when a large number of (on-the-move) EVs are planning to charge at the same CS, but it has been heavily overloaded. With this concern, in an EV charging management system, we focus on CS-selection decision making and propose a scheme to manage EVs' charging plans, to minimize drivers' trip duration through intermediate charging at CSs. The proposed scheme jointly considers EVs' anticipated charging reservations (including arrival time, expected charging time) and parking duration at CSs. Furthermore, by tackling mobility uncertainty that EVs may not reach their planned CSs on time (due to traffic jams on the road), a periodical reservation updating mechanism is designed to adjust their charging plans. Results under the Helsinki city scenario with realistic EV and CS characteristics show the advantage of our proposal, in terms of minimized drivers' trip duration, as well as charging performance at the EV and CS sides.

Item Type: Article
Uncontrolled Keywords: mobility uncertainty, Charging system, charging station (CS)-selection decision making, driver's trip duration, electric vehicle (EV)
Subjects: G400 Computer Science
H200 Civil Engineering
H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Computer Science and Digital Technologies
Depositing User: Yue Cao
Date Deposited: 05 Oct 2016 09:36
Last Modified: 22 Dec 2016 09:32
URI: http://nrl.northumbria.ac.uk/id/eprint/27922

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