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  • An EV Charging Management System Concerning Mobility Uncertainty

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

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

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An EV Charging Management System Concerning Drivers’ Trip Duration and Mobility Uncertainty. / Cao, Yue; Wang, Tong; Kaiwartya, Omprakash et al.
In: IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 48, No. 4, 01.04.2018, p. 596-607.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Cao, Y, Wang, T, Kaiwartya, O, Min, G, Ahmad, N & Abdullah, AH 2018, 'An EV Charging Management System Concerning Drivers’ Trip Duration and Mobility Uncertainty', IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 48, no. 4, pp. 596-607. https://doi.org/10.1109/TSMC.2016.2613600

APA

Cao, Y., Wang, T., Kaiwartya, O., Min, G., Ahmad, N., & Abdullah, A. H. (2018). An EV Charging Management System Concerning Drivers’ Trip Duration and Mobility Uncertainty. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 48(4), 596-607. https://doi.org/10.1109/TSMC.2016.2613600

Vancouver

Cao Y, Wang T, Kaiwartya O, Min G, Ahmad N, Abdullah AH. An EV Charging Management System Concerning Drivers’ Trip Duration and Mobility Uncertainty. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2018 Apr 1;48(4):596-607. Epub 2016 Nov 24. doi: 10.1109/TSMC.2016.2613600

Author

Cao, Yue ; Wang, Tong ; Kaiwartya, Omprakash et al. / An EV Charging Management System Concerning Drivers’ Trip Duration and Mobility Uncertainty. In: IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2018 ; Vol. 48, No. 4. pp. 596-607.

Bibtex

@article{4317c873637349388c6c5aec04b88995,
title = "An EV Charging Management System Concerning Drivers{\textquoteright} Trip Duration and Mobility Uncertainty",
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 and 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.",
author = "Yue Cao and Tong Wang and Omprakash Kaiwartya and Geyong Min and Naveed Ahmad and Abdullah, {Abdul Hanan}",
note = "{\textcopyright}2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.",
year = "2018",
month = apr,
day = "1",
doi = "10.1109/TSMC.2016.2613600",
language = "English",
volume = "48",
pages = "596--607",
journal = "IEEE Transactions on Systems, Man, and Cybernetics: Systems",
issn = "2168-2216",
publisher = "IEEE Advancing Technology for Humanity",
number = "4",

}

RIS

TY - JOUR

T1 - An EV Charging Management System Concerning Drivers’ Trip Duration and Mobility Uncertainty

AU - Cao, Yue

AU - Wang, Tong

AU - Kaiwartya, Omprakash

AU - Min, Geyong

AU - Ahmad, Naveed

AU - Abdullah, Abdul Hanan

N1 - ©2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2018/4/1

Y1 - 2018/4/1

N2 - 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 and 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.

AB - 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 and 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.

U2 - 10.1109/TSMC.2016.2613600

DO - 10.1109/TSMC.2016.2613600

M3 - Journal article

VL - 48

SP - 596

EP - 607

JO - IEEE Transactions on Systems, Man, and Cybernetics: Systems

JF - IEEE Transactions on Systems, Man, and Cybernetics: Systems

SN - 2168-2216

IS - 4

ER -