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

Yue Cao, Wang Tong, Kaiwartya Omprakash, Min Geyong, Ahmad Naveed, Abdullah Abdul Hanan

Research output: Contribution to journalArticlepeer-review

131 Citations (Scopus)
13 Downloads (Pure)


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.
Original languageEnglish
Pages (from-to)596-607
JournalIEEE Transactions on Systems, Man, and Cybernetics: Systems
Issue number4
Early online date24 Nov 2016
Publication statusPublished - Apr 2018


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