An EV Charging Management System Concerning Drivers' Trip Duration and Mobility Uncertainty
IEEE Transactions on Systems, Man, and Cybernetics: Systems
Institute of Electrical and Electronics Engineers (IEEE)
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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.
This work was supported in part by the National Natural Science Foundation under Grant 61102105, in part by the Post-Doctoral Start Foundation of Heilongjiang Province under Grant LBH-Q12117, in part by the Foundation for Innovative Research of Harbin under Grant 2015RAQXJ008, in part by the Fundamental Research Funds for the Central Universities under Grant GK2080260138.
This is the author accepted manuscript. The final version is available from the publisher via the DOI in this record.
Iss. 99, pp. 1 - 12