TY - JOUR
T1 - Reservation-based EV charging recommendation concerning charging urgency policy
AU - Liu, Shuohan
AU - Xia, Xu
AU - Cao, Yue
AU - Ni, Qiang
AU - Zhang, Xu
AU - Xu, Lexi
N1 - Funding Information: This work is supported by Science and Technology Project of State Grid Corporation of China (SGFJXT00TXJS2000313), National Key R&D Program of China (No. 2020YFB1806700) and Natural Science Basic Research Program of Shaanxi (Program No. 2019JQ-258).
PY - 2021/11
Y1 - 2021/11
N2 - Electric Vehicles (EVs) are environmental friendly comparing with traditional internal combustion vehicles (ICVs), and have great application potential to achieve green transportation. However, due to the battery technology under development, the charging time of EVs is still longer than refuelling time of ICVs. Importantly, CS-Selection scheme (which/where to charge) and charging scheduling (when/whether to charge) are key solutions, for coping with long charging time and uneven distribution of Charging Stations (CSs) in urban city. In this paper, we propose an Urgency First Charging (UFC) scheduling policy, which orders EVs via their charging urgency (calculated by their charging demand and remaining parking duration). With the underlying UFC policy, we further propose a reservation-based CS-Selection scheme that selects the optimal CS with the minimum trip duration (summation of travelling time through CS, and the charging time spent at CS), where the EVs would further report their reservations to help anticipate the service congestion status of CSs in future. We have conducted simulations through Helsinki's city traffic scenarios. The simulation results show that our proposed CS-Selection scheme has advantages in improving users quality of experience, which shortens the overall trip duration of EVs and fully charges more EVs before departure deadline.
AB - Electric Vehicles (EVs) are environmental friendly comparing with traditional internal combustion vehicles (ICVs), and have great application potential to achieve green transportation. However, due to the battery technology under development, the charging time of EVs is still longer than refuelling time of ICVs. Importantly, CS-Selection scheme (which/where to charge) and charging scheduling (when/whether to charge) are key solutions, for coping with long charging time and uneven distribution of Charging Stations (CSs) in urban city. In this paper, we propose an Urgency First Charging (UFC) scheduling policy, which orders EVs via their charging urgency (calculated by their charging demand and remaining parking duration). With the underlying UFC policy, we further propose a reservation-based CS-Selection scheme that selects the optimal CS with the minimum trip duration (summation of travelling time through CS, and the charging time spent at CS), where the EVs would further report their reservations to help anticipate the service congestion status of CSs in future. We have conducted simulations through Helsinki's city traffic scenarios. The simulation results show that our proposed CS-Selection scheme has advantages in improving users quality of experience, which shortens the overall trip duration of EVs and fully charges more EVs before departure deadline.
KW - Charging scheduling
KW - Charging urgency
KW - CS-selection
KW - Electric vehicle
KW - EV charging recommendation
UR - http://www.scopus.com/inward/record.url?scp=85111180952&partnerID=8YFLogxK
U2 - 10.1016/j.scs.2021.103150
DO - 10.1016/j.scs.2021.103150
M3 - Article
AN - SCOPUS:85111180952
VL - 74
JO - Sustainable Cities and Society
JF - Sustainable Cities and Society
SN - 2210-6707
M1 - 103150
ER -