Reservation-based EV charging recommendation concerning charging urgency policy

Shuohan Liu, Xu Xia, Yue Cao, Qiang Ni, Xu Zhang, Lexi Xu

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number103150
JournalSustainable Cities and Society
Volume74
Early online date27 Jul 2021
DOIs
Publication statusPublished - Nov 2021

Keywords

  • Charging scheduling
  • Charging urgency
  • CS-selection
  • Electric vehicle
  • EV charging recommendation

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