Toward Pre-Empted EV Charging Recommendation through V2V-Based Reservation System

Yue Cao, Tao Jiang, Omprakash Kaiwartya, Hongjian Sun, Huan Zhou, Ran Wang

Research output: Contribution to journalArticlepeer-review

70 Scopus citations

Abstract

Electric vehicles (EVs) are being introduced by different manufacturers, thanks to their environment-friendly perspective to alleviate CO2 pollution. In this paper, the proposed EV charging management scheme enables pre-empted charging service for heterogeneous EVs (depends on different charging capabilities, brands, etc.). Particularly, the anticipated EVs' charging reservations information, including their arrival time and expected charging time at charging stations (CSs), are brought for planning CS-selection (where to charge). Along with applying ubiquitous cellular network communication to deliver (delay tolerant) EVs' charging reservations, we further study the feasibility of applying opportunistic vehicle-to-vehicle (V2V) communication with delay/disruption tolerant networking (DTN) nature, due primarily to its flexibility and cost-efficiency in vehicular ad hoc networks (VANETs). Evaluation results under the realistic Helsinki city scenario show that applying the V2V-based charging reservation is promisingly cost-efficient in terms of communication overhead, while achieving a comparable charging performance to apply cellular network communication.

Original languageEnglish
Article number8734897
Pages (from-to)3026-3039
Number of pages14
JournalIEEE Transactions on Systems, Man, and Cybernetics: Systems
Volume51
Issue number5
DOIs
StatePublished - May 2021
Externally publishedYes

Keywords

  • Charging scheduling
  • electric vehicle (EV)
  • mobility
  • route planning
  • vehicle-to-vehicle (V2V) communication

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