Paper Info
Title
A traffic-aware electric vehicle charging management system for smart cities.
Abstract
The expected increase in the number of electric vehicles (EVs) in the coming years will contribute to reducing CO2 pollution in our cities. Currently, EVs' users may suffer from distress due to long charging service times and overloaded charging stations (CSs). Critical traffic conditions (e.g., traffic jams) affect EVs' trip time (TT) towards CSs and thus influence the total trip duration. With this concern, Intelligent transport systems (ITS) and more specifically connected vehicle technologies, can leverage an efficient real-time EV charging service by jointly considering CSs status and traffic conditions in the city. In this work, we propose a scheme to manage EVs' charging planning, focusing on the selection of a CS for the energy-requiring EV. The proposed scheme considers anticipated charging slots reservations performed through a vehicular ad hoc network (VANET), which has been regarded as a cost-efficient communication framework. In specific, we consider two aspects: 1) the EV's total trip time towards its destination considering an intermediate charging at each candidate CS, and 2) the communication delay of the VANET routing protocol. First, in order to estimate the EV's total trip time, our CS selection scheme takes into account the average road speed, traffic lights, and route distance, along the path of the EV. The optimal CS that produces the minimum total charging service time (including the TT) is suggested to that energy-requiring EV. Then, we introduce two communication modes based on geographical routing protocols for VANETs to attain an anticipated charging slot reservation. Simulation results show that with our charging scheme EVs' charging service time is reduced and more EVs are successfully charged.
Year
DOI
Venue
2019
10.1016/j.vehcom.2019.100188
Vehicular Communications
Keywords
Field
DocType
VANET,Electric vehicles (EVs),Smart charging service,Vehicle-to-vehicle,Applications,Intelligent transportation systems
Reservation,Electric vehicle,Computer science,Computer network,Intelligent transportation system,Management system,Service time,Traffic conditions,Vehicular ad hoc network,Routing protocol
Journal
Volume
ISSN
Citations 
20
2214-2096
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Pablo Barbecho Bautista111.38
Leticia Lemus Cárdenas212.71
Luis Urquiza Aguiar3367.67
Mónica Aguilar-Igartua4172.44