Toward Efficient Electric-Vehicle Charging Using VANET-Based Information Dissemination

Cao, Yue and Wang, Ning (2017) Toward Efficient Electric-Vehicle Charging Using VANET-Based Information Dissemination. IEEE Transactions on Vehicular Technology, 66 (4). pp. 2886-2901. ISSN 0018-9545

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Abstract

The design of an efficient charging management system for on-the-move electric vehicles (EVs) has become an emerging research problem in future connected vehicle applications, given their mobility uncertainties. Major technical challenges here involve decision-making intelligence for the selection of charging stations (CSs) and the corresponding communication infrastructure for necessary information dissemination between the power grid and mobile EVs. In this paper, we propose a holistic solution that aims to create a high impact on the improvement of end users' driving experiences (e.g., to minimize EVs' charging waiting time during their journeys) and charging efficiency at the power grid side. In particular, the CS selection decision on where to charge is made by individual EVs for privacy and scalability benefits. The communication framework is based on a mobile publish/subscribe (P/S) paradigm to efficiently disseminate CS condition information to EVs that are on the move. To circumvent the rigidity of having stationary roadside units (RSUs) for information dissemination, we promote the concept of mobility as a service (MaaS) by exploiting the mobility of public transportation vehicles (e.g., buses) to bridge the information flow to EVs, given their opportunistic encounters. We analyze various factors affecting the possibility for EVs to access CS information via opportunistic vehicle-to-vehicle (V2V) communications, and we demonstrate the advantage of introducing buses as mobile intermediaries for information dissemination, based on a common EV charging management system under the Helsinki city scenario. We further study the feasibility and benefit of enabling EVs to send their charging reservations involved for CS selection logic, via opportunistically encountered buses, as well. Results show that this advanced management system improves both performances at the CS and EV sides.

Item Type:
Journal Article
Journal or Publication Title:
IEEE Transactions on Vehicular Technology
Additional Information:
©2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2200/2202
Subjects:
ID Code:
131873
Deposited By:
Deposited On:
13 Mar 2019 11:40
Refereed?:
Yes
Published?:
Published
Last Modified:
03 Apr 2020 05:06