Distributed Scheduling And Cooperative Control For Charging Of Electric Vehicles At Highway Service Stations

Keywords

cooperative control; distributed consensus algorithm; dynamical systems; Electric vehicles' charging; transportation networks

Abstract

The increasing number of electric vehicles (EVs) on highways calls for the installment of adequate charging infrastructure. Since charging infrastructure has limited capacity, EVs need to wait at a charging station to get charged, and their waiting times may differ significantly from one location to another. This paper aims at developing a strategy to coordinate the queues among the charging stations, with only local information about traffic flows and the status of EV charging stations along a bidirectional highway, so that excessively long waiting times can be avoided. Specifically, a distributed algorithm is presented to schedule EV flows into neighboring charging stations, so that EVs are all appropriately served along the highway and that all the charging resources are uniformly utilized. In addition, a distributed decision making policy is developed to influence the aggregate number of EVs entering any given service station, so that each EV makes an appropriate decision (i.e., whether or not it should enter the next charging station) by contributing positively to meeting the desired queue length at service stations and by considering its own battery constraint. Performance improvement of the proposed strategy is illustrated via one of the highways in the United States, namely the Florida Turnpike.

Publication Date

10-1-2017

Publication Title

IEEE Transactions on Intelligent Transportation Systems

Volume

18

Issue

10

Number of Pages

2713-2727

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/TITS.2017.2661958

Socpus ID

85014134948 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85014134948

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