Secondary Author(s)
Gusrialdi, Azwirman
Report Number
FSEC-CR-2070-17
URL
http://publications.energyresearch.ucf.edu/wp-content/uploads/2018/06/FSEC-CR-2070-17.pdf
Keywords
Electric Vehicles; Charging stations; Traffic simulation; Transportation infrastructure; Wireless communication
Abstract
This project developed a methodology to simulate and analyze roadway traffic patterns and expected penetration and timing of electric vehicles (EVs) with application directed toward the requirements for electric vehicle supply equipment (EVSE) siting and purchasing/leasing at turnpike plazas. The project also developed a wireless-communication-based driver-assistance application that would optimize the location and timing of charging for individual drivers as well as efficiency of the overall charging network. The first steps of the project were to develop the systematic methodology for analyzing expected penetration of electric vehicles (EVs) and their impacts on the overall transportation infrastructure. An analytical model consisting of three components was developed and applied. Furthermore, the stability and instability of the proposed model were also analyzed. The developed model was then applied to the Florida Turnpike network as a test system.
Date Published
6-10-2017
Identifiers
71
Subjects
Electric vehicles; Transportation; Traffic engineering; Wireless communication systems; Transportation--Planning
Local Subjects
Electric Vehicles
Type
Text; Document
Contributor (Linked Data)
Gusrialdi, Azwirman [LC]
Collection
FSEC Energy Research Center® Collection
STARS Citation
Florida Solar Energy Center and Qu, Zhihua, "Optimal Charging Scheduler for Electric Vehicles on the Florida Turnpike" (2017). FSEC Energy Research Center®. 71.
https://stars.library.ucf.edu/fsec/71
Included in
Rights Statement
