Developing a test data set for electric vehicle applications in smart grid research

Hossein Akhavan-Hejazi, Hamed Mohsenian-Rad, Ali Nejat

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Scopus citations

Abstract

We analyze a detailed set of driving traces for 536 GPS-equipped taxi vehicles and combine them with the features of four different plug-in hybrid electric vehicle (PHEV) brands that currently dominate the North American market in order to develop a test data set for PHEV-related research in the field of smart grid. Our developed data set is made available to public in [1]. It consists of various information, including but not limited to per-PHEV traces of state-of-charges (SoCs), per-PHEV traces of charging loads at different carefully identified charging stations, per-PHEV information on SoC and charging deadline when the PHEV is parked at a charging station, and some information about the potential of PHEVs for vehicle-to-grid applications.

Original languageEnglish
Title of host publication2014 IEEE 80th Vehicular Technology Conference, VTC2014-Fall, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479944491, 9781479944491
DOIs
StatePublished - Nov 24 2014
Event80th IEEE Vehicular Technology Conference, VTC 2014-Fall - Vancouver, Canada
Duration: Sep 14 2014Sep 17 2014

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Conference

Conference80th IEEE Vehicular Technology Conference, VTC 2014-Fall
CountryCanada
CityVancouver
Period09/14/1409/17/14

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Keywords

  • Plug-in electric vehicles
  • electric vehicle charging load
  • experimental vehicle driving traces
  • mobility patterns.
  • publicly available data set
  • smart grid applications
  • state of charge

Cite this

Akhavan-Hejazi, H., Mohsenian-Rad, H., & Nejat, A. (2014). Developing a test data set for electric vehicle applications in smart grid research. In 2014 IEEE 80th Vehicular Technology Conference, VTC2014-Fall, Proceedings [6965934] (IEEE Vehicular Technology Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCFall.2014.6965934