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

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

doi:10.1109/VTCFall.2014.6965934

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

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

Civil Environ Construct Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

22 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 language	English
Title of host publication	2014 IEEE 80th Vehicular Technology Conference, VTC2014-Fall, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479944491, 9781479944491
DOIs	https://doi.org/10.1109/VTCFall.2014.6965934
State	Published - Nov 24 2014
Event	80th IEEE Vehicular Technology Conference, VTC 2014-Fall - Vancouver, Canada Duration: Sep 14 2014 → Sep 17 2014

Publication series

Name	IEEE Vehicular Technology Conference
ISSN (Print)	1550-2252

Conference

Conference	80th IEEE Vehicular Technology Conference, VTC 2014-Fall
Country/Territory	Canada
City	Vancouver
Period	09/14/14 → 09/17/14

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

Access to Document

10.1109/VTCFall.2014.6965934

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

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title = "Developing a test data set for electric vehicle applications in smart grid research",

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.",

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author = "Hossein Akhavan-Hejazi and Hamed Mohsenian-Rad and Ali Nejat",

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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., 80th IEEE Vehicular Technology Conference, VTC 2014-Fall, Vancouver, Canada, 09/14/14. https://doi.org/10.1109/VTCFall.2014.6965934

Developing a test data set for electric vehicle applications in smart grid research. / Akhavan-Hejazi, Hossein; Mohsenian-Rad, Hamed; Nejat, Ali.

2014 IEEE 80th Vehicular Technology Conference, VTC2014-Fall, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. 6965934 (IEEE Vehicular Technology Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - 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.

AB - 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.

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KW - electric vehicle charging load

KW - experimental vehicle driving traces

KW - mobility patterns.

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KW - smart grid applications

KW - state of charge

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

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