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Title: Socially optimal electric driving range of plug-in hybrid electric vehicles

Abstract

Our study determines the optimal electric driving range of plug-in hybrid electric vehicles (PHEVs) that minimizes the daily cost borne by the society when using this technology. An optimization framework is developed and applied to datasets representing the US market. Results indicate that the optimal range is 16 miles with an average social cost of 3.19 per day when exclusively charging at home, compared to 3.27 per day of driving a conventional vehicle. The optimal range is found to be sensitive to the cost of battery packs and the price of gasoline. Moreover, when workplace charging is available, the optimal electric driving range surprisingly increases from 16 to 22 miles, as larger batteries would allow drivers to better take advantage of the charging opportunities to achieve longer electrified travel distances, yielding social cost savings. If workplace charging is available, the optimal density is to deploy a workplace charger for every 3.66 vehicles. Finally, the diversification of the battery size, i.e., introducing a pair and triple of electric driving ranges to the market, could further decrease the average societal cost per PHEV by 7.45% and 11.5% respectively.

Authors:
 [1];  [1];  [2]
+ Show Author Affiliations
  1. Univ. of Florida, Gainesville, FL (United States)
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Publication Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
OSTI Identifier:
1207062
Grant/Contract Number:  
AC05-00OR22725; CNS-1239364; 71228101
Resource Type:
Accepted Manuscript
Journal Name:
Transportation Research. Part D, Transport and Environment
Additional Journal Information:
Journal Volume: 39; Journal Issue: C; Journal ID: ISSN 1361-9209
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
33 ADVANCED PROPULSION SYSTEMS; plug-in hybrid electric vehicle (PHEV); optimal all-electric driving range; minimum

Citation Formats

Kontou, Eleftheria, Yin, Yafeng, and Lin, Zhenhong. Socially optimal electric driving range of plug-in hybrid electric vehicles. United States: N. p., 2015. Web. doi:10.1016/j.trd.2015.07.002.
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Kontou, Eleftheria, Yin, Yafeng, & Lin, Zhenhong. Socially optimal electric driving range of plug-in hybrid electric vehicles. United States. https://doi.org/10.1016/j.trd.2015.07.002
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Kontou, Eleftheria, Yin, Yafeng, and Lin, Zhenhong. Sat . "Socially optimal electric driving range of plug-in hybrid electric vehicles". United States. https://doi.org/10.1016/j.trd.2015.07.002. https://www.osti.gov/servlets/purl/1207062.
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@article{osti_1207062,
title = {Socially optimal electric driving range of plug-in hybrid electric vehicles},
author = {Kontou, Eleftheria and Yin, Yafeng and Lin, Zhenhong},
abstractNote = {Our study determines the optimal electric driving range of plug-in hybrid electric vehicles (PHEVs) that minimizes the daily cost borne by the society when using this technology. An optimization framework is developed and applied to datasets representing the US market. Results indicate that the optimal range is 16 miles with an average social cost of 3.19 per day when exclusively charging at home, compared to 3.27 per day of driving a conventional vehicle. The optimal range is found to be sensitive to the cost of battery packs and the price of gasoline. Moreover, when workplace charging is available, the optimal electric driving range surprisingly increases from 16 to 22 miles, as larger batteries would allow drivers to better take advantage of the charging opportunities to achieve longer electrified travel distances, yielding social cost savings. If workplace charging is available, the optimal density is to deploy a workplace charger for every 3.66 vehicles. Finally, the diversification of the battery size, i.e., introducing a pair and triple of electric driving ranges to the market, could further decrease the average societal cost per PHEV by 7.45% and 11.5% respectively.},
doi = {10.1016/j.trd.2015.07.002},
journal = {Transportation Research. Part D, Transport and Environment},
number = C,
volume = 39,
place = {United States},
year = {Sat Jul 25 00:00:00 EDT 2015},
month = {Sat Jul 25 00:00:00 EDT 2015}
}
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Journal Article:
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Publisher's Version of Record
https://doi.org/10.1016/j.trd.2015.07.002
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Cited by: 28 works
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Works referenced in this record:

Within-day recharge of plug-in hybrid electric vehicles: Energy impact of public charging infrastructure
journal, July 2012

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journal, January 2014

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journal, January 2013

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journal, April 2012

  • Lin, Zhenhong
  • SAE International Journal of Alternative Powertrains, Vol. 1, Issue 1
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Optimizing and Diversifying Electric Vehicle Driving Range for U.S. Drivers
journal, November 2014

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journal, March 2006

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journal, September 2010

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journal, August 2011

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journal, July 2009

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journal, May 2011

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journal, December 2014

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journal, December 2013

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journal, May 2013

Fuel reduction and electricity consumption impact of different charging scenarios for plug-in hybrid electric vehicles
journal, August 2011

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    Works referencing / citing this record:

    Modeling Vehicles to Grid as a Source of Distributed Frequency Regulation in Isolated Grids with Significant RES Penetration
    journal, February 2019

    • Neofytou, Neofytos; Blazakis, Konstantinos; Katsigiannis, Yiannis
    • Energies, Vol. 12, Issue 4
    • DOI: 10.3390/en12040720

    Ownership and Usage Analysis of Alternative Fuel Vehicles in the United States with the 2017 National Household Travel Survey Data
    journal, April 2019

    • Li, Xuefang; Liu, Chenhui; Jia, Jianmin
    • Sustainability, Vol. 11, Issue 8
    • DOI: 10.3390/su11082262

    Multicriteria Approach to Sustainable Transport Evaluation under Incomplete Knowledge: Electric Bikes Case Study
    journal, June 2019

    • Sałabun, Wojciech; Palczewski, Krzysztof; Wątróbski, Jarosław
    • Sustainability, Vol. 11, Issue 12
    • DOI: 10.3390/su11123314
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