Cost-Effective and Ecofriendly Plug-In Hybrid Electric Vehicle Charging Management
Abstract
In this study we explore two charging management schemes for plug-in hybrid electric vehicles (PHEVs). The PHEV drivers and the government were stakeholders who might have preferred different charging control strategies. For the former, a proposed controlled charging scheme minimized the operational cost during PHEV charge-depleting and sustaining modes. For the latter, the research minimized monetized carbon dioxide emissions from electricity generation for the PHEVs charging, as well as tailpipe emissions for the portion of PHEV trips fueled by gasoline. Hourly driving patterns and electricity data were leveraged. Both were representative of each of the eight North American Electric Reliability Corporation regions to examine the results of the proposed schemes. The model accounted for drivers' activity patterns and charging availability spatial and temporal heterogeneity. The optimal charging profiles confirmed the differing nature of the objectives of PHEV drivers and the government; cost-effective charge should occur early in the morning, while ecofriendly charge should be late in the afternoon. Each control's trade-offs between operation cost and emission savings are discussed for each North American Electric Reliability Corporation region. The availability of workplace and public charging was found to affect the optimal charging profiles greatly. Charging control is more efficient for driversmore »
- Authors:
-
[1];
- National Renewable Energy Lab. (NREL), Golden, CO (United States). Transportation and Hydrogen Systems Center; Univ. of Florida, Gainesville, FL (United States). Dept. of Civil and Coastal Engineering
- Univ. of Michigan, Ann Arbor, MI (United States). Dept. of Civil and Environmental Engineering; Univ. of Florida, Gainesville, FL (United States). Dept. of Civil and Coastal Engineering
- Shanghai Maritime Univ., Shanghai (China). College of Transport and Communications
- Publication Date:
- Research Org.:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- OSTI Identifier:
- 1392772
- Report Number(s):
- NREL/JA-5400-68509
Journal ID: ISSN 0361-1981
- Grant/Contract Number:
- AC36-08GO28308
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Transportation Research Record: Journal of the Transportation Research Board
- Additional Journal Information:
- Journal Volume: 2628; Journal ID: ISSN 0361-1981
- Publisher:
- National Academy of Sciences, Engineering and Medicine
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 33 ADVANCED PROPULSION SYSTEMS; plug-in hybrid electric vehicles; PHEV; charging management; charging control; electric vehicle charging
Citation Formats
Kontou, Eleftheria, Yin, Yafeng, and Ge, Ying-en. Cost-Effective and Ecofriendly Plug-In Hybrid Electric Vehicle Charging Management. United States: N. p., 2017.
Web. doi:10.3141/2628-10.
Kontou, Eleftheria, Yin, Yafeng, & Ge, Ying-en. Cost-Effective and Ecofriendly Plug-In Hybrid Electric Vehicle Charging Management. United States. https://doi.org/10.3141/2628-10
Kontou, Eleftheria, Yin, Yafeng, and Ge, Ying-en. Sun .
"Cost-Effective and Ecofriendly Plug-In Hybrid Electric Vehicle Charging Management". United States. https://doi.org/10.3141/2628-10. https://www.osti.gov/servlets/purl/1392772.
@article{osti_1392772,
title = {Cost-Effective and Ecofriendly Plug-In Hybrid Electric Vehicle Charging Management},
author = {Kontou, Eleftheria and Yin, Yafeng and Ge, Ying-en},
abstractNote = {In this study we explore two charging management schemes for plug-in hybrid electric vehicles (PHEVs). The PHEV drivers and the government were stakeholders who might have preferred different charging control strategies. For the former, a proposed controlled charging scheme minimized the operational cost during PHEV charge-depleting and sustaining modes. For the latter, the research minimized monetized carbon dioxide emissions from electricity generation for the PHEVs charging, as well as tailpipe emissions for the portion of PHEV trips fueled by gasoline. Hourly driving patterns and electricity data were leveraged. Both were representative of each of the eight North American Electric Reliability Corporation regions to examine the results of the proposed schemes. The model accounted for drivers' activity patterns and charging availability spatial and temporal heterogeneity. The optimal charging profiles confirmed the differing nature of the objectives of PHEV drivers and the government; cost-effective charge should occur early in the morning, while ecofriendly charge should be late in the afternoon. Each control's trade-offs between operation cost and emission savings are discussed for each North American Electric Reliability Corporation region. The availability of workplace and public charging was found to affect the optimal charging profiles greatly. Charging control is more efficient for drivers and government when PHEVs have greater electric range.},
doi = {10.3141/2628-10},
journal = {Transportation Research Record: Journal of the Transportation Research Board},
number = ,
volume = 2628,
place = {United States},
year = {Sun Jan 01 00:00:00 EST 2017},
month = {Sun Jan 01 00:00:00 EST 2017}
}
Search WorldCat to find libraries that may hold this journalWeb of Science
Works referenced in this record:
Spatial and temporal heterogeneity of marginal emissions: Implications for electric cars and other electricity-shifting policies
journal, November 2014
- Graff Zivin, Joshua S.; Kotchen, Matthew J.; Mansur, Erin T.
- Journal of Economic Behavior & Organization, Vol. 107
Socially optimal replacement of conventional with electric vehicles for the US household fleet
journal, April 2017
- Kontou, Eleftheria; Yin, Yafeng; Lin, Zhenhong
- International Journal of Sustainable Transportation, Vol. 11, Issue 10
Works referencing / citing this record:
A heuristically optimized comprehensive charging scheme for large‐scale EV integration
journal, December 2019
- Abbas, Farukh; Feng, Donghan; Habib, Salman
- International Transactions on Electrical Energy Systems, Vol. 30, Issue 5
An Improved Optimal Forecasting Algorithm for Comprehensive Electric Vehicle Charging Allocation
journal, July 2019
- Abbas, Farukh; Feng, Donghan; Habib, Salman
- Energy Technology, Vol. 7, Issue 10
A Method for the Optimization of Daily Activity Chains Including Electric Vehicles
journal, February 2020
- Rizopoulos, Dimitrios; Esztergár-Kiss, Domokos
- Energies, Vol. 13, Issue 4
A Study on Coordinated Optimization of Electric Vehicle Charging and Charging Pile Selection
journal, May 2018
- Chen, Lixing; Huang, Xueliang; Zhang, Hong
- Energies, Vol. 11, Issue 6