skip to main content
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Data-driven optimal charging decision making for connected and automated electric vehicles: A personal usage scenario

Authors:
ORCiD logo; ORCiD logo
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1549018
Grant/Contract Number:  
AC07-05ID14517
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Transportation Research Part C: Emerging Technologies
Additional Journal Information:
Journal Name: Transportation Research Part C: Emerging Technologies Journal Volume: 86 Journal Issue: C; Journal ID: ISSN 0968-090X
Publisher:
Elsevier
Country of Publication:
United Kingdom
Language:
English

Citation Formats

Yi, Zonggen, and Shirk, Matthew. Data-driven optimal charging decision making for connected and automated electric vehicles: A personal usage scenario. United Kingdom: N. p., 2018. Web. doi:10.1016/j.trc.2017.10.014.
Yi, Zonggen, & Shirk, Matthew. Data-driven optimal charging decision making for connected and automated electric vehicles: A personal usage scenario. United Kingdom. doi:10.1016/j.trc.2017.10.014.
Yi, Zonggen, and Shirk, Matthew. Mon . "Data-driven optimal charging decision making for connected and automated electric vehicles: A personal usage scenario". United Kingdom. doi:10.1016/j.trc.2017.10.014.
@article{osti_1549018,
title = {Data-driven optimal charging decision making for connected and automated electric vehicles: A personal usage scenario},
author = {Yi, Zonggen and Shirk, Matthew},
abstractNote = {},
doi = {10.1016/j.trc.2017.10.014},
journal = {Transportation Research Part C: Emerging Technologies},
number = C,
volume = 86,
place = {United Kingdom},
year = {2018},
month = {1}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1016/j.trc.2017.10.014

Citation Metrics:
Cited by: 10 works
Citation information provided by
Web of Science

Save / Share: