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

Title: EV Charging Algorithm Implementation with User Price Preference

Abstract

in this paper, we propose and implement a smart Electric Vehicle (EV) charging algorithm to control the EV charging infrastructures according to users’ price preferences. EVSE (Electric Vehicle Supply Equipment), equipped with bidirectional communication devices and smart meters, can be remotely monitored by the proposed charging algorithm applied to EV control center and mobile app. On the server side, ARIMA model is utilized to fit historical charging load data and perform day-ahead prediction. A pricing strategy with energy bidding policy is proposed and implemented to generate a charging price list to be broadcasted to EV users through mobile app. On the user side, EV drivers can submit their price preferences and daily travel schedules to negotiate with Control Center to consume the expected energy and minimize charging cost simultaneously. The proposed algorithm is tested and validated through the experimental implementations in UCLA parking lots.

Authors:
; ; ; ;
Publication Date:
Research Org.:
City of Los Angeles Department
Sponsoring Org.:
USDOE Office of Electricity Delivery and Energy Reliability (OE)
OSTI Identifier:
1332706
Report Number(s):
DOE-UCLA-00192-31
DOE Contract Number:
OE0000192
Resource Type:
Conference
Resource Relation:
Conference: IEEE ISGT 2015 Washington, DC 17-20 February 2015
Country of Publication:
United States
Language:
English

Citation Formats

Wang, Bin, Hu, Boyang, Qiu, Charlie, Chu, Peter, and Gadh, Rajit. EV Charging Algorithm Implementation with User Price Preference. United States: N. p., 2015. Web. doi:10.1109/ISGT.2015.7131895.
Wang, Bin, Hu, Boyang, Qiu, Charlie, Chu, Peter, & Gadh, Rajit. EV Charging Algorithm Implementation with User Price Preference. United States. doi:10.1109/ISGT.2015.7131895.
Wang, Bin, Hu, Boyang, Qiu, Charlie, Chu, Peter, and Gadh, Rajit. Tue . "EV Charging Algorithm Implementation with User Price Preference". United States. doi:10.1109/ISGT.2015.7131895. https://www.osti.gov/servlets/purl/1332706.
@article{osti_1332706,
title = {EV Charging Algorithm Implementation with User Price Preference},
author = {Wang, Bin and Hu, Boyang and Qiu, Charlie and Chu, Peter and Gadh, Rajit},
abstractNote = {in this paper, we propose and implement a smart Electric Vehicle (EV) charging algorithm to control the EV charging infrastructures according to users’ price preferences. EVSE (Electric Vehicle Supply Equipment), equipped with bidirectional communication devices and smart meters, can be remotely monitored by the proposed charging algorithm applied to EV control center and mobile app. On the server side, ARIMA model is utilized to fit historical charging load data and perform day-ahead prediction. A pricing strategy with energy bidding policy is proposed and implemented to generate a charging price list to be broadcasted to EV users through mobile app. On the user side, EV drivers can submit their price preferences and daily travel schedules to negotiate with Control Center to consume the expected energy and minimize charging cost simultaneously. The proposed algorithm is tested and validated through the experimental implementations in UCLA parking lots.},
doi = {10.1109/ISGT.2015.7131895},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Feb 17 00:00:00 EST 2015},
month = {Tue Feb 17 00:00:00 EST 2015}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share: