EV charging algorithm implementation with user price preference

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. Charging boxes, equipped with bi-directional communication devices and smart meters, can be remotely monitored by the propos...

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Bibliographic Details
Published in2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) pp. 1 - 5
Main Authors Bin Wang, Boyang Hu, Qiu, Charlie, Chu, Peter, Gadh, Rajit
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.02.2015
Subjects
EV charging scheduling
Load modeling
load prediction
Predictive models
price preferences
Pricing
pricing strategy
Schedules
Servers
Smart grids
Vehicles
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Summary: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. Charging boxes, equipped with bi-directional 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