EV Charging Algorithm Implementation with User Price Preference

Conference · Tue Feb 17 04:00:00 EST 2015

DOI:https://doi.org/10.1109/ISGT.2015.7131895· OSTI ID:1332706

Wang, Bin ^[1]; Hu, Boyang; Qiu, Charlie; Chu, Peter; Gadh, Rajit

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1. Power System Information & Advanced Technologies LADWP Power System Engineering Division

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.

• Research Organization: City of Los Angeles Department
• Sponsoring Organization: USDOE Office of Electricity Delivery and Energy Reliability (OE)
• DOE Contract Number: OE0000192
• OSTI ID: 1332706
• Report Number(s): DOE-UCLA-00192-31
• Country of Publication: United States
• Language: English