DocumentCode :
266325
Title :
SmartCar: Smart charging and driving control for electric vehicles in the smart grid
Author :
Lei Rao ; Jianguo Yao
Author_Institution :
Electr. & Controls Syst. Res. Lab., Generao Motors Corp., Palo Alto, CA, USA
fYear :
2014
fDate :
8-12 Dec. 2014
Firstpage :
2709
Lastpage :
2714
Abstract :
Electric vehicle (EV) is the next-generation vehicle powered by electricity. Keeping EVs charged and ready to go will require a tight integration and coordination of an infrastructure of equipment connected to the power grid for vehicle charging and a new IT management system for monitoring, analyzing and controlling the vehicle charging. Smart grid technologies have brought opportunities to solve challenges in the EV ecosystem. Both academia and industry have been seeking technologies and applications to optimize an EV driver´s driving cost. However, it still remains an open problem of how to handle the driving demand uncertainty and the electricity price uncertainty for EV charging. To address this challenge, we model the driving cost minimization problem and formulate it as an optimization problem. While the driver demand and the electricity price are varying with time, we leverage the Model Predictive Control (MPC) based method to design a dynamic charging (controlling when to charge and how much to charge) and driving (controlling the switching between electric driven mode and gasoline driven mode during the driving process) control scheme. Performance evaluation results demonstrate the effectiveness and cost efficiency of our approach.
Keywords :
battery powered vehicles; minimisation; predictive control; smart power grids; EV charging; IT management system; MPC based method; driver demand; driving cost minimization problem; dynamic charging; electric driven mode; electric vehicles; electricity price uncertainty; gasoline driven mode; model predictive control; power grid; smart driving control; smart grid technology; smart vehicle charging; smartcar; Batteries; Electricity; Petroleum; Smart grids; Uncertainty; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Communications Conference (GLOBECOM), 2014 IEEE
Conference_Location :
Austin, TX
Type :
conf
DOI :
10.1109/GLOCOM.2014.7037217
Filename :
7037217
Link To Document :
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