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On the prediction of electric vehicles energy demand by using vehicular networks | IEEE Conference Publication | IEEE Xplore

On the prediction of electric vehicles energy demand by using vehicular networks


Abstract:

In this paper, we propose a comprehensive architecture based on vehicular communication technologies, considering vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (...Show More

Abstract:

In this paper, we propose a comprehensive architecture based on vehicular communication technologies, considering vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications. In addition, we present a study about EVs charging load. Our proposal addresses three main issues: (i) knowledge of the number of vehicles that are going to recharge their batteries at a particular point and instant, (ii) knowledge of the available charging points, and (iii) predicting the electricity demand. Results show that our system is able to predict the electricity requirements of the EVs that are expected to recharge their batteries up to 180 minutes in advance.
Published in: 2017 Wireless Days
Date of Conference: 29-31 March 2017
Date Added to IEEE Xplore: 04 May 2017
ISBN Information:
Conference Location: Porto, Portugal

References

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