BlockEV : Efficient and Secure Charging Station Selection for Electric Vehicles

Danish, Syed Muhammad and Zhang, Kaiwen and Jacobsen, Hans Arno and Ashraf, Nouman and Qureshi, Hassaan Khaliq (2021) BlockEV : Efficient and Secure Charging Station Selection for Electric Vehicles. IEEE Transactions on Intelligent Transportation Systems, 22 (7). pp. 4194-4211. ISSN 1524-9050

Full text not available from this repository. (Request a copy)

Abstract

The Intelligent Transportation System (ITS) has become essential for the economical and technological development of a country. The maturity of communication technologies (Vehicle to Infrastructure (V2I) and Vehicle to Vehicle (V2V)) and the amalgamation of smart grids, electric vehicles (EVs) and energy trading resulted in a storm of research opportunities for green ITS. In addition, the combination of vehicular communication technologies and ITS enable efficient selection of EV charging stations (CS) and scheduling EVs charging requirements in real-time. However, the untrusted centralized nature of energy markets and EV charging infrastructures result in several privacy and security threats to EV user's private information. These security and privacy threats include targeted advertisements, privacy leakage, selling data to third party, etc. In this work, we propose BlockEV, a blockchain-based efficient CS selection protocol for EVs to ensure the security and privacy of the EV users, availability of the reserved time slots at CSs, high Quality of Service (QoS) and enhanced EV user comfort. First, a blockchain-based framework is introduced to implement secure charging services and trusted reservation for EVs with the execution of smart contract. Second, we focus on the efficient CS selection and propose a mechanism for EVs to select the CS locally without sharing private information to CS, while fulfilling their service requirements. Evaluations show that the proposed BlockEV is scalable with significantly low blockchain transaction and storage overhead.

Item Type:	Article
Additional Information:	Funding Information: Manuscript received January 30, 2020; revised April 18, 2020, July 1, 2020, and September 30, 2020; accepted November 23, 2020. Date of publication December 29, 2020; date of current version July 12, 2021. This work was supported in part by the Natural Sciences and Engineering Research Council of Canada (NSERC) and in part by Bitfarms Company under Grant CRDPJ 533995-18. The Associate Editor for this article was S. Mumtaz. (Corresponding author: Syed Muhammad Danish.) Syed Muhammad Danish and Kaiwen Zhang are with the FUSÉE Laboratory, École de technologie supérieure, Montreal, QC H3C 1K3, Canada (e-mail: syed-muhammad.danish.1@ens.etsmtl.ca; kaiwen.zhang@etsmtl.ca). Publisher Copyright: © 2000-2011 IEEE.
Uncontrolled Keywords:	/dk/atira/pure/subjectarea/asjc/2200/2203
Departments or Groups:
Depositing User:	Admin SSL
Date Deposited:	19 Oct 2022 23:01
Last Modified:	11 Aug 2023 22:40
URI:	http://repository-testing.wit.ie/id/eprint/3654

Actions (login required)

View Item