Paper Info
Title
Privacy-preserving blockchain-based electric vehicle charging with dynamic tariff decisions.
Abstract
Electric vehicles are gaining widespread adoption and are a key component in the establishment of the smart grid. Beside the increasing number of electric vehicles, a dense and widespread charging infrastructure will be required. This offers the opportunity for a broad range of different energy providers and charging station operators, both of which can offer energy at different prices depending on demand and supply. While customers benefit from a liberalized market and a wide selection of tariff options, such dynamic pricing use cases are subject to privacy issues and allow to detect the customer’s position and to track vehicles for, e.g., targeted advertisements. In this paper we present a reliable, automated and privacy-preserving selection of charging stations based on pricing and the distance to the electric vehicle. The protocol builds on a blockchain where electric vehicles signal their demand and charging stations send bids similar to an auction. The electric vehicle owner then decides on a particular charging station based on the supply-side offers it receives. This paper shows that the use of blockchains increases the reliability and the transparency of this approach while preserving the privacy of the electric vehicle owners.
Year
DOI
Venue
2018
10.1007/s00450-017-0348-5
Computer Science - R&D
Keywords
Field
DocType
Blockchain, Privacy, Electric vehicles
Transparency (graphic),Use case,Smart grid,Computer security,Dynamic pricing,Charging station,Computer science,Electric vehicle,Tariff,Blockchain
Journal
Volume
Issue
ISSN
33
1-2
1865-2034
Citations 
PageRank 
References 
11
0.65
11
Authors
3
Name
Order
Citations
PageRank
Fabian Knirsch1264.07
Andreas Unterweger2202.92
Dominik Engel320625.60