Cited by 238Blockchain Technology Applications and SecurityElectric Vehicles and InfrastructureVehicular Ad Hoc Networks (VANETs)

Privacy-preserving Blockchain-based electric vehicle charging with dynamic tariff decisions

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Knirsch, Fabian, Unterweger, Andreas, Engel, Dominik·2018·Computer Science - Research and Development

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.

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  • Important efforts are needed to make blockchain-based architectures for electric vehicle recharging sufficiently scalable.

    “However, important efforts are needed to make the blockchain-based architectures sufficiently scalable [88]; in fact, over the years the number of motorists and suppliers who could decide to join the electric vehicle ecosystem could dramatically grow.”

    From A Review of Blockchain-Based Systems in Transportation (2019) · cites this paper as [88]

  • The use of smart contracts and a blockchain can promote safe auction mechanisms for matching energy demand and supply for electric vehicle recharging.

    “An important branch of research concerns electric vehicles and, in particular, the matching between the demand and supply of energy for recharging: the use of smart contracts and a blockchain can indeed promote safe auction mechanisms [88,89].”

    From A Review of Blockchain-Based Systems in Transportation (2019) · cites this paper as [88]

  • Some documents in macro-clusters C1 and C2 propose new platforms just at a concept level.

    “Some of them propose new platforms just at a concept level [45,51,52,75,77,83,84,88,89,91], some of them present proofs of their concepts [76,79,81], and only three of them present a real implementation based on real blockchains: [78,80,82].”

    From A Review of Blockchain-Based Systems in Transportation (2019) · cites this paper as [88]

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Authors
Knirsch, F., Unterweger, A., & Engel, D.
Affiliations
Fachhochschule Salzburg (AT)
Corresponding author
Knirsch, Fabian
Venue
Computer Science - Research and Development
Published
2017-09-04
Volume
33
Issue
1-2
Pages
71-79
ISSN
  • 1865-2034 (ISSN-L)
  • 1865-2042
OpenAlex
W2752263663
Cited by
238
References
25
Citations by year
2026: 6 · 2025: 13 · 2024: 25 · 2023: 24 · 2022: 40 · 2021: 43 · 2020: 43 · 2019: 31 · 2018: 13
FWCI
44.26
Type
journal article
Language
en
Open access
Locations
Computer Science - Research and Development (publishedVersion, cc-by)
Funders
FH Salzburg - University of Applied Sciences
Topics
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
Keywords
electric vehicle charging, blockchain, privacy preservation, dynamic pricing, charging station selection, smart grid, vehicle tracking, targeted advertising, energy tariffs

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