Building a Private Bitcoin-Based Payment Network Among Electric Vehicles and Charging Stations | IEEE Conference Publication | IEEE Xplore

Building a Private Bitcoin-Based Payment Network Among Electric Vehicles and Charging Stations


Abstract:

Mass penetration and market dominance of Electric Vehicles (EVs) are expected in the upcoming years. Due to their frequent charging needs, not only public and private cha...Show More

Abstract:

Mass penetration and market dominance of Electric Vehicles (EVs) are expected in the upcoming years. Due to their frequent charging needs, not only public and private charging stations are being built, but also V2V charging options are considered. This forms a charging network with various suppliers and EV customers which can communicate to schedule charging operations. While an app can be designed to develop matching algorithms for charging schedules, the system also needs a convenient payment method that will enable privacy-preserving transactions among the suppliers and EVs. In this paper, we adopt a Bitcoin-based payment system for the EV charging network payments. However, Bitcoin has a transaction fee which would be comparable to the price of the charging service most of the time and thus may not be attractive to users. High transaction fees can be eliminated by building a payment network in parallel to main ledger, with permission and signatures. In this paper, we design and implement such a network among charging stations and mobile EVs with flow, connectivity and fairness constraints, and demonstrate results for the feasibility of the scheme under different circumstances. More specifically, we propose a payment network optimization model for determining payment channels among charging stations. We present numerical results on the characteristics of the network model by using realistic use cases.
Date of Conference: 30 July 2018 - 03 August 2018
Date Added to IEEE Xplore: 03 June 2019
ISBN Information:
Conference Location: Halifax, NS, Canada
References is not available for this document.

I. Introduction

The popularity of electric vehicles (EVs) has been increasing since they can transform the modern transportation and energy systems with a reduced foreign-oil dependence and improved urban air quality. They can promote adoption of intermittent renewable energy sources by acting as energy storage systems [1] during the periods of strong wind or sun [2]. EVs can also help in realizing the foundation of smart cities of the future by injecting energy to the grid during periods of reduced production to balance demand. Due to such potential, many automotive companies have rolled out EVs as part of their product lines [3], [4]. As a result, mass penetration and market dominance of EVs are expected in the upcoming years, particularly with reduced production costs.

Select All
1.
T. Markel, M. Kuss and P. Denholm, "Communication and control of electric drive vehicles supporting renewables", Proc. of IEEE Vehicle Power and Propulsion Conference VPPC'09, pp. 27-34.
2.
N. DeForest, J. Funk, A. Lorimer, B. Ur, I. Sidhu, P. Kaminsky, et al., "Impact of widespread electric vehicle adoption on the electrical utility business-threats and opportunities", Center for Entrepreneurship and Tech. (CET) Technical Brief, no. 2009.5, 2009.
3.
Tesla Motors-High Performance Electric Vehicles.
4.
Nissan LEAF Electric Car, 2017.
5.
State of the charge report.
6.
E. W. Wood, C. L. Rames, M. Muratori, S. Srinivasa and M. W. Melaina, "National plug-in electric vehicle infrastructure analysis", National Renewable Energy Laboratory Tech. Rep., 2017.
7.
PlugShare, 2017.
8.
R. Alvaro-Hermana, J. Fraile-Ardanuy, P. J. Zufiria, L. Knapen and D. Janssens, "Peer to peer energy trading with electric vehicles", IEEE Intelligent Transportation Systems Magazine, vol. 8, no. 3, pp. 33-44, 2016.
9.
J. Kang, R. Yu, X. Huang, S. Maharjan, Y. Zhang and E. Hossain, "Enabling localized peer-to-peer electricity trading among plug-in hybrid electric vehicles using consortium blockchains", IEEE Transactions on Industrial Informatics, 2017.
10.
E. Bulut and M. Kisacikoglu, "Mitigating range anxiety via vehicle-to-vehicle social charging system", Proceedings of Vehicular Technology Conference (VTC Spring), 2017.
11.
"Charles morris", A. P. introduces portable DC fast charger, 2013.
12.
M. Yamauchi, How far can you really drive in an electric vehicle? ev range comparison map, 2017.
13.
A. Cavoukian, J. Polonetsky and C. Wolf, "Smartprivacy for the smart grid: embedding privacy into the design of electricity conservation", Identity in the Information Society, vol. 3, no. 2, pp. 275-294, 2010.
14.
J. Freudiger, R. Shokri and J.-P. Hubaux, "Evaluating the privacy risk of location-based services" in Financial Cryptography, Springer, vol. 7035, pp. 31-46, 2011.
15.
Z. Yang, S. Yu, W. Lou and C. Liu, "Privacy-preserving communication and precise reward architecture for v2g networks in smart grid", IEEE Transactions on Smart Grid, vol. 2, no. 4, pp. 697-706, 2011.
16.
M. Stegelmann and D. Kesdogan, "Design and evaluation of a privacy-preserving architecture for vehicle-to-grid interaction", European Public Key Infrastructure Workshop., pp. 75-90, 2011.
17.
Y. Cao, N. Wang, G. Kamel and Y.-J. Kim, "An electric vehicle charging management scheme based on publish/subscribe communication framework", IEEE Systems Journal, 2015.
18.
S. Han, U. Topcu and G. J. Pappas, "Differentially private distributed protocol for electric vehicle charging", Communication Control and Computing (Allerton) 2014 52nd Annual Allerton Conference, pp. 242-249, 2014.
19.
M. Wang, M. Ismail, R. Zhang, X. Shen, E. Serpedin and K. Qaraqe, "Spatio-temporal coordinated v2v fast charging strategy for mobile gevs via price control", IEEE Transactions on Smart Grid, 2016.
20.
PlugAmerica, 2017.
21.
Bitcoin's high transaction fees show its limits.
22.
J. Poon and T. Dryja, "The bitcoin lightning network: Scalable off-chain instant payments", Technical Report (draft), 2015.
23.
Fast cheap scalable token transfers for ethereum.
24.
W. Han and Y. Xiao, "Privacy preservation for v2g networks in smart grid: A survey", Computer Communications, vol. 91, pp. 17-28, 2016.
25.
M. Stegelmann and D. Kesdogan, "Location privacy for vehicle-to-grid interaction through battery management", Information Technology: New Generations (ITNG) 2012 Ninth International Conference, pp. 373-378.
26.
S. Thomas and E. Schwartz, A protocol for interledger payments, 2015.
27.
L. N. Team, Atomic cross-chain trading.
28.
G. Malavolta, P. Moreno-Sanchez, A. Kate, M. Maffei and S. Ravi, "Concurrency and privacy with payment-channel networks", Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, pp. 455-471, 2017.
29.
P. Prihodko, S. Zhigulin, M. Sahno, A. Ostrovskiy and O. Osuntokun, Flare: An approach to routing in lightning network, 2016.
30.
R. Pass et al., "Micropayments for decentralized currencies", Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security, pp. 207-218, 2015.

Contact IEEE to Subscribe

References

References is not available for this document.