Building a Private Bitcoin-based Payment Network among Electric Vehicles and Charging Stations

被引:14
作者
Erdin, Enes [1 ]
Cebe, Mumin [1 ]
Akkaya, Kemal [1 ]
Solak, Senay [2 ]
Bulut, Eyuphan [3 ]
Uluagac, Selcuk [1 ]
机构
[1] Florida Int Univ, Miami, FL 33199 USA
[2] Univ Massachusetts Amherst, Amherst, MA USA
[3] Virginia Commonwealth Univ, Richmond, VA USA
来源
IEEE 2018 INTERNATIONAL CONGRESS ON CYBERMATICS / 2018 IEEE CONFERENCES ON INTERNET OF THINGS, GREEN COMPUTING AND COMMUNICATIONS, CYBER, PHYSICAL AND SOCIAL COMPUTING, SMART DATA, BLOCKCHAIN, COMPUTER AND INFORMATION TECHNOLOGY | 2018年
关键词
Vehicular Networks; Electric Vehicles; Charging; Vehicle-to-Grid Communication; Blockchain; Bitcoin; Payment Network;
D O I
10.1109/Cybermatics_2018.2018.00269
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:1609 / 1615
页数:7
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