Research on Energy Trading Mechanism of New Energy Vehicles Based on Cobweb Model under Blockchain

被引：0

作者：

Zhang H. ^{[1
,2
]}

Xu P. ^{[1
,2
]}

Wang R. ^{[1
,2
]}

He X. ^{[3
]}

Liu F. ^{[4
]}

机构：

[1] School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing

[2] Chongqing Key Laboratory of Ubiquitous Perception and Interconnection, Chongqing

[3] School of Electronic Information, Wuhan University, Wuhan

[4] Chongqing Urban Lighting Center, Chongqing

来源：

Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2023年 / 45卷 / 12期

基金：

中国国家自然科学基金;

关键词：

Blockchain; Convergent spider web; Energy trading; Internet of vehicular; New energy vehicles;

D O I：

10.11999/JEIT221386

中图分类号：

学科分类号：

摘要：

Considering how to solve the problem of insufficient driving timeliness under the constraint of limited on-board energy resources of new energy vehicles, a distributed energy trading mechanism under the blockchain is proposed. Firstly, a new energy vehicle energy trading network based on the blockchain is built, and the privacy of energy trading through the Proof of Reputation (PoR) consensus mechanism is ensured. Then, based on the convergent spider web, a nonlinear pricing negotiation algorithm is designed, which combines with the blockchain technology to store the vehicle reputation database in a distributed way, to ensure that both energy trading parties can at least obtain the optimal pricing under the condition of meeting the weak Pareto effect. Finally, through simulation, the effectiveness and convergence of the proposed algorithm under the blockchain are verified, and the optimal step size and its coefficients of the algorithm are obtained. © 2023 Science Press. All rights reserved.

引用

页码：4245 / 4253

页数：8

共 22 条

[1]

CONNOR W D, WANG Yongqiang, MALIKOPOULOS A A, Et al., Impact of connectivity on energy consumption and battery life for electric vehicles[J], IEEE Transactions on Intelligent Vehicles, 6, 1, pp. 14-23, (2021)

[2]

TIAN Daxin, ZHOU Jianshan, WANG Yunpeng, Et al., Channel access optimization with adaptive congestion pricing for cognitive vehicular networks: An evolutionary game approach[J], IEEE Transactions on Mobile Computing, 19, 4, pp. 803-820, (2020)

[3]

HASSIJA V, CHAMOLA V, GARG S, Et al., A blockchain-based framework for lightweight data sharing and energy trading in V2G network[J], IEEE Transactions on Vehicular Technology, 69, 6, pp. 5799-5812, (2020)

[4]

MACHURA P, DE SANTIS V, Quan LI, Driving range of electric vehicles charged by wireless power transfer[J], IEEE Transactions on Vehicular Technology, 69, 6, pp. 5968-5982, (2020)

[5]

BULUT E, KISACIKOGLU M C, AKKAYA K., Spatio-temporal non-intrusive direct V2V charge sharing coordination[J], IEEE Transactions on Vehicular Technology, 68, 10, pp. 9385-9398, (2019)

[6]

OCEANO A, RODELLA C, RIZZO R, Et al., Grid balancing support through Electric Vehicles mobile storage[C], 2020 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), pp. 108-113, (2020)

[7]

PARK L, JEONG S, LAKEW D S, Et al., New challenges of wireless power transfer and secured billing for internet of electric vehicles[J], IEEE Communications Magazine, 57, 3, pp. 118-124, (2019)

[8]

UCER E, BUCKREUS R, KISACIKOGLU M C, Et al., A flexible V2V charger as a new layer of vehicle-grid integration framework[C], 2019 IEEE Transportation Electrification Conference and Expo (ITEC), pp. 1-7, (2019)

[9]

WANG Jiashuo, Analyzing the application of blockchain and artificial intelligence in new energy vehicle transactions from a data security perspective[C], 2022 6th International Conference on Trends in Electronics and Informatics (ICOEI), pp. 992-995, (2022)

[10]

OKWUIBE G C, Zeguang LI, BRENNER T, Et al., A blockchain based electric vehicle smart charging system with flexibility[J], IFAC-PapersOnLine, 53, 2, pp. 13557-13561, (2020)

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