Reputation-based Wireless On-road Vehicle-to-vehicle Energy Trading in Vehicular Energy Networks

Shuying Lai; Zhao Yang Dong; Yuechuan Tao; Christine Yip; Jing Qiu; Junhua Zhao

doi:10.1109/JIOT.2025.3623275

Reputation-based Wireless On-road Vehicle-to-vehicle Energy Trading in Vehicular Energy Networks

Shuying Lai
, Zhao Yang Dong^*
, Yuechuan Tao^*
, Christine Yip
, Jing Qiu
, Junhua Zhao

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Abstract

Wireless on-road charging is an emerging charging method in addition to plug-in charging. And it is a promising application for the future smart grid. Hence, in this paper, a reputation-based wireless on-road vehicle-to-vehicle (V2V) energy trading strategy is formulated in vehicular energy networks. First, a three-stage wireless V2V energy trading algorithm is established to capture the interaction between charging electric vehicles (EVs) and discharging EVs and obtain the optimal energy trading matching results. Second, the trustworthiness of the discharging EV is evaluated using the proposed reputation index. Both explicit reputation and implicit reputation indices are incorporated to rigorously derive the real-time reputation index based on the consortium blockchain system. Third, two irrational behaviors of EV users, namely, the weighting effect and range anxiety, are mathematically modeled based on Prospect theory. Numerical results indicate that efficient wireless energy matching can be achieved. Moreover, the proposed wireless V2V energy trading strategy is effective in increasing the utility of both charging EVs and discharging EVs. © 2025 IEEE.

Original language	English
Journal	IEEE Internet of Things Journal
DOIs	https://doi.org/10.1109/JIOT.2025.3623275
Publication status	Online published - 5 Nov 2025

Funding

This work is supported by Hong Kong government ITF RTH scheme, the Australian Research Council (ARC) Research Hub Grant IH180100020, the ARC Training Centre IC200100023, the ARC linkage project LP200100056 and the ARC DP220103881. This work is also supported by the National Natural Science Foundation of China (72061147004, 72342001, 72171206), the Research Project of Department of Science and Technology of Hunan Province (2025JJ10009, 2022RC4025, 2025QK1004, 2023JJ50312, 2023JJ50010, 2024RC9012), and Huawei Technologies Co., Ltd (9220190). This work is partially supported by JC STEM Lab of Future Energy Systems (2025-0039), Global STEM Professorship (GSP313), and a Startup Grant of City University of Hong Kong (Data Driven Real Time Smart Energy Management System Supporting Energy Transition). This work is also partially supported by the Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), the Shenzhen Key Lab of Crowd Intelligence Empowered Low-Carbon Energy Network (No. ZDSYS20220606100601002). The corresponding authors are Zhao Yang Dong and Yuechuan Tao.

Research Keywords

range anxiety
reputation index
weighting effect
Wireless on-road vehicle-to-vehicle energy trading

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10.1109/JIOT.2025.3623275

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@article{73d4ff0b241f44dab62e1bab744f4427,

title = "Reputation-based Wireless On-road Vehicle-to-vehicle Energy Trading in Vehicular Energy Networks",

abstract = "Wireless on-road charging is an emerging charging method in addition to plug-in charging. And it is a promising application for the future smart grid. Hence, in this paper, a reputation-based wireless on-road vehicle-to-vehicle (V2V) energy trading strategy is formulated in vehicular energy networks. First, a three-stage wireless V2V energy trading algorithm is established to capture the interaction between charging electric vehicles (EVs) and discharging EVs and obtain the optimal energy trading matching results. Second, the trustworthiness of the discharging EV is evaluated using the proposed reputation index. Both explicit reputation and implicit reputation indices are incorporated to rigorously derive the real-time reputation index based on the consortium blockchain system. Third, two irrational behaviors of EV users, namely, the weighting effect and range anxiety, are mathematically modeled based on Prospect theory. Numerical results indicate that efficient wireless energy matching can be achieved. Moreover, the proposed wireless V2V energy trading strategy is effective in increasing the utility of both charging EVs and discharging EVs. {\textcopyright} 2025 IEEE.",

keywords = "range anxiety, reputation index, weighting effect, Wireless on-road vehicle-to-vehicle energy trading",

author = "Shuying Lai and Dong, \{Zhao Yang\} and Yuechuan Tao and Christine Yip and Jing Qiu and Junhua Zhao",

year = "2025",

month = nov,

day = "5",

doi = "10.1109/JIOT.2025.3623275",

language = "English",

journal = "IEEE Internet of Things Journal",

issn = "2327-4662",

publisher = "IEEE",

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TY - JOUR

T1 - Reputation-based Wireless On-road Vehicle-to-vehicle Energy Trading in Vehicular Energy Networks

AU - Lai, Shuying

AU - Dong, Zhao Yang

AU - Tao, Yuechuan

AU - Yip, Christine

AU - Qiu, Jing

AU - Zhao, Junhua

PY - 2025/11/5

Y1 - 2025/11/5

N2 - Wireless on-road charging is an emerging charging method in addition to plug-in charging. And it is a promising application for the future smart grid. Hence, in this paper, a reputation-based wireless on-road vehicle-to-vehicle (V2V) energy trading strategy is formulated in vehicular energy networks. First, a three-stage wireless V2V energy trading algorithm is established to capture the interaction between charging electric vehicles (EVs) and discharging EVs and obtain the optimal energy trading matching results. Second, the trustworthiness of the discharging EV is evaluated using the proposed reputation index. Both explicit reputation and implicit reputation indices are incorporated to rigorously derive the real-time reputation index based on the consortium blockchain system. Third, two irrational behaviors of EV users, namely, the weighting effect and range anxiety, are mathematically modeled based on Prospect theory. Numerical results indicate that efficient wireless energy matching can be achieved. Moreover, the proposed wireless V2V energy trading strategy is effective in increasing the utility of both charging EVs and discharging EVs. © 2025 IEEE.

AB - Wireless on-road charging is an emerging charging method in addition to plug-in charging. And it is a promising application for the future smart grid. Hence, in this paper, a reputation-based wireless on-road vehicle-to-vehicle (V2V) energy trading strategy is formulated in vehicular energy networks. First, a three-stage wireless V2V energy trading algorithm is established to capture the interaction between charging electric vehicles (EVs) and discharging EVs and obtain the optimal energy trading matching results. Second, the trustworthiness of the discharging EV is evaluated using the proposed reputation index. Both explicit reputation and implicit reputation indices are incorporated to rigorously derive the real-time reputation index based on the consortium blockchain system. Third, two irrational behaviors of EV users, namely, the weighting effect and range anxiety, are mathematically modeled based on Prospect theory. Numerical results indicate that efficient wireless energy matching can be achieved. Moreover, the proposed wireless V2V energy trading strategy is effective in increasing the utility of both charging EVs and discharging EVs. © 2025 IEEE.

KW - range anxiety

KW - reputation index

KW - weighting effect

KW - Wireless on-road vehicle-to-vehicle energy trading

UR - https://www.scopus.com/pages/publications/105020885050

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-105020885050&origin=recordpage

U2 - 10.1109/JIOT.2025.3623275

DO - 10.1109/JIOT.2025.3623275

M3 - RGC 21 - Publication in refereed journal

SN - 2327-4662

JO - IEEE Internet of Things Journal

JF - IEEE Internet of Things Journal

ER -

Reputation-based Wireless On-road Vehicle-to-vehicle Energy Trading in Vehicular Energy Networks

Abstract

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Research Keywords

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DON: Research on Electricity Price Forecasting, Photovoltaic-StorageCharging Coordination, and Power Market Trading Strategies

Cite this

Reputation-based Wireless On-road Vehicle-to-vehicle Energy Trading in Vehicular Energy Networks

Abstract

Funding

Research Keywords

Access Output

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Projects

DON: Research on Electricity Price Forecasting, Photovoltaic-Storage­Charging Coordination, and Power Market Trading Strategies

Cite this

DON: Research on Electricity Price Forecasting, Photovoltaic-StorageCharging Coordination, and Power Market Trading Strategies