Xiaolin Mou
Coil Design for Wireless Vehicle-to-Vehicle Charging Systems
Mou, Xiaolin; Gladwin, Daniel T; Zhao, Rui; Sun, Hongjian; Yang, Zhile
Authors
Abstract
Electric Vehicles (EVs) are seeing increasing worldwide adoption, largely due to their reduced greenhouse gas emissions and reliance on hydrocarbons. Slow advances in battery technology are one of major factors restricting the development of EVs. Many customers worry that their EV may run out of power during a journey, especially in colder climates. This paper proposes a vehicle-to-vehicle (V2V) charging system that works together with charging plug-in EVs, or operates independently. The new V2V charging technology helps to address problems due to a limited number of plug-in stations, as well as to reduce the risk of an EV running out of power during a journey. A novel transmitter coil structure is proposed for wireless V2V charging, to address issues caused by angular offset between the transmitting and receiving EV. Simulation results show that the novel transmitter coil structure is able to generate a stronger magnetic field than benchmark transmitter coils. An experimental prototype has been built for evaluation. Compared with the benchmark transmitter coil constructed from the same amount of materials, the novel transmitter coil structure offers more than 10 percent of efficiency improvement, which demonstrated by the 90% efficiency prototype.
Citation
Mou, X., Gladwin, D. T., Zhao, R., Sun, H., & Yang, Z. (2020). Coil Design for Wireless Vehicle-to-Vehicle Charging Systems. IEEE Access, 8, 172723-172733. https://doi.org/10.1109/access.2020.3025787
Journal Article Type | Article |
---|---|
Acceptance Date | Aug 27, 2020 |
Online Publication Date | Sep 22, 2020 |
Publication Date | 2020 |
Deposit Date | Sep 27, 2020 |
Publicly Available Date | Oct 23, 2020 |
Journal | IEEE Access |
Electronic ISSN | 2169-3536 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Volume | 8 |
Pages | 172723-172733 |
DOI | https://doi.org/10.1109/access.2020.3025787 |
Public URL | https://durham-repository.worktribe.com/output/1255484 |
Files
Published Journal Article
(3.1 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Copyright Statement
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
You might also like
Energy-based Predictive Root Cause Analysis for Real-Time Anomaly Detection in Big Data Systems
(2025)
Presentation / Conference Contribution
Integrated Sensing and Communications With Mixed Fields Using Transmit Beamforming
(2024)
Journal Article
Optimal Energy Scheduling of Digital Twins Based Integrated Energy System
(2024)
Presentation / Conference Contribution
Decarbonising Heating with Power-Hydrogen Optimisation
(2024)
Presentation / Conference Contribution
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search