Mou, X., Zhao, R. and Gladwin, D.T. (2018) Vehicle to Vehicle Charging (V2V) Bases on Wireless Power Transfer Technology. In: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society. IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society, 21-23 Oct 2018, Washington, DC, USA. IEEE , pp. 4862-4867. ISBN 978-1-5090-6684-1
Abstract
The slow development of energy storage technology combined with a limited number of plug-in charging stations negatively affects people's desire to purchase pure battery electric vehicles. A new wireless vehicle-to-vehicle charging technology structure is proposed, which can function with plug-in electric vehicles or operate independently. With a limited number of charging stations this technology can be used to increase charging opportunities through vehicle-to-vehicle (V2V) charging. V2V charging requires a number of technical challenges to be overcome, including the angular offset of the wireless power transfer resonant coils. The mutual inductance between two resonant coils is a key parameter for high power and efficient transfer of power. This paper presents the theory of angular offset multi-turn coil design.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 08 Feb 2019 15:25 |
Last Modified: | 12 Feb 2019 12:11 |
Published Version: | https://doi.org/10.1109/iecon.2018.8592888 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/iecon.2018.8592888 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:141968 |