Methodology for the design of multi-source transmitters dedicated to perpendicular dynamic wireless power transfer: theoretical study

Beghou Lotfi; Beghou Lotfi

doi:10.1017/wpt.2017.20

2018 Volume 5

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Methodology for the design of multi-source transmitters dedicated to perpendicular dynamic wireless power transfer: theoretical study

Beghou Lotfi^,

Electrical and Computer Engineering, University of British Columbia, Vancouver, British Columbia, Canada V6T 1Z4

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Author Bio:
Lotfi Beghou received his engineering degree in power electronics and electromagnetics from the University of Constantine, Algeria, in 2005. He has received the MSc and the Ph.D. degrees from the university of Paris sud, France, in 2006 and 2012. He has worked as a postdoctoral researcher in power electronics and electromagnetics at Dartmouth College, University of North Carolina and University of British Columbia. His research interests include, applied electromagnetics, power electronics and electromagnetic compatibility
Corresponding author: L. Beghou Email: lotfi.beghou@gmail.com

Wireless Power Transfer 2018, 5(1): 54-63 | Cite this article

Abstract

In this paper, a theoretical study for the design of multi-source transmitters suitable for perpendicular dynamic wireless power transfer is presented. Unlike conventional systems, the concept presented here overcomes the traditional limitation on the receiver's orientation by providing an optimal distribution of the transmitted energy obtained by using different sources. For this purpose, a theoretical study of different transmitters has been achieved by solving the inverse problem. Comparison with conventional single-source transmitters carrying the same total current as the multi-source transmitters, shows a significant enhancement of the power gain when a Genetic Algorithm is used. The obtained theoretical results show power gain levels over 7.5 dB for different path lengths at different heights. At the end, a solution for a path of an infinite length is presented.
- Wireless power transfer,
- Inverse problem,
- Genetic Algorithm

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Beghou L. 2018. Methodology for the design of multi-source transmitters dedicated to perpendicular dynamic wireless power transfer: theoretical study. Wireless Power Transfer 5(1): 54-63 doi: 10.1017/wpt.2017.20

Beghou L. 2018. Methodology for the design of multi-source transmitters dedicated to perpendicular dynamic wireless power transfer: theoretical study. Wireless Power Transfer 5(1): 54-63 doi: 10.1017/wpt.2017.20

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Methodology for the design of multi-source transmitters dedicated to perpendicular dynamic wireless power transfer: theoretical study

Beghou Lotfi^,

Electrical and Computer Engineering, University of British Columbia, Vancouver, British Columbia, Canada V6T 1Z4

Author Bio:
Lotfi Beghou received his engineering degree in power electronics and electromagnetics from the University of Constantine, Algeria, in 2005. He has received the MSc and the Ph.D. degrees from the university of Paris sud, France, in 2006 and 2012. He has worked as a postdoctoral researcher in power electronics and electromagnetics at Dartmouth College, University of North Carolina and University of British Columbia. His research interests include, applied electromagnetics, power electronics and electromagnetic compatibility
Corresponding author: L. Beghou Email: lotfi.beghou@gmail.com

Wireless Power Transfer 5, Article number: 10.1017/wpt.2017.20 (2018) | Cite this article

Abstract: In this paper, a theoretical study for the design of multi-source transmitters suitable for perpendicular dynamic wireless power transfer is presented. Unlike conventional systems, the concept presented here overcomes the traditional limitation on the receiver's orientation by providing an optimal distribution of the transmitted energy obtained by using different sources. For this purpose, a theoretical study of different transmitters has been achieved by solving the inverse problem. Comparison with conventional single-source transmitters carrying the same total current as the multi-source transmitters, shows a significant enhancement of the power gain when a Genetic Algorithm is used. The obtained theoretical results show power gain levels over 7.5 dB for different path lengths at different heights. At the end, a solution for a path of an infinite length is presented.

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