An Intelligent Metasurface-Based Wireless Power Transfer System

Emrullah Aydin; Ali Riza Ekti; Shajjad Chowdhury; Omer C. Onar; Elizabeth Piersall

doi:10.1109/ECCE53617.2023.10362540

An Intelligent Metasurface-Based Wireless Power Transfer System

Emrullah Aydin
, Ali Riza Ekti
, Shajjad Chowdhury
, Omer C. Onar
, Elizabeth Piersall

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Wireless Power Transfer (WPT) systems are getting more popular in recent years in a wide range of application areas. However, the performance of wireless power transfer systems is adversely affected by coil misalignment and increased power transfer distance. To overcome the limitations, the proposed method in this paper will place an intelligent controllable metasurface between the transmitter and receiver coils. The goal is to establish the feasibility of a metasurface-assisted, intelligent WPT charging system by variable coil design and angle of arrival estimation using machine learning for multiple misalignment cases. We will feed these angles of arrival data to reconfigure the metasurface. The inclusion of a controllable metasurface will improve efficiency and increase the power transfer distance.

Original language	English
Title of host publication	2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	6550-6552
Number of pages	3
ISBN (Electronic)	9798350316445
DOIs	https://doi.org/10.1109/ECCE53617.2023.10362540
State	Published - 2023
Event	2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023 - Nashville, United States Duration: Oct 29 2023 → Nov 2 2023

Publication series

Name	2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

Conference

Conference	2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023
Country/Territory	United States
City	Nashville
Period	10/29/23 → 11/2/23

Funding

This manuscript has been authored by UT-Battelle LLC under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doepublic-access-plan). The author Emrullah Aydin would like to thank the Scientific and Technological Research Council of Türkiye (TUBITAK) for supporting this research within the scope of the 2219 International Postdoctoral Research Fellowship Program.

Keywords

Coil design
Metasurface
Misalignment
Wireless power transfer

Access to Document

10.1109/ECCE53617.2023.10362540

Cite this

Aydin, E., Ekti, A. R., Chowdhury, S., Onar, O. C., & Piersall, E. (2023). An Intelligent Metasurface-Based Wireless Power Transfer System. In 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023 (pp. 6550-6552). (2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE53617.2023.10362540

@inproceedings{f86311f8f88b48ec8fb16e207e5f79f2,

title = "An Intelligent Metasurface-Based Wireless Power Transfer System",

abstract = "Wireless Power Transfer (WPT) systems are getting more popular in recent years in a wide range of application areas. However, the performance of wireless power transfer systems is adversely affected by coil misalignment and increased power transfer distance. To overcome the limitations, the proposed method in this paper will place an intelligent controllable metasurface between the transmitter and receiver coils. The goal is to establish the feasibility of a metasurface-assisted, intelligent WPT charging system by variable coil design and angle of arrival estimation using machine learning for multiple misalignment cases. We will feed these angles of arrival data to reconfigure the metasurface. The inclusion of a controllable metasurface will improve efficiency and increase the power transfer distance.",

keywords = "Coil design, Metasurface, Misalignment, Wireless power transfer",

author = "Emrullah Aydin and Ekti, \{Ali Riza\} and Shajjad Chowdhury and Onar, \{Omer C.\} and Elizabeth Piersall",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023 ; Conference date: 29-10-2023 Through 02-11-2023",

year = "2023",

doi = "10.1109/ECCE53617.2023.10362540",

language = "English",

series = "2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "6550--6552",

booktitle = "2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023",

}

Aydin, E, Ekti, AR, Chowdhury, S, Onar, OC & Piersall, E 2023, An Intelligent Metasurface-Based Wireless Power Transfer System. in 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023. 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023, Institute of Electrical and Electronics Engineers Inc., pp. 6550-6552, 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023, Nashville, United States, 10/29/23. https://doi.org/10.1109/ECCE53617.2023.10362540

An Intelligent Metasurface-Based Wireless Power Transfer System. / Aydin, Emrullah; Ekti, Ali Riza; Chowdhury, Shajjad et al.
2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 6550-6552 (2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An Intelligent Metasurface-Based Wireless Power Transfer System

AU - Aydin, Emrullah

AU - Ekti, Ali Riza

AU - Chowdhury, Shajjad

AU - Onar, Omer C.

AU - Piersall, Elizabeth

PY - 2023

Y1 - 2023

N2 - Wireless Power Transfer (WPT) systems are getting more popular in recent years in a wide range of application areas. However, the performance of wireless power transfer systems is adversely affected by coil misalignment and increased power transfer distance. To overcome the limitations, the proposed method in this paper will place an intelligent controllable metasurface between the transmitter and receiver coils. The goal is to establish the feasibility of a metasurface-assisted, intelligent WPT charging system by variable coil design and angle of arrival estimation using machine learning for multiple misalignment cases. We will feed these angles of arrival data to reconfigure the metasurface. The inclusion of a controllable metasurface will improve efficiency and increase the power transfer distance.

AB - Wireless Power Transfer (WPT) systems are getting more popular in recent years in a wide range of application areas. However, the performance of wireless power transfer systems is adversely affected by coil misalignment and increased power transfer distance. To overcome the limitations, the proposed method in this paper will place an intelligent controllable metasurface between the transmitter and receiver coils. The goal is to establish the feasibility of a metasurface-assisted, intelligent WPT charging system by variable coil design and angle of arrival estimation using machine learning for multiple misalignment cases. We will feed these angles of arrival data to reconfigure the metasurface. The inclusion of a controllable metasurface will improve efficiency and increase the power transfer distance.

KW - Coil design

KW - Metasurface

KW - Misalignment

KW - Wireless power transfer

UR - https://www.scopus.com/pages/publications/85182923982

U2 - 10.1109/ECCE53617.2023.10362540

DO - 10.1109/ECCE53617.2023.10362540

M3 - Conference contribution

AN - SCOPUS:85182923982

T3 - 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

SP - 6550

EP - 6552

BT - 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

Y2 - 29 October 2023 through 2 November 2023

ER -

An Intelligent Metasurface-Based Wireless Power Transfer System

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Keywords

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