A wireless power transfer system with automatic frequency tracking in parallel-series model via magnetic resonance coupling

Yao Wang; Fangning Gao; Weiguo Liu; Dan Zhao

doi:10.1109/ICIEA.2018.8398086

A wireless power transfer system with automatic frequency tracking in parallel-series model via magnetic resonance coupling

Yao Wang, Fangning Gao, Weiguo Liu, Dan Zhao

School of Automation

Northwestern Polytechnical University Xian

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

9 Scopus citations

Abstract

In order to reduce the operating frequency of magnetically-coupled resonant wireless power transfer(WPT) system and to avoid the complex design for frequency tracking system, the parallel-series topology was utilized and an inverter circuit with automatic frequency tracking function was proposed. The theoretical analysis for both the parallel-series topology and the inverter was provided. Two methods were put forward to improve the quality factor of WPT system and curb the fluctuation of operating frequency respectively. A low-power WPT system which operates at 105kHz is designed to validate the circuit topology. The experimental results are presented to verify the analysis and demonstrates the performance of the two methods proposed.

Original language	English
Title of host publication	Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2258-2263
Number of pages	6
ISBN (Electronic)	9781538637579
DOIs	https://doi.org/10.1109/ICIEA.2018.8398086
State	Published - 26 Jun 2018
Event	13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018 - Wuhan, China Duration: 31 May 2018 → 2 Jun 2018

Publication series

Name	Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018

Conference

Conference	13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018
Country/Territory	China
City	Wuhan
Period	31/05/18 → 2/06/18

Keywords

automatic frequency tracking
high quality factor
parallel-series topology
wireless power transfer

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ICIEA.2018.8398086

Cite this

Wang, Y., Gao, F., Liu, W., & Zhao, D. (2018). A wireless power transfer system with automatic frequency tracking in parallel-series model via magnetic resonance coupling. In Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018 (pp. 2258-2263). (Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIEA.2018.8398086

Wang, Yao ; Gao, Fangning ; Liu, Weiguo et al. / A wireless power transfer system with automatic frequency tracking in parallel-series model via magnetic resonance coupling. Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 2258-2263 (Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018).

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title = "A wireless power transfer system with automatic frequency tracking in parallel-series model via magnetic resonance coupling",

abstract = "In order to reduce the operating frequency of magnetically-coupled resonant wireless power transfer(WPT) system and to avoid the complex design for frequency tracking system, the parallel-series topology was utilized and an inverter circuit with automatic frequency tracking function was proposed. The theoretical analysis for both the parallel-series topology and the inverter was provided. Two methods were put forward to improve the quality factor of WPT system and curb the fluctuation of operating frequency respectively. A low-power WPT system which operates at 105kHz is designed to validate the circuit topology. The experimental results are presented to verify the analysis and demonstrates the performance of the two methods proposed.",

keywords = "automatic frequency tracking, high quality factor, parallel-series topology, wireless power transfer",

author = "Yao Wang and Fangning Gao and Weiguo Liu and Dan Zhao",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018 ; Conference date: 31-05-2018 Through 02-06-2018",

year = "2018",

month = jun,

day = "26",

doi = "10.1109/ICIEA.2018.8398086",

language = "英语",

series = "Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018",

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Wang, Y, Gao, F, Liu, W & Zhao, D 2018, A wireless power transfer system with automatic frequency tracking in parallel-series model via magnetic resonance coupling. in Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018. Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018, Institute of Electrical and Electronics Engineers Inc., pp. 2258-2263, 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018, Wuhan, China, 31/05/18. https://doi.org/10.1109/ICIEA.2018.8398086

A wireless power transfer system with automatic frequency tracking in parallel-series model via magnetic resonance coupling. / Wang, Yao; Gao, Fangning; Liu, Weiguo et al.
Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 2258-2263 (Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018).

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

TY - GEN

T1 - A wireless power transfer system with automatic frequency tracking in parallel-series model via magnetic resonance coupling

AU - Wang, Yao

AU - Gao, Fangning

AU - Liu, Weiguo

AU - Zhao, Dan

PY - 2018/6/26

Y1 - 2018/6/26

N2 - In order to reduce the operating frequency of magnetically-coupled resonant wireless power transfer(WPT) system and to avoid the complex design for frequency tracking system, the parallel-series topology was utilized and an inverter circuit with automatic frequency tracking function was proposed. The theoretical analysis for both the parallel-series topology and the inverter was provided. Two methods were put forward to improve the quality factor of WPT system and curb the fluctuation of operating frequency respectively. A low-power WPT system which operates at 105kHz is designed to validate the circuit topology. The experimental results are presented to verify the analysis and demonstrates the performance of the two methods proposed.

AB - In order to reduce the operating frequency of magnetically-coupled resonant wireless power transfer(WPT) system and to avoid the complex design for frequency tracking system, the parallel-series topology was utilized and an inverter circuit with automatic frequency tracking function was proposed. The theoretical analysis for both the parallel-series topology and the inverter was provided. Two methods were put forward to improve the quality factor of WPT system and curb the fluctuation of operating frequency respectively. A low-power WPT system which operates at 105kHz is designed to validate the circuit topology. The experimental results are presented to verify the analysis and demonstrates the performance of the two methods proposed.

KW - automatic frequency tracking

KW - high quality factor

KW - parallel-series topology

KW - wireless power transfer

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Wang Y, Gao F, Liu W, Zhao D. A wireless power transfer system with automatic frequency tracking in parallel-series model via magnetic resonance coupling. In Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 2258-2263. (Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018). doi: 10.1109/ICIEA.2018.8398086

A wireless power transfer system with automatic frequency tracking in parallel-series model via magnetic resonance coupling

Abstract

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Keywords

UN SDGs

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