A Universal Mutual Inductance and Load Identification Methodology for MC-WPT Systems With Arbitrary Topology

This article proposes a universal front-end identification method for mutual inductance and load based on the eigenstate mechanism, which is suitable for magnetic coupling wireless power transfer (MC-WPT) systems with arbitrary topologies. First, the general real eigenstate parameter criterion for arbitrary topology MC-WPT systems is established. Then, the general analytical expressions of mutual inductance and load under the real eigenstate are derived. Based on the real eigenstate impedance characteristics, a front-end parameter identification method and a process are presented. The proposed method is universally applicable to any topological structure by simply inputting the corresponding impedance parameters. Meanwhile, the constructed mutual inductance and load analytical expressions are decoupled, eliminating the need for iterative processes and concerns about iteration count and convergence precision. This results in fast computation speed and high accuracy. In experiments, the identification accuracy for mutual inductance and load is above 93.95% and 98.22%, respectively. Furthermore, the method does not require any additional identification circuits and combines the advantages of the eigenstate mechanism, such as high energy efficiency and strong antioffset capability. Additionally, the established general real eigenstate parameter criterion can effectively facilitate the design of parity-time symmetry mechanisms in systems with various topologies.

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Publication Details

Journal
IEEE Transactions on Power Electronics
Published
2024-08-30
DOI
https://doi.org/10.1109/tpel.2024.3452320
Citations
11
Primary Topic
Wireless Power Transfer Systems
Type
article
Field-Weighted Citation Impact
2.30
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article

A Universal Mutual Inductance and Load Identification Methodology for MC-WPT Systems With Arbitrary Topology

Zhijuan Liao, Chenyang Xia, Bin Gao, Yi Fan et al.
11 citations
IEEE Transactions on Power Electronics
Wireless Power Transfer Systems
2.30
article

A Universal Mutual Inductance and Load Identification Methodology for MC-WPT Systems With Arbitrary Topology

Zhijuan Liao, Chenyang Xia, Bin Gao, Yi Fan, Zhipeng Liu, Zhi-Yong Jin
article en
11 citations

Abstract

This article proposes a universal front-end identification method for mutual inductance and load based on the eigenstate mechanism, which is suitable for magnetic coupling wireless power transfer (MC-WPT) systems with arbitrary topologies. First, the general real eigenstate parameter criterion for arbitrary topology MC-WPT systems is established. Then, the general analytical expressions of mutual inductance and load under the real eigenstate are derived. Based on the real eigenstate impedance characteristics, a front-end parameter identification method and a process are presented. The proposed method is universally applicable to any topological structure by simply inputting the corresponding impedance parameters. Meanwhile, the constructed mutual inductance and load analytical expressions are decoupled, eliminating the need for iterative processes and concerns about iteration count and convergence precision. This results in fast computation speed and high accuracy. In experiments, the identification accuracy for mutual inductance and load is above 93.95% and 98.22%, respectively. Furthermore, the method does not require any additional identification circuits and combines the advantages of the eigenstate mechanism, such as high energy efficiency and strong antioffset capability. Additionally, the established general real eigenstate parameter criterion can effectively facilitate the design of parity-time symmetry mechanisms in systems with various topologies.

IEEE Transactions on Power ElectronicsVol. 39(12)
Xuzhou Medical College (CN), China University of Mining and Technology (CN)
Openalex Percentile: Top 11%
Wireless Power Transfer Systems
2.30
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A Universal Mutual Inductance and Load Identification Methodology for MC-WPT Systems With Arbitrary Topology — Zhijuan Liao, Chenyang Xia, et al. · IEEE Transactions on Power Electronics (2024) | TGRS Research Map | TGRS