Coupling Coefficient and Load Estimation for Wireless Power Transfer Systems with Transmitter Side Input Current

Yue, Kang; Liu, Yu; Zhao, Peng; Fu, Minyue; Wang, Haoyu; Liang, Junrui

doi:10.1109/apec42165.2021.9487120

Cited by 8 publications

(3 citation statements)

References 13 publications

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“…Our study proposes estimating the load and coupling coefficient [ 15 , 16 , 17 ] on an LC–LC matching-based WPT system using artificial intelligence with only Tx-side parameters. During the charging process, the load value fluctuates [ 18 ], affecting the transferred power.…”

Section: Introductionmentioning

confidence: 99%

Predicting Receiver Characteristics without Sensors in an LC–LC Tuned Wireless Power Transfer System Using Machine Learning

Kim,

Niada,

Park

2024

Sensors

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Improvement of wireless power transfer (WPT) systems is necessary to tackle issues of power transfer efficiency, high costs due to sensor and communication requirements between the transmitter (Tx) and receiver (Rx), and maintenance problems. Analytical techniques and hardware-based synchronization research for Rx-sensorless WPT may not always have been available or accurate. To address these limitations, researchers have recently employed machine learning (ML) to improve efficiency and accuracy. The objective of this work was to replace Tx–Rx communication with ML, utilizing Tx-side parameters to predict the load and coupling coefficients on an LC–LC tuned WPT system. Based on current and voltage features collected on the Tx-side for various load and coupling coefficient values, we developed two models for each load and coupling prediction. This study demonstrated that the extra trees regressor effectively predicted the characteristics of LC–LC tuned WPT systems, with coefficients of determination of 0.967 and 0.996 for load and coupling, respectively. Additionally, the mean absolute percentage errors were 0.11% and 0.017%.

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Section: Introductionmentioning

confidence: 99%

Predicting Receiver Characteristics without Sensors in an LC–LC Tuned Wireless Power Transfer System Using Machine Learning

Kim,

Niada,

Park

2024

Sensors

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“…It yields that the complexity and power consumption of the receiver unit increases, affecting the overall system efficiency. This makes the case for receiverside power regulation to reduce hardware cost, though, a communication block can be introduced to avoid the primaryside determination (or estimation) [20]- [22] of either the coupling factor or the load.…”

Section: Introduction and State Of The Artmentioning

confidence: 99%

“…On the one hand, it is possible to abstract the analysis from the concept of optimal impedance that is not well-suited (i.e., not well defined) to represent the nonlinear time-varying electronics present in every WPT circuit. On the other hand, it is possible to fill the literature gap underlined in [20] about methodologies that, by exploiting parameters estimation, face the problem of dealing with both coupling coefficient and load as parameters unknown at the same time, that is usually a not possible assumption in standard approaches. In the proposed system, provided that the WPT circuit parameters comply with very general conditions, an easy-to-identify corner point corresponding to the MET point appears in the primary-side voltage-current characteristic of the WPT link.…”

Section: Introduction and State Of The Artmentioning

confidence: 99%

A Primary-side Maximum Efficiency Transfer Solution in Wireless Power Transfer Systems: Theory and Validation

Celentano¹,

Paolino²,

Pareschi³

et al. 2023

Preprint

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<p>In this paper, we investigate the primary-side control of a Wireless Power Transfer (WPT) link, i.e., the capability of delivering the optimal power level to the load without compromising system efficiency, by only sensing quantities available at the primary side. When adding a simple power regulator at the secondary side, we observe and analyze the existence of a Maximum Efficiency Transfer point, easily detectable at the primary side, and corresponding to the additional power regulator being barely on, with negligible dissipated power. More important, the approach does not require any advanced system modeling, nor the estimation of the system parameters. A theoretical model is developed and verified by measurements on a prototype built upon a 60 mW-class-E based WPT link working at 6.78 MHz.</p>

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State Estimation Based Foreign Object Detection in Wireless Power Transfer Systems

Yue,

Liu,

Zhang

et al. 2023

2023 IEEE Applied Power Electronics Conference and Exposition (APEC)

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Coupling Coefficient and Load Estimation for Wireless Power Transfer Systems with Transmitter Side Input Current

Cited by 8 publications

References 13 publications

Predicting Receiver Characteristics without Sensors in an LC–LC Tuned Wireless Power Transfer System Using Machine Learning

Predicting Receiver Characteristics without Sensors in an LC–LC Tuned Wireless Power Transfer System Using Machine Learning

A Primary-side Maximum Efficiency Transfer Solution in Wireless Power Transfer Systems: Theory and Validation

State Estimation Based Foreign Object Detection in Wireless Power Transfer Systems

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