<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper aims to optimize the transmission characteristics of the wireless energy transmission system by optimizing the design of the coupling coils in the system, the system multi-parameter matching and the coil offset problem so that the overall wireless energy transmission system works in the best condition. The mathematical model of the power and efficiency of the two-coil MCRWPT is derived through the optimal tuning theory, and the principle of the wireless energy transmission method is analyzed to determine the wireless energy transmission method of the equivalent capacitive regulation circuit. By comparing the effects of load on output power and transmission efficiency under different topologies, a plane with a two-coil structure applicable to the wireless charging transmission system is selected to improve the transmission efficiency of the system. In the experimental verification of the WPT transmission characteristics optimization and dynamic tuning, it is concluded that the efficacy of the system is improved simultaneously with the transmission efficiency up to 91% when the load is adjusted to 298 <italic>m</italic>Ω for the load value adjusted at the transmission distance of 0.075m.</p>
</abstract>

This paper aims to optimize the transmission characteristics of the wireless energy transmission system by optimizing the design of the coupling coils in the system, the system multi-parameter matching and the coil offset problem so that the overall wireless energy transmission system works in the best condition. The mathematical model of the power and efficiency of the two-coil MCRWPT is derived through the optimal tuning theory, and the principle of the wireless energy transmission method is analyzed to determine the wireless energy transmission method of the equivalent capacitive regulation circuit. By comparing the effects of load on output power and transmission efficiency under different topologies, a plane with a two-coil structure applicable to the wireless charging transmission system is selected to improve the transmission efficiency of the system. In the experimental verification of the WPT transmission characteristics optimization and dynamic tuning, it is concluded that the efficacy of the system is improved simultaneously with the transmission efficiency up to 91% when the load is adjusted to 298 mΩ for the load value adjusted at the transmission distance of 0.075m.

Optimization analysis of transmission characteristics of wireless energy transmission system based on dynamic tuning algorithm

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper aims to optimize the transmission characteristics of the wireless energy transmission system by optimizing the design of the coupling coils in the...

Optimization analysis of transmission characteristics of wireless energy transmission system based on dynamic tuning algorithm

Online veröffentlicht: 02. Okt. 2023

Seitenbereich: -

Eingereicht: 12. Jan. 2023

Akzeptiert: 12. Apr. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00437

Schlüsselwörter
Wireless transmission, Structure optimization, Transmission efficiency, MCR WPT, Dynamic tuning algorithm

© 2023 Ruijuan Du, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Optimization analysis of transmission characteristics of wireless energy transmission system based on dynamic tuning algorithm

Online veröffentlicht: 02. Okt. 2023

Seitenbereich: -

Eingereicht: 12. Jan. 2023

Akzeptiert: 12. Apr. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00437

SchlüsselwörterWireless transmission, Structure optimization, Transmission efficiency, MCR WPT, Dynamic tuning algorithm

© 2023 Ruijuan Du, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Wireless transmission, Structure optimization, Transmission efficiency, MCR WPT, Dynamic tuning algorithm