Design of coaxial coupled structure for distance-insensitive wireless power transfer

Gao, Han; Liu, Yanming; Guo, Shizhong; Han, Tao; Li, Qian

doi:10.1063/1.5095210

Cited by 13 publications

(5 citation statements)

References 25 publications

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“…Wireless power transfer (WPT) technology is gaining increasing attention from academia and industry [1]. At present, this technology is widely used in various wireless power supply applications, including IoT batteryless sensors or devices [2,3], portable consumer electronics such as wearable devices and mobile phones [4][5][6], and automation equipment such as electric vehicles and robots [7,8], as well as electrical equipment in implantable biomedicine, underwater, mining, and aerospace applications [9][10][11][12]. The terminals of the WPT systems cover electrical loads ranging from microwatts to megawatts.…”

Section: Introductionmentioning

confidence: 99%

Parameter Optimization of Wireless Power Transfer Based on Machine Learning

Zhang,

Liao,

et al. 2023

Electronics

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Wireless power transfer (WPT) has become a crucial feature in numerous electronic devices, electric appliances, and electric vehicles. However, traditional design methods for WPT suffer from numerous drawbacks, such as time-consuming computations and high error counts due to inaccurate model parameters. As artificial intelligence (AI) continues to gain traction across industries, its ability to provide quick decisions and solutions makes it highly attractive for system optimizations. In this paper, a method for optimizing WPT parameters based on machine learning is proposed. The convolutional neural network is adapted for training and predicting the performance of a pair of coupled coils under a set of input parameters. The performance parameters include the spatial magnetic field distribution map, quality factor, inductance value, and mutual inductance value, which are critical in determining the efficiency and selecting optimal coil parameters such as the number of turns and wire diameter. Moreover, the spatial magnetic field distribution map is also helpful for identifying design compliance with the electromagnetic field safety standards. The training results reveal that the proposed method takes an average of 3.2 ms with a normalized image prediction error of 0.0034 to calculate the results to calculate one set of parameters, compared to an average of 23.74 s via COMSOL. This represents significant computational time savings while still maintaining acceptable computational accuracy.

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Section: Introductionmentioning

confidence: 99%

Parameter Optimization of Wireless Power Transfer Based on Machine Learning

Zhang,

Liao,

et al. 2023

Electronics

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“…For magnetic induction wireless power transfer (WPT), such as the Qi standard, the transmitter and receiver coils, which contain a magnetic core, are usually driven at frequencies of a kilohertz to a few hundred kilohertz [1][2][3]. Capacitors are connected to coils [4] to compensate for leakage inductance [5].…”

Section: Introductionmentioning

confidence: 99%

Application of Parity-Time Symmetry to Low-Frequency Wireless Power Transfer System

2022

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In this study, parity-time symmetry (PTS) was applied to a wireless power transfer (WPT) system in the low-frequency range of 30-40 kHz. A series-parallel topology was analyzed using the coupled mode theory. It was demonstrated that PTS can be preserved over a long transmission distance even at low frequencies by reducing the self-inductance of the receiver coil. The receiver solenoid coil (dimensions: 71 × 30 × 7.4 mm, mass: 45.6 g, self-inductance: 119 μH) was able to maintain a transmission power of 23±1 W and an efficiency of 83±1% within a distance of 12-40 mm. In addition, the suitable coil orientation range was significantly increased from ±5° to ±65°. The power conversion efficiency of a switching-mode amplifier based on a class-D inverter reached 97% at low frequency. These results are expected to contribute to the expansion of PTS-WPT applications.

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“…The related researchers have studied the MCRWPT system from two main aspects to reduce magnetic leakage and improve PTE. On the one hand, the winding topology of WPT was studied, such as optimizing coil structure and designing magnetic shield structure [12]. A novel double-layer parallel coil model was proposed for the rotary equipment to improve the PTE and output power, and the performance of the WPT system was better than that of a conventional single-layer coil [13].…”

Section: Introductionmentioning

confidence: 99%

Analysis and Design of Wireless Power Transfer System for Rotational Inertial Navigation Application

Niu

Sun

et al. 2022

Applied Sciences

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Cables or slip-rings are often used to power loads on a rotating unit in the rotation modulated inertial navigation system (RMINS). However, these power supply methods have the disadvantages of cable winding and slip ring friction and wear, which reduces the reliability and life of the RMINS. Therefore, this paper applies magnetic coupling resonant wireless power transfer (MCRWPT) technology to the RMINS to avoid the shortcomings of the above power supply methods. Furthermore, according to the structure and working characteristics of the RMINS, a simple design method of the MCRWPT system without any feedback control is proposed. Based on the ANSYS simulation, the magnetic shielding structure is designed to reduce magnetic leakage, and the efficiency of the MCRWPT system is optimized by designing the excitation frequency. Experiments verify the effectiveness of the proposed method. The experimental results show that the designed MCRWPT system can achieve an efficiency of 74.6% with an output power of 10 W and has been successfully applied to the uniaxial rotation module inertial navigation system. Finally, the design method of the MCRWPT system is simple, and it has guiding significance for the design of the wireless power transfer system in the RMINS.

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Design of coaxial coupled structure for distance-insensitive wireless power transfer

Cited by 13 publications

References 25 publications

Parameter Optimization of Wireless Power Transfer Based on Machine Learning

Parameter Optimization of Wireless Power Transfer Based on Machine Learning

Application of Parity-Time Symmetry to Low-Frequency Wireless Power Transfer System

Analysis and Design of Wireless Power Transfer System for Rotational Inertial Navigation Application

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