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| Characteristics Research on Wireless Power Transmission Systems Using Magnetic Resonance Coupling |
| Cheng Limin, Cui Yulong |
| Beijing University of Chemical Technology Beijing 100029 China |
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Abstract Based on the mutual inductance between the transmitting and receiving coil as well as the resonance in circuit theory, we established an equivalent circuit model for WPT (wireless power transmission) systems using magnetic resonance coupling. According to this model, we derived how the frequency of the AC power supply affects the average power of the load and the power transmission efficiency, which is of great importance to provide an appropriate AC power supply for WPT system, but is only known perceptually now. Instead of only providing experimental demonstration in the previous literature, we theoretically analyzed the relationship between transmission distance and the average power of the load as well as the relationship between transmission distance and the power transmission efficiency. As the frequency of the AC power supply varies from 150kHz to 250kHz, theoretical derivation and simulation results demonstrate that the average power of the load maximizes when the natural resonant frequency of the transmitting and receiving coil is equal to the frequency of the AC power supply, and the power transmission efficiency is still higher than 68%. It is also demonstrated that, with the increase of transmission distance, the power transmission efficiency decreases, but the average power of the load increases first, and then decreases.
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Received: 23 May 2013
Published: 22 May 2014
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| About author:: Cheng Limin female, born in 1988. She is presently a graduate. Her areas of interests are wireless power transmission based on magnetic resonance coupling and high frequency DC/AC converters; Cui Yulong male, born in 1967. He received the M.E. and D. E. degrees from Hebei University of Technology. He is presently a Associate Professor in Beijing University of Chemical Technology. His areas of interests are power electronics technology and intelligent detection technology. |
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2013, Vol. 28 
