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基于相位自适应的双线圈无线能量传输系统设计

Design of dual-coil wireless energy transmission system based on self-adaptive phase
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摘要 单线圈磁共振耦合无线能量传输系统要求发射端和接收端对齐,限制了系统的实际应用。多线圈发射系统通过配置线圈阵列,利用模拟波束成形算法,改变电压和电流的相对相位,从而控制磁场波束在接收端叠加的相位,实现能量最大传输。设计了一种基于相位控制的无线能量传输系统,通过自适应算法改变发射波形的相位,使接收线圈获得较高的能量。系统简化了功放的设计,实现了接收端全方向高效的能量接收。测试结果表明:系统可以稳定高效地运行。 A single-coil magnetic resonant coupling wireless power transmission system requires that the transmitting coil makes an exact alignment with the receiving coil,thus limiting the practical application of the system. The multi-coil system by configurating coil array,utilizes analog beamforming algorithm to achieve the maximum energy transmission at the receiver. Specifically,the phases of magnetic field beams can be superimposed at the receiver by changing the relative phase of the voltage and current. A wireless energy transmission system based on phase control is designed. The phase of transmitted waveform is changed by adaptive algorithm,so that the receiving coil can obtain higher energy. The system simplifies the design of the power amplifier while guaranteeing omnidirectional high efficient energy receiving of receiving end. The test results of the wireless energy transmission device show that the system can work reliably and efficiently.
出处 《传感器与微系统》 CSCD 2018年第2期102-105,共4页 Transducer and Microsystem Technologies
基金 国家自然科学基金青年科学基金资助项目(61601130) 广州市珠江科技新星专项项目(201506010033) 广州市产学研协同创新重大专项对外科技合作项目(201704030093)
关键词 磁共振耦合 无线能量传输 线圈阵列 波束成形 magnetic resonant coupling wireless energy transmission coil array beamforming
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  • 1York T A,Davidson J L,Mazurkiewich L,et al.Towards process tomography for monitoring pressure filtration[J].IEEE Sensors Journal,2005,5(2):139-152.
  • 2Soleimani M,Lionheart W R B,Peyton A J,et al.A three-dimensional inverse finite-element method applied to experimental eddy-current imaging data[J].IEEE Transactions on Magnetics,2006,42(5):1560-1567.
  • 3Yin Wuliang,Chen Guang,Chen Lijing,et al.The design of a digital magnetic induction tomography(MIT)system for metallic object imaging based on half cycle demodulation[J].IEEE Sensors Journal,2011,11(10):2233-2240.
  • 4Griffiths H.Magnetic induction tomography[J].Measurement Science and Technology,2001,12(8):1126-1131.
  • 5Liu Ze,He Min,Xiong Hanliang.Simulation study of the sensing field in electromagnetic tomography for two-phase flow measurement[J].Flow Measurement and Instrumentation,2005,16(2):199-204.
  • 6Zakaria Z,Rahim R A,Mansor M S B,et al.Advancements in transmitters and sensors for biological tissue imaging in magnetic induction tomography[J].Sensors,2012,12(6):7126-7156.
  • 7Merwa R,Scharfetter H.Magnetic induction tomography comparison of the image quality using different types of receivers[J].Physiological Measurement,2008,29(6):S417-S429.
  • 8Fu Yan,Dong Feng,Tan Chao.Response of the excitation condition to electromagnetic tomography[J].Flow Measurement and Instrumentation,2013,31:10-18.
  • 9GU Q, DE LUIS J R, MORRIS IIIA S, et al. An analytical algorithm for pi-network impedance tuners [J]. IEEE Transactions on Circuits and Systems I: Regular Papers, 2011, 58(12): 2894-2905.
  • 10GU Q, MORRIS A S. A new method for matching network adaptive control[J]. IEEE Transactions on Microwave Theory and Techniques, 2013, 61(1): 587-595.

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