新型三线圈磁耦合谐振式无线电能传输系统及其优化
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摘要
为了提高无线电能传输系统效率,提出了新型三线圈磁耦合谐振式无线电能传输系统。首先分析了新型三线圈无线电能传输系统传输效率的数学表达式,得出影响传输效率的重要参数—传输距离、频率、负载,针对各个参数,与传统系统传输效率分别进行分析对比;针对3个参数,运用混沌粒子群优化算法进行系统优化,得到传输效率最高时对应的最优参数;最后,为验证理论分析正确性,搭建实验平台,进行实验分析和优化验证。实验结果表明,新型三线圈磁耦合谐振式无线电能传输系统具有更高的传输效率。
In order to improve the transmission efficiency, we put forward a new three-coil magnetic coupling resonant wireless power transmission system. Firstly, the mathematical expression of the transmission efficiency of the new three-coil wireless power transmission system is analyzed, and the important parameters affecting the efficiency, the transmission distance, the frequency and the load are obtained. Then, according to the three parameters, the chaotic particle swarm optimization algorithm is used to optimize the system. The optimal parameters corresponding to the highest transmission efficiency are obtained. Finally, in order to verify the correctness of the theoretical analysis, the experimental platform is built for experimental analysis and optimization verification. Experimental results show that the new three-coil magnetically coupled resonant wireless power transmission system has a higher transmission efficiency.
In order to improve the transmission efficiency, we put forward a new three-coil magnetic coupling resonant wireless power transmission system. Firstly, the mathematical expression of the transmission efficiency of the new three-coil wireless power transmission system is analyzed, and the important parameters affecting the efficiency, the transmission distance, the frequency and the load are obtained. Then, according to the three parameters, the chaotic particle swarm optimization algorithm is used to optimize the system. The optimal parameters corresponding to the highest transmission efficiency are obtained. Finally, in order to verify the correctness of the theoretical analysis, the experimental platform is built for experimental analysis and optimization verification. Experimental results show that the new three-coil magnetically coupled resonant wireless power transmission system has a higher transmission efficiency.
引文
[1]李宇.无线电能传输技术研究与应用综述[J].电子技术与软件工程,2015(15):146.LI Yu.Research and application of radio energy transmission technology[J].Electronic Technology and Software Engineering,2015(15):146.
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[9]王振亚.谐振式无线电能传输系统的优化设计[D].广州:华南理工大学,2015:56-62.WANG Zhenya.Optimum design of resonant radio energy transmission system[D].Guangzhou,China:South China University of Technology,2015:56-62.
[10]陈琛.谐振式无线电能传输系统的若干电磁问题研究及优化设计[M].南京:东南大学,2016:87-93.CHEN Chen.Research and optimization design of some electromagnetic problems in resonant radio energy transmission system[M].Nanjing,China:Southeast University,2016:87-93.
[11]李中启.磁耦合谐振式无线电能传输系统效率分析与优化[D].长沙:湖南大学,2016:39-42.LI Zhongqi.Efficiency analysis and optimization of magnetic coupled resonant radio energy transmission system[D].Changsha,China:Hunan University,2016:39-42.
[12]安鹏.基于混沌理论和自适应惯性权重的PSO算法优化[J].吉林大学学报:理学版,2015,53(6):1223-1228.AN Peng.Optimization of PSO algorithm based on chaos theory and adaptive inertia weight[J].Journal of Jilin University:Science Edition,2015,53(6):1223-1228.
[13]金立军,薛飞,彭陈仡,等.基于粒子群算法的变电站工频电场优化[J].高电压技术,2017,43(4):1341-1347.JIN Lijun,XUE Fei,PENG Chenyi,et al.Optimization for substation power frequency electric field distribution based on particle swarm optimization[J].High Voltage Engineering,2017,43(4):1341-1347.
[14]李清泉,秦冰阳,司雯,等.混合粒子群优化小波自适应阈值估计算法及用于局部放电去噪[J].高电压技术,2017,43(5):1485-1492.LI Qingquan,QIN Bingyang,SI Wen,et al.Estimation algorithm for adaptive threshold of hybrid particle swarm optimization wavelet and its application in partial discharge signals de-noising[J].High Voltage Engineering,2017,43(5):1485-1492.
[15]KHAN M U,JAFAR A,KARIMOV K S,et al.A proposed optimized solution for wireless power transfer using magnetic resonance coupling[C]∥International Conference on Intelligent Systems Engineering.Los Angeles,USA:IEEE,2016:350-355.
[16]ANH P T,CHEN M H.Design and optimization of high-efficiency resonant wireless power transfer system[C]∥International Conference on System Science&Engineering.Guangdong,China:IEEE,2016:1-4.
[17]张小壮.磁耦合谐振式无线能量传输距离特性及其实验装置研究[D].哈尔滨:哈尔滨工业大学,2009:23-26.ZHANG Xiaozhuang.Magnetic resonance resonant wireless energy transmission distance characteristics and experimental device[D].Harbin,China:Harbin Institute of Technology,2009:23-26.
[18]刘瑞.小功率磁耦合谐振式无线电能传输特性及其实验研究[D].合肥:合肥工业大学,2015:47-50.LIU Rui.Characteristics and experimental study of low power magnetically coupled resonant radio energy transmission[D].Hefei,Chia:Hefei University of Technology,2015:47-50.
[19]李阳,张雅希,杨庆新,等.磁耦合谐振式无线电能传输系统最大功率效率点分析与实验验证[J].电工技术学报,2016,31(2):18-24.LI Yang,ZHANG Yaxi,YANG Qingxin,et al.Analysis and experimental validation on maximum power and efficiency in wireless power transfer system via coupled magnetic resonances[J].Transactions of China Electrotechnical Society,2016,31(2):18-24.
[20]李江,张鹏,马腾,等.磁耦合谐振式无线电能传输系统的仿真与实验[J].电机与控制学报,2015,19(11):72-77.LI Jiang,ZHANG Peng,MA Teng,et al.Simulation and exper iment of magnetic coupled resonant radio transmission system[J].Electric Machines and Control,2015,19(11):72-77.
[2]王娜,唐堂,张兆东,等.磁耦合谐振式无线能量传输效率分析[J].解放军理工大学自然科学版,2015(5):413-417.WANG Na,TANG Tang,ZHANG Zhaodong,et al.Efficiency analysis of magnetic coupling resonant wireless energy transfer[J].Natural Science Edition of PLA University of Science and Technology,2015(5):413-417.
[3]杨庆新,章鹏程,祝丽花,等.无线电能传输技术的关键基础与技术瓶颈问题[J].电工技术学报,2015,30(5):1-8.YANG Qingxin,ZHANG Pengcheng,ZHU Lihua,et al.The key foundation of radio transmission technology and technical bottleneck problem[J].Transactions of China Electrotechnical Society,2015,30(5):1-8.
[4]郑艳华,林杰凯,章秀银,等.一种基于磁耦合谐振式的高效率双频无线能量传输系统[J].南京信息工程大学学报,2017,9(1):82-86.ZHENG Yanhua,LIN Jiekai,ZHANG Xiuyin,et al.A dual-band wireless power transmitting and receiving device with high efficiency[J].Journal of Nanjing University of Information Science and Technology,2017,9(1):82-86.
[5]RODRíGUEZ-ESTEVA A,CASULO M S P,LABORDE B S,et al.Modelling approach for low-frequency strongly coupled magnetic resonance wireless power transfer system[C]∥Micro-nanoelectronics,Technology&Applications.Bursa,Turke:IEEE,2016:17-21.
[6]WANG S,CHEN J,HU Z,et al.Study on series-parallel mixed-resonance model of wireless power transfer via magnetic resonance coupling[C]∥Progress in Electromagnetic Research Symposium.Shanghai,China:IEEE,2016:2941-2945.
[7]邱利莎,黄守道,李中启.磁耦合谐振式无线输电系统的阻抗匹配研究[M].电力电子技术,2015,49(10):86-88.QIU Lisha,HUANG Shoudao,LI Zhongqi.Research on impedance matching of wireless power transfer system via coupled magnetic resonances[M].Power Electronic Technology,2015,49(10):86-88.
[8]郝宏刚,张春生.磁谐振式无线电能传输效率研究[J].电力电子技术,2015,49(10):102-108.HAO Honggang,ZHANG Chunsheng.Study on the efficiency of magnetic resonance radio energy transmission[J].Power Electronics Technology,2015,49(10):102-108.
[9]王振亚.谐振式无线电能传输系统的优化设计[D].广州:华南理工大学,2015:56-62.WANG Zhenya.Optimum design of resonant radio energy transmission system[D].Guangzhou,China:South China University of Technology,2015:56-62.
[10]陈琛.谐振式无线电能传输系统的若干电磁问题研究及优化设计[M].南京:东南大学,2016:87-93.CHEN Chen.Research and optimization design of some electromagnetic problems in resonant radio energy transmission system[M].Nanjing,China:Southeast University,2016:87-93.
[11]李中启.磁耦合谐振式无线电能传输系统效率分析与优化[D].长沙:湖南大学,2016:39-42.LI Zhongqi.Efficiency analysis and optimization of magnetic coupled resonant radio energy transmission system[D].Changsha,China:Hunan University,2016:39-42.
[12]安鹏.基于混沌理论和自适应惯性权重的PSO算法优化[J].吉林大学学报:理学版,2015,53(6):1223-1228.AN Peng.Optimization of PSO algorithm based on chaos theory and adaptive inertia weight[J].Journal of Jilin University:Science Edition,2015,53(6):1223-1228.
[13]金立军,薛飞,彭陈仡,等.基于粒子群算法的变电站工频电场优化[J].高电压技术,2017,43(4):1341-1347.JIN Lijun,XUE Fei,PENG Chenyi,et al.Optimization for substation power frequency electric field distribution based on particle swarm optimization[J].High Voltage Engineering,2017,43(4):1341-1347.
[14]李清泉,秦冰阳,司雯,等.混合粒子群优化小波自适应阈值估计算法及用于局部放电去噪[J].高电压技术,2017,43(5):1485-1492.LI Qingquan,QIN Bingyang,SI Wen,et al.Estimation algorithm for adaptive threshold of hybrid particle swarm optimization wavelet and its application in partial discharge signals de-noising[J].High Voltage Engineering,2017,43(5):1485-1492.
[15]KHAN M U,JAFAR A,KARIMOV K S,et al.A proposed optimized solution for wireless power transfer using magnetic resonance coupling[C]∥International Conference on Intelligent Systems Engineering.Los Angeles,USA:IEEE,2016:350-355.
[16]ANH P T,CHEN M H.Design and optimization of high-efficiency resonant wireless power transfer system[C]∥International Conference on System Science&Engineering.Guangdong,China:IEEE,2016:1-4.
[17]张小壮.磁耦合谐振式无线能量传输距离特性及其实验装置研究[D].哈尔滨:哈尔滨工业大学,2009:23-26.ZHANG Xiaozhuang.Magnetic resonance resonant wireless energy transmission distance characteristics and experimental device[D].Harbin,China:Harbin Institute of Technology,2009:23-26.
[18]刘瑞.小功率磁耦合谐振式无线电能传输特性及其实验研究[D].合肥:合肥工业大学,2015:47-50.LIU Rui.Characteristics and experimental study of low power magnetically coupled resonant radio energy transmission[D].Hefei,Chia:Hefei University of Technology,2015:47-50.
[19]李阳,张雅希,杨庆新,等.磁耦合谐振式无线电能传输系统最大功率效率点分析与实验验证[J].电工技术学报,2016,31(2):18-24.LI Yang,ZHANG Yaxi,YANG Qingxin,et al.Analysis and experimental validation on maximum power and efficiency in wireless power transfer system via coupled magnetic resonances[J].Transactions of China Electrotechnical Society,2016,31(2):18-24.
[20]李江,张鹏,马腾,等.磁耦合谐振式无线电能传输系统的仿真与实验[J].电机与控制学报,2015,19(11):72-77.LI Jiang,ZHANG Peng,MA Teng,et al.Simulation and exper iment of magnetic coupled resonant radio transmission system[J].Electric Machines and Control,2015,19(11):72-77.