非接触电能传输系统的负载识别算法
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国家自然科学基金资助项目(50777071)


A load identification algorithm for contactless power transmission systems
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    摘要:

    为解决非接触电能传输系统正常运行过程中,负载变化会使系统工作频率发生飘移,偏离谐振频率范围,系统鲁棒性变差这一问题,从系统初级回路导轨支路和次级回路整流网络前端参数变化入手,分别就负载为阻性和阻感性的两种情况,利用不同电路模型进行了性质识别和大小识别技术及算法分析,推导出负载与初级回路导轨支路上各电能参数之间的关系式,并对系统处在这两种不同性质负载情况进行了仿真研究,实现对负载的识别。

    Abstract:

    When contactless power transmission (CPT) systems are operating normally, load variation will cause the system operating frequency to drift and the resonance frequency scope to deviate from the desired level. These fluctuations in turn cause the system to vary substantially and affect its normal operation. Considering the slip road track of the primary circuit and the phase angle change between the front of the subnetwork rectifier circuit current and the voltage, we employ different circuit models to analyze the nature and size of the load for the two types of antiperceptual situations. An algorithm is derived to calculate the junior circuit parameters with the load on the rails. Simulation analysis for the load identification under two different load conditions is conducted, and the expected results achieved.

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孙跃,黄卫,苏玉刚.非接触电能传输系统的负载识别算法[J].重庆大学学报,2009,32(2):141-145.

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