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Strategy of Topology Selection Based on Quasi-Duality Between Series–Series and Series–Parallel Topologies of Resonant Inductive Coupling Wireless Power Transfer Systems

机译:基于谐振电感耦合无线电力传输系统的串联系列和串联拓扑之间的准二元的拓扑选择策略

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摘要

Series-series (SS) and series-parallel (SP) topologies are widely used in resonant inductive coupling wireless power transfer systems for various applications. However, the selection of an appropriate topology to achieve higher output power or higher efficiency is typically difficult because design optimization of the circuit parameters (e.g., characteristic impedance, load resistance, and mutual inductance) for each topology is generally separately discussed using different equivalent circuits with multiple resonance modes. Therefore, the purpose of this study involves proposing a simple strategy to select an appropriate topology. The proposed strategy is based on quasi-duality between the SS and SP topologies that are elucidated from the novel equivalent circuits derived using Lagrangian dynamics. Based on the quasi-duality, the output power and efficiency of the SP topology are calculated via the equivalent circuit of SS topology. Thus, the quasi-duality offers a simple comparison between the SS and SP topologies. The proposed strategy selects an appropriate topology by comparing only the equivalent ac load resistance, which is the ac resistance including the rectifying circuit and the load resistance, the characteristic impedance, and the ac load resistance that achieves the maximum efficiency ormaximum output power of the SS topology. Experiments verify the appropriateness and effectiveness of the proposed strategy.
机译:系列系列(SS)和串联(SP)拓扑广泛用于各种应用的谐振电感耦合无线电力传输系统。然而,通过使用不同的等效电路通常讨论每个拓扑的电路参数(例如,特征阻抗,负载和相互电感的电路参数(例如,特征阻抗,负载电阻和相互电感)的设计优化通常讨论的选择优化的选择优化具有多种共振模式。因此,本研究的目的涉及提出一种简单的策略来选择适当的拓扑。所提出的策略基于SS和SP拓扑之间的准二元性,这些拓扑拓扑之间从使用拉格朗日动态获得的新型等同电路阐明的拓扑之间。基于准二元性,通过SS拓扑的等效电路计算SP拓扑的输出功率和效率。因此,准二元性在SS和SP拓扑之间提供了简单的比较。所提出的策略通过仅比较等效的交流载荷电阻来选择适当的拓扑,这是具有整流电路的交流电阻和负载电阻,特性阻抗以及AC负载电阻,实现了SS的最大效率的最大输出功率拓扑。实验验证了拟议策略的适当性和有效性。

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