磁耦合谐振式无线电能传输系统参数优化
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西安工业大学机电工程学院 西安 710021

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TM724;TN751

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Parameter optimization of magnetically coupled resonant wireless power transfer system
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    摘要:

    针对磁耦合谐振式无线电能传输系统在设计过程中不同的参数选择会对系统的输出功率和传输效率造成较大影响,难以对二者进行兼顾,本文提出了一种改进型麻雀搜索算法(IMOSSA)用于系统的参数设计。首先,本文构建了LCC-S型电路拓扑结构的数学模型,并对与系统输出功率和传输效率相关的关键参数进行了深入分析。在此基础上,确立了以输出功率和传输效率为优化目标,以工作频率、负载阻值和传输距离为优化参数的目标函数。为提升算法性能,本文提出了三种改进策略对传统麻雀搜索算法(MOSSA)进行改进,并基于此对目标函数进行了寻优。仿真结果显示,与MOSSA算法和NGSA-II算法相比,IMOSSA算法得到的解集在评价指标上具有显著优势。在设定的权重系数下,IMOSSA算法能够实现更高的输出功率和传输效率。最后,通过Maxwell仿真模型对优化参数进行了仿真验证,证实了其可行性。

    Abstract:

    In the design process of magnetically coupled resonant wireless power transfer systems, different parameter selections significantly affect the system's output power and transmission efficiency, making it challenging to balance the two. This paper proposes an Improved Modified Sparrow Search Algorithm (IMOSSA) for optimizing system parameters. First, a mathematical model of the LCC-S circuit topology is constructed, and an in-depth analysis of the key parameters related to system output power and transmission efficiency is conducted. Based on this, an objective function is established with output power and transmission efficiency as the optimization goals, and working frequency, load resistance, and transmission distance as the optimization parameters. To enhance the algorithm's performance, three improvement strategies are proposed to refine the traditional Sparrow Search Algorithm (MOSSA), and optimization of the objective function is carried out accordingly. The simulation results demonstrate that, when compared to the MOSSA and NGSA-II algorithms, the solution set obtained by the IMOSSA algorithm demonstrates significant advantages in evaluation metrics. Under the specified weight coefficients, the IMOSSA algorithm achieves higher output power and transmission efficiency. Finally, the optimized parameters are validated through Maxwell simulation models, confirming their feasibility.

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  • 收稿日期:2024-09-07
  • 最后修改日期:2024-11-11
  • 录用日期:2024-11-11
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