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


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.

    参考文献
    [1] 刘耀,肖晋宇,赵小令,等.无线电能传输技术发展与应用综述[J].电工电能新技术,2023,42(02):48-67.
    [2] 范兴明,高琳琳,莫小勇,等.无线电能传输技术的研究现状与应用综述(英文)[J].电工技术学报,2019,34(07):1353-1380.
    [3] 李建坡,李烁,王一钧,等.磁耦合谐振式无线电能传输技术研究综述[J/OL].电测与仪表:1-12[2024-05-23].
    [4] Y. Wang, J. Song, L. Lin, X. Wu and W. Zhang, “Research on magnetic coupling resonance wireless power transfer system with variable coil structure,” 2017 IEEE PELS Workshop on Emerging Technologies: Wireless Power Transfer (WoW), Chongqing, China, 2017, pp. 1-6, doi: 10.1109/WoW.2017.7959403.
    [5] 余庆昌,李浩然,朱玉玉.磁耦合谐振式无线充电线圈的优化方法研究[J/OL].电源学报:1-14[2024-05-23].
    [6] 刘伟,李有红,王赟,等.无线电能传输系统多目标遗传算法参数优化[J].国外电子测量技术,2020,39(06):86-90.
    [7] 赵越,沈艳霞.基于改进粒子群优化算法的无线电能传输系统最大功率点跟踪[J].信息与控制,2021,50(01):113-118+128.
    [8] 陈渝,李浩然,朱玉玉,等.电动汽车无线电能传输系统参数优化研究[J].电力电子技术,2024,58(02):51-54.
    [9] Xue J,Shen B.A novel swarm intelligence optimization ap-proach:Sparrow search algorithm [J].Systems Science Control Engineering,2020,8(1):22-34.
    [10] 钱敏,黄海松,范青松.基于反向策略的混沌麻雀搜索算法[J].计算机仿真,2022,39(08):333-339+487.
    [11] Tanyildizi, Erkan and Gamze Demir. “Golden Sine Algorithm: A Novel Math-Inspired Algorithm.”SAdvances in Electrical and Computer EngineeringS17 (2017): 71-78.
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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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