Parameter Optimization Design for Wireless Power Transmission Systems Using Improved Genetic Algorithm

YANG Yang; ZHANG Zhi; WU Xueyu; CAO Jiayi; ZHENG Xuan

doi:10.7652/xjtuxb202504009

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Parameter Optimization Design for Wireless Power Transmission Systems Using Improved Genetic Algorithm

更新时间：2026-01-06

- Parameter Optimization Design for Wireless Power Transmission Systems Using Improved Genetic Algorithm
- Journal of Xi’an Jiaotong University Vol. 59, Issue 4, Pages: 93-104(2025)
- 作者机构：
  
  1.长安大学能源与电气工程学院， 710018，西安
  2.长安大学未来交通学院， 710018，西安
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb202504009
  CLC： TM724
- Received：10 November 2024，
  
  Online First：27 December 2024，
  
  Published：10 April 2025
- 稿件说明：
移动端阅览
YANG Yang, ZHANG Zhi, WU Xueyu, et al. Parameter Optimization Design for Wireless Power Transmission Systems Using Improved Genetic Algorithm[J]. Journal of Xi’an Jiaotong University, 2025, 59(4): 93-104.
DOI：

YANG Yang, ZHANG Zhi, WU Xueyu, et al. Parameter Optimization Design for Wireless Power Transmission Systems Using Improved Genetic Algorithm[J]. Journal of Xi’an Jiaotong University, 2025, 59(4): 93-104. DOI： 10.7652/xjtuxb202504009.

摘要

针对高阶补偿拓扑的无线电能传输（WPT）系统的谐振参数较多且相互关联，从而导致系统设计时各个元件具体参数难以确定的问题，提出了一种适用于一次侧LCC、二次侧LC串联拓扑（LCC-S）的WPT系统参数优化设计方法。利用MATLAB/Simulink搭建WPT系统仿真平台并进行理论分析，评估了谐振参数、耦合系数和等效负载对该系统输出特性的影响，选择影响程度最复杂的变量作为决策变量，构建系统非线性优化模型；以提高WPT系统的传输效率为目标，在遗传算法基础上加入非线性优化策略，并设计新的突变函数，利用改进后的遗传算法（IGA）给出了系统参数的优化设计方案。仿真结果表明：IGA使系统传输效率达到98.34%，相较遗传算法提高了2.52%，且收敛速度显著提高。搭建WPT系统实验平台并进行测试，结果表明：该系统能够以97.98%的传输效率保持300 W的功率输出；当负载电阻处于6~46 Ω时，系统传输效率能够维持在90%以上。研究结果可为LCC-S型WPT系统参数设计提供参考。

Abstract

In order to address the issue of numerous and interrelated resonance parameters in high-order compensated wireless power transmission (WPT) systems

which makes it challenging to determine specific component parameters during system design

a parameter optimization method for WPT systems with primary-side LCC and secondary-side LC series compensation topology (LCC-S) is proposed. By utilizing MATLAB/Simulink to construct a WPT system simulation platform and conducting theoretical analysis

the impact of resonance parameters

coupling coefficients

and equivalent loads on the system's output characteristics is evaluated. The variables with the most complex impact are selected as decision variables to construct a nonlinear optimization model. Aiming to improve the transmission efficiency of the WPT system

a nonlinear optimization strategy is incorporated into the genetic algorithm

and a new mutation function is designed. An optimized design scheme for system parameters is provided using the improved genetic algorithm (IGA). Simulation results demonstrate that the IGA achieves a system transmission efficiency of 98.34%

a 2.52% improvement over the genetic algorithm

with significantly enhanced convergence speed. An experimental platform for the WPT system is constructed and tested

showing that the system can maintain a power output of 300 W with an efficiency of 97.98%. When the load resistance ranges from 6 to 46 Ω

the system's transmission efficiency can be maintained above 90%. The research findings can serve as a reference for parameter design of LCC-S type WPT systems.

关键词

Keywords

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