| 江兵,王子博,刘响,陶锴.多负载MCR-WPT系统耦合线圈的优化方法研究[J].电子测量与仪器学报,2025,39(1):112-121 |
| 多负载MCR-WPT系统耦合线圈的优化方法研究 |
| Research on optimization methods for coupling coilsin multi-load MCR-WPT systems |
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| DOI： |
| 中文关键词: 无线电能传输 多负载 参数优化 偏移距离 |
| 英文关键词:WPT multi-load parameter optimization offset distance |
| 基金项目:国家自然科学基金（62103198）项目资助 |
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| Author | Institution |
| Jiang Bing | School of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210046, China |
| Wang Zibo | School of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210046, China |
| Liu Xiang | School of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210046, China |
| Tao Kai | School of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210046, China |
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| 中文摘要: |
| 针对传统多负载磁耦合谐振式无线电能传输系统在实际充电过程中容易出现用电设备摆放不齐或者是没有完全对准的情况，进而导致系统充电效率下降的问题，提出了一种基于自适应遗传算法的多负载磁耦合谐振式无线电能传输系统参数优化方法。首先，分析了多负载磁耦合谐振式无线电能传输系统中负载径向偏移、负载数量、传输距离和负载阻值对系统传输效率的影响，并使用Maxwell和Simplorer联合仿真进行验证。其次，通过所提出的自适应遗传算法对影响系统传输效率的几个重要参数：负载径向偏移距离、传输距离和负载阻值寻求最优解，获得系统最佳传输效率。仿真结果表明，优化后系统的总体传输效率达到了83.2%，比优化前提高了7.7%。最后搭建了多负载磁耦合谐振式无线电能传输系统实验平台进行验证，实验结果表明，优化后系统的总体传输效率达到了81.6%，比优化前提高了8.2%。仿真结果和试验结果证明了所提出的基于自适应遗传算法的多负载磁耦合谐振式无线电能传输系统参数优化方法的有效性。 |
| 英文摘要: |
| To address the common issue in traditional multi-load MCR-WPT systems, where misalignment or improper placement of charging equipment often leads to a decrease in charging efficiency, a parameter optimization method for MCR-WPT systems based on an adaptive genetic algorithm is proposed. Firstly, the impact of load radial offset, load quantity, transmission distance, and load resistance on system transmission efficiency in multi-load MCR-WPT systems is analyzed, and the results are verified using a combined simulation with Maxwell and Simplorer. Subsequently, an adaptive genetic algorithm is employed to find the optimal solution for key parameters affecting system efficiency, such as load radial offset, load resistance, and transmission distance, thereby achieving the best transmission efficiency for the system. The simulation results indicate that the overall transmission efficiency of the optimized system reaches 83.2%, a 7.7% improvement compared to the efficiency before optimization. Finally, an experimental platform for the multi-load MCR-WPT system is established for validation, and the experimental results show that the overall transmission efficiency of the optimized system reaches 81.6%, an 8.2% enhancement over the pre-optimization figures. Both simulation and experimental results confirm the effectiveness of the proposed adaptive genetic algorithm-based parameter optimization method for multi-load MCR-WPT systems. |
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