Characteristic Analysis for Multi-Objective Optimization in Wireless Power Transfer System

2023 IEEE International Conference on Power Science and Technology (ICPST) Pub Date : 2023-05-05 DOI:10.1109/ICPST56889.2023.10165453

Qiang Bo, Mingzhi Fu, Xuhui Shen, Weiguo He, Meng Qin, Ruibin Zhao, Xingguang Jiang, Xiaojiang Guo

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Abstract

For the optimal design problem of wireless power transfer (WPT) system, the conventional optimization method only optimizes for a single objective and cannot make multi-objective globally optimal in the feasible region. In this paper, firstly, the output power, transmission efficiency and capacitor voltage stress are taken as the optimization objectives, and the optimized variable is the compensation inductance value. Secondly, a linearity-weighted-sum function of multi-objective optimization method is proposed to achieve the global optimization of LCC-S WPT system, and the feasibility of this multi-objective optimization method is demonstrated by comparing with the traditional optimization method. Finally, a 1 kW WPT system for automated guided vehicle (AGV) was built to verify the validity of the proposed optimization method. Simulation and experimental results agree well with theoretical analysis, all switches realize ZVS within the entire power range which can realize the reliable operation for the system, and 93.3% efficiency from DC power source to battery load is achieved with k = 0.13.

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无线电力传输系统多目标优化特性分析

对于无线电力传输(WPT)系统的优化设计问题，传统的优化方法只能对单个目标进行优化，而不能在可行区域内对多目标进行全局优化。本文首先以输出功率、传输效率和电容电压应力为优化目标，优化变量为补偿电感值。其次，提出了一种线性加权和函数多目标优化方法来实现LCC-S WPT系统的全局优化，并通过与传统优化方法的比较，论证了该多目标优化方法的可行性。最后，以1 kW的自动导引车WPT系统为例，验证了所提优化方法的有效性。仿真和实验结果与理论分析吻合较好，所有开关在整个功率范围内均实现了ZVS，可以实现系统的可靠运行，从直流电源到电池负载的效率达到93.3%，k = 0.13。

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2023 IEEE International Conference on Power Science and Technology (ICPST)

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