Dynamic Impedance Matching of Multiple Loads in Wireless Power Transfer Using a Genetic Optimization Approach
Adaptive tuning in wireless power transfer (WPT) systems is an important method to increase efficiency and to adapt to changes in system parameters, such as when loads are physically moved. Previous works have introduced solutions for a single load, where network methods or analytical techniques could find an optimal solution. The introduction of multiple loads in a WPT system, however, changes the system to a N ⋝ 3 port system and increases measurement and calculation complexity. We introduce a genetic algorithm approach that removes the necessity for expensive network measurements or complex calculations. We demonstrate our approach in a two-load WPT system that is able to increase relative efficiency by 23% and 800% to two loads through tuning and does so with a 96.8% reduction in tuning time compared to a brute-force approach.