Experimental data validating the optimization of a wireless power transfer prototype employing a novel phase shift measurement system and frequency control

Resonant wireless power transfer (WPT) systems have been evolving and improving their designs over the last few years to efficiently charge electric vehicles, cellphones, and biomedical devices. In this article, we present to the scientific community the data obtained from the optimization of a resonant WPT prototype, operating at different vertical misalignments and load conditions, known to have an impact on the behavior of these type of systems. To maximize the power transferred to the load, we developed a proportional-integral frequency control algorithm that employs the phase-shift between the voltage and current waveforms in the transmitting antenna (resonance indicator) as a setpoint. Data on the performance and control optimization process of the prototype during laboratory tests were acquired using a LabVIEW interface, which was designed to capture information such as the evolution of the frequency, the phase-shift, and the load voltage, from multiple devices (a microcontroller, an oscilloscope, a digital multimeter, and a controllable power supply). The data were organized and presented in tables and graphs using Matlab. The importance of the datasets relies on the opportunity to utilize the information to model novel intelligent control algorithms, such as artificial neural networks controllers and adaptative neuro-fuzzy inference systems, which benefit from experimental training data.