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 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.
Steps to reproduce
Data were acquired using a hardware prototype found in https://zenodo.org/record/5866775#.YlX6HMjMI2w The data were acquired using a LabVIEW interface that collected the information from the outputs of the devices measuring the phase-shift behavior and the voltage response of the wireless power transfer prototype via USB connections. Specifically, the system stored the frequency and the phase shift computed by the Teensy 4.1 microcontroller after each iteration of the PI controller, and similarly, stored the voltage in both the primary side and the load, which were captured by the oscilloscope’s channels. In addition, a digital multimeter was employed to corroborate the load voltage data. Subsequently, the captured data were organized using Matlab. The data acquisition system comprises: • Computer with the developed LabVIEW interface. • A four-channel oscilloscope model SIGLENT SDS1104X-E (only two channels were required). • Controllable Power Supply model SIGLENT SPD3303X-E. • Teensy 4.1 microcontroller. • USB cables. The data presented were collected during multiple laboratory tests, in which the wireless power transfer prototype was operating under different misalignment and load conditions. A P-I frequency control algorithm was implemented to optimize the power transfer in each test. The evolution of the frequency, phase-shift, primary side and load voltage over time was stored with the help of the data acquisition system. Three load conditions were evaluated: 1. 100 Ω resistor 2. 500 Ω resistor 3. 1 kΩ resistor Furthermore, three vertical misalignments between the transmitting and receiving coils of the prototype were assessed: 1. z = 0 mm 2. z = 4 mm 3. z = 8 mm