Predictive Modeling of Thermo-Temporal Characteristics in Wireless Power Transfer - A Statistical Study

In this work, a frequency and phase shift control scheme is implemented for wireless power transfer systems for light-duty electric vehicles considering the power transfer efficiency (PTE) is a key-performance-indicator. In the first step, sensor readings are used in the control algorithm, showing that the implemented control ensures highly efficient power transfer that improves the overall system performance. Moreover, the collected data are further checked for suitability to build a predictive model whose output can be used as input for the proposed control scheme in subsequent work. Therefore, this paper presents a model of phase drift sensor data based on time series estimation mechanisms, which are vital for prediction processes. The predicted model is compared with the experimental phase drift sensor readings proving the efficiency of utilizing a data-based predictive model with actual samples and showing how suitably these models can substitute or support the sensor readings in a control algorithm.