Revolutionizing Dynamic Electric Vehicle Charging: Innovations in Inductive Power Transfer System Optimization

Inductive charging, which is based on transformer theory, transfers energy via an air gap from an electric vehicle's (EV) secondary wiring to the main circuit of the charging station. Since dynamic inductive charging allows an electric vehicle (EV) to wirelessly gather energy while in motion, it seems to be the ideal solution for increasing the limited travel range of EVs. However, the current state of research for dynamic Inductive Power Transfer (IPT) solutions limits the use of this technology when the EV passes over the charging station fast. The aim of this study is to provide a novel optimization technique for the purpose of determining the values for the variables involved in the electrical operation of a dynamic IPT system. The optimization approach takes into consideration limits connected to the operating conditions in the main and secondary side of the IPT system to define the movement section, where the energy delivered to the EV is maximized at a notably high system efficiency. The parameters acquired during the optimization process are used to regulate the secondary side of the IPT system. Furthermore, a control scheme is proposed that effectively eliminates the need for a detection mechanism and continuous data transfer between the primary and secondary sides. To adhere to the suggested management approach, the charging station must run at a low efficiency movement segment without suffering noticeable energy losses in this specific area. The suggested control approach is validated by modelling the dynamic IPT system operation throughout the whole range of EV movement. A circular pad with a diameter of 60 cm serves as an example of how the recommended optimization strategy is put into practice. An experimental setup has been used to study the optimization process and assess how well the system functions.