WPT compensation topology optimized for PV embedded electric vehicle

Abstract

The incorporation of renewable energy sources into Electric Vehicle (EV) integration systems to charge the onboard charger will result in a significant increase in the number of EV and industrial equipment in the next years. Wireless Power Transmission (WPT) technology is a significant source of operation in the field of power transmission, with enormous potential in a wide range of applications. The resonance phenomenon has lately acquired favor as a method of transferring electricity to a load efficiently across a large air gap. This research presents an efficient L2CL-LCL correction in WPT for obtaining electricity from the PV array and charging the EV’s battery. To demonstrate its advantages, the L2CL-LCL method is compared to the DSLCL compensation method. The system adjusts the transmit current of the primary coil to maintain stable output power, maximize power transfer efficiency, and power transferred to the load using an Improved Weighted Chimp Optimization (IWdCH) algorithm that searches for the coupling coefficient 'k' of the elements of the compensation networks. Finally, the proposed system was implemented in Python power electronics software and its superiority was demonstrated by comparing it to conventional optimization algorithms. It outperforms conventional optimization algorithms in terms of efficiency, with anefficiency of 95 %.