Wireless Power Transfer (WPT) technology has attracted much attention because it is free from the limitations of physical cables, but its efficiency is limited by transmission distance, environmental interference and load changes. This paper presents an adaptive wireless energy transmission system with tuning and efficiency optimization of binary weighted capacitor arrays. By adjusting the resonant frequency and transmitting power in real time, combined with improved particle swarm optimization (PSO) intelligent optimization algorithm, the energy transmission efficiency and system stability can be significantly improved. The experimental results show that the power adaptive adjustment algorithm adjusts the transmit power according to SOC, and realizes fast charging, linear adjustment and trickle charging modes. Under the improved PSO strategy, the response time of the system to distance and load sudden change is less than 10 ms, the stability recovery time is less than 50 ms, and the efficiency recovery accounts for 89%, and the average efficiency of the optimized system is increased by 42.99%. When the load changes, the transmission efficiency fluctuates less than 2%, and the system has good robustness. After the introduction of metal barriers, the dynamic tuning efficiency of the system is maintained at 70.4%, and the unoptimized system efficiency is reduced to 44.6%, which indicates that the anti-interference performance of the system is good, and provides theoretical support for the design of high-efficiency wireless charging system for electric vehicles.
Li et al. (Sun,) studied this question.