Efficient energy transmission opens the wireless era A wireless energy transmission docking method with deep learning and rectification sampling for efficiency optimization

Global climate problems and many environmental problems have promoted the development of new energy. Therefore, many new technologies based on new energy sources have emerged. As a new energy power system, electric vehicle has attracted much attention, and its charging problem has always been a hot topic. In this paper, starting from the wireless charging of electric vehicles, the problem of inaccurate docking of the original auxiliary coil is introduced. In order to solve this problem, this paper first introduces several methods and points out their shortcomings. Then the docking scheme of this paper is introduced, and the whole docking process is introduced in detail. Subsequently, this paper introduces the design of docking scheme in detail. In this paper, multisim is used to build circuits, and a series of circuits such as receiving, rectifying, voltage reducing and sampling are built to collect and record the received electric energy data. In this paper, Monte Carlo simulation and annealing algorithm are used to determine the search range and path, which creatively and logically solves the problem of how to search the best charging point. In addition, this paper also uses the described method to carry out experiments and simulations, and gives a chart analysis of the experimental results, which further verifies the feasibility of the scheme. Finally, this paper briefly summarizes the full text, analyzes the application prospect of this device, and puts forward several expected effects including improving the construction of microgrid.