Tracking method for the extreme point of efficiency of electric vehicle wireless charging pile when the frequency is bifurcated

Abstract

The invention discloses a method for tracking an efficiency extreme point of an electric vehicle wireless charging pile in frequency bifurcation, wherein particle swarm sizes in a general particle swarm algorithm are separated respectively as a maximum particle swarm size Nmax=30 and a minimum particle swarm size Nmin=2; and with the increase of the number of iterations, the particle swarm sizes are gradually reduced in the operation of the algorithm, thus simplifying the algorithm and quickening the convergence rate of the algorithm at the later stage. By adopting the particle swarm algorithm in the invention, the selection of the particle swarm sizes are evidence-based, thus the convergence rate is quickened and the searching time is reduced at the later stage of search.

Description

technical field [0001] The invention belongs to the technical field of an electric vehicle wireless charging pile efficiency extreme point tracking method, in particular to a frequency bifurcation electric vehicle wireless charging pile frequency extreme point tracking method. Background technique [0002] With the promotion of the national new energy strategy and the development of the electric vehicle industry, the electric vehicle charging industry has developed rapidly, and the wireless charging method has received greater attention in the field of electric vehicles. There are three main ways of wireless energy transmission: the first is electromagnetic induction; the second is microwave radio frequency; the third is magnetic coupling resonance. The basic idea of ​​the third is based on the principle of magnetic coupling resonance: when the excitation frequency of the power supply reaches a certain value, the entire system is in a state of resonance, and at this time wir...

AI Technical Summary

Problems solved by technology

[0004] The technical problem solved by the present invention is to provide a method for tracking the frequency extreme point of the electric vehicle wireless charging pile when the frequency is bifurcated. This method makes the particle size gradually decrease with the increase of the number of iterations, and mainly solves the problem in the magnetic coupling wireless power transmission system. The traditional particle swarm optimization algorithm takes a long time in the optimization process and the algorithm itself has inaccurate selection of the number of particles. In the later stage of the algorithm search, the number of particles is reduced to the minimum, and the algorithm reduces redundant calculations. quickly find the optimum

Images