The application discloses a method for load and mutual
inductance synchronization identification of a multi-frequency and multi-load
wireless power transmission system. First,
input impedance equation sets under different frequencies are established under
system steady state to obtain a relationship expression of mutual
inductance and load. Meanwhile, a sliding window DFT is used to extract a frequency component of a primary side multi-frequency superimposed current according to
system working frequencies. Then, a
particle swarm algorithm is designed by taking an error between an actual output
voltage value and a theoretical value as a
fitness function, a parameter identification problem is converted into an
algorithm optimization problem, and an optimal solution search is performed on the parameter to be identified to replace a traditional calculation method, so that errors generated by the traditional equation are avoided. The application only needs to analyze a model of system
input impedance, has a
simple circuit structure, does not need an additional
control circuit, and only needs to sample an input
bus voltage, a primary side current and an output
voltage, so that communication data volume can be effectively reduced,
circuit complexity is reduced, system volume is reduced, and a
working range of a
wireless charging system is expanded.