Research on Minimum Copper Loss Control Strategy Based on Particle Swarm Optimization Algorithm
摘要
The open winding permanent magnet synchronous motor is driven by two sets of inverters and has the characteristics of high power and torque, which is applied to electric vehicles. This article aims to reduce the copper loss of open winding permanent magnet synchronous motors and proposes a variable decoupling angle modulation strategy based on the system. This strategy takes the angle (decoupling angle) between the output voltage vectors of two sets of inverters as the control variable, and uses particle swarm optimization algorithm to select the optimal decoupling angle based on different load states of the motor, driving an open-winding permanent magnet synchronous motor to reduce copper consumption. Through simulation verification, this strategy effectively reduces motor copper consumption and provides theoretical support for controlling electric vehicle operating losses.