Aiming at the electric vehicle charging pile control system has the characteristics of multi-parameter, strong coupling and non-linearity, and the existing traditional PID control and fuzzy PID control methods have the problems of slow charging speed, poor control performance and anti-interference ability, as well as seriously affecting the service life of the battery, this paper designs a kind of improved particle swarm algorithm to optimize the PID controller of the charging control system for electric vehicle charging piles, and utilizes the improved particle swarm algorithm to Adaptive and precise adjustment of proportional, integral and differential parameters, so that the system quickly reaches stability, so as to improve the accuracy of the system control output current or voltage. Simulation results show that the optimized system response speed of the improved particle swarm algorithm is improved by 3.077 s, the overshooting amount is reduced by 1.01%, and there is no oscillation, which has strong adaptability and anti-interference ability, and can significantly improve the control accuracy and charging efficiency of the charging pile control system.

针对电动汽车充电桩控制系统具有多参数、强耦合、非线性等特点，现有传统PID控制和模糊PID控制方法存在充电速度慢、控制性能差、抗干扰性差等问题本文设计了一种改进的粒子群算法对电动汽车充电桩充电控制系统的PID控制器进行优化，并利用改进的粒子群算法对电动汽车充电桩充电控制系统进行自适应和自适应控制。精确调节比例、积分、微分参数，使系统快速达到稳定，从而提高系统控制输出电流或电压的精度。仿真结果表明，改进粒子群算法优化后的系统响应速度提高了3.077 s，超调量减少了1.01%，且不存在振荡，具有较强的适应性和抗干扰能力，可显着提高系统响应速度。充电桩控制系统的控制精度和充电效率。