电动汽车充电桩充电快速性控制仿真

Simulation of Charging Speed Control of Electric Vehicle Charging Pile

电动汽车充电桩控制系统是一个时变性强、多参数的非线性系统,当对电动汽车动力电池进行大电流快速充电时,需要对输出电流以及电压进行实时在线快速调整,以满足电池的最佳充电曲线。使用传统的PID控制系统进行控制时,反应速度慢、抗干扰能力差且不能在线自适应调整,控制效果不佳,影响电池使用寿命。基于此,在PID控制的基础上结合免疫反馈和模糊控制,设计一种串联模糊免疫自适应PID控制器的充电控制系统。该系统用模糊免疫反馈控制在线调整比例系数,用模糊自适应控制在线调整积分和微分时间常数。通过仿真,与传统PID控制系统以及模糊PID控制系统进行对比,得出该控制系统动、静态品质更好,抗干扰、鲁棒性以及自适应能力更强,达到优化充电曲线的目的。

The charging pile of electric vehicle is a nonlinear system with time -varying and multiparameter. When the electric vehicle power battery is charge by high - current quickly, the output current and voltage need to be adjusted online in real - time to meet the battery＇s best charging curve. The control effect is not good when using the traditional PID control system to control, the reaction speed is slow, and the anti - interference ability is poor and can not be adjusted on - line, which affects the battery life. Based on this, on the basis of PID control, combined with immune feedback and fuzzy control, we designed a charging control system that cascades fuzzy immune self - adaptive controller. The system uses fuzzy immune feedback control to adjust the scale factor online, adjusts the integral and differential time constant online with fuzzy adaptive control. Comparing it with the PID control system and the fuzzy PID control system through simulation, we may see that this system has better dynamic and static quality, higher robustness, anti interference, powerful robustness and adaptive ability, achieving the purpose of optimizing charging curve.