混合动力汽车发动机在怠速状态下的控制  

Control of Hybrid Electric Vehicle Engine in Idling State

作　　者：吴毅 帕孜来·马合木提[1] 纪承乾 WU Yi;Pazilai MAHEMUTI;JI Chengqian(College of Electrical Engineering,Xinjiang University,Urumqi Xinjiang 830046,China)

机构地区：[1]新疆大学电气工程学院,新疆乌鲁木齐830046

出　　处：《机床与液压》2021年第20期145-149,共5页Machine Tool & Hydraulics

摘　　要：针对发动机进入怠速状态下时,存在超调过大和响应速度慢的问题,提出一种Runge-Kutta预测自适应PID算法来对油电混合动力汽车的发动机进行怠速跟踪控制。首先通过Runge-Kutta对系统状态进行预测计算,得出下一步的系统预测输出,再由设定值与预测输出值得出两者偏差信号,结合最优梯度下降法在线修正PID参数,使得系统实现事先调整进而快速进入发动机怠速状态的目的,这样也有利于降低整车燃油消耗。从最终的仿真结果来看,超调和响应时间都有了很大的改善,从而验证了该方法的有效性和可行性。Aiming at the problems of excessive overshoot and slow response speed when the engine enters the idling state,this paper proposes a Runge-Kutta predictive adaptive PID algorithm to control the idling speed of the hybrid electric vehicle engine.First,Runge-Kutta is used to predict and calculate the system state,and the next step is to obtain the predicted output of the system.Then the deviation signal between the set value and the predicted output value is obtained,combined with the optimal gradient descent method to modify the PID parameters online,so that the system is realized.The purpose of pre-adjustment to quickly enter the engine idling state will also help reduce the fuel consumption of the vehicle.From the final simulation results,overshoot and response time have been greatly improved,thus verifying the effectiveness and feasibility of the method.

关 键 词：Runge-Kutta预测自适应PID算法 怠速跟踪控制 最优梯度下降法 在线修正 

分 类 号：U464.9[机械工程—车辆工程]