基于转矩需求和进气量广义预测的汽车发动机空燃比神经网络控制方法  

Neural Network Control Method for Automotive Engine Air-fuel Ratio Based on Torque Demand and Generalized Prediction of Intake Volume

作　　者：朱慧敏 颜天敏 杨雪莉 林远鹏 Zhu Hui-min;Yan Tian-min;Yang Xue-li;Lin Yuan-peng(Geely University of China,Chengdu 641423,China)

机构地区：[1]吉利学院,四川成都641423

出　　处：《内燃机与配件》2024年第13期18-20,共3页Internal Combustion Engine & Parts

摘　　要：分析燃烧特性与温度值,进行汽车发动机空燃比控制,但是忽略了发动机内部喷输油过程的延迟性影响,导致控制结果空燃比与理想值偏差较大。因此,提出基于转矩需求和进气量广义预测的汽车发动机空燃比神经网络控制方法。基于转矩需求分析汽车动力系数,针对发动机喷输油过程对发动机进气量进行广义上的预测,根据预测值对喷输油延迟进行补偿,优化空燃比控制律实现控制过程。实验结果表明:本文方法应用后得出的控制结果,表现出的空燃比变化与理想的14.7空燃比十分接近,控制效果较为优质,满足了汽车发动机燃烧质量的实际需求。The combustion characteristics and temperature values were analyzed to control the air fuel ratio of automotive engines.However,the delay effect of the internal fuel injection process was ignored,resulting in a significant deviation between the control results and the ideal value of the air fuel ratio.Therefore,a neural network control method for automotive engine air-fuel ratio based on torque demand and generalized prediction of intake volume is proposed.Based on torque demand analysis of automobile power coefficient,a generalized prediction of engine intake during fuel injection is made,and the fuel injection delay is compensated according to the predicted value.The air fuel ratio control law is optimized to achieve the control process.The experimental results show that the control results obtained after the application of the method in this article are very close to the ideal 14.7 air-fuel ratio,and the control effect is relatively high-quality,meeting the actual requirements of combustion quality for automotive engines.

关 键 词：汽车发动机 发动机空燃比 转矩需求 进气量广义预测 神经网络 空燃比控制 

分 类 号：U464.114[机械工程—车辆工程]