基于神经网络的发动机空载模型辨识  

Identification of Engine No-load Model on thd Basis of Nerve Network

作　　者：雷雨龙[1] 葛安林[1] 张宏坤 范巨新[1] 高义峰 

机构地区：[1]吉林工业大学

出　　处：《汽车技术》1998年第3期5-7,共3页Automobile Technology

摘　　要：发动机空载工况的辨识在车辆动力传动系统仿真和车辆的起步、换档自动控制中起着重要的作用。分析了发动机空载工况的特点和神经网络在非线性系统辨识中的优越性，建立了发动机空载工况辨识的神经网络模型，并根据实验所得数据对492汽油机空载工况进行了辨识，取得了满意的效果。Important function is played by identification of engine no-load mode in simulation of power transmission system, starting and automatic shifting control of motor vehicle. Feature of engine no-load mode and superiority of nerve network in identification of non-linear system are analyzed, nerve network model of engine noload mode established and satisfactory result gained by identifying the model 492 gasoline engine no-load mode based on testing data.

关 键 词：空载模型 辨识 汽车发动机 汽油机 神经网络 

分 类 号：U464.171[机械工程—车辆工程]