车用柴油机扭矩和烟度的神经网络分析研究

Artificial Neural Network Analysis of a Vehicle Diesel Engines Torque and Smoke level

在内燃机工程中人工神经网络技术是一种较新颖的方法。本文介绍以扭矩和烟度为输出参数的车用柴油机稳态神经网络模型、根据所建立的模型对东风汽车公司6BTA柴油机的扭矩和烟度进行的神经网络计算分析,以及利用神经网络对某一工况的稳态烟度作的优化计算。

Artificial neural network (ANN) is a novel method in the internal combustion engine engineering. In this paper,elaboration is made on a steady state ANN model established for a vehicle diesel engine by using its torque and smoke levelas output parameters, and the analysis and calculation conducted for prediction of torque and smoke level of diesel engine6BTA manufactured in DFM Corp using the established model, as well as the modeling to optimize the steady-state smokelevel at a certain engine load.