车用柴油机扭矩和烟度的神经网络分析研究

Artificial Neural Network of Torque and Smoke Density for Vehicle Diesel Engine

建立了以扭矩和烟度为输出参数的柴油机稳态神经网络模型 .并根据所建立的模型针对东风汽车公司制造的 6BTA柴油机的扭矩和烟度进行了神经网络的计算分析 ,计算结果和实测数据基本相符 .同时对某一工况稳态烟度参数进行了优化计算 .

In this paper a steady state ANN model with the torque and smoke density as output parameters. For diesel engine is established. The torque and smoke density of 6BTA diesel engines manufactured by DFM corporation are analyzed and calculated by using the model .The calculated results are consistent with the measured data. The optimization of smoke density under a certain operating condition is calculated.