A Diesel Engine Real-time NO_x Emission Simulation System Based on Neural Network
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The traditional NOx emission model based on Zeldovich chain reaction needs a lot of calculation time,couldn't meet the real-time demand of HILSS.So the neural network NOx emission model base on the reflection relationship between the amount of NOxand some direct influence factors is a good solution to the contrast of accuracy and real time demand.The BPNN is trained by Bayesian regularization,which updates the weight and bias values according to Levenberg-Marquardt optimization and so as to produce a network that generalizes well.The verify of NOx emission NN model shows it is simple,reliable and universal to other type of diesel engine,and this model even could predict the state of transient engine NOxemissions accurately to some extent.