A Kind of Prediction Model of Characteristic Parameters of Combustion on Diesel Engine Based on Back-propagation the Neural Network Technology

CA50 is a vital feedback variable in close-loop control strategy of diesel engine based on in-cylinder pressure,whose value effects the performance of diesel engine. The relationship between main injection timing and CA50 is studied in a high pressure common rail diesel engine,and the influence of CA50 on the performance of engine is also studied. 190 testing points are selected as the total sample,of which including 125 testing points as training sample and 65 testing points as the testing sample,by using BP neural network an prediction model of CA50 is built. Result shows that the model is accurate within the error-allowed range,and it meets the needs of feed-forward control basically.