Data-Based Engine Torque and NOx Raw Emission Prediction

Low accuracy is the main challenge that plagues application of engine modeling technology at present. In this paper, correlation analysis used to analyze influencing factors torque and NOx (nitrogen oxides) raw emission performance from a statistical point view, on basis, regression algorithm construct prediction model. The RMSE between value true reaches 4.6186, R2 1.00. Prediction 67.599, 0.99. When using new WHTC data for model verification, predicted 4.9208, 99.60%, 72.38, 99.2%, indicating relatively accurate. evaluation result ambient temperature impact shows positively correlated with torque.