Emission Prediction of GDI Vehicle Based on Combination Model under Plateau Environment

WANG Longdi; HE Chao; LI Jiaqiang; LIU Xueyuan; WANG Hao

Vehicle Engine ›› 2023, Vol. 0 ›› Issue (2) : 67-72.

WANG Longdi^1,2,HE Chao^1,2,LI Jiaqiang^1,2,LIU Xueyuan^1,2,WANG Hao^1,2

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Abstract

In order to predict the transient CO and PN emissions of gasoline direct injection(GDI) vehicle in plateau, a prediction model based on deeplearning was developed and assessed. First, a portable emission measurement system(PEMS) was used to test the road emission of a GDI vehicle. The singular spectrum analysis is introduced to process the original time series and eliminate the outliers of the time series. The XGBoost model was used to preliminary predict CO and PN emissions of GDI vehicle, the SVR model was then used to correct the residual, and the final predicted values were obtained. Finally, the predicted results were compared with experimental values of road emission measured using PEMS. The experimental results show that the established XGBoost-SVR emission prediction model can better predict the transient CO and PN emissions of GDI vehicle. Compared with the single XGBoost model, the RMSE improves by 22.9% and 39.7% respectively. R² determination coefficients are both larger than 0.9, supporting the reliability of predicted results. This model has certain engineering significance for monitoring the emissions of GDI vehicles under situations of actual road driving in domestic plateau environment.

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/ mso-hansi-font-family: 宋体">plateau;gasoline direct injection;emission prediction;combination model

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WANG Longdi,HE Chao,LI Jiaqiang,LIU Xueyuan,WANG Hao. Emission Prediction of GDI Vehicle Based on Combination Model under Plateau Environment[J]. Vehicle Engine. 2023, 0(2): 67-72