Soot Mass Concentration Prediction at the GPF Inlet of GDI Engine Based on Machine Learning Methods

• Published in: Energies (Basel) Vol. 18; no. 14; p. 3861
• Main Authors: Hu, Zhiyuan, Liu, Zeyu, Shen, Jiayi, Wang, Shimao, Tan, Piqiang
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.07.2025
• Subjects: Accuracy; Air pollution; Air quality management; Algorithms; Data collection; Datasets; Diesel engines; Energy consumption; Engines; Gasoline; GDI engine; GPF; Machine learning; Methods; Neural networks; prediction; soot mass concentration

To improve the prediction accuracy of soot load in gasoline particulate filters (GPFs) and the control accuracy during GPF regeneration, this study developed a prediction model to predict the soot mass concentration at the GPF inlet of gasoline direct injection (GDI) engines using advanced machine l...