Applying AI Technologies to Vehicle Sensor Modeling

This presentation introduces a method of applying AI technology to vehicle sensor modeling. In this method, machine learning with non-parametric regression is applied. A detailed GT-SUITE vehicle model is coupled with Simulink^® to generate design data needed for sensor modeling. Relevant predictors are selected. The AI training algorithm is applied. The NOx sensor model is designed based on the data generated from the detailed GT-SUITE vehicle model. The FTP-75, US06, and HWFET are used for the vehicle running setup. The developed NOx sensor model is embedded into Simulink and coupled with the GT vehicle model to verify the prediction capacity. The LA92 driving cycle and Brazilian road test are used on the sensor model validation. The machine learning technology on NOx sensor modeling proves to be successful and will have a wide range of applications in the automotive industry.