Abstract
The proposition of this research is to understand whether it is possible to estimate the CE of the statistical model from the surrounding sensor data. The viewpoint of verification is used by time difference of time series data. For using engine data, it was according to the speed of the vehicle and an auto correlation function calculated with shifting the time difference and making a statistical model. This modeling is based on engine running data with WLTC (Worldwide-harmonized Light vehicles Test Cycle). However, no previous research would give us the detail information about type of data. This type had training data which might contribute to make accuracy better. Accordingly, we tried to improve the estimation accuracy, it depends on the choice of Max Time Lag in order to establish. Moreover, Gibbs phenomenon might be happen by Lag settings. In this study, GP which is widely way as a statistical model for the estimation of in-cylinder intake air.
