Model-based calibration of dynamic plants in engine applications

摘要

The aim of this paper is to display the possible use of model-based calibration of linear and non-linear dynamic plant behaviour. The application of calibrating the air and fuel path of an SI-engine with real data has been realised to demonstrate the effectiveness of the described proceedings. The first step is to estimate the manifold time constant and the variable delay time from the moment the outlet valve opens until the exhaust gas reaches the air-fuel-ratio sensor using a linear adaptive Kalman-Filter. The second step is to identify the fuel path, especially the wall wetting parameters, using a linea Kalman-Filter approach to solve the regression problem. The algorithms shown are particularly useful for automated schemes for future dynamic calibration applications.