Model-based method of estimating crankcase oil pressure in an internal combustion engine

The present invention relates to a model-based method of estimating the crankcase oil pressure of an internal combustion engine. An improved method of estimating the oil pressure of an internal combustion engine utilizes a physical model that takes into account both engine speed and engine oil temperature. The oil pressure is estimated as the sum of static and dynamic components, where the dynamic component includes a first portion that primarily models flow-related effects, and a second portion that primarily models temperature-related effects. The constants and temperature-related variables of the physical model are combined to form one constant calibration value, and two temperature-dependent calibration values. The parameters of the physical model provide a starting point for the calibration values, and the calibration values are then tuned during a calibration procedure so that the estimated oil pressure tracks an accurate measure of the oil pressure during both steady-state and transient engine operating conditions.