Adaptive Learning of Engine Friction Specific Variations by Engine Management System

Several detailed models has been developed to determine the individual influence of vehicle related components on the calculation of the desired idle engine speed or torque estimation within the engine management system. Depending of the complexity of those models, calibration effort can become a challenge to ensure acceptable results towards drivability and emissions within the given limited development time. Capturing deviations over the lifetime are rarely traced within those models.

The aim of this writing is to point out a methodology that is able to simplify existing models and provides a way to include possible variations of components over their lifetime. This approach will be described on calculation of desired idle engine speed and torque estimation for a given engine management concept.