METHOD FOR THE MODEL-BASED CONTROL AND REGULATION OF AN INTERNAL COMBUSTION ENGINE
A method for the model-based control and regulation of an internal combustion engine. The method includes calculating, as a function of a set torque, injection system set values for controlling the injection system actuators via a combustion model and calculating gas path set values for controlling the gas path actuators via a gas path model. The combustion model is adapted during operation of the internal combustion engine into the form of a complete data-based model. A measure of quality is minimized by an optimizer by changing the injection system set values and gas path set values within a prediction horizon, and the injection system set values and gas path set values are set by the optimizer, which is critical for adjusting the operating point of the internal combustion engine by using the minimized measure of quality.
1 . A method for model-based control and regulation of an internal combustion engine, comprising:
calculating, via a combustion model, as a function of a set torque (M(SOLL), injection system set values for controlling the injection system actuators;
calculating, via a gas path model, gas path set values for controlling the gas path;
adapting the combustion model data-based during ongoing operation of the internal combustion engine;
minimizing a measure of quality (J), by an optimizer, by changing the injection system set values and gas path set values within a prediction horizon; and
setting, by the optimizer, the injection system set values and the gas path set values as being critical for adjusting the operating set point of the internal combustion engine by using the minimized measure of quality (J).
2 . The method according to claim 1 , wherein the combustion model is in the form of a completely data-based model.
3 . The method according to claim 2 , wherein the data-based model is created in a first step and the set values of the internal combustion engine are varied on a single cylinder test bench, wherein in a second step trend information is produced from the values of the single cylinder test bench, and wherein in a third step a deviation of the measured values of the single cylinder test bench is minimized to a first Gaussian process model by adhering to the trend information.
4 . The method according to claim 3 , wherein via the data-based model, through extrapolation, new data values are generated for non-measured operating ranges of the internal combustion engine.
5 . The method according to claim 3 , wherein the trend information is stored in terms of a linear, monotonic, or unrestricted function.