Method for the model-based open-loop and closed-loop control of an internal combustion engine

Patent metadata

Field	Value
Publication number	US-11788484-B2
Application number	US-202217993578-A
Country	US
Kind code	B2
Filing date	Nov 23, 2022
Priority date	May 27, 2020
Publication date	Oct 17, 2023
Grant date	Oct 17, 2023

Abstract

A method for a model-based open-loop and closed-loop control of an internal combustion engine includes the steps of: calculating, by an optimizer, a pre-optimized quality measure based on an operating situation, wherein, in calculating the pre-optimized quality measure, a plurality of discrete manipulated variables having a plurality of discrete settings are interpreted as a plurality of continuous manipulated variables having a continuous settings range; quantizing the plurality of continuous manipulated variables, and the plurality of continuous manipulated variables are set as a plurality of new discrete manipulated variables (SG(new)) having a plurality of discrete settings; and calculating, by the optimizer, a post-optimized quality measure based on the plurality of new discrete manipulated variables and the operating situation of the internal combustion engine, and the post-optimized quality measure is set as critical for an operating point of the internal combustion engine by the optimizer.

First claim

What is claimed is:

1. A method for a model-based open-loop and closed-loop control of an internal combustion engine, the method comprising the steps of:
calculating, by an optimizer, a pre-optimized quality measure based on an operating situation of the internal combustion engine, wherein, in calculating the pre-optimized quality measure, a plurality of discrete manipulated variables having a plurality of discrete settings are interpreted as a plurality of continuous manipulated variables having a continuous settings range;
quantizing the plurality of continuous manipulated variables, and the plurality of continuous manipulated variables are set as a plurality of new discrete manipulated variables (SG(new)) having a plurality of discrete settings; and
calculating, by the optimizer, a post-optimized quality measure based on the plurality of new discrete manipulated variables and the operating situation of the internal combustion engine, and the post-optimized quality measure is set as critical for an operating point of the internal combustion engine by the optimizer.

2. The method according to claim 1 , wherein the pre-optimized quality measure (J(PRE)) is determined by calculating a plurality of injection system setpoint values for activating a plurality of injection system actuators via a combustion model, by calculating a plurality of gas path setpoint values for activating a plurality of gas path actuators via a gas path model, and by calculating the plurality of continuous manipulated variables (SG(c)) from the discrete settings of the plurality of discrete manipulated variables via interpolation.

3. The method according to claim 2 , wherein the pre-optimized quality measure (J(PRE)) is specified to be access free for a plurality of actuators of the internal combustion engine, the plurality of actuators including the plurality of injection system actuators and the plurality of gas path actuators.

4. The method according to claim 3 , wherein, in the step of quantizing, the plurality of continuous manipulated variables (SG(c)) are quantized via switching thresholds in addition to hysteresis.

5. The method according to claim 1 , wherein the post-optimized quality measure is determined—in the step of calculating the post-optimized quality measure by calculating a plurality of injection system setpoint values for activating a plurality of injection system actuators via a combustion model, by calculating a plurality of gas path setpoint values for activating a plurality of gas path actuators via a gas path model, and by, in a case where a plurality of the new discrete manipulated variables (SG(new)) are constant, the optimizer performing the step of calculating via a change of the plurality of injection system setpoint values and the plurality of gas path setpoint values via a minimum finding within a prediction horizon.

Assignees

• Rolls Royce Solutions Gmbh

Inventors

• Niemeyer Jens
• Geiselhart Roman
• Graichen Knut
• Bergmann Daniel

Classifications

• F02D41/1406 Primary

  with use of a optimisation method, e.g. iteration · CPC title

• F02D41/1402

  Adaptive control · CPC title

• F02D41/3005

  Details not otherwise provided for · CPC title

• F02D2041/1433

  using a model or simulation of the system · CPC title

• F02D2041/1412

  using a predictive controller · CPC title