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

Patent metadata

Field	Value
Publication number	US-11846245-B2
Application number	US-202217870280-A
Country	US
Kind code	B2
Filing date	Jul 21, 2022
Priority date	Jan 21, 2020
Publication date	Dec 19, 2023
Grant date	Dec 19, 2023

Abstract

A method for a model-based open-loop and closed-loop control of an internal combustion engine includes the steps of: determining, via a combustion model, injection system setpoint values for controlling injection system actuators, according to a setpoint torque; adapting, during an operation of the internal combustion engine, the combustion model according to a model value, the model value being calculated from a first Gaussian process model for representing a base grid and a second Gaussian process model for representing adaptation data points; determining, by an optimizer, a minimized measure of quality by changing the injection system setpoint values within a prediction horizon, and, in an event that the minimized measure of quality is found, the injection system setpoint values are set as critical for adjusting an operating point of the internal combustion engine; and monitoring the model value in respect of a monotony which is predefined.

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:
determining, via a combustion model, a plurality of injection system setpoint values for controlling a plurality of injection system actuators, according to a setpoint torque;
adapting, during an operation of the internal combustion engine, the combustion model according to a model value, the model value being calculated from a first Gaussian process model for representing a base grid and a second Gaussian process model for representing a plurality of adaptation data points;
determining, by an optimizer, a minimized measure of quality by changing the plurality of injection system setpoint values within a prediction horizon, and, in an event that the minimized measure of quality is found, the plurality of injection system setpoint values are set for adjusting an operating point of the internal combustion engine; and
monitoring the model value in respect of a monotony which is predefined, wherein if a monotony deviation is detected, the monotony is corrected by smoothing a plurality of data points of the second Gaussian process model to attain the monotony which is specified.

2. The method according to claim 1 , wherein the monotony is an increasing trend with a positive setpoint gradient for the model value.

3. The method according to claim 1 , wherein the monotony is a decreasing trend with a negative setpoint gradient for the model value.

4. The method according to claim 3 , wherein in order to monitor the monotony, the negative setpoint gradient of the model value is evaluated at the operating point.

5. The method according to claim 4 , wherein in addition to the monotony, a linear dependency of a plurality of input values of the combustion model on the model value is monitored.

6. The method according to claim 1 , wherein in an event of a back-adaptation of the first Gaussian process model via the second Gaussian process model, a plurality of monotony characteristics of the first Gaussian process model remain unchanged.

Assignees

• Rolls Royce Solutions Gmbh

Inventors

• Bergmann Daniel
• Graichen Knut
• Harder Karsten
• Niemeyer Jens
• Remele Jörg

Classifications

• F02D41/1406 Primary

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

• F02D41/30

  Controlling fuel injection {(F02D41/182, F02D41/24 take precedence)} · CPC title

• F02D2041/1418

  Several control loops, either as alternatives or simultaneous · CPC title

• F02D2041/1429

  Linearisation, i.e. using a feedback law such that the system evolves as a linear one · CPC title

• F02D2041/1433

  using a model or simulation of the system · CPC title