Method for evaluating the solution to a multicriteria optimization problem

Patent metadata

Field	Value
Publication number	US-9760532-B2
Application number	US-201214364514-A
Country	US
Kind code	B2
Filing date	Nov 8, 2012
Priority date	Dec 12, 2011
Publication date	Sep 12, 2017
Grant date	Sep 12, 2017

Abstract

Solving a multidimensional multicriteria optimization problem is difficult because the correlations and dependencies between solutions, target functions, and variation variables can be detected only with difficulty. In order to facilitate this, it is proposed that a model space ( 1 ) and a variation space ( 2 ) are displayed simultaneously and in an interactively linked fashion.

First claim

The invention claimed is:

1. A method for calibrating a control unit of an internal combustion engine, the method comprising:
optimizing a plurality of target functions that include NO x target function, soot target function and fuel consumption target function and which are a function of variation variables of a multicriteria optimization problem, the multicriteria optimization problem providing a set of possible optimal solutions as a result,
evaluating the possible optimal solutions of the multicriteria optimization problem to select one of the possible optimal solutions as a selected solution for calibration,
wherein, during the evaluating, the set of possible optimal solutions of the multicriteria optimization problem is displayed in a model space as a two- or three-dimensional diagram of the plurality of target functions, and at the same time at least one of the plurality of target functions is displayed in a variation space as a function of at least one variation variable, and
wherein the model space and the variation space are interactively linked by marking, for each selected solution in the model space, the variation variable in the variation space upon which the selected solution is based.

2. The method according to claim 1 , generating a mathematical model from a number of measurements of the variation variables.

3. The method according to claim 1 , wherein a model confidence interval is additionally displayed in the variation space for the at least one target function.

4. The method according to claim 1 , wherein the plurality of target functions includes at least three target functions.

5. A method of calibrating a control unit of an internal combustion engine, the method comprising:
(a) conducting a test run of the internal combustion engine to obtain measurements of a plurality of variation variables;
(b) generating models for a plurality of target functions that include NO x target function, soot target function and fuel consumption target function, according to the measurements of the plurality of variation variables;
(c) determining a multicriteria optimization problem according to the plurality of target functions;
(d) determining a plurality of possible solutions to the multicriteria optimization problem;
(e) displaying, simultaneously, a combined display including a model space and a variation space, the model space including the plurality of possible solutions and the variation space including the plurality of variation variables;
(f) selecting a selected solution according to the combined display; and
(g) calibrating the control unit according to the selected solution.

6. The method of claim 5 , wherein at least one of the model space and the variation space includes crosshairs for selecting a point of interest.

7. The method of claim 5 , wherein the selected solution corresponds to an operating point of the internal combustion engine.

8. The method of claim 7 , comprising repeating steps (a)-(f) to determine a plurality of solutions for a plurality of operating points of the internal combustion engine.

9. The method of claim 8 , wherein the plurality of operating points includes at least 10 operating points.

10. The method of claim 8 , wherein each of the plurality of operating points includes a speed value, a torque value, and a load value.

11. The method of claim 8 , comprising calibrating the control unit according to the plurality of solutions.

12. A method for calibrating a vehicle control unit for an internal combustion engine, the method comprising:
optimizing a plurality of target functions which are a function of variation variables of a multicriteria optimization problem, the variation variables including exhaust gas temperature, EGF, rate, and rail pressure, the multicriteria optimization problem providing a set of possible optimal solutions as a result,
evaluating the possible optimal solutions of the multicriteria optimization problem to select one of the possible optimal solutions as a selected solution for calibration,
wherein, during the evaluating, the set of possible optimal solutions of the multicriteria optimization problem is displayed in a model space as a two- or three-dimensional diagram of the plurality of target functions, and at the same time at least one of the plurality of target functions is displayed in a variation space as a function of at least one variation variable, and
wherein the model space and the variation space are interactively linked by marking, for each selected solution in the model space, the variation variable in the variation space upon which the selected solution is based.

13. The method of claim 5 , comprising determining a model confidence interval for each of the models.

14. The method of claim 13 , comprising displaying the model confidence intervals in the variation space.

15. The method of claim 5 , wherein the variation space automatically changes according to a selection of a point in the model space.

16. The method according to claim 12 , wherein the plurality of target functions includes a NOx target function, a soot target function, and a fuel consumption target function.

17. A method of calibrating a control unit of an internal combustion engine, the method comprising:
(a) conducting a test run of the internal combustion engine to obtain measurements of a plurality of variation variables that include exhaust gas temperature, EGR rate and rail pressure;
(b) generating models for a plurality of target functions according to the measurements of the plurality of variation variables;
(c) determining a multicriteria optimization problem according to the plurality of target functions;
(d) determining a plurality of possible solutions to the multicriteria optimization problem;
(e) displaying, simultaneously, a combined display including a model space and a variation space, the model space including the plurality of possible solutions and the variation space including the plurality of variation variables;
(f) selecting a selected solution according to the combined display; and
(g) calibrating the control unit according to the selected solution.

Assignees

• Avl List Gmbh

Inventors

• Wallner Klemens
• Garcia Alejandra
• Dragoti Adnand

Classifications

• G06T11/26

  Drawing of charts or graphs · CPC title

• F02D41/1406

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

• G05B13/0265

  the criterion being a learning criterion · CPC title

• G05B13/024

  in which a parameter or coefficient is automatically adjusted to optimise the performance · CPC title

• G06F17/11 Primary

  for solving equations {, e.g. nonlinear equations, general mathematical optimization problems (optimization specially adapted for a specific administrative, business or logistic context G06Q10/04)} · CPC title