Calibration of model-based fuel control for engine start and crank to run transition

• US 20060243255A1
• Filed: 03/31/2006
• Published: 11/02/2006
• Est. Priority Date: 04/29/2005
• Status: Active Grant

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: GM Global Technology Operations Incorporated (General Motors Company)
• Inventors: Dudek, Kenneth P., Yurkovich, Stephen, Ma, Qi, Miller, Jon C., Fulcher, Stephen K.
• Granted Patent: US 7,302,937 B2
• Time in Patent Office: Days
• US Class Current: 123/491
• CPC Class Codes: F02D 2041/1412 using a predictive controller
• CPC Class Codes: F02D 2041/1433 using a model or simulation of the system
• CPC Class Codes: F02D 2041/1434 Inverse model
• CPC Class Codes: F02D 2200/0402 the parameter being determined by using a model of the engine intake or its components
• CPC Class Codes: F02D 2200/1015 Engines misfires
• CPC Class Codes: F02D 41/062 for starting F02D41/061 takes precedence
• CPC Class Codes: F02D 41/182 for the control of a fuel injection device
• CPC Class Codes: F02D 41/2432 Methods of calibration
• CPC Class Codes: F02D 41/2441 characterised by the learning conditions
• CPC Class Codes: F02D 41/2451 characterised by what is learned or calibrated

Abstract

A fuel control system for regulating fuel to cylinders of an internal combustion engine during an engine start and crank-to-run transition includes a first module that determines a plurality of step-ahead cylinder air masses (GPOs) for a cylinder based on a plurality of GPO prediction models. A second module regulates fueling to a cylinder of the engine based on the plurality of step-ahead GPOs until a combustion event of the cylinder. Each of the plurality of GPO prediction models is calibrated based on data from a plurality of test starts that are based on a pre-defined test schedule.

Claims

1. A fuel control system for regulating fuel to cylinders of an internal combustion engine during an engine start and crank-to-run transition, comprising:

a first module that determines a plurality of step-ahead cylinder air masses (GPOs) for a cylinder based on a plurality of GPO prediction models; and

a second module that regulates fueling to a cylinder of said engine based on said plurality of step-ahead GPOs until a combustion event of said cylinder;

wherein each of said plurality of GPO prediction models is calibrated based on data from a plurality of test starts that are based on a pre-defined test schedule.

2. The fuel control system of claim 1 wherein said plurality of GPO prediction models include a crank GPO prediction model that is calibrated using GPO measurements during said plurality of test starts prior to a first combustion event.

3. The fuel control system of claim 2 wherein said crank GPO prediction model is calibrated based on a least squares curve fit of said GPO measurements.

4. The fuel control system of claim 1 wherein a crank period during one of said plurality of test starts is extended to enable collection of additional GPO data.

5. The fuel control system of claim 4 wherein said crank period is extended by disabling spark and fuel injection.

6. The fuel control system of claim 1 wherein said plurality of GPO prediction models includes a crank-to-run GPO prediction model that is calibrated using GPO measurements during said plurality of test starts after an initial spark event.

7. The fuel control system of claim 6 wherein said crank-to-run prediction model is calibrated based on a least squares curve fit of said GPO measurements and a filter.

8. The fuel control system of claim 1 wherein said plurality of GPO prediction models includes a misfire GPO prediction model that is calibrated using GPO measurements during said plurality of test starts after an initial spark event and under simulated misfire conditions.

9. The fuel control system of claim 1 wherein said plurality of GPO prediction models includes a poor-start GPO prediction model that is calibrated using GPO measurements during said plurality of test starts after an initial spark event and under simulated poor-start conditions.

10. The fuel control system of claim 1 wherein said plurality of test starts include intentional misfire engine starts.

11. The fuel control system of claim 1 wherein said plurality of test starts include intentional poor engine starts.

12. The fuel control system of claim 1 wherein spark retard is implemented during said plurality of test starts to simulate misfire and poor starts.

13. A method of calibrating a plurality of step-ahead cylinder air mass (GPO) prediction models that are used to regulate fuel to cylinders of an internal combustion engine during an engine start and crank-to-run transition, comprising:

executing a plurality of test starts of said engine;

collecting GPO measurement data during each of said test starts; and

calibrating said plurality of GPO prediction models based on said GPO measurement data;

wherein said test starts include a crank period, and simulated misfire and poor-start scenarios.

14. The method of claim 13 wherein said plurality of GPO prediction models include a crank GPO prediction model that is calibrated using GPO measurements during said plurality of test starts prior to a first combustion event.

15. The method of claim 14 wherein said crank GPO prediction model is calibrated based on a least squares curve fit of said GPO measurements.

16. The method of claim 13 further comprising extending a crank period during one of said plurality of test starts to enable collection of additional GPO data.

17. The method of claim 16 wherein said extending of said crank period includes disabling spark and fuel injection.

18. The method of claim 13 wherein said plurality of GPO prediction models includes a crank-to-run GPO prediction model that is calibrated using GPO measurements during said plurality of test starts after an initial spark event.

19. The method of claim 18 wherein said crank-to-run prediction model is calibrated based on a least squares curve fit of said GPO measurements and a filter.

20. The method of claim 13 further comprising:

simulating said misfire scenario during said plurality of test starts after an initial spark event;

measuring GPO values during said misfire scenario; and

calibrating a misfire GPO prediction model of said plurality of GPO prediction models based on said GPO values.

21. The method of claim 13 further comprising:

simulating said poor-start scenario during said plurality of test starts after an initial spark event;

measuring GPO values during said poor-start scenario; and

calibrating a poor-start GPO prediction model of said plurality of GPO prediction models based on said GPO values.

22. The method of claim 13 further comprising retarding spark during said plurality of test starts to simulate said misfire and poor-start scenarios.