Intake manifold assembly

• US 20080034852A1
• Filed: 08/14/2006
• Published: 02/14/2008
• Est. Priority Date: 08/14/2006
• Status: Abandoned Application

• Current Assignee: GM Global Technology Operations Incorporated (General Motors Company)
• Original Assignee: GM Global Technology Operations Incorporated (General Motors Company)
• Inventors: Stroh, David J.
• Application Number:
  US11/464,326
• Publication Number:
  US 20080034852A1
• Time in Patent Office: Days
• US Class Current: 73/118.1
• CPC Class Codes: F02B 75/22 with cylinders in V, fan, or star arrangement
• CPC Class Codes: F02D 2041/1433 using a model or simulation of the system
• CPC Class Codes: F02D 2200/1004 Estimation of the output torque
• CPC Class Codes: F02D 41/1497 With detection of the mechanical response of the engine
• CPC Class Codes: F02D 41/2451 characterised by what is learned or calibrated

Abstract

A torque adaptation system is provided. The system includes: a torque error estimator module that estimates a torque error based on an error propagation model and a plurality of torque model parameters; and an adapt torque module that adapts a model torque based on the torque error.

Claims

1. A torque estimation system for controlling an internal combustion engine, comprising:

a torque error estimator module that estimates a torque error based on an error propagation model and a plurality of torque model parameters; and

an adapt torque module that adapts a model torque based on the torque error.

2. The system of claim 1 further comprising a torque model module that computes a model torque based on a mathematical torque model.

3. The system of claim 2 wherein the torque model is at least one of a regression torque model and a physical model.

4. The system of claim 1 wherein the torque error estimator module comprises:

a torque converter torque module that computes a torque converter (TC) torque based on a torque converter model;

a comparison module that computes a difference between the TC torque and the model torque; and

an error module that generates the torque error based on the difference, the error propagation model, and the plurality of torque model parameters.

5. The system of claim 4 wherein the torque converter model is a multi-region Kotwicki model.

6. The system of claim 5 wherein regions of the multi-region Kotwicki model are based on slip.

7. The system of claim 1 wherein the plurality of torque model parameters are at least one of spark, engine speed, and air per cylinder.

8. The system of claim 1 wherein the plurality of torque model parameters are based on at least one of friction, engine load, and accessory load.

9. The system of claim 1 further comprising an enable module that selectively enables the torque error estimator to estimate the torque error wherein the enable module selectively enables the torque error estimation based on slip ratio and steady state conditions.

10. The system of claim 9 wherein the enable module determines slip ratio based on engine speed and turbine speed.

11. The system of claim 9 where the steady state conditions are determined from a derivative of a delta slip.

12. A method for estimating engine torque for use in controlling internal combustion engines, comprising:

computing a model torque based on a torque model;

determining a torque error model based on an error propagation analysis of torque model parameters of the torque model;

applying an adaptation method to the torque error model to determine a torque error; and

computing an estimated torque based on the torque error and the model torque.

13. The method of claim 12 wherein the determining comprises determining the torque error model when enable conditions are met and wherein the enable conditions are based on slip and steady state conditions.

14. The method of claim 13 further comprising computing slip based on engine speed and turbine speed.

15. The method of claim 13 further comprising determining steady state conditions based on a derivative of a delta slip.

16. The method of claim 12 wherein the adaptation method is a weighted recursive least squares method.

17. The method of claim 12 wherein the computing an estimated torque comprises adding the torque error to the model torque.

18. The method of claim 12 wherein the computing a model torque comprises computing a model torque based on a mathematical model of torque.

19. The method of claim 18 wherein the mathematical model is at least one of a regression torque model and a physical model.