DETECTING PROGRAM FLOW FAULT IN TORQUE SECURITY SOFTWARE FOR HYBRID VEHICLE ELECTRIC DRIVE SYSTEM

• US 20090118881A1
• Filed: 09/29/2008
• Published: 05/07/2009
• Est. Priority Date: 11/07/2007
• Status: Active Grant

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: GM Global Technology Operations Incorporated (General Motors Company)
• Inventors: West, Stephen T., Wang, Wei D., Buur, Hanne
• Granted Patent: US 8,386,101 B2
• Time in Patent Office: Days
• US Class Current: 701/22
• CPC Class Codes: B60L 2240/421 Speed
• CPC Class Codes: B60L 2240/423 Torque
• CPC Class Codes: B60L 2240/441 Speed
• CPC Class Codes: B60W 10/08 including control of electric propulsion units, e.g. motors or generators
• CPC Class Codes: B60W 20/11 using model predictive control [MPC] strategies, i.e. control methods based on models predicting performance utilising navigation and traffic information in the control strategy B60W20/12
• CPC Class Codes: B60W 2510/0638 Engine speed
• CPC Class Codes: B60W 2510/081 Speed
• CPC Class Codes: B60W 2510/083 Torque
• CPC Class Codes: B60W 2556/10 Historical data
• CPC Class Codes: B60W 2710/083 Torque
• CPC Class Codes: Y02T 10/64 Electric machine technologies in electromobility

Abstract

A diagnostic system for a hybrid vehicle comprises a processor module and a motor control module. The processor module outputs a seed value. The motor control module controls torque output by an electric motor of the hybrid vehicle, receives the seed value, generates a final key value based on the seed value, and outputs the final key value to the processor module.

Claims

1. A diagnostic system for a hybrid vehicle, comprising:

a processor module that outputs a seed value; and

a motor control module that controls torque output by an electric motor of said hybrid vehicle, that receives said seed value, that generates a final key value based on said seed value, and that outputs said final key value to said processor module.

2. The diagnostic system of claim 1 wherein said processor module selectively diagnoses a fault in said motor control module.

3. The diagnostic system of claim 2 wherein said processor module selectively diagnoses said fault based on said final key value.

4. The diagnostic system of claim 3 wherein said processor module selectively diagnoses said fault based on a comparison of said final key value with an expected value.

5. The diagnostic system of claim 4 wherein said processor module diagnoses said fault when said final key value is one of greater than and less than said expected value.

6. The diagnostic system of claim 2 wherein said motor control module performs a number of computations, determines said final key value based on said computations, and outputs said number of computations performed to said processor module.

7. The diagnostic system of claim 6 wherein said processor module selectively diagnoses said fault based on said number of computations performed.

8. The diagnostic system of claim 7 wherein said processor module diagnoses said fault when said number of computations performed is one of greater than and less than a predetermined number of computations.

9. The diagnostic system of claim 6 wherein each of said number of computations comprises determining a partial key value based on at least one of a lookup table and a logical computation.

10. The diagnostic system of claim 6 wherein a first computation of said number of computations is based on said seed value.

11. A method for a hybrid vehicle, comprising:

transmitting a seed value from a first module to a second module that controls torque output by an electric motor of said hybrid vehicle;

generating a final key value based on said seed value using said second module; and

transmitting said final key value from said second module to said first module.

12. The method of claim 11 further comprising selectively diagnosing a fault in said second module.

13. The method of claim 12 wherein said selectively diagnosing said fault comprises selectively diagnosing said fault based on said final key value.

14. The method of claim 13 wherein said selectively diagnosing said fault comprises selectively diagnosing said fault based on a comparison of said final key value with an expected value.

15. The method of claim 14 wherein said selectively diagnoses said fault comprises diagnosing said fault when said final key value is one of greater than and less than said expected value.

16. The method of claim 12 further comprising:

performing a number of computations using said second module; and

outputting said number of computations performed to said first module,

wherein said determining said final key value comprises determining said final key value based on said number of computations.

17. The method of claim 16 wherein said selectively diagnosing said fault comprises selectively diagnosing said fault based on said number of computations performed.

18. The method of claim 17 wherein said selectively diagnosing said fault comprises diagnosing said fault when said number of computations performed is one of greater than and less than a predetermined number of computations.

19. The method of claim 16 wherein each of said number of computations comprises determining a partial key value based on at least one of a lookup table and a logical computation.

20. The method of claim 16 wherein a first computation of said number of computations is performed based on said seed value.