State of health monitoring and fault diagnosis for integrated vehicle stability system

• US 7,133,755 B2
• Filed: 07/26/2004
• Issued: 11/07/2006
• Est. Priority Date: 07/26/2004
• Status: Active Grant

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: General Motors Corporation (Motors Liquidation Co. GUC Trust)
• Inventors: Howell, Mark N., Salman, Mutasim A.
• Primary Examiner(s): BEAULIEU, YONEL
• Application Number:
  US10/899,445
• Publication Number:
  US 20060020379A1
• Time in Patent Office: 834 Days
• Field of Search: 701/29, 701/33, 701/34, 340/425.5, 340/438, 700/258, 702/104, 702/108, 702/116
• US Class Current: 701/29
• CPC Class Codes: B60T 2270/406 Test-mode; Self-diagnosis
• CPC Class Codes: B60T 2270/413 Plausibility monitoring, cross check, redundancy
• CPC Class Codes: B60T 8/885 using electrical circuitry

Abstract

A system and method for providing state of health monitoring and fault diagnostics for a vehicle stability system. The system includes at least one primary sensor and at least one secondary sensor for sensing the operation of at least one vehicle characteristic. The system calculates an estimated output of the primary sensor using at least one estimate model, and generates at least one residual as the difference between a measured output of the primary sensor and the estimated output of the estimate model. The system uses a residual pattern to determine if the primary sensor is faulty. The system compares the measured output of the primary sensor to a measured output of the secondary sensor if the residual is less than a threshold, and determines that the secondary sensor is faulty if the comparison between the measured outputs of the primary and secondary sensors is greater than a predetermined threshold.

Claims

1. A method for determining a state of health of an integrated vehicle stability system, said method comprising:

providing at least one primary sensor and at least one secondary sensor for sensing the operation of at least one vehicle characteristic;

calculating an estimated output of the at least one primary sensor using at least one estimate model;

generating at least one residual as the difference between a measured output of the primary sensor and the estimated output of the at least one estimate model; and

using the residual to determine if the primary sensor is faulty.

2. The method according to claim 1 wherein using the residual to determine if the primary sensor is faulty includes comparing the residual to a predetermined threshold, wherein the primary sensor is not faulty if the residual is less than the threshold and the primary sensor may be faulty if the residual is above the threshold.

3. The method according to claim 2 further comprising comparing the measured output of the at least one primary sensor to a measured output of the at least one secondary sensor if the residual is less than the threshold, and determining that the secondary sensor is faulty if the comparison between the measured outputs of the primary and secondary sensors is greater than a predetermined threshold.

4. The method according to claim 1 wherein calculating an estimated output of the at least one primary sensor using at least one estimate model includes calculating a plurality of estimated outputs of the at least one primary sensor using a plurality of different estimate models, and wherein generating at least one residual as the difference between a measured output of the primary sensor and the estimated output of the at least one estimate model includes generating a plurality of residuals as the difference between the measured output of the primary sensor and the estimated outputs of the plurality of estimate models.

5. The method according to claim 4 wherein using the residual to determine if the primary sensor is faulty includes comparing a pattern of the plurality of residuals to a predetermined matrix of values, and determining that the sensor is faulty if the pattern of residuals is close to or matches the matrix of values.

6. The method according to claim 4 wherein calculating a plurality of estimated outputs of the at least one primary sensor using a plurality of different estimate models includes calculating three estimated outputs of the at least one primary sensor using three different estimate models.

7. The method according to claim 1 wherein providing at least one primary sensor and at least one secondary sensor includes providing a primary yaw rate sensor and a secondary yaw rate sensor for sensing a yaw rate of the vehicle.

8. The method according to claim 1 wherein providing at least one primary sensor and at least one secondary sensor includes providing a primary lateral acceleration sensor and a secondary lateral acceleration sensor for sensing the lateral acceleration of the vehicle.

9. The method according to claim 1 further comprising determining a road wheel angle of the vehicle, calculating a plurality of estimated outputs of the road wheel angle using a plurality of different road wheel angle estimate models, generating a plurality of road wheel angle residuals as the difference between the road wheel angle and the plurality of estimated outputs from the plurality of road wheel angle estimate models, comparing the road wheel angle residuals to a predetermined threshold and giving the road wheel angle residual a first value if the residual is below the threshold and giving the road wheel angle residual a second value if the residual is above the threshold, and determining that the road wheel angle is not faulty if all of the road wheel angle residuals have the first value.

10. The method according to claim 1 wherein the integrated vehicle stability system includes an active braking control sub-system, an active front-wheel steering assist sub-system and a semi-active suspension sub-system.

11. A method for determining a state of health of an integrated vehicle stability system, said method comprising:

providing a primary yaw rate sensor and a secondary yaw rate sensor for sensing the yaw rate of the vehicle;

providing a primary lateral acceleration sensor and a secondary lateral acceleration sensor for sensing the lateral acceleration of the vehicle;

calculating a plurality of estimated outputs of the primary yaw rate sensor using a plurality of different yaw rate estimate models;

calculating a plurality of estimated outputs of the primary lateral acceleration sensor using a plurality of different lateral acceleration estimate models;

generating a plurality of yaw rate residuals as the difference between a measured output of the primary yaw rate sensor and the plurality of estimated outputs from the plurality of yaw rate estimate models;

generating a plurality of lateral acceleration residuals as the difference between a measured output of the primary lateral acceleration sensor and the plurality of estimated outputs from the plurality of lateral acceleration estimate models;

comparing the yaw rate and the lateral acceleration residuals to a predetermined threshold and giving the residual a first value if the residual is below the threshold and giving the residual a second value if the residual is above the threshold;

determining that the primary yaw rate sensor is not faulty if all of the yaw rate residuals have the first value;

determining that the primary lateral acceleration sensor is not faulty if all of the lateral acceleration residuals have the first value;

comparing the plurality of yaw rate residuals to a predetermined yaw rate residual matrix if one of the yaw rate residuals is the second value;

comparing the plurality of lateral acceleration residuals to a predetermined lateral acceleration residual matrix if one of the lateral acceleration residuals is the second value;

determining that the primary yaw rate sensor is faulty if the plurality of yaw rate residuals is close to or matches the yaw rate residual matrix;

determining that the primary lateral acceleration sensor is faulty if the plurality of lateral acceleration residuals is close to or matches the lateral acceleration residual matrix;

comparing the measured output of the primary yaw rate sensor to a measured output of the secondary yaw rate sensor if all of the yaw rate residuals are the first value;

comparing the measured output of the primary lateral acceleration sensor to a measured output of the secondary lateral acceleration sensor if all of the lateral acceleration residuals are the first value;

determining that the secondary yaw rate sensor is faulty if the difference between the measured outputs of the primary yaw rate sensor and the secondary yaw rate sensor is above a predetermined threshold; and

determining that the secondary lateral acceleration sensor is faulty if the difference between the measured outputs of the primary lateral acceleration sensor and the secondary lateral acceleration sensor is above a predetermined threshold.

12. The method according to claim 11 further comprising determining a road wheel angle of the vehicle, calculating a plurality of estimated outputs of the road wheel angle using a plurality of different road wheel angle estimate models, generating a plurality of road wheel angle residuals as the difference between the road wheel angle and the plurality of estimated outputs from the plurality of road wheel angle estimate models, comparing the road wheel angle residuals to a predetermined threshold and giving the road wheel angle residual a first value if the residual is below the threshold and giving the road wheel angle residual a second value if the residual is above the threshold, and determining that the road wheel angle is not faulty if all of the road wheel angle residuals have the first value.

13. The method according to claim 11 wherein the integrated vehicle stability system includes an active braking control sub-system, an active front-wheel steering assist sub-system and a semi-active suspension sub-system.

14. A system for determining a state of health of an integrated vehicle stability system, said system comprising:

at least one primary sensor and at least one secondary sensor for sensing the operation of at least one vehicle characteristic;

means for calculating an estimated output of the at least one primary sensor using at least one estimate model;

means for generating at least one residual as the difference between a measured output of the primary sensor and the estimated output of the at least one estimate model; and

means for using the residual to determine if the primary sensor is faulty.

15. The system according to claim 14 wherein the means for using the residual to determine if the primary sensor is faulty includes means for comparing the residual to a predetermined threshold, wherein the primary sensor is not faulty if the residual is less than the threshold and the primary sensor may be faulty if the residual is above the threshold.

16. The system according to claim 15 further comprising means for comparing the measured output of the at least one primary sensor to a measured output of the at least one secondary sensor if the residual is less than the threshold, and means for determining that the secondary sensor is faulty if the comparison between the measured outputs of the primary and secondary sensors is greater than a predetermined threshold.

17. The system according to claim 14 wherein the means for calculating an estimated output of the at least one primary sensor using at least one estimate model includes means for calculating a plurality of estimated outputs of the at least one primary sensor using a plurality different estimate models, and wherein the means for generating at least one residual as the difference between a measured output of the primary sensor and the estimated output of the at least one estimate model includes means for generating a plurality of residuals as the difference between the measured output of the primary sensor and the estimated outputs of the plurality of estimate models.

18. The system according to claim 17 wherein the means for using the residual to determine if the primary sensor is faulty includes means for comparing a pattern of the plurality of residuals to a predetermined matrix of values, and means for determining that the primary sensor is faulty if the pattern of residuals is close to or matches the matrix of values.

19. The system according to claim 17 wherein the means for calculating a plurality of estimated outputs of the at least one primary sensor using a plurality different estimate models includes means for calculating three estimated outputs of the at least one primary sensor using three different estimate models.

20. The system according to claim 14 wherein the at least one primary sensor and at least one secondary sensor include a primary yaw rate sensor and a secondary yaw rate sensor for sensing a yaw rate of the vehicle.

21. The system according to claim 14 wherein the at least one primary sensor and the at least one secondary sensor include a primary lateral acceleration sensor and a secondary lateral acceleration sensor for sensing the lateral acceleration of the vehicle.

22. The system according to claim 14 further comprising means for determining a road wheel angle of the vehicle, means for calculating a plurality of estimated outputs of the road wheel angle using a plurality of different road wheel angle estimate models, means for generating a plurality of road wheel angle residuals as the difference between the measured road wheel angle and the plurality of estimated outputs from the plurality of road wheel angle estimate models, means for comparing the road wheel angle residuals to a predetermined threshold and giving the road wheel angle residual a first value if the residual is below the threshold and giving the road wheel angle residual a second value if the residual is above the threshold, and means for determining that the road wheel angle is not faulty if all of the road wheel angle residuals have the first value.

23. The system according to claim 14 wherein the integrated vehicle stability system includes an active braking control sub-system, an active front-wheel steering assist sub-system and a semi-active suspension sub-system.