DIAGNOSTIC METHOD FOR USE WITH A VEHICLE DYNAMIC CONTROL SYSTEM (VDCS)

• US 20120053853A1
• Filed: 08/25/2010
• Published: 03/01/2012
• Est. Priority Date: 08/25/2010
• Status: Active Grant

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: GM Global Technology Operations Incorporated (Motors Liquidation Co. GUC Trust)
• Inventors: Tan, Hualin
• Granted Patent: US 8,521,468 B2
• Time in Patent Office: Days
• US Class Current: 702/35
• CPC Class Codes: B60W 2520/125 Lateral acceleration
• CPC Class Codes: B60W 2520/14 Yaw
• CPC Class Codes: B60W 2520/28 Wheel speed
• CPC Class Codes: B60W 40/105 Speed
• CPC Class Codes: B60W 40/109 Lateral acceleration
• CPC Class Codes: B60W 40/114 Yaw movement
• CPC Class Codes: B60W 50/023 Avoiding failures by using redundant parts
• CPC Class Codes: B60W 50/04 Monitoring the functioning of the control system

Abstract

A diagnostic method for improving the reliability, accuracy, efficiency and/or robustness of a vehicle dynamic control system (VDCS) by providing analytical redundancy for one or more sensor readings. Sensor readings such as wheel speed, yaw rate, lateral acceleration, longitudinal acceleration and steering angle are oftentimes related to one another. Thus, the diagnostic method may use these dynamic relationships to detect faults in the sensor readings without having to add additional redundant hardware or use complex circular logic structures, which can increase the cost and impose processing burdens on the VDCS. In an exemplary embodiment, the diagnostic method checks for faulty sensor readings through a process of analytical redundancy that includes intra- and inter-parameter evaluations having linear and forward dependencies.

Claims

1. A method for validating sensor readings in a vehicle dynamic control system (VDCS), comprising the steps of:

(a) receiving a first sensor reading from a first vehicle sensor;

(b) validating the first sensor reading with an intra-parameter evaluation that utilizes the first sensor reading;

(c) receiving a second sensor reading from a second vehicle sensor;

(d) validating the second sensor reading with an inter-parameter evaluation that utilizes the first and second sensor readings, wherein the first sensor reading is already validated;

(e) receiving a third sensor reading from a third vehicle sensor; and

(f) validating the third sensor reading with an inter-parameter evaluation that utilizes the second and third sensor readings, wherein the second sensor reading is already validated.

2. The method of claim 1, wherein step (a) further comprises receiving a plurality of wheel speed readings from a plurality of wheel speed sensors, and step (b) further comprises validating each of the wheel speed readings with an intra-parameter evaluation that does not utilize any dynamic parameters other than wheel speed.

3. The method of claim 2, wherein the intra-parameter evaluation includes a static wheel speed check that:

i) determines if a target wheel speed reading is relatively constant, ii) determines wheel speed differences between the target wheel speed reading and the other wheel speed readings, and iii) compares the wheel speed differences to a wheel speed difference threshold.

4. The method of claim 2, wherein the intra-parameter evaluation includes a dynamic wheel speed check that:

i) determines a wheel speed difference between a target wheel speed reading and an average of the other wheel speed readings, ii) compares the wheel speed difference to a first wheel speed difference threshold, iii) determines wheel speed differences between the other wheel speed readings, and iv) compares the wheel speed differences to a second wheel speed difference threshold.

5. The method of claim 1, wherein step (c) further comprises receiving a yaw rate reading from a yaw rate sensor, and step (d) further comprises validating the yaw rate reading with an inter-parameter evaluation that involves the yaw rate reading and wheel speed readings that were already validated.

6. The method of claim 5, wherein the inter-parameter evaluation includes using the already validated wheel speed readings to generate first and second yaw rate estimates, comparing the yaw rate reading to the first and second yaw rate estimates, and validating the yaw rate reading based on the results of the comparison.

7. The method of claim 1, wherein step (e) further comprises receiving a lateral acceleration reading from a lateral acceleration sensor, and step (f) further comprises validating the lateral acceleration reading with an inter-parameter evaluation that involves the lateral acceleration reading and a yaw rate reading that was already validated.

8. The method of claim 7, wherein the inter-parameter evaluation includes using the already validated yaw rate reading to generate a lateral acceleration estimate, comparing the lateral acceleration reading to the lateral acceleration estimate, and validating the lateral acceleration reading based on the results of the comparison.

9. The method of claim 1, wherein step (e) further comprises receiving a steering angle reading from a steering wheel sensor, and step (f) further comprises validating the steering angle reading with an inter-parameter evaluation that involves the steering angle reading and a yaw rate reading that was already validated.

10. The method of claim 9, wherein the inter-parameter evaluation includes using the already validated yaw rate reading to generate a first steering angle estimate, using an already validated lateral acceleration reading to generate a second steering angle estimate, comparing the steering angle reading to the first and second steering angle estimates, and validating the steering angle reading based on the results of the comparison.

11. The method of claim 1, further comprising the steps of:

receiving a longitudinal acceleration reading from a longitudinal acceleration sensor; and

validating the longitudinal acceleration reading with an inter-parameter evaluation that involves the longitudinal acceleration reading and a wheel speed readings that were already validated.

12. The method of claim 11, wherein the inter-parameter evaluation includes using the already validated wheel speed readings to generate a longitudinal acceleration estimate, comparing the longitudinal acceleration reading to the longitudinal acceleration estimate, and validating the longitudinal acceleration reading based on the results of the comparison.

13. The method of claim 1, wherein the method uses range and/or rate checks in addition to the intra- and inter-parameter evaluations to detect faults in one or more sensor readings.

14. The method of claim 1, wherein the method uses analytical redundancy to detect faults in one or more sensor readings without the use of additional redundant hardware or circular logic structures.

15. The method of claim 14, wherein the method operates in a generally linear and forward direction so that:

i) a sensor reading has to be validated before it is used to validate another sensor reading, and ii) once a sensor reading is validated, it is not validated again.

16. A method for validating sensor readings in a vehicle dynamic control system (VDCS), comprising the steps of:

(a) receiving a plurality of wheel speed readings from a plurality of wheel speed sensors;

(b) verifying the accuracy of each of the wheel speed readings by comparing the wheel speed readings to each other;

(c) receiving a yaw rate reading from a yaw rate sensor;

(d) determining a yaw rate estimate based on the already verified wheel speed readings, and verifying the accuracy of the yaw rate reading if the yaw rate reading corresponds with the yaw rate estimate;

(e) receiving an addition reading from an additional vehicle sensor; and

(f) determining an estimate for the additional reading based on the already verified yaw rate reading, and verifying the accuracy of the additional reading if the additional reading corresponds with the additional reading estimate.

17. The method of claim 16, wherein the additional reading is a lateral acceleration reading and the additional vehicle sensor is a lateral acceleration sensor.

18. The method of claim 16, wherein the additional reading is a steering angle reading and the additional vehicle sensor is a steering angle sensor.

19. The method of claim 16, wherein the method uses range and/or rate checks in addition to intra- and inter-parameter evaluations to detect faults in one or more sensor readings.

20. The method of claim 16, wherein the method uses analytical redundancy to detect faults in one or more sensor readings without the use of additional redundant hardware or circular logic structures.

21. The method of claim 20, wherein the method operates in a generally linear and forward direction so that:

i) a sensor reading has to be verified before it is used to verify another sensor reading, and ii) once a sensor reading is verified, it is not verified again.