Friction Plausibility Detection Algorithm For a Steering System

• US 20090150018A1
• Filed: 10/22/2008
• Published: 06/11/2009
• Est. Priority Date: 12/10/2007
• Status: Abandoned Application

• Current Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Original Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Inventors: Brown, Andrew, Bouse, William J., Hochrein, Brad G., Recker, Darrel
• Application Number:
  US12/255,853
• Publication Number:
  US 20090150018A1
• Time in Patent Office: Days
• US Class Current: 701/29
• CPC Class Codes: B62D 5/0481 monitoring the steering system, e.g. failures

Abstract

A system and method for detecting and identifying friction in a vehicle having an electric power steering system comprising the steps of measuring predetermined vehicle states, estimating vehicle states using predetermined signals to define idealized vehicle states, calculating a confidence factor to be applied to the idealized vehicle states to determine valid idealized vehicle states, comparing the measured predetermined vehicle states to the valid idealized vehicle states to isolate signal data of interest and define an estimate of friction present in the steering system, applying friction boundaries to the estimate of friction present in the steering system, qualifying the estimate of friction, and setting an internal software flag for the purpose of acknowledging the presence of high friction in the event the estimate of friction exceeds the friction threshold boundaries for a predetermined time.

Claims

1. A method for detecting and identifying friction in an electric power steering system for a vehicle, the method comprising the steps of:

measuring predetermined vehicle states;

calculating idealized vehicle states using predetermined steering system signals and signals external to the steering system in predetermined state equations;

comparing the measured predetermined vehicle states to the idealized vehicle states to isolate signal data of interest and define an estimate of friction that is present in the steering system;

applying friction boundaries to the estimate of friction present in the steering system; and

setting an internal software flag for the purpose of acknowledging the presence of high friction in the event the estimate of friction exceeds the friction boundaries.

2. The method as claimed in claim 1 wherein the step of calculating idealized vehicle states using predetermined steering system signals and signals external to the steering system in predetermined state equations further comprises the step of calculating a confidence factor for the idealized vehicle states for a current vehicle state.

3. The method as claimed in claim 2 wherein the step of calculating a confidence factor further comprises the steps of:

identifying current vehicle states;

comparing identified current vehicle states to threshold values;

establishing a confidence factor; and

applying the confidence factor to the idealized vehicle states thereby defining a value to the validity of the idealized vehicle states.

4. The method as claimed in claim 3 wherein the step of identifying current vehicle states further comprises identifying vehicle states from the group consisting of;

longitudinal acceleration, vehicle speed, steering wheel velocity, and the idealized vehicle state.

5. The method as claimed in claim 4 wherein the step of comparing identified current vehicle states to threshold values further comprises the step of considering vehicle diagnostics including any fault or failure indications that may be present in a control system for the vehicle.

6. The method as claimed in claim 1 wherein the step of comparing the measured predetermined vehicle states to the idealized vehicle states further comprises applying a mathematical operation to the measured and idealized vehicle states to identify substantial differences thereby defining the estimate of friction.

7. The method as claimed in claim 1 wherein the step of applying friction boundaries to the estimate of friction further comprises the step of calculating the friction boundaries based on current vehicle states.

8. The method as claimed in claim 1 wherein the step of applying friction boundaries to the estimate of friction further comprises the step of qualifying the estimate of friction.

9. The method as claimed in claim 8 wherein the step of qualifying the estimate of friction further comprises the steps of:

determining a duration of time that the existence of the estimate of friction has exceeded a friction boundary; and

defining a time threshold value whereby the estimate of friction is deemed valid upon determination that the determined duration of time exceeds the time threshold value.

10. The method as claimed in claim 1 wherein the step of measuring predetermined vehicle states further comprises the step of calculating at least one predetermined vehicle state from a plurality of signals available from the electronic power steering system.

11. A system for detecting friction plausibility in a vehicle having an electric power steering system, the system comprising:

a central communication control network providing signals representative of a plurality of vehicle states;

an electric power steering system providing steering system signals; and

a controller for measuring vehicle states, calculating idealized vehicle states using predetermined steering system signals and signals external to the steering system in predetermined state equations, comparing the measured predetermined vehicle states to the idealized vehicle states to isolate signal data of interest and define an estimate of friction present in the steering system, applying friction boundaries to the estimate of friction present in the steering system, and setting an internal software flag for the purpose of acknowledging the presence of high friction in the event the estimate of friction exceeds friction threshold boundaries for a predetermined time threshold.

12. The system as claimed in claim 11 wherein the steering system signals are used in calculations by the controller for measuring vehicle states.

13. The system as claimed in claim 11 wherein signals external to the steering system and steering system signals are used in calculations by the controller for calculating idealized vehicle states.

16. The system as claimed in claim 11 wherein the controller compares the measured predetermined vehicle states to the idealized vehicle states by applying a mathematical operation to the measured and idealized states to identify differences thereby defining the estimate of friction.

17. The system as claimed in claim 11 wherein the controller qualifies the estimate of friction by determining a duration of time the estimate of friction exceeds a friction boundary and defining a time threshold value for the duration of time the estimate of friction exceeds the friction boundary, whereby the estimate of friction is deemed valid upon determination of the duration of time the estimate of friction exceeds the friction boundary exceeds the time threshold value.

14. The system as claimed in 13 wherein the controller calculates a confidence factor for the idealized vehicle state for a current vehicle state.

15. The system as claimed in claim 14 wherein the confidence factor calculation further comprises:

identifying current vehicle states;

comparing identified current vehicle states to predetermined threshold values;

establishing a confidence factor; and

applying the confidence factor to the idealized vehicle state thereby defining a value to the validity of the idealized vehicle state.

18. A method for detecting and identifying friction in a vehicle having an electric power steering system, the method comprising the steps of:

measuring predetermined vehicle states;

calculating idealized vehicle states using steering system signals and signals external to the steering system in predetermined state equations;

calculating a confidence factor to be applied to the idealized vehicle states to determine valid idealized vehicle states;

comparing the measured predetermined vehicle states to the valid idealized vehicle states to isolate signal data of interest and define an estimate of friction present in the steering system;

applying friction boundaries to the estimate of friction present in the steering system;

qualifying the estimate of friction; and

setting an internal software flag for the purpose of acknowledging the presence of high friction in the event the estimate of friction exceeds the friction boundaries for a predetermined amount of time.

19. The method as claimed in claim 18 wherein the step of calculating a confidence factor further comprises the steps of:

identifying current vehicle states;

comparing identified current vehicle states to threshold values;

establishing a confidence factor; and

applying the confidence factor to the idealized vehicle states thereby defining valid idealized vehicle states.

20. The method as claimed in claim 19 wherein the step of qualifying the estimate of friction further comprises the steps of:

determining a duration of time the estimate of friction exceeds applied friction boundaries; and

defining a time threshold value, whereby the estimate of friction is deemed valid upon determination of the duration of time the estimate of friction exceeds the applied friction boundaries is greater than time threshold value.