Dynamic estimation of vehicle inertial parameters and tire forces from tire sensors

• US 20090177346A1
• Filed: 12/19/2007
• Published: 07/09/2009
• Est. Priority Date: 12/19/2007
• Status: Abandoned Application

• Current Assignee: Delphi Technologies, Inc. (BorgWarner Incorporated)
• Original Assignee: Delphi Technologies, Inc. (BorgWarner Incorporated)
• Inventors: Hac, Aleksander B.
• Application Number:
  US12/004,007
• Publication Number:
  US 20090177346A1
• Time in Patent Office: Days
• US Class Current: 701/29
• CPC Class Codes: B60W 2530/20 Tyre data
• CPC Class Codes: B60W 30/045 Improving turning performance
• CPC Class Codes: B60W 40/13 Load or weight

Abstract

A method of estimating vehicle inertial parameters for use in a vehicle stability control system including the steps of obtaining measurements of tire normal forces, calculating an estimated total vehicle mass, calculating an estimated mass proportioned between axles, and performing a vehicle stability control calculation using an estimated vehicle inertial parameter. In a second aspect of the method, a method of estimating vehicle inertial parameters using measurements of tire lateral forces. In a third aspect, a method of predicting tire forces including the steps of obtaining measurements of tire normal or tire lateral forces, calculating a corresponding set of expected tire forces, blending the measured tire forces and said corresponding set of expected tire forces to produce a set of blended tire forces, calculating a second set of expected tire forces of the other kind, combining the set of blended tire forces and second set of expected tire forces to produce a set of predicted tire lateral forces for each tire of the vehicle, and performing a vehicle control calculation using the set of predicted tire lateral forces.

Claims

1. A method of estimating vehicle inertial parameters for use in a vehicle stability control system, the method comprising the steps of:

obtaining measurements of tire normal forces;

calculating an estimated total vehicle mass;

calculating an estimated mass proportioned between axles, comprising an estimated front mass and an estimated rear mass; and

performing a vehicle stability control calculation using an estimated vehicle inertial parameter selected from a group consisting of said estimated total vehicle mass, said estimated mass proportioned between axles, said estimated front mass, and said estimated rear mass.

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

calculating an estimated vehicle yaw moment of inertia; and

performing a vehicle stability control calculation using said estimated vehicle yaw moment of inertia.

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

obtaining a measurement of lateral acceleration during quasi-steady state cornering;

calculating an estimated height of the vehicle center of mass; and

performing a vehicle stability control calculation using said estimated height of the vehicle center of mass.

4. The method of claim 3, further comprising the steps of:

calculating an estimated vehicle static stability factor, and

performing a vehicle stability control calculation using said estimated vehicle static stability factor.

5. The method of claim 1, further comprising the step of:

calculating a non-gravitational contribution to said measured tire normal forces.

6. The method of claim 5, wherein the step of calculating a non-gravitational contribution comprises the calculation of an aerodynamic force contribution to the measured tire normal forces.

7. The method of claim 1, wherein at least one of the estimated total vehicle mass, estimated mass proportioned between axles estimated front mass, and estimated rear mass is calculated using a recursive averaging algorithm.

8. The method of claim 7, wherein said recursive averaging algorithm is selectively weighted with a weight factor, said weight factor being varied according to a predetermined rule in response to the longitudinal acceleration of the vehicle.

9. A method of estimating vehicle inertial parameters for use in a vehicle stability control system, the method comprising the steps of:

obtaining measurements of tire lateral forces, vehicle lateral acceleration, and vehicle yaw rate;

calculating an estimated mass proportioned between axles, comprising an estimated front mass and an estimated rear mass; and

performing a vehicle stability control calculation using an estimated vehicle inertial parameter selected from a group consisting of said estimated mass proportioned between axles, said estimated front mass, and said estimated rear mass, or a vehicle parameter incorporating an estimated vehicle inertial parameter selected from said group.

10. The method of claim 9, further comprising the steps of:

calculating an estimated vehicle yaw moment of inertia; and

performing a vehicle stability control calculation using said estimated vehicle yaw moment of inertia.

11. The method of claim 9, wherein at least one of the estimated mass proportioned between axles, estimated front mass, and estimated rear mass is calculated using a recursive averaging algorithm.

12. The method of claim 11, wherein said recursive averaging algorithm is selectively weighted with a weight factor, said weight factor being varied according to a predetermined rule in response to the longitudinal acceleration of the vehicle.

13. The method of claim 9, wherein the calculation step is based upon a bicycle model of vehicle dynamics, and wherein the modeled vehicle has only a front axle and a rear axle.

14. A method of predicting tire lateral forces for use in a vehicle chassis control system, the method comprising the steps of:

obtaining measurements of tire forces, the measured forces being selected from one of group consisting of tire normal forces and tire lateral forces;

calculating a first set of expected tire forces, corresponding to the selected one of the aforesaid group, using an estimated vehicle inertial parameter and a measurement of acceleration;

blending said measured tire forces and said first set of expected tire forces to produce a set of blended tire forces;

calculating a second set of expected tire forces, corresponding to the other of the aforesaid group, using an estimated vehicle mass parameter and a measurement of acceleration;

combining said set of blended tire forces and said second set of expected tire forces to produce a set of predicted tire lateral forces for each tire of the vehicle; and

performing a vehicle control calculation using said set of predicted tire lateral forces.

15. The method of claim 14, wherein at least one of said first set of expected tire forces and said second set of expected tire forces is calculated using an estimated height of the vehicle center of mass.

16. The method of claim 14, wherein at least one of said first set of expected tire forces and said second set of expected tire forces is calculated using an estimated vehicle yaw moment of inertia.

17. The method of claim 14, wherein said blended tire forces are calculated using estimated offsets between said measured tire forces and said first set of expected tire forces.

18. The method of claim 14, wherein the calculations of tire lateral forces are based upon a bicycle model of vehicle dynamics, and wherein the modeled vehicle has only a front axle and a rear axle.

19. The method of claim 14, wherein the step of blending said measured tire forces favors measured tire force information immediately after a measurement has been obtained, but changes to favor expected tire force information over time.

20. The method of claim 14, wherein the measured forces are tire normal forces, and further comprising the step of:

performing a vehicle control calculation using said set of blended tire normal forces.