Method for determining estimated vehicle dynamics parameters

• US 7,487,021 B2
• Filed: 08/13/2007
• Issued: 02/03/2009
• Est. Priority Date: 06/09/2004
• Status: Active Grant

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: General Motors Corporation (Motors Liquidation Co. GUC Trust)
• Inventors: Shin, Kwang-Keun, Chin, Yuen-Kwok
• Primary Examiner(s): Keith; Jack W
• Assistant Examiner(s): Diacou; Ari M
• Application Number:
  US11/838,025
• Publication Number:
  US 20070276564A1
• Time in Patent Office: 540 Days
• Field of Search: 701/41
• US Class Current: 701/41
• CPC Class Codes: B60W 2050/0028 Mathematical models, e.g. for simulation
• CPC Class Codes: B60W 2510/20 Steering systems
• CPC Class Codes: B60W 2520/14 Yaw
• CPC Class Codes: B60W 30/02 Control of vehicle driving stability
• CPC Class Codes: B60W 30/045 Improving turning performance
• CPC Class Codes: B60W 40/12 related to parameters of the vehicle itself , e.g. tyre models
• CPC Class Codes: B62D 6/007 adjustable by the driver, e.g. sport mode

Abstract

A method for determining estimated vehicle dynamics parameters using a vehicle parameter estimator, a vehicle condition detector and a rich steering input detector for estimating vehicle understeer coefficient and front and rear cornering compliances in real time. The vehicle parameter estimator receives a front wheel steering angle signal, a rear wheel steering angle signal, a vehicle lateral acceleration signal, a vehicle yaw rate signal and a vehicle speed signal, and employs a linear parameter estimation algorithm for estimating the understeer coefficient, and the front and rear corning compliance. The vehicle condition detector receives the front wheel steering angle signal, the rear wheel steering angle signal, the vehicle yaw rate signal and the vehicle speed signal, and disables the vehicle parameter estimator if the vehicle is not operating in a linear region. The rich steering input detector determines whether the estimated vehicle parameters are reliable and are ready to be used.

Claims

1. A method for determining estimated vehicle dynamics parameters, said method comprising:

estimating the vehicle parameters using input signals including a front wheel steering angle signal, a rear wheel steering angle signal, a vehicle lateral acceleration signal, a vehicle yaw rate signal and a vehicle speed signal, wherein estimating the vehicle parameters includes using a linear parameter estimation algorithm;

disabling the vehicle dynamics parameter estimation if the vehicle is not operating in a linear region including outputting a disable signal for disabling the vehicle dynamics parameter estimation; and

disregarding the estimated vehicle parameters if a rich steering input condition is not met and the estimated vehicle parameters are not reliable and are not ready to be used including outputting a disregard signal for disregarding the estimated vehicle parameters.

2. The method according to claim 1 wherein estimating the vehicle parameters includes estimating a vehicle understeer coefficient, a front cornering compliance and a rear cornering compliance.

3. The method according to claim 1 wherein estimating the vehicle parameters includes converting the input signals to converted values, executing the linear parameter estimation algorithm based on the converted values to generate estimation values, and calculating the vehicle parameters based on the estimation values.

4. The method according to claim 3 wherein converting the input signals to converted values includes filtering the signals, integrating the signals and generating regression vectors.

5. The method according to claim 1 wherein disabling the estimated vehicle parameters if the vehicle is not operating in a linear region includes disabling the estimated vehicle parameters if the vehicle is not traveling faster than a predetermined speed, the vehicle is accelerating or decelerating faster than a predetermined rate or the vehicle yaw rate is greater than a predetermined yaw rate.

6. The method according to claim 5 wherein determining if the vehicle yaw rate is greater than a predetermined yaw rate includes comparing the vehicle yaw rate to a reference yaw rate.

7. The method according to claim 1 wherein estimating the vehicle parameters includes determining if a steady state turning condition is met.

8. The method according to claim 1 wherein estimating the vehicle parameters includes using an algorithm selected from the group consisting of recursive least squares algorithms and Lyapunov-based algorithms.

9. The method according to claim 1 wherein disregarding the estimated vehicle parameters includes determining a reference model that has pre-defined reference model parameters, providing an estimation of the reference model parameters and comparing the estimation of the reference model parameters to the pre-defined reference model parameters.

10. A method for determining estimated vehicle dynamics parameters, said method comprising:

estimating a vehicle understeer coefficient, a front cornering compliance and a rear cornering compliance using a linear parameter estimation algorithm and input signals including a front wheel steering angle signal, a rear wheel steering angle signal, a vehicle lateral acceleration signal, a vehicle yaw rate signal and a vehicle speed signal;

disabling the vehicle dynamics parameter estimation if the vehicle is not traveling faster than a predetermined speed, the vehicle is accelerating or decelerating faster than a predetermined rate or the vehicle yaw rate is greater than a predetermined yaw rate, wherein disabling the vehicle dynamics parameter estimation includes outputting a disable signal for disabling the vehicle dynamics parameter estimation; and

disregarding the estimated vehicle parameters if a rich steering input condition is not met and the estimated vehicle parameters are not reliable and are not ready to be used, wherein disregarding the estimated vehicle parameters includes determining a reference model that has pre-defined reference model parameters, providing an estimation of the reference model parameters and comparing the estimation of the reference model parameters to the pre-defined reference model parameters, wherein disregarding the estimated vehicle parameters includes outputting a disregard signal for disregarding the estimated vehicle parameters.

11. The method according to claim 10 wherein estimating the vehicle parameters includes converting the input signals to converted values, executing the linear parameter estimation algorithm based on the converted values to generate estimation values, and calculating the vehicle parameters based on the estimation values.

12. The method according to claim 11 wherein converting the input signals to converted values includes filtering the signals, integrating the signals and generating regression vectors.

13. The method according to claim 10 wherein estimating the vehicle parameters includes determining if a steady state turning condition is met.