Online estimation of vehicle side-slip under linear operating region

• US 20070027586A1
• Filed: 07/28/2005
• Published: 02/01/2007
• Est. Priority Date: 07/28/2005
• Status: Active Grant

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: GM Global Technology Operations LLC (General Motors Company)
• Inventors: Zhang, Haicen, Deng, Weiwen
• Granted Patent: US 7,774,103 B2
• Time in Patent Office: Days
• US Class Current: 701/1
• CPC Class Codes: B60T 2230/02 Side slip angle, attitude angle, floating angle, drift angle
• CPC Class Codes: B60T 2270/86 Optimizing braking by using ESP vehicle or tire model
• CPC Class Codes: B60T 8/172 Determining control parameters used in the regulation, e.g. by calculations involving measured or detected parameters B60T8/17551 takes precedence

Abstract

A system for estimating vehicle side-slip in the linear vehicle operating region that includes updating front and rear cornering stiffness signals. The system includes a first state observer processor that employs a bicycle model with state feedback for generating yaw acceleration and lateral acceleration signals. The system further includes a subtractor that receives the yaw acceleration and lateral acceleration signals and measured yaw rate and lateral acceleration signals, and generates yaw acceleration and lateral acceleration error signals. A parameter estimation processor calculates an updated front cornering stiffness and rear cornering stiffness signals. The updated front and rear cornering stiffness signals are sent back to the first state observer processor, and are used by second state observer processor for generating the estimated vehicle side-slip.

Claims

1. A system for estimating vehicle side-slip of a vehicle, said system comprising:

a vehicle speed sensor for providing a vehicle speed signal of the speed of the vehicle;

a vehicle yaw rate sensor for providing a yaw rate signal of the yaw rate of the vehicle;

a vehicle lateral acceleration sensor for providing a vehicle lateral acceleration of the vehicle;

a hand-wheel angle sensor for providing a hand-wheel angle signal;

a first state observer processor responsive to the vehicle speed signal and the hand-wheel angle signal, said first state observer processor generating yaw acceleration and lateral acceleration signals;

a subtractor responsive to the yaw acceleration and lateral acceleration signals, said subtractor generating yaw acceleration and lateral acceleration error signals;

a parameter estimation processor responsive to the yaw acceleration and lateral acceleration error signals, said parameter estimation processor generating an updated front cornering stiffness signal and rear cornering stiffness signal, said first state observer processor being responsive to the updated front and rear cornering stiffness signals; and

a second state observer processor responsive to the updated front cornering stiffness signal and the rear cornering stiffness signal, said second state observer processor calculating an estimated vehicle side-slip signal.

2. The system according to claim 1 wherein the first state observer processor and the second state observer processor use a bicycle model and state feedback to generate the yaw acceleration and lateral acceleration signals and the estimated vehicle side-slip signal.

3. The system according to claim 1 wherein the first state observer processor is further responsive to a vehicle steering angle compliance signal for generating the yaw acceleration and lateral acceleration signals.

4. The system according to claim 1 wherein the parameter estimation processor uses a recursive least squares estimation process for determining the updated front cornering stiffness signal and the rear cornering stiffness signal.

5. The system according to claim 1 further comprising a logic and data sanity check processor responsive to the yaw rate signal, the lateral acceleration signal, the vehicle speed signal, the updated front and rear cornering stiffness signals, and the yaw acceleration and lateral acceleration error signals, said logic and data sanity check processor determining whether the updated front cornering stiffness signal and the rear cornering stiffness signal meet predetermined criteria before they are sent to the second state observer processor.

6. The system according to claim 5 wherein the logic and data sanity check processor determines whether the updated front cornering stiffness signal and the rear cornering stiffness signal are converging, if the error signals are in a steady state region, if the system is operating under predefined regions for parameter estimation and if the error signals are minimized.

7. The system according to claim 1 wherein the first state observer processor and the parameter estimation processor are on a relatively slow loop and the second state observer processor is on a relatively fast loop.

8. A system for estimating vehicle side-slip of a vehicle, said system comprising:

a first state observer processor responsive to vehicle state signals, said first state observer processor using the state signals for generating yaw acceleration and lateral acceleration signals;

a subtractor responsive to the yaw acceleration and lateral acceleration signals and the vehicle state signals, said subtractor generating yaw acceleration and lateral acceleration error signals; and

a parameter estimation processor responsive to the yaw acceleration and lateral acceleration error signals, said parameter estimation processor generating updated front cornering stiffness and rear cornering stiffness signals.

9. The system according to claim 8 wherein the state signals include one or more of a vehicle speed signal of the speed of the vehicle, a yaw rate signal of the yaw rate of the vehicle, a vehicle lateral acceleration of the vehicle, and a hand-wheel angle signal.

10. The system according to claim 8 further comprising a second state observer processor responsive to the updated front cornering stiffness signal and the rear cornering stiffness signal, said second state observer processor calculating the estimated vehicle side-slip signal.

11. The system according to claim 8 wherein the first state observer processor uses a bicycle model and state feedback to generate the yaw acceleration and lateral acceleration signals.

12. The system according to claim 8 wherein the first state observer processor is further responsive to a vehicle steering angle compliance signal for generating the yaw acceleration and lateral acceleration signals.

13. The system according to claim 8 wherein the parameter estimation processor uses a recursive least squares estimation process for determining the updated front cornering stiffness signal and the rear cornering stiffness signal.

14. The system according to claim 8 further comprising a logic and data sanity check processor responsive to the vehicle state signals, the updated front and rear cornering stiffness signals, and the yaw acceleration and lateral acceleration error signals, said logic and data sanity check processor determining whether the updated front cornering stiffness signal and the rear cornering stiffness signal meet predetermined criteria before they are sent to the second state observer processor.

15. The system according to claim 14 wherein the logic and data sanity check processor determines whether the updated front cornering stiffness signal and the rear cornering stiffness signal are converging, if the error signals are in a steady state region, if the system is operating under predefined regions for parameter estimation and if the error signals are minimized.

16. A method for estimating vehicle side-slip of a vehicle, said method comprising:

calculating yaw acceleration and lateral acceleration signals using vehicle states;

subtracting the yaw acceleration and lateral acceleration signals from an estimated yaw acceleration from a measured yaw acceleration and lateral acceleration signal to generate yaw acceleration and lateral acceleration error signals;

calculating an updated front cornering stiffness signal and rear cornering stiffness signal from the yaw acceleration and lateral acceleration error signals; and

calculating an estimated vehicle side-slip signal from the updated front and rear cornering stiffness signals.

17. The method according to claim 16 wherein calculating yaw acceleration and lateral acceleration signals using vehicle states includes using one or more of a vehicle speed signal of the speed of the vehicle, a yaw rate signal of the yaw rate of the vehicle, a vehicle lateral acceleration of the vehicle, and a hand-wheel angle signal.

18. The method according to claim 16 wherein calculating yaw acceleration and lateral acceleration signals using vehicle states and calculating an estimated vehicle side-slip signal from the updated front and rear cornering stiffness signals include using a bicycle model with state feedback.

19. The method according to claim 16 wherein calculating yaw acceleration and lateral acceleration signals using vehicle states includes using a vehicle steering angle compliance signal.

20. The method according to claim 16 wherein calculating an updated front cornering stiffness signal and rear cornering stiffness signal from the yaw acceleration and lateral acceleration signals includes using a recursive least squares estimation process for determining the updated front cornering stiffness signal and the rear cornering stiffness signal.

21. The method according to claim 16 further comprising determining whether the updated front cornering stiffness signal and the rear cornering stiffness signal meet predetermined criteria before they are used to calculate the estimated vehicle side-slip signal.