Online estimation of vehicle side-slip under linear operating region

• US 7,774,103 B2
• Filed: 07/28/2005
• Issued: 08/10/2010
• Est. Priority Date: 07/28/2005
• Status: Expired due to Fees

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: GM Global Technology Operations Incorporated (General Motors Company)
• Inventors: Zhang, Haicen, Deng, Weiwen
• Primary Examiner(s): Keith; Jack
• Assistant Examiner(s): Dager; Jonathan M
• Application Number:
  US11/192,423
• Publication Number:
  US 20070027586A1
• Time in Patent Office: 1,839 Days
• Field of Search: 701/1, 701/22, 701 26- 38, 701/41, 701/42, 701/45, 701/46, 701/48, 701/51, 701/53, 701/54, 701/58, 701/60, 701/65, 701/71, 701/72, 701/79, 701/82, 701/94, 701/110
• 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 configured to generate estimated yaw acceleration and estimated lateral acceleration signals;

a subtractor responsive to the estimated yaw acceleration and estimated lateral acceleration signals, said subtractor configured to generate 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 configured to generate 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 configured to calculate 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 estimated yaw acceleration and estimated 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 estimated yaw acceleration and estimated 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 configured to use the state signals to generate yaw acceleration and lateral acceleration signals;

a subtractor responsive to the yaw acceleration and lateral acceleration signals and the vehicle state signals, said subtractor configured to generate 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 configured to generate 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.