METHOD, ARRANGEMENT AND SYSTEM FOR ESTIMATING VEHICLE CORNERING STIFFNESS

• US 20160244068A1
• Filed: 02/12/2016
• Published: 08/25/2016
• Est. Priority Date: 02/20/2015
• Status: Active Grant

• Current Assignee: Volvo Car Corporation (AB Volvo)
• Original Assignee: Volvo Car Corporation (AB Volvo)
• Inventors: THOR, Mikael, GUSTAFSSON, Tony
• Granted Patent: US 10,124,809 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• 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 8/17551 determining control parameters related to vehicle stability used in the regulation, e.g. by calculations involving measured or detected parameters
• CPC Class Codes: B60W 2510/20 Steering systems
• CPC Class Codes: B60W 2520/10 Longitudinal speed
• CPC Class Codes: B60W 2520/125 Lateral acceleration
• CPC Class Codes: B60W 2520/14 Yaw
• CPC Class Codes: B60W 2530/10 Weight
• CPC Class Codes: B60W 2720/00 Output or target parameters relating to overall vehicle dynamics
• CPC Class Codes: B60W 40/101 Side slip angle of tyre

Abstract

A method, arrangement and system are described for estimating one or more vehicle cornering stiffness parameters (c_f, c_r) in a linear vehicle operating region. The method includes reading sensor data representative of at least vehicle (1) longitudinal velocity (v_x), vehicle lateral acceleration (a_y), vehicle yaw rate (ω_z) and vehicle steering angle (δ), determining from the read sensor data if the cornering stiffness parameters (c_f, c_r) are observable, and if so providing an estimate of the cornering stiffness parameters (c_f, c_r) using a bicycle model that includes a model of tire relaxation dynamics.

Claims

1. A method for estimating one or more vehicle cornering stiffness parameters in a linear operating region of a vehicle, the method comprising:

reading sensor data representative of at least a vehicle longitudinal velocity, a vehicle lateral acceleration, a vehicle yaw rate and a vehicle steering angle;

determining from the sensor data read if vehicle cornering stiffness parameters are observable; and

if so, generating a cornering stiffness parameter signal based on an estimate of the cornering stiffness parameters provided using a bicycle model that includes a model of tire relaxation dynamics.

2. The method according to claim 1 wherein determining cornering stiffness parameter observability further comprises:

determining if the vehicle longitudinal velocity exceeds a minimum threshold;

determining if the vehicle lateral acceleration is below a maximum threshold;

determining if the vehicle yaw rate exceeds a minimum threshold; and

determining if the vehicle steering angle exceeds a minimum threshold.

3. The method according to claim 1 wherein providing an estimate of the cornering stiffness parameters further comprises formulating and solving a weighted linear least squares problem using a standard recursive least squares approach.

4. The method according to claim 3 wherein the weighted linear least squares problem, in order to involve the cornering stiffness parameters and tire relaxation dynamics, is formulated based on a description of a lateral motion of the vehicle that includes a relation between a slip angle and a lateral tire force at the center of a tire and a slip angle and a lateral tire force at the point of contact between a tire and a road surface.

5. The method according to claim 4 wherein the description of the vehicle lateral motion includes a first order filter model for the relation between the slip angle and the lateral tire force at the center of a tire and the slip angle and the lateral tire force at the point of contact between the tire and the road surface according to

α

_f^t=H(s)α

_f

α

_r^t=H(s)α

_r

where

6. The method according to claim 3 wherein the description of the lateral motion of the vehicle is defined as

7. The method according to claim 1 wherein the weighted linear least squares problem is formulated to provide an estimation of both the front cornering stiffness and the rear cornering stiffness of the vehicle.

8. The method according to claim 1 wherein the weighted linear least squares problem is formulated to provide an estimation of the front cornering stiffness only.

9. The method of claim 1 further comprising preprocessing the sensor data before using the data for providing the estimate of the cornering stiffness parameters.

10. An arrangement for estimating one or more vehicle cornering stiffness parameters in a linear operating region of a vehicle, the arrangement comprising:

a vehicle longitudinal velocity sensor for providing a vehicle longitudinal velocity signal;

a vehicle lateral acceleration sensor for providing a vehicle lateral acceleration signal;

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

a steering angle sensor for providing a steering angle signal of the vehicle;

a cornering stiffness parameter observability determination unit arranged to determine from the sensor data read if vehicle cornering stiffness parameters are observable; and

a cornering stiffness parameter estimation unit arranged to generate a cornering stiffness parameter signal using a bicycle model that includes a model of tire relaxation dynamics.

11. A system for estimating one or more vehicle cornering stiffness parameters in a linear operating region of a vehicle, the system comprising an arrangement for estimating vehicle cornering stiffness parameters in a linear operating region of the vehicle, the arrangement configured to

read sensor data representative of at least a vehicle longitudinal velocity, a vehicle lateral acceleration, a vehicle yaw rate and a vehicle steering angle;

determine from the sensor data read if vehicle cornering stiffness parameters are observable; and

if so, generate a cornering stiffness parameter signal based on an estimate of the cornering stiffness parameters provided using a bicycle model that includes a model of tire relaxation dynamics.