IP Library Granted Patent US 12,415,521
Granted Patent B2
US 12,415,521 · App. 17/777,752 · Granted Sep 16, 2025

On-board road friction estimation

Inventors: Mats Jonasson (Partille, SE); Leo Laine (Härryda, SE); Leon Henderson (Härryda, SE)
Assignee: Volvo Truck Corporation
B60W40/068B60W60/001B60W2520/125B60W2520/14B60W2530/10B60W2530/20B60W2540/18B60W2552/40
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Quick Facts
Patent No.
US 12,415,521
App. No.
17/777,752
Granted
Sep 16, 2025
Kind
B2
Abstract

A road friction coefficient of a vehicle is estimated by obtaining substantially contemporaneous values associated with a steering angle for a steered axle of the vehicle, a lateral acceleration, a yaw acceleration, an alignment torque and an axle load on the steered axle; estimating a lateral tire force on the basis of the steering angle, lateral acceleration, and yaw acceleration; deriving a pneumatic trail from the alignment torque and estimated lateral tyre force; and estimating a road friction coefficient from the lateral tire force, the axle load, and the pneumatic trail. In embodiments, the derivation of the road friction coefficient includes evaluating a nonlinear function of the pneumatic trail.

Claims (164)

1. A method of estimating a road friction coefficient of a vehicle, the method comprising:

obtaining substantially contemporaneous values associated with a steering angle (δ) for a steered axle of the vehicle, a lateral acceleration (a y ), a yaw acceleration (dω z /dt), an alignment torque (M z ), and an axle load (m f ) on the steered axle;

estimating a lateral tire force (F y ) on the basis of the steering angle, lateral acceleration, and yaw acceleration;

deriving a pneumatic trail (t p ) from the alignment torque (M z ) and the estimated lateral tire force (F y ); and

estimating a road friction coefficient (μ) from the lateral tire force, the axle load, and the pneumatic trail,

wherein the method further comprises at least one of:

i) estimating the road friction coefficient by evaluating a predetermined nonlinear function of the pneumatic trail, wherein the nonlinear function is at least equal to any of:

F

y

m

f

g

tanh

3

a

-

9

t

p

2

a

,

F

y

m

f

g

arc

tanh

3

a

-

9

t

p

2

a

,

F

y

m

f

g

2

a

3

a

-

9

t

p

or scaled versions thereof, where g is gravitational acceleration, 2a is a tyre contact length, F y is lateral tyre force and t p is the pneumatic trail;

ii) deriving a tolerance range (μ − , μ + ) associated with the road friction coefficient; and

iii) evaluating the lateral tire force and alignment torque with respect to threshold values (F y,lim , M z,lim ) for the lateral tire force and the alignment torque.

2. The method of claim 1 , wherein the derivation of the pneumatic trail further comprises correcting for a caster trail (t c ) of the vehicle.

3. The method of claim 1 , wherein the evaluation provides a reliability appraisal of the estimated road friction coefficient.

4. The method of claim 1 , further comprising controlling the vehicle based on the estimated road friction coefficient.

5. The method of claim 4 , wherein the controlling further comprises taking a safety-relevant action in the vehicle in response to an evaluation of the estimated road friction coefficient.

6. The method of claim 1 , which is implemented in one or more of: a vehicle, a vehicle enabled for autonomous driving, an autonomous vehicle, a processing unit receiving data from a vehicle.

7. A vehicle comprising:

sensors including a steering angle sensor, a position and orientation sensor, a steering actuator, and an axle load estimator; and

processing circuitry including:

a lateral tire force estimator configured to:

receive a steering angle from the steering angle sensor as well as a lateral acceleration and yaw acceleration from the position and orientation sensor, and

estimate, based thereon, a lateral tire force,

a pneumatic trail estimator configured to:

receive a control signal controlling the steering actuator as well as the estimated lateral tire force, and

estimate, based thereon, a pneumatic trail, and

a road friction estimator configured to:

receive an axle load from the axle load estimator as well as the estimated lateral tire force and pneumatic trail, and

estimate, based thereon, a road friction coefficient,

wherein at least one of:

i) the processing circuitry further includes at least one post-processing unit configured to:

derive a tolerance of the road friction coefficient, and/or

evaluate current lateral tyre force and alignment torque with respect to threshold values (F y,lim , M z,lim ) for the lateral tire force and the alignment torque, or

ii) the road friction estimator is further configured to estimate the road friction coefficient by evaluating a predetermined nonlinear function of the pneumatic trail, wherein the nonlinear function is at least equal to any of;

F

y

m

f

g

tan

h

3

a

-

9

t

p

2

a

,

F

y

m

f

g

arc

tan

h

3

a

-

9

t

p

2

a

,

F

y

m

f

g

2

a

3

a

-

9

t

p

or scaled versions thereof, where g is gravitational acceleration, 2a is a tyre contact length, F y is lateral tyre force and t p is the pneumatic trail.

8. The vehicle of claim 7 , wherein the position and orientation sensor includes an inertial sensor.

9. The vehicle of claim 7 , wherein the pneumatic trail estimator is configured to derive an alignment torque from the control signal controlling the steering actuator.

10. A computer program comprising instructions which, when the program is executed by a computer, cause the computer to carry out the method of claim 1 .

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 18, 2022
From: JONASSON, MATS; LAINE, LEO; HENDERSON, LEON
To: VOLVO TRUCK CORPORATION
Reel/Frame 059945/0731 →
Continuity (1)
Related Publication 20220402498A1 · Dec 22, 2022
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