METHOD FOR DETERMINING THE STATE OF A ROAD SURFACE AND METHOD OF GENERATING A LOG OVER THE USE OF A VEHICLE

• US 20100312492A1
• Filed: 12/04/2007
• Published: 12/09/2010
• Est. Priority Date: 12/05/2006
• Status: Abandoned Application

• Current Assignee: Volvo Lastvagnar AB (Volvo AB)
• Original Assignee: Volvo Lastvagnar AB (Volvo AB)
• Inventors: Fryk, Per-Olov, Öijer, Fredrik
• Application Number:
  US12/518,048
• Publication Number:
  US 20100312492A1
• Time in Patent Office: Days
• US Class Current: 702/33
• CPC Class Codes: B60G 17/0165 to an external condition, e.g. rough road surface, side wind
• CPC Class Codes: B60G 2400/204 Vehicle speed
• CPC Class Codes: B60G 2400/252 vertical
• CPC Class Codes: B60G 2400/821 Uneven, rough road sensing affecting vehicle body vibration
• CPC Class Codes: B60G 2600/08 Failure or malfunction detecting means
• CPC Class Codes: B60G 2600/60 Signal noise suppression; Electronic filtering means
• CPC Class Codes: B60G 2800/802 Diagnostics
• CPC Class Codes: G01B 7/34 for measuring roughness or irregularity of surfaces

Abstract

A method for determining the state of a road surface on which a vehicle has traveled includes the steps of: a) retrieving a signal representative of the distance between the wheel axle and the vehicle body; b) providing, from the retrieved signal, a band pass filtered first component; c) calculating a first value representative of an excitation degree of the first component.

Claims

1. A method for determining the state of a road surface on which a vehicle has traveled, providing a filtered first component from a retrieved signal, characterized by the steps of

a) retrieving the signal representative of the distance between a wheel axle and the vehicle body;

b) providing, from the retrieved signal, the filtered first component, wherein the first component is representative of an axle resonance of a wheel axle of the vehicle, and exposing the signal to a first band pass filter with a first frequency band around the axle resonance of the wheel axle in order to obtain the first component;

c) calculating a first value representative of an excitation degree of the first component;

d) retrieving a signal representative of the velocity of the vehicle;

e) compensating the first velocity for the influence of the velocity such that a first velocity compensated value

is generated;

f) comparing the first velocity compensated value with stored data for classifying the state of the road on which the vehicle has traveled.

2. A method according to claim 1, wherein the first frequency band is between 5 and 15 Hz.

3. A method according to claim 1, wherein the step c) includes the step of forming a root mean square value of the first component in a measurement window in order to generate the first value.

4. A method according to claim 1, wherein the step e) includes the step of multiplying the first value with a coefficient dependent on the velocity of the vehicle.

5. A method according to claim 4, wherein the coefficient increases with the velocity v as v^1.5.

6. A method according to claim 1, wherein the step e) furthermore includes the step of compensating for the suspended axle load, by multiplying the first velocity compensated value with a first factor dependent on the suspended axle load in order to obtain a first velocity and mass compensated value.

7. A method according to claim 6, wherein the step f) is replaced with the step of comparing the first velocity and mass compensated value with stored data for classifying the state of the road on which the vehicle has traveled.

8. A method according to claim 1 wherein the method step b) includes the step b2) of providing a filtered second component from the retrieved signal and that the following further method steps are performed:

c2) calculating a second value representative of an excitation degree of the second component (82);

e2) compensating the second value for the influence of the velocity such that a second velocity compensated value is generated;

f2) comparing the second velocity compensated value with stored data for classifying the state of the road on which the vehicle has traveled.

9. A method according to claim 8, wherein the second component (82) is representative of sprung mass motion in the vertical direction of the vehicle.

10. A method according to claim 8, wherein the step b2 includes the step of exposing the signal to a second band pass filter with a second frequency band around the sprung mass motion in the vertical direction of the vehicle in order to obtain the second component.

11. A method according to claim 10, wherein the second frequency band is between 0.5-5 Hz.

12. A method according to claim 8, wherein the step c) further includes the step of forming a root mean square value of the second component in a measurement window in order to generate the second value.

13. A method according to claim 8, wherein the step e) further includes the step of multiplying the second value with a coefficient dependent on the velocity of the vehicle.

14. A method according to claim 13, wherein the coefficient increases with the velocity v as v^1.5.

15. A method according to claim 8, wherein the step e) furthermore includes the step of compensating for the suspended axle load by multiplying the second velocity compensated value with a second factor dependent on the suspended axle load in order to obtain a second velocity and mass compensated value.

16. A method according to claim 17, wherein the step f) is replaced with the step of comparing the first velocity and mass compensated value and the step f2) is replaced with the step of comparing the second velocity and mass compensated value with stored data for classifying the state of the road on which the vehicle has traveled.

17. A method according to claim 8 wherein the step f) includes the step of locating the first and second compensated values in a two dimensional diagram, and that the state of the road is classified by reference values applicable to the location of the first and second compensated values in the two dimensional diagram.

18. A method according to claim 1, comprising selecting the distance between the vehicle frame and the wheel axle as the signal.

19. A method according to claim 1, comprising generating the signal representative of the distance by means of a level sensor for an air suspension.

20. A method of determining a wear of a vehicle by generating a log over the use of a vehicle, wherein the state of a road is classified into a number of severity classes, and the velocity of the vehicle is divided into a subset of velocities such that a two dimensional matrix is obtained;

wherein the distance driven at a particular velocity and a particular state of the road, determined by a method for determining the state of a road surface on which a vehicle has traveled, providing a filtered first component from a retrieved signal, according to claim 1, is logged in the two dimensional matrix.

21. A method according to claim 20, wherein a further dimension constituting the suspended axle load is added, whereby the suspended axle load is divided into a set of suitable ranges such that a three dimensional matrix is obtained;

wherein the distance driven at a particular velocity, with a particular suspended axle load and a particular state of the road, determined by the method for determining the state of a road surface on which a vehicle has traveled, providing a filtered first component from a retrieved signal, is logged in the three dimensional matrix.

22. (canceled)

23. (canceled)