Tire pressure classification based tire pressure monitoring

• US 9,145,033 B2
• Filed: 07/01/2013
• Issued: 09/29/2015
• Est. Priority Date: 03/16/2007
• Status: Active Grant

• Current Assignee: Nira Dynamics AB
• Original Assignee: Nira Dynamics AB
• Inventors: Hall, Peter, Gustavsson, Tony
• Primary Examiner(s): Trammell, James
• Assistant Examiner(s): Malhotra, Sanjeev
• Application Number:
  US13/933,095
• Publication Number:
  US 20140012535A1
• Time in Patent Office: 820 Days
• Field of Search: 701/1, 701/29, 701/37, 705/1, 705/80, 702/50, 731/46, 340/442, 340/443, 340/444, 301/5.21, 235/375, 524/494
• US Class Current: 1/1
• CPC Class Codes: B60C 23/02 Signalling devices actuated by tyre pressure hand-held tyre pressure gauges G01L17/00
• CPC Class Codes: B60C 23/0408 transmitting the signals by non-mechanical means from the wheel or tyre to a vehicle body mounted receiver
• CPC Class Codes: B60C 23/061 by monitoring wheel speed measuring distance traversed on the ground by vehicles G01C22/00
• CPC Class Codes: B60C 23/062 Frequency spectrum analysis of wheel speed signals, e.g. using Fourier transformation

Abstract

A method and system for indirect tire pressure monitoring of tires of a vehicle is described. The method may include providing a tire classification database indicating at least one classified tire type. The method may also include determining a vehicle tire type for the vehicle on the basis of vehicle data in including information on at least one tire currently used with the vehicle, and determining whether the vehicle tire type can be associated to one of the at least one classified tire type. The method may also include, in the case an association is determined, monitoring tire pressure according to the associated classified tire type.

Claims

1. A method of indirect tire pressure monitoring of tires of a vehicle, comprising:

providing a tire classification database indicating at least one classified tire type;

determining a vehicle tire type for the vehicle on the basis of vehicle data including information on at least one tire currently used with the vehicle, wherein determining the vehicle tire type includes at least one of wheel speed spectrum and tire force spectrum analysis to obtain at least one of a wheel spectrum data and a tire force spectrum data for the at least one tire;

determining whether the vehicle tire type can be associated to one of the at least one classified tire type, wherein determining whether the vehicle tire type can be associated to one of the at least one classified tire type includes determining whether the tire classification database includes data indicating a tire type having at least one of a wheel speed spectrum data and a tire force spectrum data being at least comparable with at least one of the wheel speed spectrum data and tire force spectrum data; and

in the case an association is determined, monitoring tire pressure according to the associated classified tire type, wherein, determining whether the vehicle tire type can be associated to one of the at least one classified tire type fails, tire pressure monitoring is performed on the basis of at least one of a default parameter setting and a default operation mode.

2. The method of claim 1, further comprising at least one of the following:

(1) wherein the tire classification database indicates, in association to each of the at least one classified tire type, at least one of at least one parameter setting for tire pressure monitoring and at least one operation mode for tire pressure monitoring; and

further comprising retrieving at least one of the at least one parameter setting and at least one operation mode from the tire classification database, wherein tire pressure monitoring is performed according to the retrieved at least one parameter setting and operation mode;

(2) wherein determining the vehicle tire type includes determining an overall vehicle tire type for the vehicle, wherein tire pressure monitoring is preferably performed for at least two different tires of the vehicle according to the associated classified tire type;

(3) wherein determining the vehicle tire type is performed to determine an individual vehicle tire type for at least two different tires of the vehicle;

(4) wherein determining whether the vehicle tire type can be associated to one of the at least one classified tire type is performed with respect to each of the at least two different tires;

(5) wherein tire pressure monitoring is performed for each of the at least two different tires according to the respectively associated classified tire type; and

(6) wherein

determining the vehicle tire type includes determining at least one characteristic of a tire of the vehicle; and

determining whether the vehicle tire type can be associated to one of the at least one classified tire type includes determining whether one of the at least one classified tire type has at least one characteristic being at least comparable with the determined at least one vehicle tire characteristic.

3. The method of claim 1, wherein determining the vehicle tire type includes wheel speed spectrum analysis to obtain a wheel speed spectrum data for the at least one tire.

4. The method of claim 3, further comprising at least one of the following:

(1) wherein determining whether the vehicle tire type can be associated to one of the at least one classified tire type includes determining whether the tire classification database includes data indicating a tire type having tire force spectrum data being at least comparable with the wheel speed spectrum data;

(2) wherein wheel spectrum analysis includes determining wheel speed resonance center of gravity data for the at least one tire, wherein determining whether the vehicle tire type can be associated to one of the at least one classified tire type preferably includes determining whether the tire classification database includes data indicating a tire type having a tire force resonance center of gravity data being at least comparable with the wheel speed resonance center of gravity data; and

(3) wherein wheel spectrum analysis includes determining wheel speed resonance width data for the at least one tire, wherein determining whether the vehicle tire type can be associated to one of the at least one classified tire type preferably includes determining whether the tire classification database includes data indicating a tire type having a tire force resonance width data being at least comparable with the wheel speed resonance width data.

5. The method of claim 1, further including generating the tire classification database on the basis of testing at least one to be classified tire in a test environment.

6. The method of claim 5, comprising at least one of the following:

(1) wherein generating the tire classification database includes determining, for the at least one to be classified tire, data indicating characteristic tire oscillations;

(2) wherein generating the tire classification database includes determining, for the at least one to be classified tire, data indicating tire oscillations in tangential tire direction;

(3) wherein generating the tire classification database includes determining, for the at least one to be classified tire, data indicating tire oscillations in radial tire direction;

(4) wherein generating the tire classification database includes determining, for the at least one to be classified tire, tire force spectrum data;

(5) wherein generating the tire classification database includes determining, for the at least one to be classified tire, tire force resonance center of gravity data;

(6) wherein generating the tire classification database includes determining, for the at least one to be classified tire, tire force resonance width data;

(7) wherein

determining tire force spectrum data is based on the data indicating tire oscillations in tangential tire direction;

determining tire force resonance center of gravity data is based on the data indicating tire oscillations in tangential tire direction; and

determining tire force resonance width data is based on the data indicating tire oscillations in tangential tire direction;

(8) wherein

determining tire force spectrum data is based on the data indicating tire oscillations in radial tire direction;

determining tire force resonance center of gravity data is based on the data indicating tire oscillations in radial tire direction; and

determining tire force resonance width data is based on the data indicating tire oscillations in radial tire direction; and

(9) wherein generating the tire classification database includes determining, for the at least one to be classified tire, at least one of at least one parameter setting for indirect tire pressure monitoring and at least one operation mode for indirect tire pressure monitoring.