Granted Patent B2

US 12,409,685 · App. 18/592,636 · Granted Sep 9, 2025

Inventors: Naoto Okazaki (Tokyo, JP); Shoji Oida (Tokyo, JP)

Assignee: BRIDGESTONE CORPORATION

B60C11/246

Abstract

Claims (40)

1. A tire wear prediction system, comprising:

a wear prediction unit for predicting a wear state of a tire mounted at a predetermined wheel position of a vehicle based on a traveling state of the vehicle;

a change history acquisition unit for acquiring a change history including rotation of the wheel position on which the tire is mounted or a content of replacement with another tire; and

a wear state correction unit for correcting a reference of the wear state of the tire predicted by the wear prediction unit based on the change history, wherein

the wear prediction unit:

predicts the wear state of the tire based on the reference of the wear state corrected by the wear state correction unit, and

switches to a prediction method for delaying a progress of the wear state after wear of the tire progresses.

2. The tire wear prediction system according to claim 1 , wherein the wear state correction unit corrects the reference of the wear state based on the wheel position after the rotation when the change history is the rotation of the wheel position.

3. The tire wear prediction system according to claim 1 , wherein the wear state correction unit corrects the reference of the wear state based on at least one of a brand, a type, and a new tire or not when the change history is a change to another tire.

4. The tire wear prediction system according to claim 1 , wherein the tire wear prediction system comprises a wear state display unit for displaying the wear state predicted by the wear prediction unit; wherein

the wear state display unit displays the wear state for each type of wear cause.

5. A tire wear prediction program causing a computer to execute:

a wear prediction process for predicting a wear state of a tire mounted at a predetermined wheel position of a vehicle based on the traveling state of the vehicle;

a change history acquiring process for acquiring a change history including rotation of the wheel position on which the tire is mounted or a content of replacement with another tire; and

a wear state correction processing for correcting a reference of the wear state of the tire predicted by the wear prediction processing based on the change history; wherein

the wear prediction processing:

predicts the wear state of the tire based on the reference of the previous wear state corrected by the wear state correction processing, and

switches to a prediction method for delaying a progress of the wear state after wear of the tire progresses.

6. A tire wear prediction method comprising the steps of:

a wear prediction step of predicting a wear state of a tire mounted on a predetermined wheel position of a vehicle based on a traveling state of the vehicle;

a change history acquiring step of acquiring a change history including the rotation of the wheel position on which the tire is mounted or a content of replacement with another tire;

a wear state correction step of correcting a reference of the wear state of the tire predicted by the wear prediction step based on the change history; wherein

in the wear predicting step, the tire wear predicting method predicts the wear state of the tire based on the reference of the wear state corrected by the wear state correcting step and switches to a prediction method for delaying a progress of the wear state after wear of the tire progresses.

7. A data structure used in a tire wear prediction system for predicting a wear state of a tire mounted at a predetermined wheel position of a vehicle based on a traveling state of the vehicle; including:

a tire ID which is unique identification information imparted to the tire;

a type of the tire;

a size of the tire;

a brand of the tire;

a residual groove amount indicating a residual groove depth of a groove formed in a tread of the tire; and

a wear characteristic indicating a characteristic of a tire used for predicting the wear state of the tire; wherein

the data structure is used in the tire wear prediction system for:

a process of correcting a reference of the wear state of the tire predicted by a wear prediction processing based on the change history including the rotation of the wheel position on which the tire is mounted or the content of replacement with another tire, wherein

the wear prediction processing:

predicts the wear state of the tire based on the reference of the previous wear state corrected by the wear state correction processing, and

switches to a prediction method for delaying a progress of the wear state after wear of the tire progresses.

8. The tire wear prediction system according to claim 2 , wherein the wear state correction unit corrects the reference of the wear state based on at least one of a brand, a type, and a new tire or not when the change history is a change to another tire.

9. The tire wear prediction system according to claim 2 , wherein the tire wear prediction system comprises a wear state display unit for displaying the wear state predicted by the wear prediction unit; wherein

the wear state display unit displays the wear state for each wear cause.

10. The tire wear prediction system according to claim 3 , wherein the tire wear prediction system comprises a wear state display unit for displaying the wear state predicted by the wear prediction unit; wherein

the wear state display unit displays the wear state for each wear cause.

Priority Claims (1)

Continuity (2)

References Cited (33)