IP Library › Granted Patent US 11,472,237
Granted Patent B2
US 11,472,237 · App. 17/059,523 · Granted Oct 18, 2022

Tire damage detection system and method

Inventors: Lorenzo Alleva (Rome, IT); Marco Pascucci (Rome, IT)
Assignee: Bridgestone Europe NV/SA [BE]
B60C11/246B60C19/00B60C23/0491B60C23/061B60C2019/004
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Quick Facts
Patent No.
US 11,472,237
App. No.
17/059,523
Granted
Oct 18, 2022
Kind
B2
Abstract

The invention concerns a tire damage detection system ( 1,1 A) that includes an acquisition device ( 11 ), a processing system ( 12,12 A) and a notification device ( 13,13 A). The acquisition device ( 11 ) is installed on board a motor vehicle ( 2 ) equipped with two or more wheels fitted with tires, is coupled to a vehicle bus ( 20 ) of the motor vehicle ( 2 ), and is configured to acquire, from the vehicle bus ( 20 ), a signal indicative of a speed of a wheel of the motor vehicle ( 2 ) and output quantities indicative of the wheel speed. The processing system ( 12,12 A) is configured to store a predefined tire damage model and to receive, from the acquisition device ( 11 ), the quantities indicative of the wheel speed, and is programmed to compute, based on the quantities indicative of the wheel speed, a normalized wheel speed indicative of a ratio of the wheel speed to an average wheel speed indicative of motor vehicle speed, and detect a potential damage to a tire of the wheel of the motor vehicle ( 2 ) based on the predefined tire damage model and on the normalized wheel speed. The notification device ( 13,13 A) is configured to, if a potential damage to the tire of the wheel of the motor vehicle ( 2 ) is detected by the processing system ( 12,12 A), signal the detected potential damage to a user ( 3 ) associated with the motor vehicle ( 2 ). In particular, according to the present invention, the processing system ( 12 ) is a cloud computing system ( 12 A) that is wirelessly and remotely connected to the acquisition device ( 11 ), while the notification device ( 13 ) is an electronic communication device ( 13 A) associated with the user ( 3 ) and remotely connected to the cloud computing system ( 12 A) via one or more wired and/or wireless networks.

Claims (63)

1. A tire damage detection system comprising:

an acquisition device installed on board a motor vehicle equipped with two or more wheels fitted with tires, wherein the acquisition device is coupled to a vehicle bus of the motor vehicle and configured to acquire, from the vehicle bus, a signal indicative of a speed of a wheel of the motor vehicle and output quantities indicative of the wheel speed;

a cloud computing system wirelessly and remotely connected to the acquisition device and configured to

store a predefined tire damage model,

receive, from the acquisition device, the quantities indicative of the wheel speed,

compute, based on the quantities indicative of the wheel speed, a normalized wheel speed indicative of a ratio of the wheel speed to an average wheel speed indicative of motor vehicle speed, and

detect a potential damage to a tire of the wheel of the motor vehicle based on the predefined tire damage model and on the normalized wheel speed; and

an electronic communication device associated with a user associated with the motor vehicle and remotely connected to the cloud computing system via one or more wired and/or wireless networks,

wherein the electronic communication device is configured to, if a potential damage to the tire of the wheel of the motor vehicle is detected by the cloud computing system, signal the detected potential damage to the user associated with the motor vehicle.

2. The tire damage detection system of claim 1 , wherein:

the predefined tire damage model includes a set of predefined thresholds related to different average wheel speed values and a set of predefined time lengths related to different average wheel speed values; and

the cloud computing system is configured to:

select one of the predefined thresholds and one of the predefined time lengths depending on the average wheel speed;

analyse the normalized wheel speed by means of a sliding time window having the predefined time length selected;

detect a maximum value and a minimum value of the normalized wheel speed within the sliding time window; and

detect a potential damage to the tire of the wheel of the motor vehicle if a difference between said maximum and minimum values exceeds the predefined threshold selected.

3. The tire damage detection system of claim 2 , wherein:

the acquisition device is configured to:

further acquire, from the vehicle bus, a signal indicative of a tire inflation pressure of the tire of the wheel of the motor vehicle; and

output quantities indicative of said tire inflation pressure;

the predefined thresholds are related to different average wheel speed values and different tire inflation pressure values;

the cloud computing system is configured to

further receive, from the acquisition device, the quantities indicative of the tire inflation pressure, and

select one of the predefined thresholds depending on the average wheel speed and the tire inflation pressure.

4. A tire damage detection method comprising a preliminary stage and a tire damage detection stage,

wherein said preliminary stage comprises:

performing tests involving test tire impacts against/on different obstacles at different motor vehicle speeds;

acquiring test-related wheel speeds during the performed tests;

computing test-related normalized wheel speeds based on the test-related wheel speeds; and

determining the predefined tire damage model to be used in a tire damage detection stage based on the test-related normalized wheel speeds corresponding to the test tire impacts and of associated test-related average wheel speeds; and

wherein the tire damage detection stage comprises:

receiving, from an acquisition device, quantities indicative of a speed of a wheel of the motor vehicle;

computing, based on the quantities indicative of the wheel speed, a normalized wheel speed indicative of a ratio of the wheel speed to an average wheel speed indicative of motor vehicle speed; and

detecting a potential damage to a tire of the wheel of the motor vehicle based on the predefined tire damage model and on the normalized wheel speed.

5. The tire damage detection method of claim 4 , wherein:

the predefined tire damage model includes a set of predefined thresholds related to different average wheel speed values and a set of predefined time lengths related to different average wheel speed values; and

the method further comprising:

selecting one of the predefined thresholds and one of the predefined time lengths depending on the average wheel speed;

analysing the normalized wheel speed by means of a sliding time window having the predefined time length selected;

detecting a maximum value and a minimum value of the normalized wheel speed within the sliding time window; and

detecting a potential damage to the tire of the wheel of the motor vehicle if a difference between said maximum and minimum values exceeds the predefined threshold selected.

6. The tire damage detection method of claim 5 , comprising:

further acquiring quantities indicative of a tire inflation pressure of the tire of the wheel of the motor vehicle;

wherein the predefined thresholds are related to different average wheel speed values and different tire inflation pressure values; and

selecting one of the predefined thresholds depending on the average wheel speed and the tire inflation pressure.

7. A cloud computing system wirelessly and remotely connected to an acquisition device installed on board a motor vehicle equipped with two or more wheels fitted with tires, wherein the acquisition device is coupled to a vehicle bus of the motor vehicle, and wherein the cloud computing system is configured to:

store a predefined tire damage model;

receive, from the acquisition device, quantities indicative of a speed of a wheel of the motor vehicle;

compute, based on the quantities indicative of the wheel speed, a normalized wheel speed indicative of a ratio of the wheel speed to an average wheel speed indicative of motor vehicle speed; and

detect a potential damage to a tire of the wheel of the motor vehicle based on the predefined tire damage model and on the normalized wheel speed.

8. The cloud computing system of claim 7 , further remotely connected via one or more wired and/or wireless networks to an electronic communication device associated with a user associated with the motor vehicle, wherein the cloud computing system is further configured, if a potential damage to the tire of the wheel of the motor vehicle is detected, to signal the detected potential damage to the user associated with the motor vehicle via the electronic communication device.

9. The cloud computing system of claim 7 , wherein:

the predefined tire damage model includes a set of predefined thresholds related to different average wheel speed values and a set of predefined time lengths related to different average wheel speed values; and

the cloud computing system is configured to:

select one of the predefined thresholds and one of the predefined time lengths depending on the average wheel speed;

analyse the normalized wheel speed by means of a sliding time window having the predefined time length selected;

detect a maximum value and a minimum value of the normalized wheel speed within the sliding time window; and

detect a potential damage to the tire of the wheel of the motor vehicle if a difference between said maximum and minimum values exceeds the predefined threshold selected.

10. The cloud computing system of claim 9 , wherein:

the predefined thresholds are related to different average wheel speed values and different tire inflation pressure values; and

the cloud computing system is configured to

further receive, from the acquisition device, quantities indicative of a tire inflation pressure of the tire of the wheel of the motor vehicle; and

select one of the predefined thresholds depending on the average wheel speed and the tire inflation pressure.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 3, 2020
From: ALLEVA, LORENZO; PASCUCCI, MARCO
To: BRIDGESTONE EUROPE NV/SA [BE]
Reel/Frame 054527/0583 →
Priority Claims (1)
IT IT102018000005906 · May 31, 2018 · national
Continuity (1)
Related Publication 20210260933A1 · Aug 26, 2021
Cited By (1)
US 12,358,428