Method of predicting vehicle clutch life based on real-time judder diagnosis and system for diagnosing vehicle judder in real time

Patent metadata

Field	Value
Publication number	US-12331799-B2
Application number	US-202318178740-A
Country	US
Kind code	B2
Filing date	Mar 6, 2023
Priority date	Aug 10, 2022
Publication date	Jun 17, 2025
Grant date	Jun 17, 2025

Abstract

An embodiment method of predicting vehicle clutch life based on real-time judder diagnosis includes storing to a cloud server actual road driving data measured by an actual road driving information collection device while a vehicle travels, extracting a judder occurrence entry condition by downloading the actual road driving data from the cloud server and checking judder occurrence information in a clutch life prediction device, calculating a judder index by checking judder index information from the actual road driving data in the clutch life prediction device, predicting a clutch useful life of a double clutch transmission (DCT) using a clutch useful life prediction curve for the judder index, and generating a maintenance notification at a time of clutch maintenance.

First claim

What is claimed is:

1. A method of predicting vehicle clutch life based on real-time judder diagnosis, the method comprising:
storing to a cloud server actual road driving data measured by an actual road driving information collection device while a vehicle travels;
extracting a judder occurrence entry condition by downloading the actual road driving data from the cloud server and checking judder occurrence information in a clutch life prediction device;
calculating a judder index by checking judder index information from the actual road driving data in the clutch life prediction device;
predicting a clutch useful life of a double clutch transmission (DCT) using a clutch useful life prediction curve for the judder index; and
generating a maintenance notification at a time of clutch maintenance.

2. The method of claim 1 , wherein a sampling frequency equal to or higher than a specific frequency is used to measure the actual road driving data.

3. The method of claim 1 , wherein the actual road driving data comprises a vehicle speed, an accelerator pedal scope range, a mileage, a transmission gear range, a clutch rotational speed, or a clutch temperature.

4. The method of claim 1 , wherein extracting the judder occurrence entry condition comprises:
checking the judder occurrence information using a vehicle speed, an accelerator pedal scope range, a transmission gear range, a clutch rotational speed, a clutch temperature, or a mileage;
applying a judder occurrence driving condition to the judder occurrence information and determining the judder occurrence driving condition as a judder occurrence condition when the judder occurrence driving condition is satisfied; and
extracting a judder evaluation mode in the judder occurrence condition.

5. The method of claim 4 , wherein the judder occurrence driving condition is set to a driving transmission gear range, a vehicle speed threshold, an acceleration threshold, or an accelerator pedal scope range.

6. The method of claim 1 , wherein calculating the judder index comprises:
checking the judder index information using a clutch rotational speed, a clutch temperature, or a mileage;
signal-processing the clutch rotational speed through a bandpass filter and calculating the number of peaks using minimum and maximum values of the clutch rotational speed at the clutch temperature;
checking a judder index generation condition with the number of peaks; and
calculating the judder index in the judder index generation condition.

7. The method of claim 6 , wherein the number of peaks uses a specific number.

8. The method of claim 6 , wherein:
the judder index comprises a clutch temperature index; and
the clutch temperature index is set from a relationship between a clutch index of the DCT and a maximum value of longitudinal vibration of the vehicle.

9. The method of claim 1 , wherein predicting the clutch useful life comprises:
averaging the judder index by setting, as a moving average, an average of a previous mileage of last measured data with respect to a mileage;
calculating the clutch useful life by data plotting of the judder index with a change in the mileage to the moving average and calculating the clutch useful life prediction curve using a curve fitting function; and
checking a clutch limit life by applying a life reference point to the clutch useful life prediction curve.

10. The method of claim 9 , wherein the clutch limit life is checked when the clutch useful life prediction curve deviates from the life reference point.

11. The method of claim 1 , wherein generating the maintenance notification comprises:
generating a primary maintenance notification by setting, as the time of clutch maintenance, a time when the clutch useful life prediction curve deviates from a life reference point;
checking an elapse of notification time using a tolerance time; and
generating a secondary maintenance notification.

12. The method of claim 11 , wherein the maintenance notification uses a primary message and a secondary message to display an external message with different contents.

13. The method of claim 11 , wherein the tolerance time is set in a section close to a limit life in which the clutch useful life prediction curve deviates from the life reference point.

14. A system for diagnosing vehicle judder in real time, the system comprising:
an actual road driving information collection device;
a cloud server configured to store actual road driving data measured by the actual road driving information collection device while a vehicle travels;
a clutch life prediction device configured to extract a judder evaluation mode using a vehicle speed, an acceleration, an accelerator pedal scope range, a mileage, a transmission gear range, a clutch rotational speed, or a clutch temperature of the actual road driving data, to calculate a judder index using the clutch rotational speed, the clutch temperature, or the mileage, and to predict a clutch useful life of a double clutch transmission (DCT) using a useful life prediction curve calculated by a curve fitting function after data plotting of the judder index with a change in the mileage; and
a notification unit configured to generate a maintenance notification at a time of clutch maintenance checked as a result of prediction of the clutch useful life.

15. The system of claim 14 , wherein the actual road driving information collection device comprises:
a transmission controller configured to detect the transmission gear range, the clutch rotational speed, or the clutch temperature in the vehicle; and
a vehicle data management system (VDMS) linked to the transmission controller and the cloud server while detecting the vehicle speed, the acceleration, the accelerator pedal scope range, or the mileage in the vehicle.

16. The system of claim 14 , wherein the VDMS is mounted on the vehicle.

17. The system of claim 14 , wherein the clutch life prediction device comprises:
a judder evaluation condition extractor configured to download the actual road driving data from the cloud server; and
a judder index calculator configured to extract the judder evaluation mode, calculate the judder index, calculate the useful life prediction curve, predict the clutch useful life, and generate the time of clutch maintenance.

Assignees

• Hyundai Motor Co Ltd
• Kia Corp

Inventors

• Jin Jae-Min
• Jung In-Soo

Classifications

• F16D2500/30406

  Clutch slip · CPC title

• F16D2500/10412

  Transmission line of a vehicle · CPC title

• F16D2500/31

  from the vehicle · CPC title

• F16D2500/104

  Clutch · CPC title

• F16D2066/008

  of clutches · CPC title