25권 2호 413-425 2024 [IJAT]
| 제목 | Development of Indoor Wear Test Method for Passenger Car Tires Refl ecting Road Driving Conditions |
|---|---|
| 분야 | ADAS, AI, Autonomous Vehicles |
| 언어 | English |
| 저자 | SUNG PIL JUNG(Korea Automotive Technology Institute), Junhee Lee(Korea Automotive Technology Institute) |
| Key Words | Tire test mode · Flat-trac · Machine learning · Peak–valley algorithm · Wear |
| 초록 |
This study presents a method for developing a tire indoor wear test mode that refl ects road driving conditions using a Flattrac. Using a machine learning model, the slip angle, slip ratio, longitudinal force, and lateral force change according to vehicle speed and acceleration changes are estimated. Reduced data representing the estimated data are calculated using a peak–valley (PV) algorithm. Through the blocking process, representative test modes for driving and braking, right turning and left turning are derived and converted into a test mode for application to the Flat-trac. The evolution of tire tread wear is observed through 120 repeated tests, and the applicability of the test mode developed in this study is discussed. |
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| 원문(PDF) | 다운로드 |