Hyundai Motor Company

Kia Corporation

Kia Motors Corporation

Inha University Research and Business Foundation

Dayou Global Co., Ltd.

Dong Jin Jang

Kellen Gustine

Young Sam Yoon

Jae Hun Lee

Sung Wook Hwang

Ki Ho Yum

Jung Pil Kang

Hoe Gyung Jeong

Sang Kwon Lee

Wheel for an automobile

An apparatus and method for predicting a friction coefficient of a road surface are disclosed. The apparatus includes a microphone that obtains a sound signal around a tire mounted on a vehicle, and a controller that estimates a state and a type of the road surface and a degree of tire wear corresponding to the sound signal around the tire based on a first deep learning model, estimates a peak adjustment factor and an initial inclination adjustment factor of a friction coefficient curve corresponding to the state and the type of the road surface and the degree of tire wear based on a second deep learning model, and predicts the friction coefficient based on the peak adjustment factor and the initial inclination adjustment factor of the friction coefficient curve.

Apparatus for predicting friction coefficient of road surface and method thereof

A wheel structure for a vehicle includes: a rim, and a resonator including a plurality of resonance tubes attached along an outer peripheral surface of the rim. The plurality of resonance tubes are spaced apart from each other and connected along the outer peripheral surface of the rim by a plurality of strips, and an end of each of the strips is coupled to a corresponding end of each of the resonance tubes.

Vehicle wheel

Growing community of inventors

Siheung-si, South Korea

Dong Jin Jang