Hyundai Motor Company

Kia Motors Corporation

Moon Seok Lee

Dong Chul Park

Ji Hoon Jeong

Ji Min Lim

Dae Hun Song

Young Kwan Ahn

Sang Beom Park

Eun Jun Han

A method for predicting performance of a vehicle NVH system based on deep learning is provided. The method includes preprocessing learning data collected for each channel associated with noise and vibration while driving, learning a model forming a correlation function between multiple inputs and multiple outputs corresponding to the preprocessed learning data using an artificial neural network, and predicting performance using a vehicle NVH system model formed through the learned model.

Method and apparatus for predicting performance of vehicle NVH system based on deep learning

Disclosed herein is an apparatus for generating an operating sound of a vehicle, which does not require a separate installation space and thus imposes no spatial limitations on the design of the vehicle. The apparatus includes a rotatable mechanism and a film The rotatable mechanism is driven by a motor, and is provided with a plurality of blades. The film is provided on at least one of the blades, a first end of the film being secured to an edge of the blade and a second end being a free end.

Apparatus for generating operating sound of vehicle

Growing community of inventors

Gyeonggi-do, South Korea

Moon Seok Lee