AI-based noise generation diagnosis apparatus and method of PE components for electric vehicle
AssigneesHyundai Motor Company, Kia Corporation
InventorsDong-Chul Lee, In-Soo Jung
Life of this patent
Estimating the term…
Abstract
Embodiments of the present disclosure relate to an AI-based noise generation diagnosis apparatus and method of diagnosing noise of PE components for an electric vehicle, in which a plurality of microphones are disposed in a vehicle interior, and a calculation unit measures positions of noise sources from any one or more among the PE components comprising a main motor, a decelerator, an inverter, and an auxiliary motor from front, rear, and upward directions of the microphone, and at the same time, estimates a noise transmission position where the noise is transmitted.
Claims14
An artificial intelligence (AI) based apparatus for diagnosing noise generation of power electric (PE) components for an electric vehicle, comprising:
- a plurality of microphones disposed in a vehicle interior;
- and
- a calculation unit collecting and calculating noise data measured by the microphones,
- wherein the microphones acquire the noise data generated from any one or more of the PE components, and
- wherein the calculation unit performs artificial intelligence learning for diagnosing failures and estimating a noise generation position and a noise transmission position to identify a position of the noise source and a noise leak portion.
An artificial intelligence (AI) based method of diagnosing noise generation of power electric (PE) components for an electric vehicle, comprising:
- collecting noise data in front and rear directions from a plurality of microphones disposed in a vehicle interior;
- extracting a feature vector of the noise data and preparing a data set labeled through data labeling;
- performing, by a calculation unit, learning of a failure diagnosis model from the extracted feature vector and the labeled data set;
- performing, by the calculation unit, learning estimating a noise generation position and a noise transmission position in addition to the failure diagnosis model;
- and
- visualizing the noise generation position and the noise transmission position from image data acquired by a camera positioned in the front and rear directions together with the microphones.
Dependencies are inferred from the claim text.