The present invention relates to an apparatus for predicting a friction coefficient of a road surface and a method thereof. The apparatus for predicting a friction coefficient of a road surface estimates an abrasion rate of a tire and the state and kind of a road surface corresponding to a sound signal in the periphery of the tire based on a first deep learning model. The apparatus for predicting a friction coefficient of a road surface estimates an early inclination adjustment element and a peak adjustment element of a friction coefficient curve corresponding to the abrasion rate of the tire and the state and kind of the road surface based on a second deep learning model. The apparatus for predicting a friction coefficient of a road surface also predicts a friction coefficient based on the early inclination adjustment element and the peak adjustment element of the friction coefficient curve, thereby improving prediction accuracy of the friction coefficient. To achieve the purpose of the present invention, the apparatus for predicting a friction coefficient of a road surface includes: a microphone obtaining the sound signal in the periphery of the tire mounted on the vehicle; and a control unit estimating the abrasion rate of the tire and the state and kind of the road surface corresponding to the sound signal in the periphery of the tire based on the first deep learning model. The control unit also estimates the early inclination adjustment element and the peak adjustment element of the friction coefficient curve of the friction coefficient curve corresponding to the abrasion rate of the tire and the state and kind of the road based on the second deep learning model. The apparatus for predicting friction coefficient of a road surface also predicts the friction coefficient based on the early inclination adjustment element and the peak adjustment element of the friction coefficient curve.

    본 발명은 노면의 마찰계수 예측 장치 및 그 방법에 관한 것으로, 제1 딥러닝 모델을 기반으로 타이어 주변의 음향신호에 상응하는 노면의 상태와 종류 및 타이어 마모도를 추정하고, 제2 딥러닝 모델을 기반으로 상기 노면의 상태와 종류 및 타이어 마모도에 상응하는 마찰계수곡선의 피크 조정인자와 초기 기울기 조정인자를 추정하며, 상기 마찰계수곡선의 피크 조정인자와 초기 기울기 조정인자에 기초하여 마찰계수를 예측함으로써, 마찰계수의 예측 정확도를 향상시킬 수 있는 노면의 마찰계수 예측 장치 및 그 방법을 제공하고자 한다. 이를 위하여, 본 발명은 차량에 장착된 타이어 주변의 음향신호를 취득하는 마이크로폰; 및 제1 딥러닝 모델을 기반으로 상기 타이어 주변의 음향신호에 상응하는 노면의 상태와 종류 및 타이어 마모도를 추정하고, 제2 딥러닝 모델을 기반으로 상기 노면의 상태와 종류 및 타이어 마모도에 상응하는 마찰계수곡선의 피크 조정인자와 초기 기울기 조정인자를 추정하며, 상기 마찰계수곡선의 피크 조정인자와 초기 기울기 조정인자에 기초하여 마찰계수를 예측하는 제어부를 포함할 수 있다.


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    Titel :

    APPARATUS FOR PREDICTING FRICTION COEFFICIENT OF ROAD SURFACE AND METHOD THEREOF


    Weitere Titelangaben:

    노면의 마찰계수 예측 장치 및 그 방법


    Beteiligte:
    YOON YOUNG SAM (Autor:in) / LEE JAE HUN (Autor:in) / YUM KI HO (Autor:in) / JANG DONG JIN (Autor:in) / HWANG SUNG WOOK (Autor:in) / LEE SANG KWON (Autor:in)

    Erscheinungsdatum :

    20.10.2023


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Koreanisch


    Klassifikation :

    IPC:    B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G10L Analyse oder Synthese von Sprache , SPEECH ANALYSIS OR SYNTHESIS / H04R LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS , Lautsprecher, Mikrofone, Schallplatten-Tonabnehmer oder ähnliche akustische, elektromechanische Wandler



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