지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학위논문
- 저자정보
- 지도교수
- 이상권
- 발행연도
- 2020
- 저작권
- 인하대학교 논문은 저작권에 의해 보호받습니다.
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- 연관 학술논문 또는 학술발표를 통해 보다 발전된 연구결과를 확인하실 수 있습니다.
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초록· 키워드
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As the penetration rate of electric vehicles increases, the interest in interior sound quality of electric vehicles is also increasing. There is a recognition that electric vehicles are quieter than engine vehicles, but interior sound masked by engine combustion noise such as wind noise, road noise and gear whine noise can be heard and it can be unpleasant. In addition, there is a problem that a driver cannot feel the acceleration sensation which is felt in the engine vehicle. Therefore, it is necessary to analyze and objectify the interior sound of the vehicles preferred by consumers and apply it to the ASD system to improve the interior sound quality of the electric vehicle. Sound quality for “powerfulness” and “pleasantness” has been studied insied the vehicle. A powerful index and pleasant index were developed to evaluate the perceptions of interior sound based on three sound metrics: booming index, rumble index, and order decay rario of the recored interior sounds. Powerful index and pleasant index can be used as a guiedline for designing electric vehicle interior sound. ASD system algorithm was developed to implement the designed sound. The vibration sensor was used for generating natural sound, and secondary path was measured to minimize the distortion of the designed signal. The sound that was designed through the ASD algorithm was implemented in the electric vehicle. By comparing the designed sounds, the sound that suits passenger’s taste can be selected.
목차
그림목록표 목록기호설명Abstract제 1 장 서 론1.1 연구 배경1.2 관련 연구제 2 장 엔진차와 전기차의 음질제 3 장 엔진차의 내부 음질 분석 및 음질 요소의 객관화3.1 Booming index3.2 Rumble index3.3 Order decay ratio3.4 Powerful and pleasant index제 4 장 ASD 시스템을 이용한 전기차 내부 음질 설계4.1. 전기차 내부 음질 설계 개요4.2. 전기차 모터의 진동 분석4.3. Real-time order extract using optimal LMS algorithm4.4. Sine signal generator4.5. Secondary path4.6. Algorithm of Active Sound Design system제 5 장 결과 및 적용제 6 장 결론참고문헌
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