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DBpia AI
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Citeasy
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지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2025.12
- 수록면
- 819 - 822 (4page)
이용수
초록· 키워드
In recent years, the discrepancy between standardized vibration test profiles and actual operating conditions in vehicles has raised concerns about the effectiveness of durability testing for automotive electrical and electronic components. This study aims to address this issue by developing optimized vibration profiles based on in-vehicle acceleration measurements, in alignment with ISO 16750-3:2023.
Triaxial accelerometers were installed on key mounting points of a vehicle—including the engine mount, chassis frame, and suspension module—to record vibration signals under urban, highway, pothole, and speed bump driving conditions. The acquired data were processed using Fast Fourier Transform (FFT) to identify dominant resonance frequencies and fixed tone components, while Power Spectral Density (PSD) analysis was employed to construct Random and Sine-on-Random test profiles.
To accelerate failure detection and reduce test duration, an Accelerated Life Testing (ALT) framework was introduced. This approach involved scaling up the RMS acceleration intensity and applying damage accumulation models such as Miner’s Rule and the Basquin relationship to define equivalent stress–life curves.
The developed profile demonstrated a high correlation with actual field conditions, outperforming the generic Test II and Test V profiles of ISO 16750-3 in predicting early failure modes during component durability validation. This methodology provides a foundation for more realistic and efficient vibration testing strategies, particularly for high-reliability components in electric and hybrid vehicles such as drive motors, inverters, and battery housings.
Triaxial accelerometers were installed on key mounting points of a vehicle—including the engine mount, chassis frame, and suspension module—to record vibration signals under urban, highway, pothole, and speed bump driving conditions. The acquired data were processed using Fast Fourier Transform (FFT) to identify dominant resonance frequencies and fixed tone components, while Power Spectral Density (PSD) analysis was employed to construct Random and Sine-on-Random test profiles.
To accelerate failure detection and reduce test duration, an Accelerated Life Testing (ALT) framework was introduced. This approach involved scaling up the RMS acceleration intensity and applying damage accumulation models such as Miner’s Rule and the Basquin relationship to define equivalent stress–life curves.
The developed profile demonstrated a high correlation with actual field conditions, outperforming the generic Test II and Test V profiles of ISO 16750-3 in predicting early failure modes during component durability validation. This methodology provides a foundation for more realistic and efficient vibration testing strategies, particularly for high-reliability components in electric and hybrid vehicles such as drive motors, inverters, and battery housings.
#ISO 16750-3
#Vibration Test
#ALT
#PSD
#Sine-on-Random
#In-Vehicle Measurement
#Reliability
#Electric Vehicle
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목차
- Abstract
- 1. 서론
- 2. 이론 및 실험
- 3. 결론
- 참고문헌
참고문헌
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