噪音、振动和粗糙度
噪音(视频)
汽车工业
扭矩
汽车工程
工程类
动力传动系统
数据采集
计算机科学
方位(导航)
降噪
控制工程
数据处理
鉴定(生物学)
噪声控制
机床
信号处理
起落架
噪声测量
主轴承
试验数据
机械工程
作者
Riccardo Nardicchia,Ivan Mauro
摘要
<div class="section abstract"><div class="htmlview paragraph">This paper presents a comprehensive methodology for replicating and quantifying the clicking-noise phenomenon occurring between Generation 3-wheel hub bearings and Constant Velocity Joints (CVJ), particularly in electric vehicles (EVs) where quiet operation makes this noise more noticeable. The study focuses on characterizing the system through contact pressure and distribution measurements, alternating torque tests, and advanced NVH (Noise, Vibration, and Harshness) data processing. The methodology includes detailed descriptions of the physical phenomena, driving conditions generating the noise, and the specific test setup used to simulate real-world conditions. The NVH analysis make use of high-pass filtering techniques to isolate clicking-noise events from background noise, ensuring accurate identification and quantification. Candidate solutions are assessed based on their ability to mitigate clicking noise through the utilization of inherent system components. The results demonstrate significant noise reduction improvements, highlighting the advantages of surface modifications in enhancing contact surface characteristics. This paper provides insights into testing and analysis processes, offering a robust framework for future studies aimed at mitigating NVH issues in automotive applications. The findings underscore the potential of innovative surface treatments in improving the acoustic performance of wheel hub bearing systems, contributing to the development of quieter and more reliable EVs.</div></div>
科研通智能强力驱动
Strongly Powered by AbleSci AI