一个强大的错误检测策略,用于汽车内的全球主动噪声控制
Shuping Wang1, Pengju Zhang1, Ziyi Yang1
1Key Laboratory of Modern Acoustics and Institute of Acoustics, Nanjing University, 22 Hankou Road, Nanjing 210093, China.
The Journal of the Acoustical Society of America
|December 9, 2024
概括
电动汽车的新型全球主动噪声控制 (ANC) 系统采用了强大的错误检测策略. 该系统有效地降低了机噪声,在实时实验中平均减少3.8dB.
科学领域:
- 汽车工程 汽车工程
- 声学 声学 在声学上.
- 控制系统 控制系统
背景情况:
- 全球主动噪声控制 (ANC) 系统为全面的客噪声降低提供了潜力,但面临着实施挑战.
- 现有的ANC系统通常在头部运动和现实世界的应用方面难以保持稳定性.
研究的目的:
- 为电动汽车的可行全球ANC系统提出和验证一个强大的错误检测策略.
- 通过模拟和实时实验来证明拟议战略的有效性.
主要方法:
- 使用均分布的错误传感器开发一个强大的错误检测策略.
- 使用测量的道路噪声数据进行模拟,以分析不同车速的策略性能.
- 在使用标准汽车音频扬声器的5座A级车中进行实时ANC实验.
主要成果:
- 模拟证实,均分布的错误传感器为各种汽车速度提供了强大的策略.
- 发现3dB总控制的上限频率与传感器间距相反比例.
- 在实时实验中,在50和250赫兹之间,平均降低了3.8dB的噪音.
结论:
- 拟议的全球ANC系统具有强大的错误检测策略,对电动汽车车有效.
- 研究结果为驾驶内的噪音控制设定了一个基准,并建议将虚拟传感纳入,以提高实用性.
- 该研究为未来的优化和自适应算法在汽车ANC中的实施提供了基础.
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