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Improving Underbody Wind Noise Transmission of Electric Vehicles Using Simulation

机译:使用模拟改善电动车辆的堤坝风噪声传输

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Interior noise at cruising conditions is important for all passenger vehicles. Excessive background noise levels can cause fatigue among passengers by forcing raised conversation levels. In addition, reduced accuracy of voice commands for infotainment systems can be annoying. At freeway cruising speeds, wind noise is a dominant source of interior noise, with a major portion of fluctuating pressure entering the cabin through underbody panels. While electric vehicles may be able to locate their battery packs to attenuate some of the underbody wind noise transmission, it is difficult to treat all underbody panels with equal effectiveness. This study analyzes underbody wind noise from a typical SUV-shaped vehicle through simulation. Transient, compressible CFD using the Lattice-Boltzmann Method is coupled with a Statistical Energy Analysis structural acoustic vehicle model to predict panel contributions to interior wind noise. Sources of exterior flow noise are visualized to highlight key paths. Strategies to distribute battery and sound package attenuation are demonstrated to control underbody wind noise transmission while constraining added mass that would reduce range.
机译:巡航条件下的内部噪音对所有乘用车都很重要。通过强制升起的会话水平,乘客可能会导致乘客的疲劳过多。此外,减少信息娱乐系统的语音命令的准确性可能会令人讨厌。在高速公路巡航速度下,风噪声是内部噪音的主要源,主要部分波动压力通过底板进入机舱。虽然电动车辆可以定位其电池组以衰减一些底部风噪声传输,但难以以平等的有效性对待所有底板。本研究通过模拟分析了典型的SUV形车辆的堤坝风噪声。瞬态,使用Lattice-Boltzmann方法的可压缩CFD与统计能量分析结构声学车辆模型相结合,以预测内部风噪声的面板贡献。外部流动噪声的来源被可视化以突出显示关键路径。分配电池和声音封装衰减的策略被证明是控制底层风噪声传输,同时约束增加的质量减少范围。

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