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Virtual Car Sound Synthesis Technique for Brand Sound Design of Hybrid and Electric Vehicles

机译:混合动力和电动汽车品牌声音设计虚拟车合成技术

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One of the practical consequences of the development of low CO_2 emission cars is that many of the traditional NVH sound engineering processes no longer apply and must be revisited. Different and new sound sources, new constraints on vehicle body design (e.g., due to weight) and new sound perception characteristics make that the NVH knowledge built on generations of internal combustion-powered vehicles cannot be simply transferred to Hybrid and Electric Vehicles (HEV). Hence, the applicability of tools must be reviewed and extensions need to be developed where necessary. This paper focuses on sound synthesis tools as developed for ICE-powered vehicles. Because of the missing masking effect and the missing intake and exhaust noise of the Internal Combustion Engine (ICE) in electric vehicles, on one hand electric vehicles are quieter than traditional vehicles. On the other hand, other components such as HVAC system, alternator, vacuum pump, power-steering pump, cooling systems, transmission systems, inverter noise, etc., become more important and generate new complex sound signatures. Typically, their interior noise is well-defined by high-frequency noise components which can be subjectively experienced as annoying, hence the increased importance put to sound quality aspects and perceptual-relevant NVH studies. In the paper, a Virtual Car Sound (VCS) synthesis technique for HEV is designed. This approach turns out to be a very helpful engineering tool to design a brand specific sound and allows reproducing typical sound features of HEV during real-time driving simulation based on a Sound Quality Equivalent Model (SQE). Several SQE models were constructed for different powertrains of HEV in various engine conditions. Finally, the results of the sound metrics and listening tests indicate a comparison between the synthesized sounds and the original sound recordings.
机译:低CO_2排放汽车发展的实际后果之一是许多传统的NVH音响工程流程不再适用,必须重新审视。不同的和新的声源,车身设计的新约束(例如,由于重量)和新的声音感知特性使得基于几代内燃动力车辆的NVH知识不能简单地转移到混合动力和电动车辆(HEV) 。因此,必须审查工具的适用性,需要在必要时制定扩展。本文侧重于为冰动力车辆开发的声音合成工具。由于缺失的遮蔽效果和电动车内燃机(冰)的缺失的进气和排气噪声,一方面电动车比传统车辆更安静。另一方面,其他组件,如HVAC系统,交流发电机,真空泵,动力转向泵,冷却系统,传动系统,逆变器噪声等,变得更加重要,并产生新的复杂声音签名。通常,它们的内部噪声由高频噪声分量明确定义,该高频噪声分量可以是主观经历的烦人,因此增加了对音质方面和感知相关的NVH研究的重要性。在本文中,设计了HEV的虚拟汽车声音(VCS)合成技术。这种方法结果是设计品牌特定声音的非常有用的工程工具,并允许在基于音质等效模型(SQE)的实时驾驶仿真期间再现HEV的典型声音功能。在各种发动机条件下为HEV的不同电力构建了几种SQE模型。最后,声音指标和听力测试的结果表明合成声音与原始录音之间的比较。

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