Prediction and Improvement of Structure-Borne and Airborne Whines of an Electric Vehicle for Virtual Development

Author:

Yoo Ji Woo1,Chae Ki-Sang1,Choi JaeHyuk1,Kim Myunggyu1,Cho Seunghyeon1,Coster Christophe2,Van Gils Anneleen2

Affiliation:

1. Hyundai Motor Company

2. Siemens Product Lifecycle Management Software

Abstract

<div class="section abstract"><div class="htmlview paragraph">Many sources and paths cause interior cabin noise. Some noise from an electric vehicle is unique and different from a vehicle with an internal combustion engine. Especially, whine noise occurs due to the particular orders of the electromagnetic force of an electric motor and transmission gears, which is tonal and usually reaches high frequencies. This paper covers structure-borne (SB) and airborne (AB) aspects to estimate whine, and the difference between the two characteristics is distinguished. The focus lies mainly on the process of virtual vehicle development and application for performance improvement. First, to predict SB whine, an e-powertrain is modeled as a finite element model (FEM), and electromagnetic (EM) forces are calculated. A vehicle model is also modeled as an FEM, in which interior sound packages are carefully modeled as they play an important role in the medium-frequency region. The e-powertrain and vehicle models (being simulated separately) are combined to obtain cabin noise up to 1.5 kHz. Design studies show that the stiffness of mount insulators and the panel stiffness of the vehicle can be substantial design variables to reduce the SB whine. Second, the study highlights a simulation method to predict interior airborne whine up to 8 kHz by combining the FEMs of the e-powertrain and the vehicle’s exterior cavity with a statistical energy analysis (SEA) model of a vehicle. Path contribution can be identified by defining source strength and acoustic transfer function of airborne paths. Design modifications, including encapsulation of the e-powertrain, show this simulation process could be practically useful to reduce the airborne whine at high frequencies.</div></div>

Publisher

SAE International

Reference18 articles.

1. Govindswamy , K. and Eisele , G. Sound Character of Electric Vehicles SAE Technical Paper 2011-01-1728 2011 https://doi.org/10.4271/2011-01-1728

2. Prakash , V. , Sauvage , O. , Gagliardini , L. , and Antoni , J. Probabilistic Metamodels to Quantify Uncertainties in Electric Powertrain Whining Noise Contribution SAE Technical Paper 2023-01-1071 2023 https://doi.org/10.4271/2023-01-1071

3. Harris , O. , Langlois , P. , and Gale , A. Electric Vehicle Whine Noise - Gear Blank Tuning as an Optimization Option Gear Technology 2019 64 73

4. de Walque , C. and Jamaluddin , R. Vibro-Acoustic Study of a Full Vehicle Excited by an Electric Motor: Structure-Borne and Air-Borne Noise Comparison SAE Technical Paper 2023-01-1112 2023 https://doi.org/10.4271/2023-01-1112

5. Stelzer , R. , Delpero , T. , and D’Amico , R. Assessment of the Potential of Trim Parts to Reduce Structure-Borne Noise in the Interior of Vehicles 28th International Conference on Noise and Vibration Engineering, ISMA 2018 and 7th International Conference on Uncertainty in Structural Dynamics Leuven, Belgium 2018 4343 4357

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3