Affiliation:
1. Politecnico di Milano, Italy
Abstract
<div>Noise, vibration, and harshness (NVH) is a key aspect in the vehicle development.
Reducing noise and vibration to create a comfortable environment is one of the
main objectives in vehicle design. In the literature, many theoretical and
experimental methods have been presented for improving the NVH performances of
vehicles. However, in the great majority of situations, physical prototypes are
still required as NVH is highly dependent on subjective human perception and a
pure computational approach often does not suffice. In this article, driving
simulators are discussed as a tool to reduce the need of physical prototypes
allowing a reduction in development time while providing a deep understanding of
vehicle NVH characteristics. The present article provides a review of the
current development of driving simulator focused on problems, challenges, and
solutions for NVH applications. Starting from the definition of the human
response to noise and vibration, this article describes the different driving
simulator technologies to tackle all the involved perception aspects. The
different available technologies are discussed and compared as to provide design
engineers with a complete picture of the current possibilities and future
trends.</div>
Subject
Control and Optimization,Mechanical Engineering,Automotive Engineering,Computational Mechanics
Reference177 articles.
1. Harrison , M.
Vehicle Refinement: Controlling Noise and Vibration in
Road Vehicles Oxford Elsevier 2004
2. Ewins , D.J.
Modal Testing: Theory, Practice and
Application Baldock, UK John Wiley & Sons 2009
3. Vold , H. and
Deel , J.
Vold-Kalman Order Tracking: New Methods for
Vehicle Sound Quality and Drive-Train NVH Applications SAE Trans. 106 1997 3144 3150
4. Pan , M.-C.
and
Wu , C.-X.
Adaptive Vold–Kalman Filtering Order
Tracking Mech. Syst. Signal Process. 21 8 2007 2957 2969
5. Chiariotti , P. ,
Martarelli , M. ,
and
Castellini , P.
Acoustic Beam-Forming for Noise Source
Localization – Reviews, Methodology and Applications Mech. Syst. Signal Process. 120 2019 422 448
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献