Abstract
Electric power steering (EPS) system is becoming the primary source of Electric Vehicle (EV) noise due to absence of classic power train. The rattle noise produced by EPS, which is easily discernible when driving. Since the conventional subjective evaluation approach makes it difficult to identify the source, it is required to establish an objective way to solve such an issue. In this paper, the principle of multiple coherence method is first addressed analytically, and then is employed to analyze the vibration signal acquisition from EPS different points, meanwhile, combine with in-car sound signal, to accurately identify the specific location.
Highlights
In recent years, with the development of electric vehicle, the background noise during driving has been significantly decreased, resulting in squeak and rattle that are easy to be perceived [1]
As the development of Electric Vehicle (EV) and even the autonomous driving technology advances, is it demanding to improve the performance of Electric power steering (EPS) [2], and P-EPS will be widely used, the identification and location of such unwanted sound source becomes more complicated [3]
For the objective evaluation of the undesired noise of the steering system, Sharma et al [5] analyzed the collected vibration signals of the steering gear under different roads, and combined the FFT analysis method and different filter analysis methods to further identify the specific location of rattle
Summary
With the development of electric vehicle, the background noise during driving has been significantly decreased, resulting in squeak and rattle that are easy to be perceived [1]. From present studies on the rattle noise of the steering system, it can be seen that de Oliveira [1] analyzed the frequency characteristics of the noise of Moan and Hiss. For the objective evaluation of the undesired noise of the steering system, Sharma et al [5] analyzed the collected vibration signals of the steering gear under different roads, and combined the FFT analysis method and different filter analysis methods to further identify the specific location of rattle. This article first attempt to take the advantage of multiple coherence method to investigate the steering system rattle in the state of the whole vehicle. Wądołowski et al [8] used this method to separate the effective signals in the acquisition signal, in order to obtain the required and useful characteristic information
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