Objective Vehicle Comfort Verification About Ride Smoothness Based on Psychophysics

2016-36-0196

10/25/2016

Event
25th SAE BRASIL International Congress and Display
Authors Abstract
Content
The purpose of the theme developed in this work is to increase the volume of information related to vehicle evaluation and how human perception can be translated into numbers, thus facilitating the process of definitions, refinement and analysis of its performance.
Based on the discipline of psychophysics, where it is possible to study the relationship between stimulus and sensation and the use of post processing tool known as PSD (Power Spectral Density), post process the acceleration data of inputs perceived by the occupants of the vehicle, when driving in routes considered ergodic. By this, in a summarized way, get to human subjective perception of comfort. This material shows in a conceptual way a sequence of studies that were conducted to make it possible, to generate a performance classification of the subjective vehicle attribute of Smoothness, by processing values of acceleration measured the driver's seat. From previous information was generated a curve of human perception and after this, several vehicles were measured and analyzed by the calculation model described, by this way allowing measure and classify various vehicles, permitting optimize analysis and time.
Activities related to advanced studies / concept can benefit from the studies, since it is possible to conduct measurements and get an impression of comfort behavior in a short time, allowing better characterization of the vehicle in situations that do not allow a detailed analysis by experts and complete data acquisition procedure.
Meta TagsDetails
DOI
https://doi.org/10.4271/2016-36-0196
Citation
Ganzarolli, F., Souza, S., and Dos Santos, J., "Objective Vehicle Comfort Verification About Ride Smoothness Based on Psychophysics," SAE Technical Paper 2016-36-0196, 2016, https://doi.org/10.4271/2016-36-0196.
Additional Details
Publisher
Published
Oct 25, 2016
Product Code
2016-36-0196
Content Type
Technical Paper
Language
English