Prediction of the Subjective Impression of Passenger Car Roll Dynamics on the Driver Based on Frequency-Domain Characteristic Values

TL;DR

This study develops models to predict drivers' subjective impressions of vehicle roll dynamics from measurable frequency-domain parameters, aiding early-stage vehicle design assessments.

Contribution

Introduces a method to predict subjective passenger perceptions of vehicle roll behavior using frequency-domain characteristic values, validated across multiple vehicle variants.

Findings

Successful prediction of subjective ratings from objective data

Validated models across different vehicle configurations

Enhanced understanding of perception-dynamics relationship

Abstract

Characteristic values are essential for the design and assessment of driving dynamics during the early stages of the development process of passenger cars. Compared to other aspects of vehicle dynamics however, the relationship between measurable parameters and the subjective perception of vehicle roll dynamics has not been researched extensively. In this paper, a study is presented in which several variants of a vehicle with an electronically controlled suspension were rated by test subjects regarding its roll dynamics and measured in a standardized driving manoeuvre. The resulting subjective ratings and objective characteristic values are then used to derive models to predict the subjective liking of several roll dynamics aspects based on objective frequency-domain parameters. Finally, the resulting prediction models are validated using measurements of additional vehicles.