Prediction of Drivers' Subjective Evaluation of Vehicle Reaction Under Aerodynamic Excitations.

driver-vehicle interaction driving simulator subjective evaluation unsteady aerodynamics vehicle stability

Journal

Human factors
ISSN: 1547-8181
Titre abrégé: Hum Factors
Pays: United States
ID NLM: 0374660

Informations de publication

Date de publication:
May 2024
Historique:
medline: 18 3 2024
pubmed: 22 2 2023
entrez: 21 2 2023
Statut: ppublish

Résumé

The objectives are to determine which quantities are important to measure to determine how drivers perceive vehicle stability, and to develop a regression model to predict which induced external disturbances drivers are able to feel. Driver experience of a vehicle's dynamic performance is important to auto manufacturers. Test engineers and test drivers perform several on-road assessments to evaluate the vehicle's dynamic performance before sign-off for production. The presence of external disturbances such as aerodynamic forces and moments play a significant role in the overall vehicle assessment. As a result, it is important to understand the relation between the subjective experience of the drivers and these external disturbances acting on the vehicle. A sequence of external yaw and roll moment disturbances of varying amplitudes and frequencies is added to a straight-line high-speed stability simulation test in a driving simulator. The tests are performed with both common and professional test drivers, and their evaluations to these external disturbances are recorded. The sampled data from these tests are used to generate the needed regression model. A model is derived for predicting which disturbances drivers can feel. It quantifies difference in sensitivity between driver types and between yaw and roll disturbances. The model shows a relationship between steering input and driver sensitivity to external disturbances in a straight-line drive. Drivers are more sensitive to yaw disturbance than roll disturbance and increased steering input lowers sensitivity. Identify the threshold above which unexpected disturbances such as aerodynamic excitations can potentially create unstable vehicle behaviour.

Sections du résumé

OBJECTIVE OBJECTIVE
The objectives are to determine which quantities are important to measure to determine how drivers perceive vehicle stability, and to develop a regression model to predict which induced external disturbances drivers are able to feel.
BACKGROUND BACKGROUND
Driver experience of a vehicle's dynamic performance is important to auto manufacturers. Test engineers and test drivers perform several on-road assessments to evaluate the vehicle's dynamic performance before sign-off for production. The presence of external disturbances such as aerodynamic forces and moments play a significant role in the overall vehicle assessment. As a result, it is important to understand the relation between the subjective experience of the drivers and these external disturbances acting on the vehicle.
METHOD METHODS
A sequence of external yaw and roll moment disturbances of varying amplitudes and frequencies is added to a straight-line high-speed stability simulation test in a driving simulator. The tests are performed with both common and professional test drivers, and their evaluations to these external disturbances are recorded. The sampled data from these tests are used to generate the needed regression model.
RESULTS RESULTS
A model is derived for predicting which disturbances drivers can feel. It quantifies difference in sensitivity between driver types and between yaw and roll disturbances.
CONCLUSION CONCLUSIONS
The model shows a relationship between steering input and driver sensitivity to external disturbances in a straight-line drive. Drivers are more sensitive to yaw disturbance than roll disturbance and increased steering input lowers sensitivity.
APPLICATION CONCLUSIONS
Identify the threshold above which unexpected disturbances such as aerodynamic excitations can potentially create unstable vehicle behaviour.

Identifiants

pubmed: 36802954
doi: 10.1177/00187208231157935
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1600-1615

Auteurs

Arun Kumar (A)

Department of Mechanics and Maritime Sciences, Chalmers University of Technology, Göteborg, Sweden.
Volvo Cars Corporation, Göteborg, Sweden.

Erik Sällström (E)

Volvo Cars Corporation, Göteborg, Sweden.

Simone Sebben (S)

Department of Mechanics and Martime Sciences, Chalmers University of Technology, Göteborg, Sweden.

Bengt Jacobson (B)

Department of Mechanics and Martime Sciences, Chalmers University of Technology, Göteborg, Sweden.

Kaveh Amiri (K)

Volvo Cars Corporation, Göteborg, Sweden.

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