Scenario-Based Analysis of Simulated and Measured Driving Dynamics Data for Steer-by-Wire Road Feedback Generation

Steer-by-Wire is an innovative key enabler for assisted and autonomous driving in intelligent future vehicle platforms. By controlling steering systems electronically without a mechanical link between steering wheel and front axle, one main challenge is the dynamic reproduction of road excitation as steering torque feedback for the driver. In this work, two excitation scenarios are investigated using measured data from a testing vehicle, as well as simulated data from a multibody simulation. The resulting simulations and measurements are compared, and driving dynamic signals are examined for correlation with steering torque and rack force. The chronological sequence of these signals is analyzed, allowing the identification of lateral and vertical driving dynamic signals as promising bases for steering torque feedback generation.

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Publication Details

Published
2025-06-22
DOI
https://doi.org/10.1109/iv64158.2025.11097592
Citations
1
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
0.68
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article

Scenario-Based Analysis of Simulated and Measured Driving Dynamics Data for Steer-by-Wire Road Feedback Generation

Mario Schölzel, Steffen Müller, Frank Förster
1 citations
Vehicle Dynamics and Control Systems
0.68
article

Scenario-Based Analysis of Simulated and Measured Driving Dynamics Data for Steer-by-Wire Road Feedback Generation

Mario Schölzel, Steffen Müller, Frank Förster
article en
1 citations

Abstract

Steer-by-Wire is an innovative key enabler for assisted and autonomous driving in intelligent future vehicle platforms. By controlling steering systems electronically without a mechanical link between steering wheel and front axle, one main challenge is the dynamic reproduction of road excitation as steering torque feedback for the driver. In this work, two excitation scenarios are investigated using measured data from a testing vehicle, as well as simulated data from a multibody simulation. The resulting simulations and measurements are compared, and driving dynamic signals are examined for correlation with steering torque and rack force. The chronological sequence of these signals is analyzed, allowing the identification of lateral and vertical driving dynamic signals as promising bases for steering torque feedback generation.

BMW Group (Germany) (DE), Technische Universität Berlin (DE)
Openalex Percentile: Top 27%
Vehicle Dynamics and Control Systems
0.68
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Scenario-Based Analysis of Simulated and Measured Driving Dynamics Data for Steer-by-Wire Road Feedback Generation — Mario Schölzel, Steffen Müller, et al. · (2025) | TGRS Research Map | TGRS