How do driving modes affect the vehicle’s dynamic behaviour? Comparing Renault’s Multi-Sense sport and comfort modes during on-road naturalistic driving

Journal Article (2019)
Author(s)

T. Melman (ENSTA Paris, Group Renault, TU Delft - Human-Robot Interaction)

Joost C.F.De Winter (TU Delft - Human-Robot Interaction)

Xavier Mouton (Group Renault)

Adriana Tapus (ENSTA Paris)

D. A. Abbink (TU Delft - Human-Robot Interaction)

Research Group
Human-Robot Interaction
Copyright
© 2019 T. Melman, J.C.F. de Winter, Xavier Mouton, Adriana Tapus, D.A. Abbink
DOI related publication
https://doi.org/10.1080/00423114.2019.1693049
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 T. Melman, J.C.F. de Winter, Xavier Mouton, Adriana Tapus, D.A. Abbink
Related content
Research Group
Human-Robot Interaction
Volume number
59 (2021)
Pages (from-to)
485-503
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Abstract

Several modern vehicles provide the option to select a driving mode. However, the literature contains no empirical studies that investigate how driving modes affect the vehicle's dynamic behaviour in regular on-road driving. We examined for which CAN-bus signals the differences between Renault's Multi-Sense® comfort and sport modes are most apparent. We gathered data on a 26.3 km route containing a rural and highway section. A single person drove the route four times in comfort mode and four times in sport mode. By statistically analysing and ordering 887 CAN-bus signals, we found strong differences between the two modes for rear-wheel angle, engine torque, longitudinal acceleration, and vertical motion. Parameter identification of a quarter car model identified a 3.5 times higher damping coefficient for the sport mode compared to the comfort mode. Due to four wheel steering, compared to the comfort mode, the sport mode yielded a higher lateral acceleration and yaw rate for a given steering wheel angle and driving speed. In conclusion, this study provides quantitative insight into the extent to which the Multi-Sense driving modes impact the vehicle's lateral, longitudinal, and vertical dynamic behaviour. The results and the analysis methods help guide future driving mode designs.