Links between subjective assessments and objective metrics for steering

Nybacka, Mikael; He, Xuxin; Gómez, Gaspar Gil; Bakker, Egbert; Drugge, Lars

doi:10.1007/s12239-014-0094-7

Cited by 16 publications

(13 citation statements)

References 5 publications

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“…In order to extend the amount of data available from previous studies, [1,2] a new series of test were conducted. The final database comprised 22 drivers and 51 vehicles, including C, D, E and SUV classes.…”

Section: Test Drivers and Test Vehiclesmentioning

confidence: 99%

“…Good and bad performance configurations were required, even error states were included, in order to identify differences between desired and undesired vehicles and to recognise key factors affecting SA. The spread should be larger than in previous studies [1,2] and the complexity of the changes in the vehicles should be limited to off-the-shelf components, and to the feasible time of the experiments. In order to determine the configurations of the vehicles previous CAE simulations would have been desired, but they were not available, a matrix with configurations for the desired vehicle dynamics effects was therefore built, engineering judgement was used to determine which vehicle configuration would produce the expected results, for example, extreme high torque dead-band via high steering ratio plus high steering power assist, narrow tyres and low tyre pressure.…”

Section: Test Drivers and Test Vehiclesmentioning

confidence: 99%

“…DS3 now includes some level 5 and some SA about handling; previous data sets focused on steering. Further information regarding DS1 and DS2 can be found in [1,2]. For all data sets, the evaluations were performed freely by the test drivers on different tracks at a proving ground.…”

Section: Standard Free-driving Extensive Test -Numerical Samentioning

confidence: 99%

“…However, this process would benefit from correlations between OM and SA, as they would allow better target selection and prediction of the expected SA from OM. [1][2][3][4] In the case of CAE OM, this would mean that the performance and driving feel of the vehicles could be optimised without the need for physical prototypes. MBDS permits SA of virtual vehicles, that is, test drivers can evaluate virtual vehicles before they even exist as real cars.…”

Section: Introductionmentioning

confidence: 99%

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Findings from subjective evaluations and driver ratings of vehicle dynamics: steering and handling

Gómez

Nybacka

Bakker

et al. 2015

Vehicle System Dynamics

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This paper investigates subjective assessments (SA) of vehicle handling and steering feel tests, both numerical and verbal, to understand drivers' use of judgement scales, rating tendencies and spread. Two different test methods are compared: a short multi-vehicle first-impression test with predefineddriving vs the standard extensive single-vehicle free-driving tests, both offering very similar results but with the former saving substantial testing time. Rating repeatability is evaluated by means of a blind test. Key SA questions are identified by numerical subjective assessment autocorrelations and by generating word clouds from the most used terms in verbal assessments, with both methods leading to similar key parameters. The results exposed in this paper enable better understanding of SA, allowing improving the overall subjective testing and evaluation process, and improving the data collection and analysis process needed before identifying correlations between SA and objective metrics.

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Section: Test Drivers and Test Vehiclesmentioning

confidence: 99%

Section: Test Drivers and Test Vehiclesmentioning

confidence: 99%

Section: Standard Free-driving Extensive Test -Numerical Samentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Findings from subjective evaluations and driver ratings of vehicle dynamics: steering and handling

Gómez

Nybacka

Bakker

et al. 2015

Vehicle System Dynamics

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“…Especially the objective evaluation of the oncentre handling range is in large parts unexplored. Lately several papers have been published on this topic and the importance of the on-centre handling became more recognized (Xu and Ahmadian, 2013;Harrer and Porsche, 2008;Kim and Kim, 2008;Mouri et al, 2007;Pfeffer, 2006;Badawy et al, 1999;Engels, 1994;Nybacka et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Vehicle and steering system dynamics in the context of on-centre handling

Ende

Küçükay

Henze

et al. 2015

Int.J Automot. Technol.

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The interaction of the vehicle and steering system is important to evaluate the vehicle on-centre handling. To analyse the vehicle and steering system dynamics at small steering wheel angle inputs a methodological approach to validate a simulation model is developed in this paper. The presented model is focused on the description of the major on-centre handling phenomena and characteristics. For the validation of the model adjusted test manouevres and a certain procedure to achieve highly reproducible measurement data are described. Due to the collected measurement data it is possible to describe the vehicle on-centre behaviour and to validate the overall model in a phased manner and more exactly. The results show the importance of the steering system characteristics and its influence on the on-centre handling regarding small steering wheel angles at low frequencies. Next to the steering system friction and elasticity the influence of the vehicle and steering system hysteresis loop is presented.

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