Objective Drivability Evaluation on Compact SUV and Comparison with Subjective Drivability

Krishnaraj, C.; Rao, N. Bhaskara; Palraj, Suresh; Kurella, Chaitanya; Lebbai, Mohamed noohu

doi:10.4271/2017-26-0153

Cited by 16 publications

(8 citation statements)

References 1 publication

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“…However, their subjective evaluation cannot directly be used in any virtual vehicle dynamics computer simulation and there is a need to correlate the subjective assessment to objective quantities of the vehicle motion. Some studies have found correlations between the total subjective evaluation of drivability at high speed to objective measures [2,30]. Other studies at crosswind facilities have indicated that the vehicle motions; yaw velocity, lateral acceleration and head-rest acceleration (including roll velocity) give the best correlation to the subjective ratings [5,31].…”

Section: Introductionmentioning

confidence: 99%

Quantitative High Speed Stability Assessment of a Sports Utility Vehicle and Classification of Wind Gust Profiles

Brandt

Sebben

Jacobson

et al. 2020

SAE Technical Paper Series

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The automotive trends of vehicles with lower aerodynamic drag and more powerful drivetrains have caused increasing concern regarding stability issues at high speeds, since more streamlined bodies show greater sensitivity to crosswinds. This is especially pronounced for high vehicles, such as sports utility vehicles. Besides, the competitiveness in the automotive industry requires faster development times and, thus, a need to evaluate the high speed stability performance in an early design phase, preferable using simulation tools. The usefulness of these simulation tools partly relies on realistic boundary conditions for the wind and quantitative measures for assessing stability without the subjective evaluation of experienced drivers. This study employs an on-road experimental measurements setup to define relevant wind conditions and to find an objective methodology to evaluate high speed stability. The paper focuses on the events in proximity to the drivers' subjective triggers of instability. Wind direction and magnitude, vehicle motion response, along with the subjective event triggering were measured at different conditions of the natural wind. A statistical approach was utilized to analyze the correlation between the vehicle response and subjective triggers together with the wind conditions. A correlation was established between the subjective triggers and a rapid change in lateral acceleration and yaw velocity response. The paper also proposes a set of four crosswind gust profiles of interest for driving stability, combining results from previous research and the experimental data of the natural wind obtained in this study. These findings can be used as objective measures for virtually assessing stability performance and as realistic boundary conditions for simulating wind gusts.

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Section: Introductionmentioning

confidence: 99%

Quantitative High Speed Stability Assessment of a Sports Utility Vehicle and Classification of Wind Gust Profiles

Brandt

Sebben

Jacobson

et al. 2020

SAE Technical Paper Series

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“…r door = 0:781m, H door = 1:261m, A extractors = 0:004m 2 , A leakage = 0:0063m 2 , u = 45 8 The initial swept air volume, air mass, and the total air exit area are defined as: 36 Automotive sound 40 listeners used Hara et al 37 Door closing sound company employees Lee et al 27 Automotive sound quality 33 luxury automotive club member Chen and Wang 38 Automotive interior sound quality 30 (students/professors/ drivers) Lee 39 Automotive odor evaluation 20-30 interested people Flannagan et al 40 Led headlamps 25 active drivers Tsutsumi et al 41 Cabin comfort and fatigue 15 college aged members Dang et al 32 On-center steering force 15 research staffs Zhai and Conggan 42 Sound quality 24 evaluators Baker et al 43 Sound quality 12 untrained jurors (customers) Isa et al (2014) 44 Vehicle Drivability 4 Expert drivers Hamdi et al ( 2007) 45 Brake rattle noise 3 Expert evaluators Rajesh et al 46 Brake performance 5 Expert drivers Jang et al 47 On-center handling 1 Professional test driver Chandrasekaran et al 48 Drivability 5 Expert drivers Crolla et al 49 Vehicle handling 8 Expert drivers Eduardo 50 Vehicle steering 3 Expert drivers Nybacka et al 33 Vehicle Steering 7-10 Expert drivers Liu et al 51 Vehicle Considering the above calculated initial values and using time interval of Dt = 0:0001 s, the equations ( 6) and ( 7) are solved iteratively until door opening angle is 0 8 and swept air volume V air = 0. The total air binding energy is calculated as E air binde = 8, 61Joule.…”

Section: Air Binding Effect Based On the Below Inputsmentioning

confidence: 99%

Rear boot swing door closing effort: Calculations, objective and subjective evaluations in an LCV model

Altinisik

Bolova

2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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The prediction model for the energy contributors is studied to define the effect of door components. The model is validated by experimental measurements on produced vehicles. The correlation of the control results and the evaluation methods among the representative customers, appraisers and senior experts are performed and compared by objective energy measurements. The subjective evaluation aims to clarify real customer expectations in door closing process and carry it to new product development phase. This will also improve the competency of appraisers in final assembly approval zones. The energy contributors for boot swing door is numerically calculated and validated by experimental measurements in easy and hard-closing doors. Subjective evaluations in 45 vehicles with different closing energies were performed by three different groups as representative customers, appraisers, and senior experts. The results were evaluated by statistical tools. The major energy contributors were found as air binding, seal resistance and check strap both in the calculations and in the experiments. The results demonstrated good correlation between numerical model and objective measurements. Besides, the subjective evaluations showed parallel trends with objective energy measurements. The variation in customer evaluations is more than appraisers and experts. Customers are severer in the evaluations of hard-closing doors and more sensitive in 10° door closing angle. This is a unique study for rear boot swing door closing effort in an LCV model. The study contains both definitions of factors, components that contributes in door closing energy and subjective evaluations to correlate the closing behaviors of representative customers, appraisers, and senior experts. The output of the study would be used to improve the vehicle control plan (VCP) and design standards in new model development phase.

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“…Chandrasekaran et.al. 11 evaluated objective drivability on compact SUV vehicle and compared with subjective drivability. Longitudinal acceleration and CAN bus signals are collected.…”

Section: Introductionmentioning

confidence: 99%

Correlation between objective and subjective tests for vehicle ride comfort evaluations

Böke

Albak

Kaya

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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One of the most important criteria that vehicle customers take into consideration when buying vehicles is ride comfort. Ride comfort is determined in two different ways, called objective and subjective methods. This research presents an approach for subjective and objective evaluations of vehicle ride comfort through road tests. In this study, first, reliable driver evaluation for subjective tests is made and tests are performed with these reliable drivers. Correlation between objective and subjective test results is achieved for different vehicle types and road groups and software is developed to evaluate subjective ride comfort by using objective test data acquired from the vehicle. This software is intended to be used instead of subjective tests in future vehicle development studies.

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Objective Drivability Evaluation on Compact SUV and Comparison with Subjective Drivability

Cited by 16 publications

References 1 publication

Quantitative High Speed Stability Assessment of a Sports Utility Vehicle and Classification of Wind Gust Profiles

Quantitative High Speed Stability Assessment of a Sports Utility Vehicle and Classification of Wind Gust Profiles

Rear boot swing door closing effort: Calculations, objective and subjective evaluations in an LCV model

Correlation between objective and subjective tests for vehicle ride comfort evaluations

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