Subjective assessment of vehicle dynamic behaviour using driving simulators for an effective product development
Reference number | |
Coordinator | KUNGLIGA TEKNISKA HÖGSKOLAN - Farkost och Flyg |
Funding from Vinnova | SEK 250 000 |
Project duration | January 2016 - June 2017 |
Status | Completed |
Venture | Personal mobility between societal sectors |
Important results from the project
The use of driving simulators for subjective assessment of vehicle dynamic characteristics, with the purpose of performing model-based development where expert drivers assess virtual vehicle models, have been evaluated. The comparison between subjective assessments in a real vehicle and using validated vehicle models in a driving simulator show a good agreement. The results also demonstrate the possibility of replacing physical tests with virtual simulation methods to improve the efficiency and quality of vehicle dynamics development.
Expected long term effects
The project has contributed with an analysis of models and an increased knowledge of how changes in vehicle dynamics are perceived in a driving simulator compared to real-life tests. The results have also contributed to increased understanding of the driving simulator´s advantages and limitations. Further development of simulator motion algorithms have also been proposed as a step in the development of virtual methods to reduce costs and lead times while improving quality and robustness by enabling earlier evaluation of vehicle behaviour and with larger parameter variations.
Approach and implementation
Experiments where expert drivers have assessed vehicle dynamics of physical vehicles and validated vehicle models in a driving simulator have been studied. An analysis of the relationship between subjective assessments in the real and virtual environment has been performed. Different models have been analysed and comparisons with objective measurement data have been conducted. The motion cueing algorithms of the driving simulator have been studied and proposals for further development of the algorithms to improve the driving experience have been developed.