| 제목 |
Dimensional Analysis of Ground Vehicle in Extreme Maneuver Scenarios
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| 분야 |
ADAS, AI, Autonomous Vehicles |
| 언어 |
English |
| 저자 |
Yeayoung Park(Pusan National University), Changsun Ahn(Pusan National University) |
| Key Words |
Scaled vehicle · Dimensional analysis · Vehicle dynamics |
| 초록 |
This research proposes a parameter scaling method for dimensional analysis in extreme maneuver scenarios. Scaled vehicle experiments using dimensional analysis offer advantages in terms of test location, driver safety, and cost savings. Previous studies have overlooked the nonlinear effects of tires in dimensional analysis. Two methods are presented: scaling the frictional coefficient between tires and surfaces and virtual scaling of gravitational acceleration through time scaling. The methods were validated using a 1/8 scaled vehicle and the CarSim software program. This research establishes a practical and valid approach to parameter scaling in vehicle dynamics, considering tire nonlinearity and accommodating extreme maneuvers.
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