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.

本研究提出了一种用于极端机动场景下维度分析的参数缩放方法。使用尺寸分析的规模化车辆实验在测试位置、驾驶员安全和节省成本方面具有优势。先前的研究在尺寸分析中忽略了轮胎的非线性效应。提出了两种方法：缩放轮胎和表面之间的摩擦系数以及通过时间缩放来虚拟缩放重力加速度。使用 1/8 比例车辆和 CarSim 软件程序对这些方法进行了验证。这项研究建立了一种实用且有效的车辆动力学参数缩放方法，考虑了轮胎非线性并适应极端操作。