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Evaluation of vehicle platooning aerodynamics using bluff body wake generators and CFD

机译:使用钝体尾流发生器和CFD评估车辆排队空气动力学

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摘要

Recent developments in sensing and communications between vehicles (V2V) and their surroundings have provided the technology to allow cars to operate autonomously or semi-autonomously in closely spaced `platoon' formation without the risk of collision. This is known to reduce the aerodynamic drag and thus consequently limits the energy consumption and associated emissions. Although wind tunnel investigations have been performed to mimic platoon operations, most experimental evaluations of multiple vehicles in platoon are severely compromised by the restricted length of the wind tunnel test section. Therefore, the model scale must be reduced which decreases the measurement accuracy. The innovative solution presented here is to reproduce the flow structure that is created by a leading road car through the use of a `bluff-body wake generator' with a much reduced length which eliminates the need to decrease the scale of the following test model. Validated computational fluid dynamics (CFD) data and analysis are presented to evaluate an optimized design of a wake generator based on the Ahmed model [1] and the effect of inter-vehicle spacing on the aerodynamic characteristics of the following vehicle. It is shown that accurate reproduction of the wake is possible at half the characteristic length, thus correctly determining the flow impact on the downstream model. This demonstrates that the bluff body wake generator provides a reliable approach that allows platooning studies to be performed without sacrificing aerodynamic resolution.
机译:最近在车辆(V2V)和周围环境之间的传感和通信的最新发展已经提供了技术,以便汽车在没有碰撞风险的情况下以紧密间隔的“排”形成自主或半自动地操作。已知这将减少空气动力学阻力,因此因此限制了能量消耗和相关的排放。虽然已经进行了风洞调查对模仿排运行,但是在排风隧道试验部分的限制长度的限制长度严重地损害了多辆车的大多数实验评估。因此,必须减少模型刻度,这降低了测量精度。这里提出的创新解决方案是通过使用具有大大减小的长度的“诈唬身体唤醒发生器”来重现由前导道路汽车产生的流动结构,这消除了降低以下测试模型的比例的需要。验证的计算流体动力学(CFD)数据和分析以基于AHMED型号[1]评估唤醒发生器的优化设计,以及车辆间距对以下车辆的空气动力学特性的影响。结果表明,唤醒的精确再现在特征长度的一半,从而正确地确定对下游模型的流动影响。这表明虚张声体唤醒发生器提供可靠的方法,可以在不牺牲空气动力学分辨率的情况下进行分列研究。

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