Active Wake Aerodynamics

主动尾流空气动力学

• 批准号: 2906534
• 金额: --
• 依托单位: Imperial College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2906534
• 关键词: Active; Wake; Aerodynamics

Aerodynamic drag, particularly in the wake behind SUVs, constitutes over one-third of total drag and significantly impacts driving resistance above 70 km/h. The energy expended in overcoming this is wasted; it cannot be recovered by means such as regenerative braking. Reductions in aerodynamic drag therefore translate directly to increasing the range of battery electric vehicles. Aerodynamic drag reductions can be achieved by using deployable aerodynamic devices such as spoilers, diffusers or strakes. Active aerodynamics would be an ambitious attempt to improve the effectiveness of deployable devices for rear wake control with Machine Learning (ML) algorithms. These would choose the deployment position or angle for optimum aerodynamic performance in response to sensing of vehicle driving conditions such as speed, pitch, and yaw angle.

空气动力阻力，特别是suv后面的尾迹，占总阻力的三分之一以上，对70公里/小时以上的行驶阻力有显著影响。为克服这一点而耗费的精力被浪费了；它不能通过再生制动等手段恢复。因此，空气阻力的减少直接转化为电池电动汽车行驶里程的增加。气动阻力的减少可以通过使用可展开的气动装置来实现，比如扰流板、扩散器或挡板。主动空气动力学将是一项雄心勃勃的尝试，旨在通过机器学习（ML）算法提高可部署设备的后尾流控制效率。这些系统将根据对车辆行驶状况（如速度、俯仰和偏航角）的感知，选择最佳气动性能的部署位置或角度。