I2I Phase I: Testing of real-time aerodynamics sensor system under realistic conditions

I2I第一阶段：在真实条件下测试实时空气动力学传感器系统

• 批准号: 567659-2021
• 负责人: Rival, David
• 金额: $ 9.11万
• 依托单位: Queen's University
• 依托单位国家: 加拿大
• 项目类别: Idea to Innovation
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=728675
• 关键词: I2I; Phase; Testing; real; time

This project is focused on the development of a real-time aerodynamic drag monitoring/feedback system for heavy-duty vehicles (HDVs) that will result in reduced fuel consumption and greenhouse gas emissions. The system consists of a network of wireless pressure sensors, placed on the HDV's cab surface, and network algorithms that, together with a pre-trained data-driven algorithm, estimate the aerodynamic state of the HDV. This system will enable the driver (or an autonomous driving systems) to optimize the HDV's position relative to other vehicles and reduce the aerodynamic drag. In order to develop a minimum viable product we are undertaking a series of lab and field experiments to determine the optimal position of the pressure sensors and optimize our algorithms, which map the pressure measurements to the actual drag. In parallel, an existing prototype of a wireless pressure sensor will be optimized in terms of size and production costs and a mobile app, which communicates with the HDV's driver in a safe and efficient manner, will be programmed. Final reporting on the development will be undertaken at the end of the project to ensure smooth transition into the next level of product development.

该项目的重点是为重型车辆（HDV）开发一个实时空气动力学阻力监测/反馈系统，从而减少燃料消耗和温室气体排放。该系统由放置在HDV驾驶室表面的无线压力传感器网络和网络算法组成，该网络算法与预先训练的数据驱动算法一起估计HDV的空气动力学状态。该系统将使驾驶员（或自动驾驶系统）能够优化HDV相对于其他车辆的位置并减少空气动力学阻力。为了开发最小可行产品，我们正在进行一系列实验室和现场实验，以确定压力传感器的最佳位置，并优化我们的算法，将压力测量值映射到实际阻力。与此同时，现有的无线压力传感器原型将在尺寸和生产成本方面进行优化，并将编写一个移动的应用程序，该应用程序将以安全有效的方式与HDV的驾驶员进行通信。开发的最终报告将在项目结束时进行，以确保顺利过渡到下一阶段的产品开发。