Grant: Idea to Innovation

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.