Fuel Economy Optimization of Heavy-duty Vehicles using Connected Vehicle Technology
Gabor Orosz, PhD
Assistant Professor, Mechanical Engineering, College of Engineering
May 2016 – April 2018
Harvey Bell, PhD
Clinical Professor, U-M College of Engineering
Graduate Student Instructor and Graduate Student Research Assistant, Mechanical Engineering, College of Engineering
The research objective of this proposal is to establish new ways of improving the fuel economy of trucks by exploiting connected vehicle technologies. Instead of focusing on redesigning the engine characteristics, our tools rely on optimal use of real-time information available via DSRC.
We will use vehicle-to-vehicle communication in order to map up the neighborhood of the heavy- duty vehicle within a few hundred meters and use network-based optimization techniques to use this information in an optimal way.
- Developed a systematic method that allows one to tune V2X-based controllers to different traffic scenarios while responding to the motion of multiple human-driven vehicles ahead
- Design of an optimal gear shift schedule for automated vehicles with a hybrid system based analytical approach
- Save on fuel by using wireless vehicle-to-vehicle communication