Improving the Fuel Economy of Heavy-Duty Vehicles Using Vehicle-to-Vehicle Communication
Gabor Orosz, PhD
Assistant Professor, Mechanical Engineering, U-M College of Engineering
May 2014 – April 2016
Harvey Bell, PhD
Professor of Engineering Practice and Co-Director, Multidisciplinary Design Program
John Woodrooffe, PhD
Research Scientist Emeritus, Vehicle Safety Analysis, U-M Transportation Research Institute
Establish new ways of improving the fuel economy of trucks by exploiting connected vehicle technologies by relying on the optimal use of real-time information available through vehicle-to-vehicle (V2V) communication.
Develop technologies that use a new dynamic optimization that overcomes the difficulties in traditional methods and provides a fast, highly adaptable framework for the dynamic environment provided by ad-hoc V2V communication and the use of android devices for faster turn around times. The technologies will be evaluated via extensive simulations on three different scales, as well as experiments with the help of Navistar to obtain verification.
We have developed the fundamental principles that allow one to optimize the fuel economy of heavy duty vehicles while taking into account grade, wind and traffic information. We also developed a matlab code to carry out real-tim optimization. This shall be translated to lower level codes for on-board implementation.
C. R. He, H. Maurer, and G. Orosz. Fuel consumption optimization of heavy-duty vehicles with grade, wind, traffic information, ASME Journal of Computational and Nonlinear Dynamics, published online, 2016.
C. R. He, W. B. Qin, N. Ozay, and G. Orosz, Hybrid system based analytical approach for optimal gear shifting schedule design, Proceedings of the ASME Dynamic Systems and Control Conference, Paper no. DSCC2015-9943, pp. V003T41A003, ASME, 2015.
C. R. He and G. Orosz, Fuel consumption optimization of heavy-duty vehicles: an analytical approach, Proceedings of the ASME Dynamic Systems and Control Conference, Paper no. DSCC2014-6362, pp. V002T20A006, ASME, 2014.