Reducing Fuel Consumption by Using Information from Connected and Automated Vehicle Modules to Optimize Propulsion System Control 2019-01-1213
As regulatory targets for fuel economy continue to tighten globally, the transportation industry is pursuing a variety of approaches to improve vehicle fuel efficiency, including improvements in the internal combustion engine and an accelerating shift to electrification. A key enabler to maximizing the benefit from these new powertrain technologies is proper systems integration work --- developing optimized controls for the propulsion system as a whole. The next step in the evolution of improving the propulsion management system is to make use of available information not typically associated with the powertrain. Advanced driver assistance systems, vehicle connectivity systems and cloud applications can provide information to a propulsion domain controller that enables Intelligent Driving, which shifts from instantaneous optimization of fuel consumption, to optimization over a route. In the current paper, we present work being done on Intelligent Driving controls as part of a project for the APRA-E NEXTCAR program. We describe the NEXTCAR program objectives, including the mechanization and build of a demonstration vehicle. As the focus is on real-world fuel economy benefits, the criteria for and development of a set of route scenarios to be used in simulation and real-world testing of the Intelligent Driving controls is described. In order to be able to develop the necessary optimization logic, and evaluate the benefits on route scenarios beyond those tested in-vehicle, a simulation model of the vehicle and the optimization controls has been developed and is discussed, including correlation testing results and simulated fuel economy benefits. Finally, initial results from the development vehicle running route scenarios on a test track are presented.
Pete Olin, Karim Aggoune, Li Tang, Keith Confer, John Kirwan, Shreshta Rajakumar Deshpande, Shobhit Gupta, Punit Tulpule, Marcello Canova, Giorgio Rizzoni
Delphi Technologies, Ohio State University