FROST: Fuel Reduction - Optimal Strategy and Toolbox
Purpose and goal
Although the internal combustion engine is a mature product, and the possibilities for increasing its efficiency are limited, modern control technology and optimal control provide opportunities to reduce greenhouse gas emissions by using optimal control strategies. Especially for hybrid vehicles, with more than one energy converter, it is typically a non-trivial task to determine which control strategy minimizes total energy consumption. This project is about maximizing the benefits of such complex powertrains, through the use of optimal control methods.
Expected results and effects
An online optimizer has been developed, which on board the vehicle develops control strategies for internal combustion engines and hybrid systems. The system is based on model predictive control (Model Predictive Control, MPC) A demonstrator vehicle has been built during the project, with an internal combustion engine, WHR and a hybrid system. Studies of how platooning should be performed to combine advanced driveline control and reduced vehicles to vehicle distanceXX distance for solving optimal control problems made available on the Internet (www.yoptimization.com).
Planned approach and implementation
The project has been carried out as a collaborative project, where participants have been engineers at Scania and doctoral students with supervisors at Linköpings Universitet. Collaborative meetings have been held regularly to exchange information and aliby enginegn research efforts with the industry´s application needs. Work packages 1-3 have been performed primarily by researchers and doctoral students. Work packages 4-6 have been performed primarily at Scania Work packages 7-8 have been performed primarily by researchers and doctoral students at Linköpings Universitet