One of the main reasons for increased emissions in real-world-driving are the significantly higher dynamic parts in comparison to the current legislative homologation cycles. Modern emissions optimized engine control algorithms require an accurate prediction of the driving profile. Optimal utilization of complex exhaust after treatment system is still challenging due to a lack of prediction information. At the same time, the number of environment sensors and the networking level of the vehicle with its environment (V2X), caused by security und comfort functions, is continuously rising.
The goal of the project is to make these information and networking opportunities accessible for complex engine control algorithms. Connected and predictive engine control units allow the optimization of fuel consumption and emission in real world driving conditions.Copyright: © RWTH Aachen | VKA