Connected MobilityCopyright: © RWTH Aachen | TME
Present trends in the automotive industry focus on connected mobility, therefore the interaction between the vehicle and the environment. Beside Comfort- and Safety- Functions there are also significant improvements of fuel consumption and emissions to achieve. Research and Development of modern powertrains, which communicates with the environment, are requires innovative methods and the involvement of environment data at an early stage of the Research Process.
Center for Mobile Propulsion
Through the available infrastructure of the Center for Mobile Propulsion and the Chair of Thermodynamics of Mobile Energy Conversion Systems of RWTH Aachen University, arises an optimal framework condition for Research the powertrain in an networked environment. An early and effectively testing of subcomponents from the powertrain is under reproducible conditions of the networked vehicle possible.
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Connected vehicle and intelligent infrastructure offer a high potential for improvement of the powertrain efficiency. In the joint research project “Hy-Nets” a novel approach for realtime coupling of hybrid propulsions on a test bench to an environmental simulation of the vehicles incl. car2car communication is developed.
The goal of the project “Net-ECU” is to enable the use of connected vehicle information for complex engine control algorithms. Connected and predictive engine control units allow the optimization of fuel consumption and emission in real world driving conditions while improving drivability and transient behavior at the same time.
Fuel economy is a key aspect to reduce operating costs and improve efficiency of freight traffic, thus increasing truck competitiveness. Under the coordination of AVL, the main objective of the IMPERIUM project is to achieve fuel consumption reduction up to 20% (diesel and urea) whilst keeping the vehicle within the legal limits for pollutant emissions.
The follow-up project "STEP - Smart Traffic Eco Powertrain" aims to extend the promising approaches of the previous project "NET-ECU - Networked Engine Control" and to test these in real traffic situations. The previously developed OCT will be extended by additional interfaces for further sensors so that vehicles which are not equipped with V2X can also be detected by using radar, lidar and camera. In addition, the software will be extended so that additional traffic information sources can be used. The previously developed algorithms for reducing emissions will be supplemented in such a way, that energy requirements will also be reduced. These algorithms will then be transferred to electrified drive trains.
A Simulation-Based Case Study for Powertrain Efficiency Improvement by Automated Driving Functions
Energy optimized driving strategy in consideration of traffic participants at intersections without traffic lights