About the Project
The holistic user-centric approach
EFFEREST will develop user-centric design solutions and control functionalities for making EVs more affordable, energy-efficient, comfortable, safe, and tailored to the individual user needs. Novel indicators will be identified that more accurately and holistically represent the potential impact that such technical improvements have on user experience. This will help to derive development targets which balance user benefits and engineering effort.
AI-enhanced system design and operation
A co-design framework for the energy management system control architecture will be implemented based on adaptive digital twins, which will be derived from high-fidelity physics-based simulation models and specific measurements with the help of AI and machine learning (ML) techniques. The system of interacting digital twins allows for model-based optimization for component rightsizing and the development of an integrated predictive model-based control for the combined system of powertrain thermal management and cabin comfort system. The EFFEREST combined vehicle control system will adapt to user specific characteristics and preferences during operation to further improve the overall efficiency and user acceptance.
Demonstration of the results
EFFEREST will demonstrate its achievements in a series vehicle, which is specifically modified during the project and tested on test benches as well as under realistic driving conditions. In addition, virtual demonstrators will be used in a complementing way to assess EFFEREST developments in an extensive set of scenarios, representing the realistic vehicle usage in the EU. To derive those relevant testing scenarios real fleet data from different sources is analyzed and characteristic vehicle use-cases are derived during the project, which allows for the estimation of the effective impact of EFFEREST on the overall reduction of the vehicles CO2 footprint.