Research creates knowledge for the benefit of our customers

In this project's work package XRG, who is a developer of the succesful ClaRa+ 

model library, will elaborate general methods to derive numerical efficient digital twins from physically described power plant processes and use cases.

This future workflow is going to enable a data-driven calibration of pysical models and the replacement of model parts through said models. Afterwards the workflow will be integrated into ClaRa+ Library allowing a combination of physical and surrogate models.

PARTNER

The following german institutions are partnering in this joined project:

• ABB AG, Cottbus,
• LEAG Kraftwerke AG, Cottbus,
• Hochschule Zittau/Görlitz, Zittau,
• EMIS Electrics GmbH, Lübbenau/Spreewald,
• CombTec GmbH, Zittau.

Research Funding

The research project DIZPROVI is supported by the Federal Ministry of Education and Research (number 03WIR0105E) and runs from Mai 2021 to April 2023.

The vehicle of the future is “smart”. It is expected that a vehicle can react flexible on changes of its environment and make decisions independently in order to optimally adapt to changing boundary conditions. This requires a high degree of "self-awareness", i.e. the ability to predict the effects of its own behavior in interaction with the environment. Thus, creating such models of vehicle and environment quickly, cost-effectively and in consideration of fidelity and performance is a key competence. Classic model-based approaches are often associated with high development costs. Advances in artificial intelligence open up new options, but are data-intensive and involve other risks. In this project, hybrid (data and physics-based) approaches are to be evaluated in concrete applications in order to be able to generate scalable “proper models” in a data-efficient manner using existing physical knowledge. In future, this will make it possible to develop innovative product properties in a significantly shorter time and to implement them in vehicles.

In this project, XRG provides a physical vehicle cabin model from which a real-time capable model is to be derived. The accelerated model offers a wide range of possible uses in HiL applications and enables the relevant model information to be transferred to control hardware. At the same time, it opens up the possibility of significantly accelerating conceptual optimization. XRG will develop methods with its project partners and then implement them as a prototype extension for the XRG software SCORE. The developed routines form the basis for the final demonstration of the creation of a proper model taking into account several different tool chains.

PARTNER

The following german institutions are partnering in this joined project:

• Robert Bosch GmbH, Stuttgart,
• Universität Augsburg, Augsburg,
• Technische Universität Braunschweig, Braunschweig,
• Fachhochschule Bielefeld, Bielefeld,
• TLK-Thermo GmbH, Braunschweig,
• ESI ITI GmbH, Dresden,
• LTX Simulation GmbH, München,
• Modelon Deutschland GmbH, Hamburg.

Research Funding

The research project PHyMoS is supported by the Federal Ministry of Economic Affairs and Energy (number 19I20022F) and runs from March 2021 to February 2024.