The Bielefeld University of Applied Sciences and Arts, with its research and development focus on Applied Mathematical Modeling and Optimization (AMMO) of the Department of Engineering and Mathematics participates in the project. The research focus AMMO has a broad spectrum of experience in the field of symbolic and numerical treatment of differential-algebraic systems of equations and their applications in the Modelica environments.
Technische Universität Braunschweig
The Technical University of Braunschweig is represented in the project by the Institute of Thermodynamics (IfT). As part of the project, the IfT provides support through its expertise in the field of simulation technology, especially in the modelling of thermal systems and in the methodology for model order reduction. The use cases of the derived “proper models” range from the design/optimization of thermal systems to real-time analysis.
The University of Augsburg is represented in the project by the Chair of Mechatronics as part of the Faculty of Applied Computer Science. The main focus of its research lies within AI-assisted simulation, especially Hybrid Models and AI-based extrapolation. As a result, advancing these techniques enables AI-enhanced digital twins.
ESI Germany GmbH
Founded in 1973, ESI Group envisions a world where Industry commits to bold outcomes, addressing high-stakes concerns - environmental impact, safety & comfort for consumers and workers, and adaptable and sustainable business models. ESI provides reliable and customized solutions anchored on predictive physics modeling and virtual prototyping expertise to allow industries to make the right decisions at the right time while managing their complexity. Acting principally in automotive & land transportation, aerospace, defense & naval and heavy industry, ESI is present in more than 18 countries, employs about 1,000 people around the world, and reported 2022 sales of €130 million. ESI is headquartered in France and is listed in compartment B of Euronext Paris. For further information, go to: esi-group.com.
LTX Simulation GmbH
As an engineering company for system simulation based in Munich, LTX supports its customers in the development of Modelica models. Together with partner companies TLK-Thermo and XRG, we focus on thermal energy systems. LTX supports its customers in selecting the right system simulation solutions based on Modelica, FMI and Dymola. One goal is to efficiently combine existing Modelica models with machine learning methods.
Modelon Deutschland GmbH
Modelon is a leading provider of model libraries and simulation tools. Based on Modelica’s open-standard technology, the component libraries developed for industry domains such as energy, automotive and aerospace offer an easily extendable toolbox of physical models. Modelon’s web-based platform Modelon Impact enables development of new technology and complex systems through transient and steady-state simulations and optimization.
Robert Bosch GmbH
The Robert Bosch Group is leading supplier of technologies and services. As Tier 1 automotive supplier the application of model-based approaches and simulation techniques plays a central role in the product and software development.
TLK-Thermo GmbH combines in a unique way comprehensive thermodynamic expertise with many years of experience in the areas of software development, simulation and testing technology. Among other things, we offer our customers platform-independent software in the areas of modeling, simulation, interoperability and visualization. Machine learning and model reduction methods enable the development of fast and robust novel simulation models of thermal systems.
XRG Simulation GmbH
XRG Simulation GmbH is specialised in employing system models and numerical simulation in order to answer requests related to complex energy management systems. Our key competence is the dynamics of (sector-) coupled energy supply systems including their control. We support our customers with services and dedicated software solutions in the fields of aircrafts, automotive industry, buildings, energy supply systems and power plants. By participating in research and development projects we continuously extend our product portfolio and field of activity. Consequently our customers benefit from a direct transfer of current knowledge to the practice. For the electric mobility sector optimisation of air-conditioning and thermal management provides a large potential for increasing the driving range. Here machine learning is an innovative approach to deploy complex system models across different platforms - from a workstation down to real time hardware-in-the loop applications.