The research centre "Modern Mobility" at the Technology Campus Plattling is divided into two superordinate research areas. In the area of technology development for modern mobility and the area of computed tomography-based measurement technology for real-time measurement of complete vehicles.
Since autumn 2020, the TCP has been located in the heart of the former railway town of Plattling. The TC Plattling is divided into two research areas: ‘Modern Mobility’ and ‘Real-Time Computed Tomography’. Modern Mobility uniquely combines the relevant core research fields for electrified mobile autonomous systems in one location. The Robo CT for the analysis of complex and large-volume 3D objects, in its current form and coupled with the existing expertise, represents a prominent facility in the field of research. Through the complementary cooperation of the individual research groups with renowned research institutions and chairs, the TCP is advancing to become a recognised institution for applied research.
The Power Electronics Department headed by Prof. Dr.-Ing. Otto Kreutzer conducts research on the following topics:
The central task is the development and optimisation of power electronic converters specific to the respective application.
Analyses, calculations, simulations and the creation of circuit diagrams and assembly plans form the basis of the research work.
The prototypes are then manufactured. A small workshop for mechanical work, a winding area for the in-house production of wound goods and a power electronics laboratory for all electronic activities are available for this purpose.
In the picture: Assembly of SMD components for a step-up converter
In the picture: Assembly of the wired components
In order to achieve high circuit efficiency, passive components, such as wound components, must also be manufactured in-house to meet the required parameters.
Once the circuits have been completed, they are commissioned and all parameters are tested and measured. In power electronics, measuring efficiency is particularly important.
Finally, the research work is tested in practice.
In the picture: Intelligent single-cell-based battery management system for a multi-level battery system
Exemplary, current challenges
Overview of equipment
The complete overview can be found at: Power electronics equipment Plattling
The working group led by Prof. DI Dr.techn. Michael Sternad focuses on the following research topics:
Publications by Prof. Sternad: Google Scholar Web of Science ORCID
Positive correlation between the strength of the fluoride SEI and the direct current cell impedance (DC impedance) of a 21700 cell
Fully integrated lithium-silicon microbattery, single-crystal silicon as anode and housing material
Investigation of surface layer formation (SEI) on a battery anode made of single-crystal silicon using SECM (scanning electrochemical microscopy)
Charakterisierung einer 18650-Tesla-Zelle, Studium des Alterungsverhaltens bei unterschiedlichen Temperaturen und C-Laderaten
Study of the fundamental electrochemical properties of single-crystal silicon (100) during lithiation
Working under protective gas
Preparation of laboratory test cells (Swagelok cells, button cells, pouch cells)
Electrochemical characterisation of laboratory test cells
Electrochemical characterisation of industrial cells (e.g. 21700)
Chemical analysis, imaging techniques and other equipment
Glovebox, fine vacuum drying line installed in the fume hood
Arbin high-current cycliser
Copper heat exchanger for precise thermostatting of battery cells during testing
Manufacture of electrodes: coating of current conductor foils with so-called ‘slurry’ (viscous active material mixture)
Laboratory calander for compacting the dried active material coating with a finished electrode web in the foreground
Qualification of battery cells:
Before a cell is used in a specific product, it is usually the responsibility of the cell manufacturer to prove the quality and safety of its cell to, for example, an appliance or automobile manufacturer (to ‘qualify’ it).
Typical battery qualification includes:
The experts at AG Sternad are happy to answer any questions you may have about battery qualification!
Example of the results of a cycling experiment over 750 cycles (750 charging and discharging processes) at 25, 40 and 60 °C:
Electrochemical experiment (cycling) of an industrial 3 Ah 21700 cell type under temperature-controlled conditions
If any problems occur in the battery cell during the experiment, which lasts approximately 4–5 weeks, the test procedures are automatically interrupted:
Cycling of nine (three per temperature) Samsung INR21700-40T, 4000 mAh cells, activation of the cell internal circuit breaker (‘CID activation’) due to excessive internal cell pressure at 60 °C
In order to assess the condition of the electrode coatings and the safety status of the cells after 750 cycles, one cell per temperature is partially discharged and opened under protective gas (argon) in a glovebox (post mortem analysis):
Opening and dismantling a 21700 cell under protective gas (left) and macroscopic examination of the separator and electrode surfaces (right)
OptiStore - Optimised energy storage systems for sustainable utilisation (European Union, ERDF)
The Autonomous Driving and Driver Assistance Systems department, led by Prof. Thomas Limbrunner, conducts research into autonomous systems and driver assistance systems. The general objective of the research group is to conduct applied research across the broad spectrum of autonomous systems.
The focus is primarily on the following areas:
Model scale test platform
In terms of infrastructure, the research group relies on powerful AI servers for algorithm development and simulation, test bed environments for automotive Ethernet, for example, and, as planned, high-precision driving parameter measurement technology. This enables studies in the areas of driving function precision, homologation, user experience (UX) and usability.
The research team's work covers almost all areas of autonomous driving as well as the further development of driver assistance systems.
Current work includes in-vehicle big data analytics systems for the development of data-based algorithms with the help of intelligent edge nodes. In the INSTATE funding project, metadata is already being generated in the vehicle with the help of intelligent edge devices. These are connected to a vehicle's sensors. The metadata generated in this way can be used by a big data platform to understand the current scenario. In addition, data, including metadata, is only recorded as needed.
The INSTATE project aims to use AI methods to explore new ways of recording and processing sensor data.
Work on innovative safety concepts for the start-up capability of the entire vehicle was recently completed as part of the iAATG project. Among other things, research was conducted into the detection of specific events based on high functional/system complexity using artificial intelligence methods (single event analysis). Furthermore, work was carried out on the validation of automated driving functions using inductive test strategies for ‘vehicle integrated testing’ (Vitbox), as well as research into the validation and verification of backend interaction with regard to automated driving functions.
The iAATG project is researching innovative strategies for ensuring the safety of autonomous driving functions.
An essential part of Prof. Thomas Limbrunner's research group is the collaboration with students on student projects and theses. Within these projects, a wide variety of sensor systems are put into operation and connected, and the data is then evaluated and analysed.
An important cooperation here is the collaboration between TC Plattling and the ‘Master of Applied Research’ degree programme.
Example of an IMU (inertial measurement unit)
Example of a master's thesis: simulation-based data generation and evaluation
In addition to evaluating real data, the research work also focuses on simulation-based training data generation for image processing using artificial intelligence.
Overview of equipment
The Robo-CT department headed by Prof. Dr. Simon Zabler conducts research into the 3D digitisation of large objects, including entire vehicles, using a robot-based digitisation cell based on X-ray computed tomography.
Exemplary, current challenges
Overview of equipment
Robot with X-ray detector
Robot with X-ray source
SmartCT
The SmartCT project develops and applies AI methods that enable robot-assisted computed tomography systems (robot CT) to autonomously and non-destructively capture the external and internal structures of any object. The data generated forms the basis for novel, innovative and data-driven business models in many areas, such as product development (vehicle components, aircraft wings, battery cells, etc.).
X-ray image of an e-bike
One focus of the Deggendorf Institute of Technology (DIT) is applied research and development. The close cooperation with partners from business and industry guarantees industry-oriented research. In contrast to the classical basic research at the universities, the main focus is on application results up to the prototype phase as well as the implementation and utilisation of the research and development results.
The research and development offers at DIT:
The research activities for innovative solutions, going far beyond the automotive sector, build on the previous research activities of DIT. Further projects in the research area of Innovative Mobility are being carried out at the Technology Campus Freyung.
Technische Hochschule Deggendorf
Technologie Campus Plattling
Forschungszentrum "Moderne Mobilität"
Werkstraße 17
D-94447 Plattling
Germany
Postanschrift: |
Werkstrasse 17 94447 Plattling Germany |
Telefon: | +49 991 3615 8600 |
Fax: | +49 991 3615 297 |
E-Mail: | tc-plattling@th-deg.de |