Our Fo­cus Are­as

Pow­er Elec­tro­nics

• Fast-switching inverters
• Converter optimization
• Control and modulation
techniques
• Application fields:
• Automotive
• Industry
• Datacenters

Mehr erfahren

Ma­gne­tic Com­ponents

• Measurement and modelling of
soft-magnetic materials
• Investigation of innovative
design concepts
• Implementation & testing of
prototypes

Mehr erfahren

In­ver­ter-Do­mi­na­ted Grids

• Future grid forming inverters
• Model predictive control
• Reinforcement learning control

Mehr erfahren

Drive Con­trol

• Data and model based optimal
control
• Systemidentification
• Real-time implementation and
validation

Mehr erfahren

Pow­er Elec­tro­nics

Ne­Mo.bil

• Developing a conductive inter-vehicle charging systems for moving platoons of autonomous electric vehicles used in public transportation.
• Analysing bidirectional energy sharing among vehicles based on a decentralized state-of-charge dependent droop control system for conductive AC charging.

Mehr erfahren

Cas­ca­ded Con­ver­ters for Hy­dro­gen Elec­tro­ly­sis

Advantages of Cascaded
Converters
• Interchangeable identical modules
• No 50 Hz transformer
• Reduction in size and cost
Research Focus Areas
• Design a 22 kW LLC converter
• Efficiency optimization
• Variable output power
• Real-time control

Mehr erfahren

Ga­Ni­us – Low EMI Three-Pha­se PFC

• Characterization of unidirectional and bidirectional GaN switches
• Design and simulation of novel PFC rectifier topologies
• Development and implementation of embedded digital control
• Implementation, testing, and performance evaluation of two 11 kW prototypes

Mehr erfahren

Ca­pa­ci­ti­ve LLC

• Development and optimization of
an IGBT-based LLC converter
• Optimized synchronous rectification
• Mathematical modeling of the transfer characteristics
• Bidirectional ZCS LLC converter

Mehr erfahren

Open­Au­to­Mo­LE

Open-source software toolkit for automated,
modular modeling, simulation, and design of
power electronic converters
• Modeling of individual power electronic
components
• Efficient multi-objective optimization of the
overall converter system to achieve high
efficiency and power

Mehr erfahren

Ma­g­ne­tic Com­­ponents

Ma­gne­tic Com­ponents in MHz Ran­ge

• Measurement methods in
the MHz range
• Modeling of inductance
and core losses
• Loss-optimized magnetic
component designs

So­lid-State Trans­for­mers

What are Solid-State Transformers?
• Advanced transformer technology for modern medium-voltage systems
• Flexible integration of renewable energy and smart-grid applications
• Compact and resource-efficient power
• Multi-objective transformer optimization
• Geometry-agnostic core loss models
• Measurements in medium-voltage
test bench

Pla­nar Ma­gne­tics

Why PCB Planar Magnetic Components?
• Planar magnetics are especially suited for
GaN-based converters with high power density
• Matrix configurations allows flux cancellation
• PCB windings allow automated fabrication
• Optimization of winding
and via arrangement
• Designs with reduced
parasitic capacitance
• 3D modelling conce

In­­­ver­­ter-Do­­mi­na­ted Grids

Mi­cro­grid La­bo­ra­to­ry

• Control and management of
electrical power grids
• Hybrid grids
• AC–DC systems
• Solid-state transformers
• Grid standards
• Inverter control
• Optimal control
• Artificial intelligence
• Grid stability
• Energy management
• Hardware testing
• Hardware fault handling and
mitigation

Mehr erfahren

Drive Con­trol

LEA-AI

• Implementing real-time reinforcement-learning controllers
• Designing reward functions
• Enabling safe, data-efficient learning
• Transferring agents to new systems
• Controlling partially observable systems
• Applying RL to electric drives and microgrids
• Funded by BMBF through the VIP+ program

Mehr erfahren

Pu­bli­ka­ti­o­nen

Optimal Control of Voltage-Forming Grid Inverters by Model Predictive Control and Reinforcement Learning

D. Weber, D. Schmies, J.H. Lange, M. Schenke, O. Wallscheid, IEEE Access 14 (2026) 38517–38535.

DOI

Reinforcement Learning-Based Control of Voltage-Forming Grid Inverters With Arbitrary Loads

D. Weber, J. Lange, O. Wallscheid, IEEE Journal of Emerging and Selected Topics in Industrial Electronics (2026) 1–12.

DOI

Why Long Prediction Horizons Matter in Model Predictive Torque Control of Electrical Drives

B. Haucke-Korber, J. Kucka, in: 2026 Energy Conversion Congress & Expo Europe (ECCE Europe), IEEE, 2026.

DOI

Experimentally Validated Pareto Optimization for a Dual-Active-Bridge Converter

N. Förster, A. Sack, O. Wallscheid, J. Kucka, in: PCIM Europe, 2026.


A GaN-Enabled Low-EMI Three-Phase/Single-Phase PFC Family for EV Chargers and Data Center Applications

R. Asgarnia, J. Kucka, F. Schafmeister, in: PCIM Conference 2026, 2026, pp. 540–549.

DOI

Alle Publikationen anzeigen

Leistungselektronik und Elektrische Antriebssysteme (LEA)

Lesen Sie mehr über uns:

Laborausstattung