Our Fo­cus Areas

Power Elec­tron­ics

• Fast-switching inverters
• Converter optimisation
• Control and modulation
techniques
• Application areas:
• Automotive
• Industry
• Data centres

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Mag­net­ic Com­pon­ents

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

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In­vert­er-Dom­in­ated Grids

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

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Drive Con­trol

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

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Power Elec­tron­ics

NeMo.bil

• Design and practical implementation
of bidirectional, grid-forming,
communicating 3.3 kW and 22 kW
on-board chargers
• Verification of the simulated drive
control system on a motor test
bench

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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 optimisation
• Variable output power
• Real-time control

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GaNi­us – Low EMI Three-Phase PFC

• Characterisation of the
bidirectional GaN switches
• Circuit design
• Development of a digital
control system
• Construction of an 11 kW
prototype

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Ca­pa­cit­ive LLC

• Development and optimisation of
an IGBT-based LLC converter
• Optimised synchronous rectification
• Mathematical modelling of the transfer characteristics
• Bidirectional ZCS LLC converter

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Ope­nAuto­MoLE

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

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Mag­net­ic Com­pon­ents

Mag­net­ic Com­pon­ents in the MHz Range

• Measurement methods in the MHz range
• Modelling of inductance
and core losses
• Loss-optimised 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 optimisation
• Geometry-agnostic core loss models
• Measurements on a medium-voltage
test bench

Planar Mag­net­ics

Why PCB Planar Magnetic Components?
• Planar magnetics are particularly well-suited to
GaN-based converters with high power density
• Matrix configurations enable flux cancellation
• PCB windings allow for automated fabrication

• Optimisation 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

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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 the BMBF through the VIP+ programme

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Pub­lic­a­tions

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

Reinforcement Learning: A Comprehensive Open-Source Course

A.H.A. Abdelwanis, B. Haucke-Korber, D. Jakobeit, W. Kirchgässner, M. Meyer, M. Schenke, H. Vater, O. Wallscheid, D. Weber, Journal of Open Source Education 9 (2026).

DOI

Safe Reinforcement Learning Direct Torque Control for Continuous Control Set Permanent Magnet Synchronous Motor Drives

M. Schenke, B. Haucke-Korber, O. Wallscheid, IEEE Access (2026) 1–1.

DOI

Pareto Optimal DC-Link Capacitor Selection

N. Förster, S. Schachten, O. Wallscheid, J. Kucka, in: 2026 International Power Electronics Conference (IPEC-Nagasaki 2026 - ECCE Asia), IEEE, 2026.

DOI

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Power Electronics and Electrical Drives

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