Two-step Model Order Reduction for a Thermal Finite Element Model of a Power Electronics Module

Understanding the thermal behavior of power electronics is of critical importance in their design and development stage. Typical power losses are P loss > 2 kW, thus liquid cooling is often required in order to maintain acceptable temperatures. Due to the different thermal conductivities and heat capacities in the layered design, the system has multiple time constants and can not be modelled as a simple system with one time constant. However, this behavior can be well simulated using the finite element method. The transient thermal response is of special interest in the present case. Time constants spanning multiple order of magnitudes call for sufficiently small time steps. To speed up simulations, the original system can be compressed with model order reduction, lowering the state dimension to achieve higher performance, while retaining good accuracy of the simulation results. In this contribution, we apply these techniques to a typical power electronics use case and analyze their performance and accuracy. We also discuss a two-step reduction scheme combining the efficiency and error-bound of two state-of-the-art software packages.

Authors

Institutions

Publication Details

Journal
IFAC-PapersOnLine
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ifacol.2025.03.065
Citations
1
Primary Topic
Model Reduction and Neural Networks
Type
article
Field-Weighted Citation Impact
1.32
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Two-step Model Order Reduction for a Thermal Finite Element Model of a Power Electronics Module

Jens Saak, Tamara Bechtold, Dennis Hohlfeld, P. Hickisch
1 citations
IFAC-PapersOnLine
Model Reduction and Neural Networks
1.32
article

Two-step Model Order Reduction for a Thermal Finite Element Model of a Power Electronics Module

Jens Saak, Tamara Bechtold, Dennis Hohlfeld, P. Hickisch
article en
1 citations

Abstract

Understanding the thermal behavior of power electronics is of critical importance in their design and development stage. Typical power losses are P loss > 2 kW, thus liquid cooling is often required in order to maintain acceptable temperatures. Due to the different thermal conductivities and heat capacities in the layered design, the system has multiple time constants and can not be modelled as a simple system with one time constant. However, this behavior can be well simulated using the finite element method. The transient thermal response is of special interest in the present case. Time constants spanning multiple order of magnitudes call for sufficiently small time steps. To speed up simulations, the original system can be compressed with model order reduction, lowering the state dimension to achieve higher performance, while retaining good accuracy of the simulation results. In this contribution, we apply these techniques to a typical power electronics use case and analyze their performance and accuracy. We also discuss a two-step reduction scheme combining the efficiency and error-bound of two state-of-the-art software packages.

IFAC-PapersOnLineVol. 59(1)
Jade University of Applied Sciences (DE), Max Planck Institute for Dynamics of Complex Technical Systems (DE), Klinikum Wilhelmshaven (DE), University of Rostock (DE)
Affordable and clean energy
Openalex Percentile: Top 21%
Model Reduction and Neural Networks
1.32
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Two-step Model Order Reduction for a Thermal Finite Element Model of a Power Electronics Module — Jens Saak, Tamara Bechtold, et al. · IFAC-PapersOnLine (2025) | TGRS Research Map | TGRS