Contribution to a conference proceedings

FZJ-2025-05277

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Power Electronics Parameter Estimation by Physics-Informed Gaussian Processes

Zimmer, M. (Corresponding author)FZJ* ; De Din, E.FZJ* ; Carta, D.FZJ* ; Benigni, A.FZJ*

2025
IEEE

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Please use a persistent id in citations: doi:10.1109/IECON58223.2025.11221137

Abstract: Non-invasive parameter estimation of power electronics enables condition and health monitoring, enhances control strategies, and thus, guarantees reliable and stable operation of power converters. In this work, we propose the application of Physics-Informed Gaussian Processes (PIGP) for parameter estimation of power electronic converters. We provide a detailed model-building scheme allowing non-invasive characterisation of power converters. In particular, we show that the proposed approach can be applied independently of the particular noise level without the need for data pre-processing. Tested with a DC-DC buck converter in a simulation scenario, we show that the proposed approach is immune to measurement noise and can be executed with low sampling rates. This allows fast, possibly online, execution and thus tracking of converter parameter changes due to thermal effects or aging during operation.

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Contributing Institute(s):

1. Modellierung von Energiesystemen (ICE-1)

Research Program(s):

1. 1121 - Digitalization and Systems Technology for Flexibility Solutions (POF4-112) (POF4-112)
2. 1122 - Design, Operation and Digitalization of the Future Energy Grids (POF4-112) (POF4-112)
3. 1123 - Smart Areas and Research Platforms (POF4-112) (POF4-112)

Appears in the scientific report 2025

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