Thermal Analysis of DC-link using Reduced Order Modeling Method

In the field of automotive component evaluation and verification, cost considerations play a pivotal role in the development of electrical devices. To address this, we propose to use virtual release techniques and integrating simulation through model order reduction methods. By doing so, we can efficiently reduce costs and testing durations. In this context, we demonstrate crucial steps involved in defining the entire process, specifying simulation requirements, and implementing this approach. Our focus is on building an inverter model capable of predicting transient temperature behavior of the DC-link with quantified accuracy, achieved through a combination of Finite Volume Method and Reduced Order Modeling methods. The techniques for verification and calibration are addressed. The process of validation using statistical methods is elaborated.

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Publication Details

Published
2024-09-30
DOI
https://doi.org/10.1109/pemc61721.2024.10726406
Citations
1
Primary Topic
Induction Heating and Inverter Technology
Type
article
Field-Weighted Citation Impact
0.21
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Thermal Analysis of DC-link using Reduced Order Modeling Method

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article

Thermal Analysis of DC-link using Reduced Order Modeling Method

Milada Krejčová, Libor Sova, Jiří Dražan, Jakub Kazda, Filip Lekeš
article en
1 citations

Abstract

In the field of automotive component evaluation and verification, cost considerations play a pivotal role in the development of electrical devices. To address this, we propose to use virtual release techniques and integrating simulation through model order reduction methods. By doing so, we can efficiently reduce costs and testing durations. In this context, we demonstrate crucial steps involved in defining the entire process, specifying simulation requirements, and implementing this approach. Our focus is on building an inverter model capable of predicting transient temperature behavior of the DC-link with quantified accuracy, achieved through a combination of Finite Volume Method and Reduced Order Modeling methods. The techniques for verification and calibration are addressed. The process of validation using statistical methods is elaborated.

ZF Engineering (Czechia) (CZ)
Openalex Percentile: Top 51%
Induction Heating and Inverter Technology
0.21
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