Accurate Modeling of LLC Resonant Converters with Enhanced Analytical Approach Considering Parasitic Capacitance

This study introduces a novel analytical model designed to improve the accuracy of key parameter predictions in LLC resonant converters. The model addresses limitations in existing approaches that often lose accuracy with varying frequencies and load conditions and do not account for parasitic capacitance. By incorporating the parasitic capacitance of power devices, the model more accurately predicts current and voltage waveforms, voltage gain, and the necessary deadtime for achieving soft switching. Validation through simulations across various operating conditions shows a significant improvement in prediction accuracy, reducing errors in gain prediction and ZVS deadtime calculation. This improved accuracy has the potential to lead to more efficient and reliable LLC converter designs.

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Publication Details

Published
2025-03-16
DOI
https://doi.org/10.1109/apec48143.2025.10977212
Citations
1
Primary Topic
Advanced DC-DC Converters
Type
article
Field-Weighted Citation Impact
0.73
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article

Accurate Modeling of LLC Resonant Converters with Enhanced Analytical Approach Considering Parasitic Capacitance

Dong Jiao, Jih‐Sheng Lai, Zhengming Hou
1 citations
Advanced DC-DC Converters
0.73
article

Accurate Modeling of LLC Resonant Converters with Enhanced Analytical Approach Considering Parasitic Capacitance

Dong Jiao, Jih‐Sheng Lai, Zhengming Hou
article en
1 citations

Abstract

This study introduces a novel analytical model designed to improve the accuracy of key parameter predictions in LLC resonant converters. The model addresses limitations in existing approaches that often lose accuracy with varying frequencies and load conditions and do not account for parasitic capacitance. By incorporating the parasitic capacitance of power devices, the model more accurately predicts current and voltage waveforms, voltage gain, and the necessary deadtime for achieving soft switching. Validation through simulations across various operating conditions shows a significant improvement in prediction accuracy, reducing errors in gain prediction and ZVS deadtime calculation. This improved accuracy has the potential to lead to more efficient and reliable LLC converter designs.

Virginia Tech (US)
Affordable and clean energy
Openalex Percentile: Top 29%
Advanced DC-DC Converters
0.73
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Accurate Modeling of LLC Resonant Converters with Enhanced Analytical Approach Considering Parasitic Capacitance — Dong Jiao, Jih‐Sheng Lai, et al. · (2025) | TGRS Research Map | TGRS