Modeling of TL431 in SIMPLIS

TL431 is an adjustable precision shunt regulator that is widely used in switch-mode power supplies, battery management systems, and various power-conditioning circuits. Since SIMPLIS does not include a built-in standard model for TL431, we explore methods for constructing TL431 within the SIMPLIS environment. Specifically, we compare three implementations: SPICE conversion, behavioral modeling, and the use of SIMPLIS's built-in control elements. Based on an indepth analysis of the operational principles of TL431, we propose an innovative hybrid model that can enhance the accuracy and stability of SIMPLIS simulation results. Furthermore, we evaluate the applicability of the three aforementioned approaches in switching power circuits, aiming to provide more precise modeling strategies and design references.

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Published
2025-06-27
DOI
https://doi.org/10.1109/is3c65361.2025.11131052
Primary Topic
Machine Learning in Bioinformatics
Type
article
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article

Modeling of TL431 in SIMPLIS

Y. T. Yau
Machine Learning in Bioinformatics
article

Modeling of TL431 in SIMPLIS

Y. T. Yau
article en

Abstract

TL431 is an adjustable precision shunt regulator that is widely used in switch-mode power supplies, battery management systems, and various power-conditioning circuits. Since SIMPLIS does not include a built-in standard model for TL431, we explore methods for constructing TL431 within the SIMPLIS environment. Specifically, we compare three implementations: SPICE conversion, behavioral modeling, and the use of SIMPLIS's built-in control elements. Based on an indepth analysis of the operational principles of TL431, we propose an innovative hybrid model that can enhance the accuracy and stability of SIMPLIS simulation results. Furthermore, we evaluate the applicability of the three aforementioned approaches in switching power circuits, aiming to provide more precise modeling strategies and design references.

National Chin-Yi University of Technology (TW)
Openalex Percentile: Top 80%
Machine Learning in Bioinformatics
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