Data-Driven Modeling of DC–DC Power Converters

Edgar D. Silva-Vera; Bravo, Leonardo; Gerardo Escobar; Daniel Guillen; Rosas-Caro, Julio; Jose M. Sosa

doi:10.3390/electronics13193890

Data-Driven Modeling of DC–DC Power Converters

Journal

Electronics

ISSN

2079-9292

Date Issued

2024

Author(s)

Edgar D. Silva-Vera

Bravo, Leonardo

Gerardo Escobar

Daniel Guillen

Rosas-Caro, Julio

Facultad de Ingeniería - CampGDL

Jose M. Sosa

Type

text::journal::journal article

DOI

10.3390/electronics13193890

URL

https://scripta.up.edu.mx/handle/20.500.12552/11540

Abstract

This article presents a data-driven methodology for modeling DC–DC power electronic converters. Using the proposed methodology, the dynamics of a converter can be captured, thereby eliminating the need for explicit theoretical modeling methods. This approach only requires the acquisition of fundamental measurements: currents through inductors and voltages across capacitors. The acquired data are used to construct a linear difference system, which is algebraically manipulated to form a state–space representation of the converter under analysis. Three DC–DC converter topologies were analyzed, and their resulting models were tested and compared with simulation data, yielding an average error deviation of approximately 2% for current signals and 4% for voltage signals, demonstrating precise tracking of the actual dynamics. The proposed data-driven methodology could simplify the implementation of adaptive control strategies in larger-scale solutions or in the interconnection of multiple converters.