ESR Estimation Method for DC/DC Converters Through Simplified Regression Models

Author

Buiatti, G.M. ; Amaral, A.M.R. ; Cardoso, A.J.M.

Author_Institution

Alstom Transp., Semeac

fYear

2007

Firstpage

2289

Lastpage

2294

Abstract

In this paper, simplified regression models useful for parameter extraction are obtained from the hybrid models of Buck and Boost DC/DC converters. These models are used in the ESR estimation of output filter capacitors present in the same circuits for diagnostic purposes. Advantages obtained through the simplified models are outlined regarding the original complete regression models obtained from the respective hybrid models. The simplified and the original parameter estimation methods are both applied and compared between them regarding accuracy, data processing time and reliability of the implemented algorithms. Results obtained from simulations and experimental results are presented.

Keywords

DC-DC power convertors; regression analysis; ESR estimation method; boost DC/DC converters; buck DC/DC converters; parameter extraction; regression models; Circuits; DC-DC power converters; Mathematical model; Paramagnetic resonance; Parameter estimation; Power electronics; Power system dynamics; Power system modeling; Power system reliability; Topology;

fLanguage

English

Publisher

ieee

Conference_Titel

Industry Applications Conference, 2007. 42nd IAS Annual Meeting. Conference Record of the 2007 IEEE

Conference_Location

New Orleans, LA

ISSN

0197-2618

Print_ISBN

978-1-4244-1259-4

Electronic_ISBN

0197-2618

Type

conf

DOI

10.1109/07IAS.2007.346

Filename

4348095