Partial Power Processing and Efficiency Analysis of dc-dc Differential Converters
Jéssika Melo de Andrade,
Roberto Francisco Coelho and
Telles Brunelli Lazzarin
Additional contact information
Jéssika Melo de Andrade: Electrical Engineering Department, Federal University of Santa Catarina, Florianopolis 88040-900, Brazil
Roberto Francisco Coelho: Electrical Engineering Department, Federal University of Santa Catarina, Florianopolis 88040-900, Brazil
Telles Brunelli Lazzarin: Electrical Engineering Department, Federal University of Santa Catarina, Florianopolis 88040-900, Brazil
Energies, 2022, vol. 15, issue 3, 1-17
Abstract:
This paper presents a partial power processing and an efficiency analysis of dc-dc differential converters based on the use of two basic converters of the same group: the positive or negative group. The paper contributes theoretical analysis and demonstrates that the differential converters based on the positive group process has more power than the load requires, and that the differential converters based on the negative group process has less power than the load needs. This is an important advantage of the negative group converters, since a parcel of the output power is directly transferred by the input source to the load, resulting in partial power processing. In order to verify the theoretical analysis herein developed, ten prototypes are evaluated considering an input voltage of 20 V and output power of 100 W.
Keywords: differential converters; high gain dc-dc converters; non-isolated converters; partial power processing; step-up converters (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1996-1073/15/3/1159/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/3/1159/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:3:p:1159-:d:742225
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().