Enhanced modeling of DC-DC power converters by means of averaging technique

An average modeling approach for DC-DC power converters is presented in this paper. It allows the achievement of accurate averaged models of DC-DC converters, which account for dynamic and steady state operations, over both Continuous Conduction Mode (CCM) and Discontinuous Conduction Mode (DCM). In...

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Bibliographic Details
Main Authors: Mocci, Andrea, Serpi, Alessandro, Marongiu, Ignazio, Gatto, Gianluca
Format: Conference Proceeding
Language:English
Subjects:
Averaging technique
Current Ripple
DC-DC power converters
Decision support systems
Modeling
Online Access:Request full text
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Summary:An average modeling approach for DC-DC power converters is presented in this paper. It allows the achievement of accurate averaged models of DC-DC converters, which account for dynamic and steady state operations, over both Continuous Conduction Mode (CCM) and Discontinuous Conduction Mode (DCM). In particular, appropriate equivalent switching signals are introduced in order to account for each converter operating state. In addition, a suitable inductor model is introduced in order to improve inductor losses estimation. As a result, the proposed averaged modeling enables an enhanced power losses estimation by accounting for switching and current ripple phenomena. The worth and effectiveness of the proposed modeling approach has been validated through a simulation study, which is performed in the Matlab-Simulink environment and refers to the case of a boost DC-DC converter.
ISSN:1553-572X
DOI:10.1109/IECON.2014.7049276