Title :
Enhanced modeling of DC-DC power converters by means of averaging technique
Author :
Mocci, Andrea ; Serpi, Alessandro ; Marongiu, Ignazio ; Gatto, Gianluca
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Cagliari, Cagliari, Italy
Abstract :
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.
Keywords :
DC-DC power convertors; DCM; Matlab-Simulink environment; averaging technique; continuous conduction mode; converter operating state; current ripple phenomena; dc-dc power converters; discontinuous conduction mode; dynamic state operations; equivalent switching signals; inductor losses estimation; modeling enhancement; steady state operations; DC-DC power converters; Decision support systems; Averaging technique; Current Ripple; DC-DC power converters; Modeling;
Conference_Titel :
Industrial Electronics Society, IECON 2014 - 40th Annual Conference of the IEEE
DOI :
10.1109/IECON.2014.7049276