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- W2905038979 abstract "Switching behavior analysis is an indispensable step for evaluating the steady-state performance of a bidirectional dc-dc converter and a prerequisite for soft-switching modulation design. For dual-bridge series resonant dc-dc converters (DBSRCs), the commonly used fundamental harmonic approximation (FHA) does not usually provide predictions accurate enough for reliable analysis and design. This paper discloses the exact closed-form solution for the zero-voltage switching (ZVS) operation conditions of DBSRCs for the most general case, in which all modulation quantities-i.e., phase shift, duty cycles, and switching frequency-are included. The proposed approach relies on a geometrical analysis of the converter state-plane trajectory, and allows us to analytically predict the ZVS or hard-switching state of any switch and for any given converter operating point. By inherently capturing the effects of all tank harmonics, the model disclosed in this paper shows higher accuracy than the conventional FHA-based approach, and translates into a practical tool for ZVS prediction and optimization at the converter design stage. Based on the derived analytical results, switching behavior of DBSRCs with minimum rms current trajectory (MCT) modulation is investigated, and an effective design choice of resonant-to-switching frequency ratio is presented, which contributes to reduced switching losses and enhanced efficiency. Furthermore, a variable frequency modulation scheme is formulated, achieving ZVS operation of all transistors over a wide input/output voltage range and efficiency improvement versus MCT technique. The analysis and conclusions are validated via extensive experimental tests on a 700 W DBSRC prototype." @default.
- W2905038979 created "2018-12-22" @default.
- W2905038979 creator A5008272307 @default.
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- W2905038979 date "2019-09-01" @default.
- W2905038979 modified "2023-10-14" @default.
- W2905038979 title "General Closed-Form ZVS Analysis of Dual-Bridge Series Resonant DC–DC Converters" @default.
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- W2905038979 doi "https://doi.org/10.1109/tpel.2018.2886301" @default.
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