Soft-Switching Auxiliary Current Control for Faster Load Transient Response of Buck Converter

Kim, Dong-Wook; Hong, Myeongjae; Baek, Jongun; Lee, Jisu; Shin, Joon-Ho

doi:10.1109/ecce44975.2020.9235670

Cited by 1 publication

(1 citation statement)

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“…It is extensively adopted in applications like vehicle chargers due to its continuous frequency-based duty cycle adjustment, but because it is challenging to produce ZVS at a light load, the converter's efficiency is significantly reduced in this situation. A dual-inductor buck converter has been proposed, [19][20][21][22] which is based on the topology of the buck converter. Although the converter runs at a set switching frequency, this design works in CCM to prevent significant current ripple.…”

Section: Introductionmentioning

confidence: 99%

Real time online efficiency optimization of buck converter against variable voltage and load change

Chen

Tang

et al. 2022

Circuit Theory & Apps

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In order to address the issue of keeping the converter operating at a high efficiency level under different conditions, this paper suggests an adaptive step frequency adjustment online optimization search algorithm, which achieves the goal of fast adjustment and real‐time response to parameter changes. The converter is quickly adjusted to operate at a high efficiency by sampling the input and output current values and modulating the switching frequency utilizing the algorithm. Additionally, the algorithm shifts between two working models to finish the search for the best switching frequency while the converter's characteristics do not change. Moreover, it accomplishes the objective of instantly resynchronizing the algorithm after a change in the converter's parameters and starting a search for the best switching frequency in the new converter state. For various input voltages and output loads, the operating principle, optimal frequency, and efficiency are given. In addition, the principle analysis when the converter parameters are changed is provided, and the choice of two algorithm models is compared. Finally, a prototype buck converter with adjustable input voltage and load is constructed to test the algorithm's efficiency.

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Section: Introductionmentioning

confidence: 99%