A high efficiency synchronous buck converter with adaptive dead time control for dynamic voltage scaling applications

Zhen, Shaowei; Zhang, Bo; Luo, Ping; Yang, Kang; Zhu, Xujun; Li, Jiangkun

doi:10.1109/vlsisoc.2011.6081628

Cited by 10 publications

(7 citation statements)

References 5 publications

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“…The efficiency of the basic buck topology is determined by the losses due to the inductor impedance and the serial resistance of the diode in the on state. In order to decrease the losses, the free-wheeling diode has been replaced by another switching element with significantly lower serial resistance (RDS O ll), creating a so called synchronous buck SMPS [3]. This enhances the overall efficiency of the system significantly.…”

Section: Buck Converter Propertiesmentioning

confidence: 99%

Self-heating spectre model of high frequency voltage regulator

Nagy

Stopjaková

2013

2013 21st Telecommunications Forum Telfor (TELFOR)

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This paper addresses a behavioral model development of a high frequency voltage regulator (HFVR) unit with self-heating effects included. Recent power management circuits can dissipate a significant portion of heat that might affect the overall performance of the system. During the design of the systems, based on discrete components, engineers almost exclusively rely on static ambient temperature behavior. The proposed self-heating model deals with the wide dynamic temperature changes of the HFVR integrated circuit which brings the modeling and simulations much closer to the reality.

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Section: Buck Converter Propertiesmentioning

confidence: 99%

Self-heating spectre model of high frequency voltage regulator

Nagy

Stopjaková

2013

2013 21st Telecommunications Forum Telfor (TELFOR)

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“…However, the drawback comes at the expense that an integrated load current-sensing block is needed and the deadtime controller is unable to accurately optimize the deadtime when there are variations in process, voltage supply, and temperature (PVT). On the other hand, there are some deadtime controllers that detect the node voltage of VX using very high-speed comparators [6][7][8] to optimize the deadtime (TD1). However, this is not power-efficient as it will consume a large quiescent power during steady-state conditions and the systematic offset voltage in the comparator may lead to inaccurate sensing of VX.…”

Section: Introductionmentioning

confidence: 99%

A DC-DC Converter with Switched-Capacitor Delay Deadtime Controller and Enhanced Unbalanced-Input Pair Zero-Current Detector to Boost Power Efficiency

Kok,

Tang,

Teo

et al. 2024

Electronics

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This proposed work introduces a DC-DC converter with Switched-Capacitor Delay Deadtime Controller (SCD-DTC), Digitally Controlled Start-Up Block (DC-SUB), and Enhanced Unbalanced-Input Pair Zero-Current Detector (EUIP-ZCD) that helps to improve the overall power efficiency. It also introduces the discussion of key signal waveforms and the two major optimization flowcharts. This proposed DC-DC converter can simultaneously achieve optimized deadtime (body diode conduction < 3 ns) and almost fully eliminate the phenomenon of reverse inductor current (RIC). Furthermore, it also shows that it can achieve a well-regulated output voltage of 1.8 V with <0.01% of output ripple riding on it. All the post-layout simulation results are carried out using 0.18 µm 1P6M CMOS process using Cadence Virtuoso Spectre Circuit Simulator. The silicon chip area of our proposed work (including the output pad frame) is 1.44 mm2. The chip fabrication was sent out in January 2024 and the return of the measurement dies is expected in March 2024. The post-layout simulation results will no doubt closely resemble the measurement results since the proposed work is mostly controlled by digital blocks.

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“…Thus a more efficient solution is to use dead time control. Typical approach to control the dead time is to use a separate detection, feedback and delay adjusting circuits as part of the overall converter control circuitry [3,4,5,6,7,8]. However, this way of controlling the dead time is naturally limited by the speed of detection and the controller itself.…”

Section: Introductionmentioning

confidence: 99%