Optimization of CRM Totem Pole PFC Based on Inductor Current Zero-Crossing Prediction Strategy

The totem-pole bridgeless PFC circuit based on GaN devices is currently a research hotspot. To achieve full-range ZVS (Zero Voltage Switching), it is necessary to select a reasonable ZCD (Zero Current Detection) sampling scheme and dead time for the inductor current in CRM (Critical Conduction Mode). Addressing the issues of large computational burden and poor reliability in current inductor current zero-crossing prediction strategies, this paper proposes optimizing the turn-off time of the freewheeling diode and the adaptive dead time to improve the reliability of inductor current zero-crossing prediction and the realization of full-range ZVS. Finally, leveraging the powerful computational capability of a high-performance DSP, the proposed method was validated through reasonable software design and the establishment of an experimental platform.

Authors

Institutions

Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/icpea63589.2024.10784801
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimization of CRM Totem Pole PFC Based on Inductor Current Zero-Crossing Prediction Strategy

Chunguang Ren, Xin Liu
Advanced Memory and Neural Computing
article

Optimization of CRM Totem Pole PFC Based on Inductor Current Zero-Crossing Prediction Strategy

Chunguang Ren, Xin Liu
article en

Abstract

The totem-pole bridgeless PFC circuit based on GaN devices is currently a research hotspot. To achieve full-range ZVS (Zero Voltage Switching), it is necessary to select a reasonable ZCD (Zero Current Detection) sampling scheme and dead time for the inductor current in CRM (Critical Conduction Mode). Addressing the issues of large computational burden and poor reliability in current inductor current zero-crossing prediction strategies, this paper proposes optimizing the turn-off time of the freewheeling diode and the adaptive dead time to improve the reliability of inductor current zero-crossing prediction and the realization of full-range ZVS. Finally, leveraging the powerful computational capability of a high-performance DSP, the proposed method was validated through reasonable software design and the establishment of an experimental platform.

Taiyuan University of Technology (CN)
Climate action
Openalex Percentile: Top 78%
Advanced Memory and Neural Computing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.