Evidence map›Paper›PMID 41486204›Full record

ArticleScientific reports2026

Research on boost conversion of SiC-based laser power supply for aerospace applications.

Xiaoqiang Zhang, Yunfeng Wang, Benyuan Shi, Yuanchao Liu

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Xiaoqiang ZhangNorth China University of Technology, Beijing, 100144, China.
Yunfeng WangNorth China University of Technology, Beijing, 100144, China. 15902454748@163.com.
Benyuan ShiThe 33rd Research Institute of the Third Research Academy China Aerospace Science and Industry Corporation (CASIC), Beijing, 100074, China.
Yuanchao LiuNorth China University of Technology, Beijing, 100144, China.

Funding

Natural Science Foundation of Beijing Municipality, China NO.3202009
6 · The paper itself

Abstract

This paper presents an optimized design of a two-phase interleaved critical conduction mode (CRM) Boost converter for spaceborne laser power supplies, addressing stringent requirements on efficiency and power density. The proposed topology integrates SiC devices with a magnetically integrated coupled inductor to improve system performance. By analyzing the behavior of the coupled inductor under CRM operation, the concepts of equivalent steady-state inductance and equivalent transient inductance are introduced within a unified analytical model, which reveals their influence on dynamic response speed, input current ripple, and switching frequency. In terms of control, a dynamic on-time compensation method based on a static operating point is developed. This approach achieves precise 180° phase interleaving and current sharing by directly adjusting the comparator reference voltage, without requiring external high-speed controllers. The method not only simplifies hardware implementation but also significantly reduces the effort of PI parameter tuning. A 1 kW prototype with an input range of 100-300 V was constructed to validate the proposed design. Experimental results demonstrate clear advantages in volume reduction, stability improvement, transient response, and efficiency, achieving a peak efficiency of 97.5%. These results confirm the feasibility and engineering value of the proposed converter in space-based laser power supply applications.

Indexed as

Boost converterCritical conduction modeInterleaved parallelMagnetically coupled inductorSpace power supply

Identifiers

PMID41486204
PMCPMC12830381

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.