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An Optimized Light-Load Efficiency Scheme for LLC Converters Based on Variable Ratio Transformer
ID：6 View Protection：ATTENDEE Updated Time：2023-11-20 13:45:31 Hits：1027 Oral Presentation

Start Time：2023-12-10 09:15（Asia/Shanghai）

Duration：15min

Session：S9 Transformer technology and applications » S9Transformer technology and applications

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Abstract
The utilization of a two-stage voltage regulator module (VRM) structure is becoming increasingly popular in server applications. To ensure high efficiency during the CPU sleep-mode, the LLC converter is the most popular choice for the first stage due to its efficient output. This paper proposes a transformer structure with a variable primary side winding, which can dynamically adjust the primary side ratio based on the load condition. Under light load conditions, the Large Turn Ratio mode is utilized to decrease the maximum magnetic flux in the magnetic core, thus reducing core losses and achieving higher efficiency. Simultaneously, for heavy load conditions, the mode with a reduced primary side turn ratio is employed to ensure optimal system efficiency. An efficient 48-12/9.6/5.3 V LLC DCX has been designed with a peak efficiency of up to 93.5%. Experiments conducted on VRMs show remarkable enhancements in light-load efficiency due to these modifications.

 
Keywords
voltage regulator module (VRM), LLC resonant converter, Circuit reconfiguration, light-load efficiency promotion.
Speaker
Tianqi Lv
School of Electrical Engineering； Southwest Jiaotong University

Submission Author
Tianqi Lv School of Electrical Engineering； Southwest Jiaotong University
Xinghong He Southwest Jiaotong University
Yundong Gu Southwest Jiaotong University
Ruikun Mai Southwest Jiaotong University
wei zhang Ltd.；State Grid Smart Grid Research Institute Co.
Leyu Shen Ltd.；State Grid Smart Grid Research Institute Co.
Yang Chen Southwest Jiaotong University
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Important Date

  • Conference Date

    Dec 08

    2023

    to

    Dec 10

    2023

  • Nov 01 2023

    Draft paper submission deadline

  • Dec 10 2023

    Registration deadline

Sponsored By
IEEE IAS
Organized By
Southwest Jiaotong University (SWJTU)
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