AC Copper Loss Reduction in Planar Inductors With Magnetic Building Blocks-Based Gapless Parallel Symmetrical Magnetoresistance Structure

电感器 磁芯 电磁线圈 材料科学 铁氧体磁芯 磁电阻 相对渗透率 有限元法 铜损耗 无缝回放 电气工程 磁场 工程类 凝聚态物理 物理 复合材料 结构工程 电压 量子力学 多孔性
作者
Pengyuan Ren,Wenjie Chen,Xingwei Huang,Yuxuan Chen,Yun Wang,Xu Yang
出处
期刊:IEEE Journal of Emerging and Selected Topics in Power Electronics [Institute of Electrical and Electronics Engineers]
卷期号:11 (4): 4295-4312
标识
DOI:10.1109/jestpe.2023.3278689
摘要

Fringing and proximity effects are the main reasons for serious ac copper loss in high-frequency planar inductors. In this article, a novel air-gapless core structure based on magnetic building blocks (MBBs) with magnetoresistance parallel and symmetrically distributed relative to the windings is proposed, in which two magnetic building blocks parallel to the printed circuit board (PCB) windings are made of metal soft magnetic material with low relative permeability and three magnetic building blocks perpendicular to windings are made of ferrite with high relative permeability. Equivalent magnetic circuit models and theoretical analysis for the proposed core structure reveal that even if the interleaved winding structure fails in the inductor, a better distribution of magnetomotive force can be obtained by optimizing the distribution of magnetoresistance. Compared with the conventional inductors using stand airgaps, both the fringing and proximity effects can be weakened by the designed parallel symmetrical magnetoresistance core structure, which has been verified in 3-D finite-element analysis (FEA)-based simulations. The FEA calculated results show that the proposed optimized core structure can achieve a 46% reduction in ac resistance, and this advantage will extend with increasing frequency over a certain frequency range. On a boost converter operating in critical conduction mode, experimental verification including converter efficiency test and inductor loss test was carried out. The maximum efficiency improvement was 1.4%, and the reduction of inductor loss was also verified.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
季云发布了新的文献求助10
3秒前
yungu发布了新的文献求助10
3秒前
皛皛发布了新的文献求助10
3秒前
3秒前
星辰大海应助xulei采纳,获得10
4秒前
在水一方应助zhouxiuqing采纳,获得10
4秒前
sanshiqi发布了新的文献求助10
4秒前
考拉发布了新的文献求助10
6秒前
房产中介发布了新的文献求助10
7秒前
7秒前
yungu完成签到,获得积分10
8秒前
不扯先生完成签到,获得积分10
9秒前
fighting发布了新的文献求助10
11秒前
Gamera完成签到 ,获得积分10
11秒前
脑洞疼应助任性的翼采纳,获得10
13秒前
科研通AI6.2应助jiaaaaa采纳,获得10
13秒前
朴素冰双发布了新的文献求助10
14秒前
19秒前
搜集达人应助研友_nq5OGn采纳,获得10
22秒前
22秒前
远方完成签到,获得积分10
23秒前
xfxx发布了新的文献求助10
25秒前
考拉完成签到,获得积分10
26秒前
果果发布了新的文献求助10
27秒前
28秒前
桃释完成签到 ,获得积分10
30秒前
英姑应助Anserbe采纳,获得10
31秒前
Jankin完成签到,获得积分10
31秒前
32秒前
立景发布了新的文献求助10
33秒前
搜集达人应助ANK采纳,获得10
34秒前
34秒前
今朝发布了新的文献求助10
35秒前
yannnis完成签到,获得积分10
35秒前
宋北山完成签到 ,获得积分10
37秒前
yannnis发布了新的文献求助10
38秒前
38秒前
39秒前
钢铁科研发布了新的文献求助10
40秒前
42秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Mass participant sport event brand associations: an analysis of two event categories 500
Photodetectors: From Ultraviolet to Infrared 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6354409
求助须知:如何正确求助?哪些是违规求助? 8169400
关于积分的说明 17196921
捐赠科研通 5410400
什么是DOI,文献DOI怎么找? 2863984
邀请新用户注册赠送积分活动 1841404
关于科研通互助平台的介绍 1689964