Double B-type magnetic integrated transformer based input-parallel output-parallel LLC resonant converter modules

谐振变换器 变压器 物理 电气工程 材料科学 电子工程 电压 拓扑(电路) 工程类
作者
Nenghong Xia,Shuang Yan,Huaqi Ma,Xike Mao,Mengqi Chen
出处
期刊:Frontiers in Energy Research [Frontiers Media]
卷期号:12
标识
DOI:10.3389/fenrg.2024.1343247
摘要

The LLC resonant converter used in high-power situations suffers from the problems of high conduction loss and current stress, which can be solved using input-parallel output-parallel (IPOP)-connected converter modules. However, this leads to a multiple increase in the number of magnetic components, which reduces power density. Magnetic integration technology is an effective way to reduce the volume of converters. Currently, the magnetic integrated transformer based on EE-type cores is widely used to realize miniaturization, and it uses leakage inductance instead of resonant inductance to improve power density. However, leakage inductance is difficult to control, and the external radiated magnetic field will produce serious eddy current loss and electromagnetic interference. This article proposes a novel double B-type magnetic integrated transformer, which can integrate the magnetic components of two LLC resonant converters simultaneously and where the resonant inductances are wound independently. The structure contains four low reluctance branches, which are used as the cores of the transformer and the resonant inductance. The decoupling integration method, which integrates the four components into a single core, has been used to increase core utilization and improve power density. On this basis, the transformer’s high- and low-voltage windings are cross-arranged to reduce the magnetic field intensity in space, further decreasing the loss and electromagnetic interference. Compared with the EE-type magnetic integrated transformer, the volume of the proposed structure is reduced by 5.9%. A 400W experimental prototype is built, and the results verify the validity of the design.
最长约 10秒,即可获得该文献文件

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
科研通AI6.4应助掏粪男孩采纳,获得10
刚刚
SYSU完成签到,获得积分10
1秒前
沉静老鼠发布了新的文献求助10
1秒前
1秒前
hhh应助Everglow采纳,获得20
2秒前
2秒前
可爱的函函应助潇湘泪采纳,获得10
3秒前
Hello应助邓俊杰采纳,获得10
3秒前
3秒前
4秒前
4秒前
4秒前
niu完成签到 ,获得积分10
4秒前
4秒前
fan发布了新的文献求助10
5秒前
6秒前
7秒前
xzx完成签到,获得积分10
7秒前
7秒前
8秒前
Kuku发布了新的文献求助10
8秒前
害羞鬼发布了新的文献求助10
8秒前
LQ发布了新的文献求助30
8秒前
9秒前
hololoo完成签到,获得积分10
9秒前
9秒前
Akim应助ll采纳,获得10
9秒前
10秒前
10秒前
mojomars发布了新的文献求助10
10秒前
12秒前
吭吭菜菜完成签到,获得积分10
13秒前
香爆脆发布了新的文献求助10
13秒前
maxlovol应助fan采纳,获得10
13秒前
13秒前
13秒前
14秒前
英吉利25发布了新的文献求助10
14秒前
wdddr发布了新的文献求助10
14秒前
15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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
煤炭地下气化渗流燃烧方法的研究 400
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7632002
求助须知:如何正确求助?哪些是违规求助? 9206365
关于积分的说明 19744385
捐赠科研通 7201289
什么是DOI,文献DOI怎么找? 3274729
关于科研通互助平台的介绍 2436616
邀请新用户注册赠送积分活动 2271356