Loss Characterization and Modeling of Class II Multilayer Ceramic Capacitors: A Synergistic Material-Microstructure-Device Approach

电容器 电容 陶瓷电容器 电介质 介电损耗 拓扑(电路) 材料科学 电子工程 电气工程 算法 数学 物理 电压 工程类 光电子学 电极 量子力学
作者
Yunlei Jiang,Borong Hu,Yanfeng Shen,Xufu Ren,Steve Sandler,Stephan Hofmann,Teng Long
出处
期刊:IEEE Transactions on Power Electronics [Institute of Electrical and Electronics Engineers]
卷期号:38 (11): 13535-13554 被引量:3
标识
DOI:10.1109/tpel.2023.3286818
摘要

This paper motivates the loss characterization and modeling of Class II multi-layer ceramic capacitors (MLCCs), which have been widely utilized owing to high energy density, in high-frequency resonant converters. In a resonant tank, MLCCs experience complex electrical operating conditions (e.g., large-signal, high-frequency, DC bias), but the incurred power loss has not been clearly characterized and modeled. This paper first proposes a novel resonant-Sawyer-Tower (Res-ST) circuit which can experimentally extracts the loss of a MLCC in real operation in a resonant tank. A general loss modeling approach named Steinmetz's Pre-electrified Graph (SPeG) is then proposed to correlate capacitor's loss to the peak value of excitation, frequency, and DC bias voltage. The SpeG model provides the material-specific volume loss density of common Class II dielectric materials and can be easily extrapolated to evaluate the loss of the MLCCs with different rated voltage $&$ capacitance but employing the same dielectric material. To generalize the material-specific SPeG model to device-level application, this paper also proposes an easy-to-follow tool, dielectric thickness observer (DTO), to estimate the internal microstructural geometry by tracking the $C$ - $V$ characteristic provided in product datasheet. The synergy of the proposed characterization circuit, SPeG loss model, and DTO establishes a toolkit that enables the estimation of MLCC losses in a manner similar to that of a ferromagnetic inductor/transformer core. This paper is accompanied by microscope images of the investigated MLCC samples and MATLAB scripts of the proposed DTO.

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
sunran发布了新的文献求助10
1秒前
小二郎应助猪蹄强盗采纳,获得10
1秒前
111完成签到,获得积分10
1秒前
nihao世界发布了新的文献求助10
1秒前
2秒前
2秒前
jionie完成签到,获得积分10
2秒前
Malik发布了新的文献求助10
2秒前
3秒前
悠着点儿卷吧完成签到 ,获得积分10
3秒前
王路飞发布了新的文献求助10
4秒前
Xuu发布了新的文献求助10
4秒前
5秒前
尘梦发布了新的文献求助10
5秒前
jionie发布了新的文献求助10
5秒前
大头完成签到,获得积分10
6秒前
ZhijunXiang发布了新的文献求助30
6秒前
momo小方完成签到,获得积分10
7秒前
lalala发布了新的文献求助10
7秒前
领导范儿应助小阅采纳,获得10
7秒前
乐乐应助怡然绝悟采纳,获得10
7秒前
8秒前
情怀应助Malik采纳,获得10
8秒前
小满应助追忆淮采纳,获得10
8秒前
8秒前
8秒前
15852218594完成签到,获得积分20
9秒前
Ava应助纯氧采纳,获得10
9秒前
VDC发布了新的文献求助50
10秒前
11秒前
11秒前
zhulinling发布了新的文献求助10
13秒前
脑洞疼应助刻苦的面包采纳,获得10
13秒前
13秒前
ccc发布了新的文献求助10
14秒前
15秒前
sunran完成签到,获得积分10
15秒前
17秒前
17秒前
18秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
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 7296313
求助须知:如何正确求助?哪些是违规求助? 8914502
关于积分的说明 18876219
捐赠科研通 6962433
什么是DOI,文献DOI怎么找? 3210386
关于科研通互助平台的介绍 2379662
邀请新用户注册赠送积分活动 2186743