Gate Control Optimization of Si/SiC Hybrid Switch for Junction Temperature Balance and Power Loss Reduction

绝缘栅双极晶体管 材料科学 转换器 MOSFET 结温 门驱动器 功率(物理) 电气工程 功率半导体器件 电压 控制理论(社会学) 电子工程 计算机科学 功率MOSFET 工程类 控制(管理) 晶体管 物理 人工智能 量子力学
作者
Jun Wang,Zongjian Li,Xi Jiang,Cheng Zeng,Z. John Shen
出处
期刊:IEEE Transactions on Power Electronics [Institute of Electrical and Electronics Engineers]
卷期号:34 (2): 1744-1754 被引量:71
标识
DOI:10.1109/tpel.2018.2829624
摘要

The hybrid switch concept of paralleling a higher-current main Si IGBT and a lower-current auxiliary SiC mosfet offers an improved cost/performance tradeoff in power converters. Currently, the gate control strategy of these two internal devices emphasizes on minimizing the total power loss, and is referred to as the efficiency control mode in this paper. However, there is a serious risk of overheating and reliability degradation of the SiC mosfet if solely relying on this control strategy. In this paper, we propose a new method of gate control optimization, referred to as the thermal balance control mode, to keep the junction temperature of both devices within the specified temperature range, and to minimize the total power loss simultaneously. We first investigate the dependency of the hybrid switch switching losses on the gate control pattern both theoretically and experimentally. We then extensively study control optimization in these two distinct control modes in a dc-dc boost converter. It is found that the thermal balance control mode can achieve almost the same total power loss as the efficiency control mode, but much lower and more balanced junction temperatures of the two internal devices. Experimental results demonstrate that the Si/SiC hybrid switch in an optimal thermal balance control mode can achieve a 163% higher power handling capability in the 20-kHz boost converter or four times higher switching frequency in the 4-kW boost converter than a single IGBT solution with hard switching condition, and yet a considerably lower component cost than a single SiC mosfet solution in the boost converter.

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
大力代秋发布了新的文献求助10
刚刚
科研通AI6.1应助果宝妞妞采纳,获得10
1秒前
开朗发夹完成签到,获得积分10
2秒前
2秒前
情怀应助熊熊熊采纳,获得10
2秒前
大个应助cancan采纳,获得10
3秒前
3秒前
3秒前
3秒前
song发布了新的文献求助10
3秒前
檀宇亭发布了新的文献求助10
3秒前
云生发布了新的文献求助10
3秒前
Wynn完成签到,获得积分10
4秒前
无花果应助颜如南采纳,获得10
5秒前
冷酷紫蓝发布了新的文献求助10
6秒前
7秒前
77发布了新的文献求助10
7秒前
tansy完成签到,获得积分10
8秒前
希望天下0贩的0应助蝴蝶采纳,获得10
8秒前
一颗甜柚完成签到 ,获得积分10
8秒前
9秒前
9秒前
缓慢的一德关注了科研通微信公众号
9秒前
zhaoxuelian完成签到,获得积分10
9秒前
个性芷雪发布了新的文献求助10
10秒前
果宝妞妞完成签到,获得积分10
10秒前
激昂的翠芙完成签到,获得积分10
10秒前
11秒前
科研通AI6.2应助CH采纳,获得10
11秒前
13秒前
咸咸发布了新的文献求助10
13秒前
酷炫的尔丝完成签到 ,获得积分10
14秒前
16秒前
16秒前
刻苦的鱼发布了新的文献求助10
17秒前
彭于晏应助纸飞机采纳,获得10
18秒前
包容诗槐完成签到,获得积分10
18秒前
CodeCraft应助phigoo采纳,获得10
21秒前
全麦面包关注了科研通微信公众号
21秒前
getrich发布了新的文献求助10
22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
Kinesiophobia : a new view of chronic pain behavior 2000
Research for Social Workers 1000
Psychology and Work Today 800
Mastering New Drug Applications: A Step-by-Step Guide (Mastering the FDA Approval Process Book 1) 800
Kinesiophobia : a new view of chronic pain behavior 600
Signals, Systems, and Signal Processing 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5896073
求助须知:如何正确求助?哪些是违规求助? 6708410
关于积分的说明 15732974
捐赠科研通 5018614
什么是DOI,文献DOI怎么找? 2702586
邀请新用户注册赠送积分活动 1649321
关于科研通互助平台的介绍 1598539