已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Simplified control of TAB converter for scalable multibattery charging system

解耦(概率) 转换器 电子工程 MATLAB语言 可扩展性 计算机科学 电气工程 电力系统 工程类 功率(物理) 电压 控制工程 物理 量子力学 数据库 操作系统
作者
Anand Panchbhai,Amritesh Kumar
出处
期刊:International Journal of Circuit Theory and Applications [Wiley]
卷期号:52 (8): 3797-3816
标识
DOI:10.1002/cta.3953
摘要

Summary The integration of distributed energy resources (DERs) into DC microgrids has become commonplace in many applications, including electric vehicle (EV) systems that use batteries, fuel cells, and supercapacitors as energy storage systems. To make a sustainable charging system for electric vehicles, DERs can be used in conjunction with the grid. In many cases, charging systems based on isolated DC‐DC converters, such as the dual active bridge (DAB) converter, with various controls, are typically used. However, integrating multiple DERs at the common input DC link can result in a loss of isolation in the DAB converter and also leads to problems with circulating current. To maintain isolation, multiple DAB converters can be used, but this increases the system's size. Alternatively, the multiport isolated DC‐DC converter can address such issues but introduces complexities such as cross‐coupling between power flow. This paper proposes a hardware decoupling control methodology for a triple active bridge (TAB) based isolated DC‐DC converter, with power routing features for simultaneously charging two EV's battery stack. Through hardware decoupling control, appropriate passive components are designed and selected to connect with the individual H‐bridges of the TAB for power decoupling. The paper discusses the cross‐coupling issue in the TAB and describes a methodology derived from mathematical expressions for achieving power decoupling. For validation of the control, a 5 kW system is modeled in MATLAB Simulink, and the results demonstrate how the proposed approach overcomes cross‐coupling issues. Further, a 500 W hardware prototype has been developed to validate the proposed approach.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
裘香芦发布了新的文献求助10
1秒前
李健的小迷弟应助七安采纳,获得10
3秒前
4秒前
4秒前
5秒前
12erf完成签到,获得积分10
6秒前
小刘医生发布了新的文献求助10
7秒前
9秒前
nn发布了新的文献求助10
10秒前
深情安青应助箴言Julius采纳,获得10
10秒前
张张发布了新的文献求助10
11秒前
13秒前
浮游应助麻瓜采纳,获得10
14秒前
浮游应助麻瓜采纳,获得10
14秒前
Ava应助1234采纳,获得10
16秒前
cx发布了新的文献求助10
16秒前
18秒前
嘿嘿应助喵喵采纳,获得10
18秒前
fly发布了新的文献求助10
18秒前
SciGPT应助文静修杰采纳,获得10
19秒前
19秒前
streamerz完成签到,获得积分10
20秒前
dadadada发布了新的文献求助10
21秒前
隐形曼青应助张张采纳,获得10
22秒前
22秒前
23秒前
Alex应助12erf采纳,获得10
23秒前
bkagyin应助我爱学习采纳,获得10
23秒前
仲秋二三应助HonestLiang采纳,获得10
24秒前
刘小蕊发布了新的文献求助20
25秒前
ggp完成签到,获得积分0
25秒前
共享精神应助ssss采纳,获得10
25秒前
今后应助dongdong采纳,获得10
25秒前
27秒前
29秒前
凌奕添发布了新的文献求助10
30秒前
32秒前
32秒前
传奇3应助可乐子采纳,获得10
34秒前
34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
HIGH DYNAMIC RANGE CMOS IMAGE SENSORS FOR LOW LIGHT APPLICATIONS 1500
Bandwidth Choice for Bias Estimators in Dynamic Nonlinear Panel Models 1000
Constitutional and Administrative Law 1000
The Social Work Ethics Casebook: Cases and Commentary (revised 2nd ed.). Frederic G. Reamer 800
Holistic Discourse Analysis 600
Vertébrés continentaux du Crétacé supérieur de Provence (Sud-Est de la France) 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5355792
求助须知:如何正确求助?哪些是违规求助? 4487641
关于积分的说明 13970761
捐赠科研通 4388399
什么是DOI,文献DOI怎么找? 2411058
邀请新用户注册赠送积分活动 1403632
关于科研通互助平台的介绍 1377189