亲爱的研友该休息了!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!身体可是革命的本钱,早点休息,好梦!

Distributed virtual simulation experimental software for high-power electric traction system of 600 km/h high-speed maglev train

磁悬浮列车 牵引(地质) 汽车工程 软件 牵引电网 功率(物理) 工程类 计算机科学 电气工程 机械工程 物理 操作系统 量子力学
作者
Tao Li,Minqi Wang,Yuxin Qin,Xiaoting Wu,Dengke Li,Po Yang,Rongjun Ding,Jun Yang
出处
期刊:Advances in Engineering Software [Elsevier BV]
卷期号:192: 103627-103627
标识
DOI:10.1016/j.advengsoft.2024.103627
摘要

The operational speed of high-speed maglev trains has reached a groundbreaking 600 km/h, facilitating faster intercity transportation. However, the design and verification of corresponding high-power electric traction systems face significant challenges. To address these issues, this study develops a distributed virtual simulation experimental software for the high-power electric traction system of a 600 km/h high-speed maglev train. The software first establishes virtual digital models for the high-speed maglev train, the high-speed maglev guideways, and the high-power electric traction converters to simulate the high-speed maglev line operation scenarios. Next, it constructs a client–server simulation software architecture, designs a human–machine interaction platform and an electric traction mathematical module, and devises an information exchange method to enable real-time tracking and display for the operating conditions of high-power electric traction systems. Lastly, by integrating electric traction control strategies, fault analysis and optimization design modules, the software effectively designs and verifies the optimal electric traction systems of high-speed maglev trains, and promptly identifies the potential faults in long stator linear synchronous motors and high-power electric traction converters within the electric traction systems. Engineering applications demonstrate that the software can significantly enhance the design and virtual simulation efficiency for the high-power electric traction systems of high-speed maglev trains, thus meeting critical engineering application needs.

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
阿巴完成签到,获得积分10
6秒前
didididm完成签到,获得积分10
10秒前
桐桐应助科研通管家采纳,获得10
17秒前
21秒前
44秒前
50秒前
51秒前
1分钟前
1分钟前
Criminology34举报草木生求助涉嫌违规
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
1分钟前
Sparrow0011发布了新的文献求助10
1分钟前
hawz发布了新的文献求助10
1分钟前
Kao应助hawz采纳,获得10
2分钟前
今后应助hawz采纳,获得10
2分钟前
Jasper应助jiang采纳,获得10
2分钟前
SciGPT应助Sparrow0011采纳,获得10
2分钟前
思源应助科研通管家采纳,获得30
2分钟前
Copyright应助ASRI12349采纳,获得10
2分钟前
科研通AI6.4应助酥酥采纳,获得10
2分钟前
2分钟前
AliEmbark完成签到,获得积分10
2分钟前
君莫笑发布了新的文献求助10
2分钟前
2分钟前
2分钟前
3分钟前
Criminology34应助Sundstein采纳,获得30
3分钟前
3分钟前
3分钟前
3分钟前
充电宝应助Jodie采纳,获得10
3分钟前
轮子完成签到,获得积分10
3分钟前
4分钟前
4分钟前
星辰大海应助科研通管家采纳,获得10
4分钟前
jiang发布了新的文献求助10
4分钟前
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
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
CLSI M07 2024 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 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 7247708
求助须知:如何正确求助?哪些是违规求助? 8870700
关于积分的说明 18712127
捐赠科研通 6925956
什么是DOI,文献DOI怎么找? 3197998
关于科研通互助平台的介绍 2373767
邀请新用户注册赠送积分活动 2172879