A Hybrid Analytical Method for On-Load Performance Prediction of Delta-Type IPM Motors Based on Equivalent Air-Gap Function

磁铁 定子 剩磁 气隙(管道) 有限元法 磁路 磁场 转子(电动) 相对渗透率 控制理论(社会学) 磁化 机械 数学分析 拓扑(电路) 机械工程 物理 工程类 材料科学 数学 计算机科学 电气工程 结构工程 复合材料 人工智能 控制(管理) 量子力学 多孔性
作者
Pengfei Wu,Yanhua Sun
出处
期刊:IEEE Transactions on Transportation Electrification [Institute of Electrical and Electronics Engineers]
卷期号:10 (3): 4919-4929
标识
DOI:10.1109/tte.2023.3326175
摘要

This paper presents a hybrid analytical method for calculating the on-load magnetic field distribution(MFD) and performance predictions in delta-type interior permanent magnet (IPM) machines. Referring to the idea of the lumped magnetic equivalent circuit(MEC) method, the simplest surface-inset model is established to equivale the delta-type IPM rotor with two-layered rectangular magnets, magnetic barriers and saturated iron bridges. According to the Halbach array magnets, the magnetization of the equivalent surface-inset magnet is pertinently set to have the ability to reflect the two steps in the open circuit air gap flux density of the two-layer delta-type IPM motor. In view of the equivalence of stator and rotor magnetic fields, the relative permeability and the remanence distribution of the equivalent surface-inset magnet are obtained by the relative air gap function and MEC method. And the stator with equal width slot are also simplified according to polar coordinates. Detailed theoretical explanations of obtaining the relative permeability and remanence of the equivalent surface-inset magnet are provided. On the basis of the already obtained surface-inset subdomain model, the subdomain method is used to calculate the MFD in the air gap and predicte performances of the delta-type IPM machine. The finite-element technique (FEM) and experiment are used to confirm the analytical results under the no-load and on-load conditions. The analytical method proposed in this article is not only limited to the delta-type IPM machines but also can be applied to other multi-layered and multi-segmented IPM motors.
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
刚刚
夏硕士完成签到,获得积分10
1秒前
Yuliang完成签到,获得积分10
1秒前
ssgg应助希翼采纳,获得10
1秒前
2秒前
2秒前
刘壮壮发布了新的文献求助10
3秒前
3秒前
turbohero完成签到,获得积分10
4秒前
痴情的契发布了新的文献求助10
4秒前
pp完成签到,获得积分10
4秒前
4秒前
香蕉觅云应助Esmayil采纳,获得10
4秒前
wjx发布了新的文献求助10
5秒前
5秒前
5秒前
Kar完成签到 ,获得积分10
5秒前
Liora发布了新的文献求助10
6秒前
6秒前
6秒前
871004188发布了新的文献求助30
7秒前
molihuakai应助失眠尔阳采纳,获得10
7秒前
xing_xing应助洛伊儿采纳,获得20
7秒前
华仔应助咖灰元元采纳,获得10
8秒前
难过的糜完成签到,获得积分10
8秒前
细心蚂蚁完成签到,获得积分10
8秒前
陈词滥调发布了新的文献求助20
9秒前
在水一方应助Baylin采纳,获得10
9秒前
星辰大海应助纯情的天蓝采纳,获得10
10秒前
动听衬衫发布了新的文献求助10
10秒前
10秒前
xing_xing应助榴莲奶黄包采纳,获得20
10秒前
甜甜如霜发布了新的文献求助10
11秒前
GG发布了新的文献求助10
12秒前
wanci应助孙贝宁采纳,获得10
12秒前
12秒前
13秒前
老王完成签到,获得积分20
13秒前
wen完成签到,获得积分10
14秒前
xing_xing应助愤怒的小鸟采纳,获得20
14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
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
A Case Study on Hotels as Noncongregate Emergency Living Accommodations for Returning Citizens 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 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7764280
求助须知:如何正确求助?哪些是违规求助? 9308477
关于积分的说明 20306151
捐赠科研通 7348907
什么是DOI,文献DOI怎么找? 3314327
关于科研通互助平台的介绍 2463902
邀请新用户注册赠送积分活动 2328440