Optimizing Design of Magnetic Planetary Gearbox for Reduction of Cogging Torque

Fanchen Kong, Yeming Ge, Xiaoyong Zhu, L. Qiao, L. Quan
{"title":"Optimizing Design of Magnetic Planetary Gearbox for Reduction of Cogging Torque","authors":"Fanchen Kong, Yeming Ge, Xiaoyong Zhu, L. Qiao, L. Quan","doi":"10.1109/VPPC.2013.6671697","DOIUrl":null,"url":null,"abstract":"Compared with the conventional mechanical gears, magnetic gears have some advantages such as low mechanical loss, maintenance-free operation and inherent overload protection. However, the interaction among the permanent magnets on the each part can inevitably produce cogging torque and torque ripple, which may cause noise and vibration. In this paper, a new design method to reduce the cogging torque is presented for the magnetic planetary gearbox. In order to achieve the goal of minimizing the cogging torque and maximizing the transmission efficiency, a global optimization algorithm and the finite element analysis (FEA) are integrated to obtain the best pole arc combination. In the process of size optimization, two optimization methods, single parameter independent optimization and Quasi Newton optimization, are applied respectively. The investigation results indicate that by using the two kinds of optimization algorithm, the cogging torque and torque ripple can be reduced significantly while the transmission efficiency can be greatly improved.","PeriodicalId":119598,"journal":{"name":"2013 IEEE Vehicle Power and Propulsion Conference (VPPC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Vehicle Power and Propulsion Conference (VPPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VPPC.2013.6671697","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

Abstract

Compared with the conventional mechanical gears, magnetic gears have some advantages such as low mechanical loss, maintenance-free operation and inherent overload protection. However, the interaction among the permanent magnets on the each part can inevitably produce cogging torque and torque ripple, which may cause noise and vibration. In this paper, a new design method to reduce the cogging torque is presented for the magnetic planetary gearbox. In order to achieve the goal of minimizing the cogging torque and maximizing the transmission efficiency, a global optimization algorithm and the finite element analysis (FEA) are integrated to obtain the best pole arc combination. In the process of size optimization, two optimization methods, single parameter independent optimization and Quasi Newton optimization, are applied respectively. The investigation results indicate that by using the two kinds of optimization algorithm, the cogging torque and torque ripple can be reduced significantly while the transmission efficiency can be greatly improved.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
减小齿槽转矩的磁性行星齿轮箱优化设计
与传统机械齿轮相比,磁性齿轮具有机械损耗低、免维护运行和固有过载保护等优点。然而,各部件上永磁体之间的相互作用不可避免地会产生齿槽转矩和转矩脉动,从而产生噪声和振动。本文提出了一种减小磁性行星齿轮箱齿槽转矩的新设计方法。为了实现齿槽转矩最小化和传动效率最大化的目标,将全局优化算法与有限元分析相结合,得到最佳极弧组合。在尺寸优化过程中,分别采用了单参数独立优化和准牛顿优化两种优化方法。研究结果表明,两种优化算法均能显著降低齿槽转矩和转矩脉动,提高传动效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Temperature Characteristics Improvement of Power Battery Module for Electric Vehicles Battery State Estimation Using Mixed Kalman/Hinfinity, Adaptive Luenberger and Sliding Mode Observer A Comparison Study of the Model Based SOC Estimation Methods for Lithium-Ion Batteries Modeling for Control and Optimal Design of a Power Steering Pump and an Air Conditioning Compressor Used in Heavy Duty Trucks Verification of the Shifting Mechanism of Clutchless Geared Smart Transmission Using the Compact Car Size Test Bench
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1