{"title":"Optimization of high-speed reducer in electric vehicle based on analysis of lubrication","authors":"Fuchun Jia, Xianghuan Liu, Yao Fu","doi":"10.1108/ilt-04-2024-0123","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>The purposes of this paper are optimization of high speed reducer in electric vehicles based on the analysis of lubrication and verification of simulation accuracy and optimization results.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>The traditional CFD method presents poor applicability to complex geometric problems due to grid deformity. Therefore, moving particle semi-implicit (MPS) method is applied in this study to simulate lubrication of the reducer and analyze the influence of input speed and lubrication system design on the distribution. According to the results, the reducer is optimized. Meanwhile, the experiments for lubrication and churning power loss is carried out to verify the accuracy of simulation and optimization effects.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>The flow field of lubricant inside the reducer is obtained. The lubrication system of reducer needs to be improved. Simulation and experiment show that the optimization is sufficient and efficient.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>According to the simulation of lubrication, the reducer is optimized. The lubrication experimental setup is established. The conclusion of paper can provide the method and tool for reducer in electric vehicle.</p><!--/ Abstract__block -->\n<h3>Peer review</h3>\n<p>The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-04-2024-0123/</p><!--/ Abstract__block -->","PeriodicalId":13523,"journal":{"name":"Industrial Lubrication and Tribology","volume":"63 1","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Industrial Lubrication and Tribology","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1108/ilt-04-2024-0123","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose
The purposes of this paper are optimization of high speed reducer in electric vehicles based on the analysis of lubrication and verification of simulation accuracy and optimization results.
Design/methodology/approach
The traditional CFD method presents poor applicability to complex geometric problems due to grid deformity. Therefore, moving particle semi-implicit (MPS) method is applied in this study to simulate lubrication of the reducer and analyze the influence of input speed and lubrication system design on the distribution. According to the results, the reducer is optimized. Meanwhile, the experiments for lubrication and churning power loss is carried out to verify the accuracy of simulation and optimization effects.
Findings
The flow field of lubricant inside the reducer is obtained. The lubrication system of reducer needs to be improved. Simulation and experiment show that the optimization is sufficient and efficient.
Originality/value
According to the simulation of lubrication, the reducer is optimized. The lubrication experimental setup is established. The conclusion of paper can provide the method and tool for reducer in electric vehicle.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-04-2024-0123/
期刊介绍:
Industrial Lubrication and Tribology provides a broad coverage of the materials and techniques employed in tribology. It contains a firm technical news element which brings together and promotes best practice in the three disciplines of tribology, which comprise lubrication, wear and friction. ILT also follows the progress of research into advanced lubricants, bearings, seals, gears and related machinery parts, as well as materials selection. A double-blind peer review process involving the editor and other subject experts ensures the content''s validity and relevance.