Siddharth Tripathi, M. Gumma, Srinivasarao Potarlanka
{"title":"Virtual design optimization of a BLDC motor for a two wheeler electric cargo vehicle","authors":"Siddharth Tripathi, M. Gumma, Srinivasarao Potarlanka","doi":"10.1109/ASIANCON55314.2022.9909490","DOIUrl":null,"url":null,"abstract":"This paper focuses on developing an optimized design of a brushless DC motor (BLDCM) for an electric two-wheeler cargo vehicle. Designing an electric motor for a two-wheeler presents several challenges as the design must be highly optimized for size, mass and cost while also delivering the required torque and speed at various loads and road gradients. The motor design presented in this paper takes the aforementioned considerations into account and focuses on the optimization of motor design. The optimization of motor design is performed using response surface methodology while considering the design of the motor as a multiple response problem. The designed motor is further analyzed using 2-D finite element analysis (FEA) and the performance charts of the motor are obtained.","PeriodicalId":429704,"journal":{"name":"2022 2nd Asian Conference on Innovation in Technology (ASIANCON)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 2nd Asian Conference on Innovation in Technology (ASIANCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASIANCON55314.2022.9909490","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper focuses on developing an optimized design of a brushless DC motor (BLDCM) for an electric two-wheeler cargo vehicle. Designing an electric motor for a two-wheeler presents several challenges as the design must be highly optimized for size, mass and cost while also delivering the required torque and speed at various loads and road gradients. The motor design presented in this paper takes the aforementioned considerations into account and focuses on the optimization of motor design. The optimization of motor design is performed using response surface methodology while considering the design of the motor as a multiple response problem. The designed motor is further analyzed using 2-D finite element analysis (FEA) and the performance charts of the motor are obtained.