Issue |
E3S Web Conf.
Volume 87, 2019
1st International Conference on Sustainable Energy and Future Electric Transportation (SeFet 2019)
|
|
---|---|---|
Article Number | 01022 | |
Number of page(s) | 7 | |
DOI | https://doi.org/10.1051/e3sconf/20198701022 | |
Published online | 22 February 2019 |
Analysis and Design of PMBLDC Motor for Three Wheeler Electric Vehicle Application
1 Department of Electrical Engineering, Central University of Karnataka, Gulbarga, 585367, India
2 Department of Electrical Engineering, Central University of Karnataka, Gulbarga, 585367, India
* Corresponding author: vsandeep@cuk.ac.in
This paper deals with analysis and design of permanent magnet brushless dc machine (PMBLDCM), primarily aimed for three wheeler applications. The motor sizing accounts for the forces acting on the motor and the design variables such as number of stator and rotor slots, stator and rotor dimensioning, air-gap approximation, slot sizing, flux per pole and permanent magnet sizing has been explained using simplified equations. The designed motor rated at 1.5 kW, 3000 rpm, 120 V radial flux surface mounted permanent magnet rotor, is then assessed using analytical tools for design such as ANSYS’s RMXprt to verify the analytically obtained results. These results are then verified using the computer aided analysis tool, finite element analysis, using ANSYS Maxwell, to obtain the electromagnetic characteristics of the motor for further modification of design.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.