Design and optimization of a high-performance multi-barrier IPMS motor for an electric scooter and bicycle

Acknowledging the growing importance of electric vehicles (EVs) in the face of environmental concerns and increasing mobility needs, this study focuses on enhancing the performance of the electric motor, a critical component in EVs. The electric motor of these battery-powered vehicles is expected to have optimal characteristics and efficiency. This paper presents a comprehensive investigation into the design and optimization of a multi-barrier interior permanent magnet synchronous (IPMS) motor tailored for e-scooters and electric bicycles. A multi-barrier rotor structure is proposed and analyzed through finite element method (FEM) simulations to optimize key design parameters. The parametric analysis examines the influence of geometric variables on key motor performance criteria, including efficiency, cogging torque, and weight. A correlation analysis of the variables was conducted. A very high positive correlation (0.999) was revealed, especially between the \"magnet duct dimension para..., The efficiency (%) and cogging torque values obtained in the study were obtained using the Ansys Electronics EM Suite 19.2 version., , # Design and optimization of a high-performance multi-barrier IPMS motor for an electric scooter and bicycle

This README file was generated on 2024-02-21 by Halil Gör.

GENERAL INFORMATION

1. Title of Dataset: Design and optimization of a high-performance multi-barrier IPMS motor for an electric scooter and bicycle

2. Description of the data and file structure

The efficiency and cogging torque values obtained in the study were obtained using Ansys Electronics EM Suite 19.2 version.
The data obtained using this program is presented here as an Excel file.

1. Code/Software

Ansys Electronics EM Suite 19.2 program was used in the study.

1. Methods
The efficiency and cogging torque values obtained in the study were obtained
using the Ansys Electronics EM Suite 19.2 version.

2. Recommended citation for this dataset:

Gör, Halil; Dalcalı, Adem (2024). Data from: Design and optimization of a high-performance multi-barrier IPMS motor for an electric scooter and bicycle [Datas...