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

Gör, Halil1; Dalcalı, Adem2

Published Feb 23, 2024 on Dryad. https://doi.org/10.5061/dryad.cz8w9gj98

Cite 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 [Dataset]. Dryad. https://doi.org/10.5061/dryad.cz8w9gj98

Abstract

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 parameter" and efficiency. A very high negative correlation (-1) was found between “distance from duct bottom to shaft surface” and efficiency. The optimized motor design achieves a theoretical improvement of around 7% in efficiency, reaching an overall efficiency of 89.86%. This study highlights the consideration of multiple factors such as efficiency, cogging torque, and weight in the design process for the development of sustainable and high-performance electric vehicle motor designs.

README: 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 [Dataset]. Dryad. https://doi.org/10.5061/dryad.cz8w9gj98

  1. DATA & FILE OVERVIEW

File List:

A. Cogging_torque_data.xlsx
B. Efficiency_data.xlsx

  1. DATA-SPECIFIC INFORMATION FOR:

A. Cogging_torque_data.xlsx

  1. Number of variables: 32

  2. Number of cases/rows: 2 (Initial, Optimized)

  3. Variable List:

* Rotor angle (deg): rotor angle of the study (0 deg - 15 deg)

* Torque (mNm): cogging torque of the motor (mNm: milliNewtonmeter)

B. Efficiency_data.xlsx

  1. Number of variables: 4

  2. Variable List:

* X1: Flat-bottom duct (mm), (0 mm-4 mm)

* X2: Distance from duct bottom to shaft surface (mm), (1 mm - 5 mm)

* X3: Magnet duct dimension (mm), (0.5 mm - 4 mm)

* X4: Magnet thickness (mm), (2 mm - 6 mm)

* Efficiency (%)

Methods

The efficiency (%) and cogging torque values obtained in the study were obtained using the Ansys Electronics EM Suite 19.2 version.