DOI: 10.5061/dryad.cz8w9gj98
title: Data from: Design and optimization of a high-performance multi-barrier IPMS motor for an electric scooter and bicycle

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