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Performance assessments of the material for the traction motor cores of an electric racing kart

  • Uğur Demir

    Uğur Demir received his PhD degree in Mechatronics Engineering from Marmara University in 2018. He has worked extensively on the development of novel electrical machine technologies for electric vehicle traction operations and mechatronics systems. His research interests include the electromagnetic design of electrical machines, artificial neural network applications, autonomous driving, and advanced driving technologies.

    and Zeliha Kamış Kocabıçak

    Zeliha Kamış Kocabıçak received her PhD degree in Mechanical Engineering from Bursa Uludağ University in 2005. She is now an assistant professor at the Department of Automotive Engineering at Bursa Uludağ University. Her main areas of interest are mechatronic systems, electromechanical systems, automatic control, and system dynamics.

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Published/Copyright: June 30, 2021
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Abstract

This paper presents the performance assessments for the traction motor of an electric racing kart, considering the different core materials. Firstly, the appropriate traction motor type is determined as a brushless direct current motor (BLDC) due to the superior features such as torque, efficiency, cooling performance and reliability. Thereafter the BLDC traction motor is optimized in Ansys RMXprt by using Taguchi’s design of experiment (DoE) method in order to meet the vehicle requirements. The BH curves are created for steel sheet (M19_24G), amorphous (2605SA1) and soft magnetic composite (SMC) (Somaloy 1000 3P) in Ansys Maxwell Environment, which are widely used as core materials in the literature. Then, the motor models are analyzed by the finite element method in Ansys Maxwell, and the core materials that can meet the minimum requirements in terms of magnetic flux density and saturation are verified. Finally, the dynamic vehicle model is set up in Ansys Simplorer in order to evaluate the motor performances. For that purpose, a reference speed profile is created by using the measured speed from the Gothenburg carting ring, and the battery consumption characteristic and reference speed tracking performance of the motor models with different cores are evaluated in the driving cycle.


Zeliha Kamis Kocabicak Bursa Uludağ University Engineering Faculty Automotive Engineering Department Görükle, 16059, Bursa, Turkey

About the authors

Uğur Demir

Uğur Demir received his PhD degree in Mechatronics Engineering from Marmara University in 2018. He has worked extensively on the development of novel electrical machine technologies for electric vehicle traction operations and mechatronics systems. His research interests include the electromagnetic design of electrical machines, artificial neural network applications, autonomous driving, and advanced driving technologies.

Zeliha Kamış Kocabıçak

Zeliha Kamış Kocabıçak received her PhD degree in Mechanical Engineering from Bursa Uludağ University in 2005. She is now an assistant professor at the Department of Automotive Engineering at Bursa Uludağ University. Her main areas of interest are mechatronic systems, electromechanical systems, automatic control, and system dynamics.

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Published Online: 2021-06-30
Published in Print: 2021-06-30

© 2021 Walter de Gruyter GmbH, Berlin/Boston, Germany

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