ij3dptdi

International Journal of 3D Printing Technologies and Digital Industry

2602-3350 2602-3350

Kerim ÇETİNKAYA

10.46519/ij3dptdi.1835318

Simulation, Modelling, and Programming of Mechatronics Systems Control Engineering, Mechatronics and Robotics (Other)

Mekatronik Sistemlerin Simülasyonu, Modellenmesi ve Programlanması Kontrol Mühendisliği, Mekatronik ve Robotik (Diğer)

MAGNETIC DESIGN OF A BLDC MOTOR FOR ELECTRIC SCOOTERS: A CASE STUDY OF TOGU CAMPUS

https://orcid.org/0009-0002-3096-6060

Aslan

Berat

TOKAT GAZİOSMANPAŞA ÜNİVERSİTESİ, LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, MEKATRONİK MÜHENDİSLİĞİ (YL) (TEZLİ)

https://orcid.org/0000-0003-1085-0968

Eker

Mustafa

TOKAT GAZİOSMANPAŞA ÜNİVERSİTESİ

04 30 2026

10 1 94 103 12 03 2025 02 18 2026

2017

International Journal of 3D Printing Technologies and Digital Industry

The increase in environmental problems caused by fossil fuels has made electric micromobility vehicles strategically important in urban transportation. However, these vehicles with standard equipment experience performance inadequacies in settlements with variable topographic features and high gradients. This study aims to design and analyze the performance of a Brushless Direct Current (BLDC) motor specifically optimized for the challenging topographical conditions of the Tokat Gaziosmanpaşa University (TOGU) campus, which features gradients exceeding 10% in certain regions. To this end, an integrated approach combining analytical design procedures based on vehicle dynamics and topographical constraints with parametric optimization processes using the Finite Element Method (FEM) has been developed. The developed model resulted in an external rotor motor topology that meets the requirements of ~1.5 kW peak power and ~25 Nm torque. Simulation analyses conducted in 2D show that the designed motor operates without entering magnetic saturation even under the most demanding load conditions, exhibits a suitable back-electromotive force (back-EMF) profile, and achieves a high efficiency value of ~91%. Ultimately, this study demonstrates that considering local topographical constraints as design parameters significantly improves energy efficiency and driving performance compared to standard solutions.

BLDC Motor Electric Scooter Optimization Finite Element Method.

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