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Optimization of BLDC Motor Geometry using Particle Swarm Optimization Algorithm to Achieve Efficiency Balance Across Various Electric Vehicle Traction Requirements Kurniawan Kurniawan; Hasanudin Hasanudin; Agus Dwiyanto; Rivanda Tyaksa Putra
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 7, No 3 (2025): November (Special Issue)
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v7i3.3119

Abstract

Gasoline vehicles (GVs) contribute significantly to global energy crises and environmental pollution, while electric vehicles (EVs) offer a more sustainable alternative. However, the current development and deployment of EVs are largely limited to ideal operating conditions, such as urban roads. To compete effectively with GVs, EVs must have drivetrain systems that maintain high efficiency even in non-ideal environments, including rural areas and rough terrains. This study proposes a geometry optimization method for a 1 kW Brushless DC (BLDC) motor to improve energy efficiency under three primary EV traction scenarios: climbing, acceleration, and cruising. The optimization targets nine geometric parameters—outer and inner stator radius, magnet thickness, rotor yoke thickness, shoe stator thickness, magnet width, shoe stator width, stator pole width, and back-iron thickness. The optimization is performed using a Particle Swarm Optimization (PSO) algorithm integrated with Finite Element Method Magnetics (FEMM) and analytical performance evaluation. The optimization constraints are derived from traction dynamics, weight, and volume limitations based on the regulations of the Indonesian Electric Vehicle Competition (Kompetisi Mobil Listrik Indonesia, KMLI). The results show that the optimized BLDC motor geometry can increase efficiency by up to 24.3% and torque by 11.3% compared to the baseline design. This research contributes a high-efficiency BLDC motor design tailored for dynamic EV traction demands under regulatory and extreme operational constraints, making it highly suitable for further development, including additional performance scenarios such as deceleration and cornering.
Pengaruh Konversi Sistem Karburator Menjadi Sistem Injeksi Terhadap Performa dan Konsumsi Bahan Bakar Sepeda Motor 130cc Hasanudin; Agus Dwiyanto
Machine : Jurnal Teknik Mesin Vol 12 No 1 (2026): Machine : Jurnal Teknik Mesin
Publisher : Jurusan Teknik Mesin Fakultas Sains dan Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/t3q72p50

Abstract

Peningkatan performa mesin dan efisiensi penggunaan bahan bakar merupakan aspek penting dalam perkembangan teknologi otomotif. Penelitian ini bertujuan untuk menganalisis pengaruh konversi sistem bahan bakar dari karburator menjadi sistem injeksi terhadap performa mesin dan konsumsi bahan bakar pada sepeda motor bebek 130 cc. Pengujian dilakukan dengan dua metode, yaitu pengujian performa mesin menggunakan chasis dynamometer dan uji konsumsi bahan bakar dilakukan dengan mengukur volume bahan bakar yang digunakan selama satu menit. Pengujian konsumsi bahan bakar dilakukan pada berbagai kecepatan putaran mesin, yaitu 2000, 3000, 4000, 5000, dan 6000 Rpm. Hasil pengujian menunjukkan bahwa konversi sistem bahan bakar dari karburator ke injeksi meningkatkan performa mesin dan efisiensi bahan bakar. Daya maksimum pada sistem karburator tercacat sebesar 12,2 HP pada 950 Rpm. Sedangkan pada sistem injeksi meningkat menjadi 12,8 HP pada 9500 Rpm. Selain itu, sistem injeksi menunjukkan konsumsi bahan bakar yang lebih hemat pada setiap kecepatan putaran mesin, dengan perbedaan sebesar 5 mL per menit pada putaran mesin 5000 Rpm dibandingkan dengan sistem karburator. Dengan demikian, sistem bahan bakar injeksi terbukti memberikan peningkatan performa dan efisiensi yang signifikan dibanding sistem karburator.Â