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Research Article |

Adaptive Speed Control of BLDC Motors Based on Fuzzy Inference System Using a PWM Strategy for Electric Vehicles

Author(s): Bambang Sri Kaloko1*,Abdul Kharis Ismail1, Widyono Hadi1, Gamma Aditya Rahardi1, Dani Hari Tunggal Prasetiyo2

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 13, Issue 3

Publisher : FOREX Publication

Published : 30 September 2025

e-ISSN : 2347-470X

Page(s) : 524-535

DOI: https://doi.org/10.37391/IJEER.130317

Abstract

Along with the development of increasingly advanced technology, innovations continue to develop, one of which is in the field of transportation. In line with the rapid advancement of technology, electric vehicles (EVs) have gained significant attention due to their environmental and performance advantages. Among the EV components, the Brushless Direct Current (BLDC) motor stands out due to its high efficiency and minimal maintenance. This paper proposes a speed control system for BLDC motors based on the Fuzzy Inference System (FIS). The system was evaluated through acceleration, deceleration, and energy efficiency tests over a 2400-meter track. Results indicate that the FIS-based controller achieved smoother speed transitions and higher energy efficiency (380.95 km/kWh) compared to open-loop control (358.2 km/kWh). These findings suggest that FIS can enhance the performance and reliability of electric vehicle drivetrains.

Keywords: Electrical Technology, Brushless Direct Current, Fuzzy Inference System, Energy, Efficiency.




Bambang Sri Kaloko, Electrical Engineering, University of Jember, Jember, Indonesia; Email: kaloko@unej.ac.id

Abdul Kharis Ismail, Electrical Engineering, University of Jember, Jember, Indonesia; Email: abdulkharisismail97@gmail.com

Widyono Hadi, Electrical Engineering, University of Jember, Jember, Indonesia; Email: widyono@unej.ac.id

Gamma Aditya Rahardi, Electrical Engineering, University of Jember, Jember, Indonesia; Email: gamma.rahardi@unej.ac.id

Dani Hari Tunggal Prasetiyo, Department of Mechanical Engineering, University of Jember, Jember, Indonesia; Email: dani.hari@unej.ac.id

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Bambang Sri Kaloko, Abdul Kharis Ismail, Widyono Hadi, Gamma Aditya Rahardi, Dani Hari Tunggal Prasetiyo(2025), Adaptive Speed Control of BLDC Motors Based on Fuzzy Inference System Using a PWM Strategy for Electric Vehicles. IJEER 13(3), 524-535. DOI: 10.37391/IJEER.130317.