scholarly journals Determination of BLDC Motor Capacity for Electric Car Drive

2021 ◽  
Vol 4 (1) ◽  
pp. 120
Author(s):  
Purnawan Purnawan ◽  
Casnan Casnan ◽  
Arief Kurniawan ◽  
Ananda Riski
Keyword(s):  
Vocational Education ◽  
Direct Current ◽  
Electric Motor ◽  
Drive System ◽  
Bldc Motor ◽  
Research Subjects ◽  
Electric Car ◽  
Automotive Technology ◽  
Level 1

The study's objectives were to: determine the type of Brushless Direct Current (BLDC) motor that is right for an electric car drive system with a capacity of one passenger, and Knowing the capacity of the BLDC motor used as an electric car drive system with a capacity of one passenger. This research uses Research and Development (R&D) level 1. The research subjects taken are students and lecturers of Vocational Education, Automotive Technology and Electrical Engineering, Ahmad Dahlan University, totalling eight students four lecturers. Ahmad Dahlan University " AL-QORNI " electric car is planned to use an electric motor type Brushless Direct Current (BLDC) with a capacity of 2000 watts which works with a voltage of 49 volts - 96 volts.

scholarly journals Torque Analysis of 2 KW BLDC (Brushless Direct Current) Motor with Speed Variations in Electric Cars E-Falco

2021 ◽  
Vol 2 (2) ◽  
pp. 76-86
Author(s):  
Bambang Darmono ◽  
Hadi Pranoto ◽  
Zainal Arifin
Keyword(s):  
Direct Current ◽  
Electric Motor ◽  
Peak Torque ◽  
Bldc Motor ◽  
Power Capacity ◽  
Motor Torque ◽  
Electric Cars ◽  
Electric Car ◽  
Torque Analysis ◽  
Brushless Direct Current Motor

The motor releases torque and power to drive an electric car by carrying the load from a start position until it travels at the desired speed. The KMLI E-Falco electric car uses a BLDC type electric motor with a power capacity of 2 kW. To find out the amount of torque of a 2 kW BLDC motor when driving with variations in speed, it can be done by manual calculations using the torque equation and doing a dynotest test. The dynotest results show that the motor torque at the speed: 1 km/h is 1 Nm, 10 km/h is 131 Nm, 13 km/h is 228 Nm, 20 km/h is 225 Nm, 30 km/h is 219 Nm, 40 km / h is 188 Nm, 50 km / hour is 145 Nm, 60 km / h is 113 Nm, and 70 km / h is 85 Nm. From the results of the dynotest, it shows that the peak torque occurs at a speed of 13 km / h at 228 Nm. Racing software installed in the controller can increase the motor torque by four times at a speed variation of 13-70 km/h based on the results of the dynotest above. Keywords: motor, BLDC, torque, speed, acceleration.

scholarly journals A Fast Firefly Algorithm for Function Optimization: Application to the Control of BLDC Motor

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5267
Author(s):  
Smail Bazi ◽  
Redha Benzid ◽  
Yakoub Bazi ◽  
Mohamd Mahmoud Al Rahhal
Keyword(s):  
Direct Current ◽  
Electric Motor ◽  
Firefly Algorithm ◽  
Optimization Problems ◽  
Optimal Solution ◽  
Function Optimization ◽  
Performance Criteria ◽  
Bldc Motor ◽  
Pi Regulator ◽  
Original Algorithm

Firefly Algorithm (FA) is a recent swarm intelligence first introduced by X.S. Yang in 2008. It has been widely used to solve several optimization problems. Since then, many research works were elaborated presenting modified versions intending to improve performances of the standard one. Consequently, this article aims to present an accelerated variant compared to the original Algorithm. Through the resolving of some benchmark functions to reach optimal solution, obtained results demonstrate the superiority of the suggested alternative, so-called Fast Firefly Algorithm (FFA), when faced with those of the standard FA in term of convergence fastness to the global solution according to an almost similar precision. Additionally, a successful application for the control of a brushless direct current electric motor (BLDC) motor by optimization of the Proportional Integral (PI) regulator parameters is given. These parameters are optimized by the FFA, FA, GA, PSO and ABC algorithms using the IAE, ISE, ITAE and ISTE performance criteria.

scholarly journals Mathematical model of an electric car to diagnose its traction qualities on a chassis dynamometer

2021 ◽  
Vol 341 ◽  
pp. 00030
Author(s):  
Aleksandr Fedotov ◽  
Oleg Yan’kov ◽  
Anton Chernyshkov
Keyword(s):  
Mathematical Model ◽  
Electric Vehicle ◽  
Electric Motor ◽  
Vehicle Dynamics ◽  
Analytical Determination ◽  
Torsional Vibrations ◽  
Chassis Dynamometer ◽  
Electric Car

The paper outlines the developed mathematical model of an electric vehicle to control its traction and dynamic qualities on a chassis dynamometer. The purpose of the work is to expand the capabilities of diagnostics and analytical determination of electric vehicle dynamics parameters. The developed mathematical model includes descriptions of the following processes: the operation of the electric motor, torsional vibrations in the transmission of an electric car and the chassis dynamometer, the processes of tires interaction with the circular-shaped surfaces of the chassis dynamometer.

scholarly journals Investigation of Regenerative Braking Performance of Brushless Direct Current Machine Drive System

2021 ◽  
Vol 11 (3) ◽  
pp. 1029
Author(s):  
Omer Cihan Kivanc ◽  
Ozgur Ustun
Keyword(s):  
Direct Current ◽  
Digital Signal Processor ◽  
Internal Resistance ◽  
Drive System ◽  
Performance Estimation ◽  
Regenerative Braking ◽  
Duty Ratio ◽  
Machine Drive ◽  
Resistance Variation ◽  
Specific Duty

The brushless direct current (BLDC) machines which are preferred in light electric vehicles (LEVs) come forward as high regenerative braking capability machines due to their permanent magnet excitation and relatively simple operation. In this paper, the regenerative braking capability limits of BLDC machines and their drive circuits are examined by taking into account nonlinear circuit parameters and battery internal resistance variation. During energy recovery from mechanical port to electrical port, the inverter of BLDC machine is operated as a boost converter which enables power flow to a battery. However, the regeneration performance is also heavily dependant on the battery condition, particularly the temperature. By means of the developed detailed circuit model including the non-ideal effects of the boosting converter and the increase of the internal resistance variation which is caused by the temperature variation of the battery and ambient temperature, the specific duty cycle can be determined. The specific duty ratio is then applied in a proposed approach for various operation scenarios. The experimental tests are implemented by a 400 W BLDC machine drive system controlled via a TMS320F28335 digital signal processor. The experimental results show that the proposed comprehensive model presents a proper performance estimation of regenerative braking system under varying battery temperature.

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