scholarly journals Determination of the needed power of an electric motor on the basis of acceleration time of the electric car

Author(s):  
M Sapundzhiev ◽  
I Evtimov ◽  
R Ivanov
2021 ◽  
Vol 4 (1) ◽  
pp. 120
Author(s):  
Purnawan Purnawan ◽  
Casnan Casnan ◽  
Arief Kurniawan ◽  
Ananda Riski

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.


2021 ◽  
Vol 341 ◽  
pp. 00030
Author(s):  
Aleksandr Fedotov ◽  
Oleg Yan’kov ◽  
Anton Chernyshkov

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.


Author(s):  
Hadi Pranoto ◽  
Bambang Darmonoa ◽  
Zainal Arifin ◽  
Ibnu Susanto

To reduce the use of fossil fuels in vehicles and reduce exhaust emissions, it is necessary to use electric vehicle technology. Solidworks software is used in designing and manufacturing an electric car and a simulation is carried out using CFD (Computation Fluid Dynamic) software to determine the strength of the frame structure and air drag when the electric car is running. The performance test of the motor by using the dyno test to determine the acceleration time, power, and torque of the motor. The results of the simulation show that at a speed of 10 km/h the air drag is 6.24 N, a speed of 20 km/h is 24.64 N, and a speed of 40 km/h is 93.92 N. The results of the dyno test shows that the acceleration time with full acceleration from a speed of 0-70 km/h is 13.63 seconds, the maximum power output by the motor is 14.17 hp occurs at a speed of 36-53 km/h and the amount of peak torque released by the motor occurs at a speed of 13 km/h at 228 Nm.


2015 ◽  
Vol 86 (12) ◽  
pp. 716-718 ◽  
Author(s):  
T. A. Funk ◽  
N. M. Saprunova ◽  
E. V. Belousov ◽  
A. M. Zhuravlev

2021 ◽  
Vol 2021 (6) ◽  
pp. 5497-5501
Author(s):  
JOZEF MASCENIK ◽  
◽  
SLAVKO PAVLENKO ◽  

The presented paper provides the alternative options for determining the condition of belt gear based on the testing and monitoring. In order to carry out experimental measurements, a newly developed device for testing, monitoring and diagnostics of belt drives was designed, as well as the possibility of determination of limit states by extreme loads. The designed measuring stand allows to determine the point of destruction of the belt for an extreme load. The process of the belt measurement was to set the predetermined input revolutions of the driving motor by means of the Altivar 71 (FM1) frequency inverter connected to the driving electric motor. The next step in defining the input parameters was to set the load on the driven electric motor. The load on the driven motor was achieved by the torsional moment set by means of the Altivar 71 (FM2) frequency inverter connected to the driven electric motor. In the paper, the analytical calculation is processed. The article mainly points to the innovation of the stand for testing belt transmissions.


2018 ◽  
Author(s):  
Sergey Antonov ◽  
Gennady Nikitenko ◽  
Vitaly Grinchenko ◽  
Anatoly Molchanov ◽  
Valentina Avdeeva

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