| Issue |
E3S Web Conf.
Volume 391, 2023
4th International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED-ICMPC 2023)
|
|
|---|---|---|
| Article Number | 01177 | |
| Number of page(s) | 13 | |
| DOI | https://doi.org/10.1051/e3sconf/202339101177 | |
| Published online | 05 June 2023 | |
Parameter estimation and analysis of BLDC motor drive for electric vehicles application
1 Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, Telangana India
2 Computer Technical Engineering Department, College of Technical Engineering, The Islamic University, Najaf, Iraq
* Corresponding author: vinaykumaar.a@gmail.com
This paper focuses on motor parameters of the Brushless DC motor. This main goal of this work is to demonstrate that BLDC motors are the best electric motor for electric vehicles. Due to their increased efficiency and reduced maintenance requirements, brushless DC motors are used. The paper proposes a framework to analyze Brushless DC motor characteristics using Code Composer Studio software and InstaSpin BLDC GUI. The framework's features, experimental results, and potential benefits are likely discussed in the paper. Simulink is used to resemble a BLDC motor with an ideal Back-Electro Motive Force (BEMF) voltage and its control drive. Experimental results have confirmed that the BLDC motor driving model predicts BLDC motor operation properly. Additionally, the BLDC motor parameter are estimated using Field-Oriented Control (FOC) mode. Both the simulation results and the hardware results have been presented.
Key words: BLDC motor / InstaSpin FOC / code composer studio (CCS) / TMS320F28027 / DRV8301 / GUI
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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