E3S Web of Conferences (Jan 2023)

Parameter estimation and analysis of BLDC motor drive for electric vehicles application

  • Awaar Vinay Kumar,
  • Simhadri Rajshri,
  • Jalla Tharuni,
  • Bagari Mounika,
  • Aggarapu Siri,
  • Abbas A. Hussien

DOI
https://doi.org/10.1051/e3sconf/202339101177
Journal volume & issue
Vol. 391
p. 01177

Abstract

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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.

Keywords