Improving electric machine performance through the implementation of the field-oriented control algorithm

Abstract

The increasing global push for environmentally conscious policies has encouraged many countries to promote the use of electric-powered machinery, leading to a significant surge in the production of electric vehicles (EVs). As more consumers opt for electric vehicles, there is a concurrent demand for greater efficiency to cater to their needs. One of the key challenges electric vehicle manufacturers face is ensuring that electric motors can deliver power swiftly and accurately to achieve desired speeds. This research paper delves into the development of a motor controller for electric vehicles, utilizing the Field Oriented Control (FOC) approach, which includes the flux controller for three-phase PMSM motors. FOC is a popular technique for motor control, known for its ability to provide precise control and practical application. The paper presents an in-depth exploration of the FOC algorithm, breaking down each component to understand how it contributes to controlling electric motors effectively. A detailed model is developed using MATLAB/Simulink, allowing the researchers to simulate various scenarios and evaluate the outcomes. By conducting this analysis, the paper aims to determine which model parameters yield the most accurate results. The study also examines different conditions and compares the accuracy of their results. Following the simulation, the model with the best accuracy parameters is selected for further testing in real-world scenarios. These tests are conducted to validate the simulation results, ensuring that the proposed motor controller design performs as expected under actual driving conditions. The paper's final section discusses the implications of these findings for electric vehicle technology and offers insights into future developments in this rapidly evolving field.