Evaluation of Control Strategies for Induction Motors in EVs: A Focus on DTC, and Fuzzy Logic DTC

Abstract

The escalating emphasis on environmentally sustainable transportation, driven by an increasing awareness of climate change, is accelerating the adoption of electric vehicles (EVs). A critical technical challenge in this context is the precise control of induction motors (IMs), which serve as the primary propulsion mechanism for these vehicles. Traditional control methodologies, including Field Oriented Control (FOC) and Direct Torque Control (DTC), are hampered by limitations such as susceptibility to motor parameter variations and substantial torque fluctuations, which compromise overall performance. This research seeks to address these constraints by introducing a Fuzzy DTC method, designed to enhance the control of IMs in EVs.