Work

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

Year: 2025

Type: article

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.

Source: International Research Journal on Advanced Engineering Hub (IRJAEH)

DOI: 10.47392/irjaeh.2025.0186

Authors: Darshan U. Thakar, Rakeshkumar A. Patel

Institution: Ganpat University

Language: English

Topic: Sensorless Control of Electric Motors

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: diamond

OpenAlex ID: W4409578141

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