Work

Enhancing Open-End Winding Induction Motor Performance for Fault-Tolerant All-Wheel Drive EVs With ANN-Based DTC

Year: 2025

Type: article

Abstract: This paper presents an advanced control strategy for all-wheel drive (AWD) electric vehicles (EVs) based on artificial neural network (ANN)-enhanced direct torque control (DTC) for open-end winding induction motors (OEWIMs). The proposed ANN dynamically adapts to various inverter faults by optimally utilizing asymmetric voltage vectors, eliminating the need for fault-specific control mechanisms. The proposed control was validated under the FTP 75 drive cycle, demonstrating stable vehicle operation and delivers maximum available torque during faults by adjusting the flux trajectory. The experimental results demonstrate stable and improved EV operation under normal and fault conditions throughout the drive cycles.

Source: IEEE Transactions on Transportation Electrification

DOI: 10.1109/tte.2025.3566711

Authors: Kaif Ahmed Lodi, Abdul R. Beig, Khaled Ali Al Jaafari

Institution: Khalifa University of Science and Technology

Language: English

Topic: Sensorless Control of Electric Motors

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

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

Open Access status: hybrid

Estimated APC paid: $2,645