Title: Optimising direct torque control with battery power management for open-end winding induction motor drive in electric vehicles using the light spectrum optimiser algorithm

Authors: Ahmad Omar Deab; K. Karthikumar; S. Ramesh

Addresses: Department of Electrical and Electronics Engineering, Vel. Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, Tamil Nadu, India ' Department of Electrical and Electronics Engineering, Vel. Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, Tamil Nadu, India ' Department of Electrical and Electronics Engineering, Vel. Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, Tamil Nadu, India

Abstract: This paper proposes an efficient light spectrum optimiser (LSO) for enhancing the direct torque control (DTC) strategy for open-end winding induction motor drives used in electric vehicles (EVs). The purpose is to reduce torque and current ripples while balancing the system's power flow and increasing efficiency. The LSO algorithm is utilised to control the optimal switching states of the inverter. By integrating battery power management and LSO, the goal is to achieve more efficient energy utilisation and improved motor performance. By that point, the proposed model has been used as a working model in MATLAB/Simulink, and the execution has been computed based on the available techniques. The proposed method show's the efficiency is high, the torque and current ripples and the systems power flow are balanced compared to existing methods, like wild horse optimiser (WHO) particle swarm optimisation (PSO) and heap-based optimiser (HBO).

Keywords: electric vehicle; torque; battery power management; voltage source inverter; induction motor; stator flux; pulse width modulation.

DOI: 10.1504/IJEHV.2024.140005

International Journal of Electric and Hybrid Vehicles, 2024 Vol.16 No.3, pp.277 - 296

Received: 30 Oct 2023
Accepted: 20 Nov 2023
Published online: 15 Jul 2024 *

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