International Journal of Power Electronics and Drive Systems (IJPEDS) Vol. 15, No. 1, March 2024, pp. 147~159 ISSN: 2088-8694, DOI: 10.11591/ijpeds.v15.i1.pp147-159  147 Journal homepage: http://ijpeds.iaescore.com Modified switching control of SRM drives for electric vehicles application with torque ripple reduction Sreeram Krishnamoorthy, Preetha Parakkat Kesava Panikkar Department of Electrical and Electronics Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, India Article Info ABSTRACT Article history: Received Apr 19, 2023 Revised Aug 30, 2023 Accepted Sep 16, 2023 The switched reluctance motor (SRM) offers extensive prospects, particularly within the realm of electric vehicles (EVs). Its robust construction, wide speed range, high torque density, and efficiency provide significant advantages that surpass other motors. Nonetheless, controlling these motors is more intricate when compared to conventional DC brushed or AC motors. This complexity arises due to the non-linear inductance characteristics of SRMs, resulting in undesirable effects like torque ripple, vibrations, and noise. Using the conventional full-bridge inverter, three switching approaches are highlighted for various operating modes of an EV. This aims to reduce costs and the number of switching pulses, leading to a more compact system, elimination of dead time, and switching losses. The MATLAB/Simulink platform was utilized to examine the operational effectiveness of a three-phase 6/4 poles SRM drive. Additionally, this paper focuses on mitigating torque ripple concerns by employing an adaptive neuro-fuzzy inference system (ANFIS) controller that has better efficiency and superior responses compared to conventional controllers such as fuzzy logic control (FLC) and proportional integral (PI) control. The results of the simulation encourage the practical implementation of the system, which is the next step in the author’s research. Keywords: Electric vehicle Machine modeling Switched reluctance motor Torque ripple Traction motor This is an open access article under the CC BY-SA license. Corresponding Author: Sreeram Krishnamoorthy Department of Electrical and Electronics Engineering, Amrita Vishwa Vidyapeetham Amritapuri, India Email: sreeram@am.amrita.edu 1. INTRODUCTION Electric vehicles (EVs) have achieved recognition due to their environmentally friendly nature [1]. They have the potential to mitigate greenhouse gas (GHG) emissions, pollution, and noise, while cutting down on fuel costs associated with traditional vehicles [2]. They contribute to the stability of the power grid by integrating renewable energy sources like solar and wind generation to cope with the sudden increases in power demand [3]. A crucial component of the electric vehicle charging system (EVCS) is smart charging, which serves multiple purposes including battery recharging, grid support by providing reactive power compensation, reducing harmonics, and enabling bidirectional power flow with the grid [4]. EVs can enhance the power quality of the utility grid. However, designing EVs comes with significant challenges such as cost, space limitations, flexibility, energy efficiency, and voltage management [5]. For instance, there have been recent advancements in the power electronic converters for EVs, like integrated power converters that have superior efficiency, reduced output ripple, and compact size compared to conventional converters [6]. The motor selection criteria for electric vehicles (EVs) encompass several key design parameters, such as a torque-speed profile, reliability, power-to-weight ratio, efficiency, controller expenses, and overall price [7]. Induction motors (IM) have been widely used in EVs for their simplicity, robustness, and reliability, making them suitable for various automotive applications. They however suffer from lower efficiency at low