<p>One pivotal aspect of Electric Vehicle (EV) evolution is the development of advanced traction systems that efficiently convert and manage power for vehicle propulsion. The integration of a Permanent Magnet Synchronous Motor (PMSM) with EV is recognized as an ideal choice for propulsion due to its efficiency and performance characteristics. This study focuses on the advancement of EV traction systems by introducing a Photovoltaic based Hybrid Modified Boost–Cuk Converter that operates without conventional batteries. The proposed converter has been developed to efficiently manage power flow between the EV traction system and the grid. The control of the converter’s DC link is optimized using a combination of Particle Swarm Optimization and Adaptive Neuro-Fuzzy Inference System, resulting in enhanced performance and energy utilization. The output from the converter is applied to a Three-Phase Voltage Source Inverter (VSI), which interfaces with PMSM within the EV traction system. The speed of the PMSM is controlled by a Proportional-Integral controller, ensuring precise and efficient control of the motor’s operation. To achieve effective modulation of the VSI output, a Space Vector Pulse Width Modulation generator is employed. This technology refines the quality of the output waveform, leading to smoother motor operation and reduced harmonic distortion. Additionally, the research integrates a Bidirectional Single-Phase VSI connected to the grid which performs energy storage and supplies energy during periods of deficiency. The obtained outputs reveal that the proposed framework with the integration of advanced control strategies ensures efficient motor operation contributing to the development of sustainable and efficient EV traction concept. The overall system is implemented employing MATLAB Simulink, the obtained outcomes prove that developed system achieves maximum efficiency and reduced THD value of 95.5% and 2.35% respectively. </p>