Bi-Directional Power Control in Grid-Connected Electric Vehicle On-Board Chargers using Spider Wasp Optimization

The bi-directional power control in electric vehicle (EV) on-board chargers aims to maximize charging performance while minimizing size and cost of the system. This presents an increasing technical challenge that further complication of thermal management through greater integration of power conversion components may impact system reliability, efficiency, and longevity. By address these issues this paper proposes a Spider Wasp Optimization (SWO) for enhancing stability in bi-directional power control in EV on-board chargers. The objective is to minimize Total Harmonic Distortion (THD) in EV on-board chargers. By optimizing the converter's parameters, SWO effectively reduces harmonic distortions, leading to improved power quality and smoother operation of bi-directional power control in EV on-board chargers. By then the proposed SWO method is implemented in MATLAB platform and evaluated their performance with various existing methods such as Improved Particle Swarm Optimization (IPSO), Intelligent Neural Herd based Water Drop Optimization (INHWDO), Squirrel Wolf Optimization algorithm (SWOA), Wild Horse-Particle Swarm Optimization (WHPSO) and Assailant Inspired Chimp Optimization Algorithm (AICOA). The proposed SWO method outperforms all the others with the lowest THD of 2.008%, indicating its superior performance in reducing harmonic distortion.