EV BATTERY CHARGER WITH IMPROVED DYNAMIC VOLTAGE STABILITY USING SI-PFOA TECHNIQUE

Abstract

The structure for electric vehicle (EV) charging is essential to sustainable energy systems, and its stability and performance depend on creative solutions. A Vienna rectifier-based EV battery charger with a Voltage-Oriented Controller (VOC) is shown in this work. It was optimized using the Self-Improved Polar Fox Optimization Algorithm (SI-PFOA). With parameters  adjusted using hybrid optimization approaches, the system makes use of a Fractional Order Proportional-Integral-Derivative (FOPID) controller. The SI-PFOA improves exploration and exploitation capabilities, surpassing conventional techniques such as Enhanced Differential Evolution Algorithm (EDEA) and Particle Swarm Optimization (PSO). This guarantees improved system dynamics by resolving issues including peak overshoot, rising time, settling time, and input current harmonics. Experimental validation and MATLAB simulations show that the system can meet IEEE-519 Total Harmonic Distortion (THD) criteria while maintaining reliable performance under non-linear and changing load scenarios. The proposed approach greatly improves system stability and efficiency. According to simulation results, output power increased to 1186.5W, voltage control was improved at 660V DC, and THD was reduced to less than 2.5 percent. PSO and EDEA were outperformed by key dynamic parameters such as rising time, settling time, and peak overshoot, which increased to 0.16 seconds, 0.31 seconds, and 2%, respectively. Furthermore, the system demonstrated exceptional voltage and current stability across a variety of conditions, achieving 92% efficiency at peak operation. These developments demonstrate how the SI-PFOA can optimize EV chargers, guaranteeing high performance, dependability, and IEEE standard compliance, making it an achievable option for actual EV charging systems. By then the proposed system is evaluated using the MATLAB Simulink.

DOI: 10.61416/ceai.v27i3.9476