A Nature-Inspired Optimization Approach for Vienna Rectifier Control in EV Fast Charging Applications

The growing adoption of electric vehicles (EVs), particularly those utilizing High-Voltage battery systems, demands fast-charging infrastructure that ensures high efficiency and power quality. The proposed GJO algorithm is employed to optimize the control and switching parameters of the Vienna rectifier, thereby improving harmonic performance and conversion efficiency without altering the converter hardware. This paper focuses solely on control optimization of the Vienna rectifier topology and does not include DC–DC isolation or galvanic separation. Filter components are modeled with equivalent series resistance (ESR) to account for incremental losses. Simulation results demonstrate that the Golden Jackal optimization (GJO) based control reduces input current THD to 2.09%, has a power factor of 0.998, and achieves an efficiency of 98.53%, representing a fractional but consistent improvement over conventional control methods such as SSA, ALO, and PSO. These findings highlight the effectiveness of GJO in enhancing the performance of vienna rectifier-based chargers, establishing it as a promising solution for next-generation high-voltage EV fast-charging infrastructure. However, since the vienna rectifier is a unidirectional converter, the proposed system is limited to grid-to-vehicle operation and does not support reverse power flow (vehicle-to-grid).