A design analysis of EV charging using multiport converter and control strategy using MWOA

Abstract

Recently, there is a massive growth of electric cars and renewable Electric Vehicles (EVs). The hybrid energy sources like Photovoltaic (PV), and battery system is employed for EV system as an input. The energy and battery sources are converted using Multi-port DC-to-DC converter. In this study, we propose a multiport converter-based EV charging system that utilizes both PV and battery sources. The multiport DC-to-DC converter manages the energy flow from these sources to the EVs. The modified whale optimization algorithm (MWOA) is employed to optimize the PWM duty cycle and controller parameters for enhanced performance. A brief modeling of the multiport converter-dependent charging station for EV to integrate power generation of PV, battery energy storage system is employed using MATLAB software. An EV charging control strategy is presented finally. Besides, the switching operation to charge and discharge the battery source are carried based on demand requirements of EV's. The simulation outcomes are estimated and the outcomes of PV and batter power, SOC charging percentage, and EV charging current is projected. Also, the proposed method based on multiport converter system integrated with PV and battery offers enhanced rate of stabilization which includes voltage gain, current ripple, efficiency, switching loss, THD, conduction loss, duty cycle. The outcomes compared reveals that the proposed strategy is offering enhanced outcome than others.