The rising acceptance of electric cars (EVs) as a sustainable form of transportation has resulted in a greater demand for readily available charging stations. However, fast charging stations—especially the ultra-fast ones—can seriously tax the power grid due to potential overloads during peak hours, unplanned power outages, and voltage dips. This paper presents detailed modeling of a multiport converter-based battery energy storage system and DC power generating system integrated into an EV charging station. The study evaluates the feasibility of deploying Plug-in Electric Vehicles (PEVs) in Vehicle-to-Home (V2H) situations, where the vehicle serves as a backup generator and/or household battery storage system, particularly during temporary distribution system failures or power outages. Simulation and experiment data validate the feasibility of the proposed Multi-Mode Converter (PCMM) and demonstrate its capacity to achieve design objectives. This charger's construction and functionality were assessed using a comprehensive simulation analysis in conjunction with a space vector modulation technique. The results of the simulation indicate that in a typical home, the recommended charger would work well with a sufficient autonomous Energy Management System (EMS). Enhancing performance with an Artificial Neural Network (ANN) Controller strengthens the system's ability to regulate EV charging conditions. In the current system, the Proportional-Integral (PI) Controller is used.