Year: 2025
Type: article
Abstract: This research presents the design and simulation of an advanced Battery Management System (BMS) integrated with a solar-powered electric vehicle (EV) fast-charging station, highlighting its potential to revolutionize energy storage and charging technologies. The system architecture was modeled and simulated using MATLAB/SIMULINK (R-2021a) to develop a 40 kW off-grid EV charging station. The proposed solution utilizes solar energy as a standalone source, employing a Perturb and Observe Maximum Power Point Tracking (MPPT) algorithm to optimize the efficiency of photovoltaic (PV) panels under varying irradiation and temperature conditions (1000 W/m² and 25°C–40°C, respectively). A key innovation in this system is the implementation of fast-charging capabilities while maintaining off-grid independence, addressing the critical challenge of grid dependency and power outages common in on-grid PV systems. Simulation results demonstrate significantly reduced EV charging times compared to standard benchmarks, reinforcing the efficacy of the developed system in real-world scenarios. The findings not only fulfill the research objectives but also emphasize the transformative potential of advanced BMS frameworks in supporting the increasing demand for efficient, sustainable, and reliable energy solutions. This study contributes to the ongoing development of next-generation automotive technologies and lays the groundwork for future innovations in renewable- powered infrastructure.
Institution: Sanjay Ghodawat University
Language: English
Field: Energy
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4412046534