• Ritu Bhoi
• Dr. Ritesh Diwan

Abstract The proposed fuzzy logic-based multi-port DC-DC converter system demonstrated outstanding performance in managing hybrid energy sources for electric vehicle applications. Simulated in MATLAB/Simulink, the system efficiently integrated photovoltaic (PV) power, battery storage, and grid interaction to ensure seamless energy delivery. Key results highlight that the DC bus voltage rapidly stabilized at ~400V post-initial transients, ensuring reliable converter operation. PV power output peaked at ~4000W under full irradiance and successfully adapted to variable conditions through MPPT control. When PV output dropped, the system responded dynamically: the battery compensated by adjusting charge/discharge cycles based on SOC, and the grid provided backup to maintain a consistent 3000W load. The inverter maintained grid voltage synchronization and frequency stability (~50 Hz), while the LCL filter reduced harmonic distortion. The fuzzy logic controller optimized power flow decisions in real time, enabling highly adaptive energy management. Importantly, the sum of currents at the DC bus approached zero, confirming near-perfect power balancing across all ports. The battery SOC increased consistently when surplus PV power was available and remained stable otherwise. These outcomes validate the system’s resilience, high efficiency, and intelligent control, showcasing its suitability for next-generation EV and smart grid applications.

keywords: Fuzzy Logic Control, Multi-Port DC-DC Converter, Electric Vehicles (EVs), Photovoltaic (PV) Integration, Energy Management System (EMS)

"Intelligent Control of Multi-Port DC-DC Converters for Electric Vehicles with Solar and Battery Energy Integration.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 11, page no.g315-g326, November-2025, Available :http://www.jetir.org/papers/JETIR2511687.pdf

"Intelligent Control of Multi-Port DC-DC Converters for Electric Vehicles with Solar and Battery Energy Integration.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 11, page no. ppg315-g326, November-2025, Available at : http://www.jetir.org/papers/JETIR2511687.pdf