Authors: Mounika Baddula, Dr. P. Kowstubha
Abstract: Electric Vehicle-to-Vehicle (V2V) energy transfer is an emerging solution for optimizing charg-ing efficiency and extending the operational range of electric vehicles (EVs). This paper explores an intelligent energy-sharing framework utilizing fuzzy logic-based control for onboard convert-ers to enable seamless and adaptive power exchange between EVs. The proposed system dynam-ically adjusts energy flow based on real-time vehicle parameters such as battery state-of-charge, load demand, and grid availability. By leveraging fuzzy logic optimization, the system enhances energy transfer efficiency, minimizes power losses, and ensures a stable and reliable exchange process. Simulation results demonstrate the effectiveness of the proposed approach in improving energy utilization while maintaining vehicle battery health. This study contributes to the advance-ment of smart energy management in EV networks, paving the way for more sustainable and decentralized charging solution. The complete system is modelled and simulated using MATLAB/Simulink under various operating modes, including forward boost mode and reverse buck mode. Simulation results such as battery SOC, output voltage, output current, and power transfer characteristics are analyzed to evaluate system performance. The results demonstrate that the proposed V2V energy transfer system achieves efficient bidirectional power flow, reduced overshoot, improved voltage stability, and enhanced charging performance. The proposed ap-proach offers a reliable and efficient solution for future smart electric vehicle energy management systems and sustainable transportation.
DOI: http://doi.org/10.5281/zenodo.20198937
