Small-Signal Modeling and Fuzzy Logic–Based Stability Enhancement of Grid-Interactive PV-Fed Electric Vehicle Charger

Paper ID: EIJTEM_2025_12_4_116-126

Author's Name: Rapala Rishika, Dr. S. Jagadish Kumar

Volume: 12

Issue: 4

Year: 2025

Page No: 116-126

Abstract:

The grid-interactive photovoltaic (PV) system presented in this study is designed specifically for electric vehicle (EV) charging applications, with a detailed analysis of its stability characteristics. A small-signal model of the system is developed by averaging and linearizing the state-space equations, enabling identification of the conditions required for stable operation of the PV-integrated charger. The proposed system employs a coordinated control strategy between multiple converters to maintain power balance among the PV source, the grid, and the EV load. System stability is examined using root-locus analysis, and further enhanced by incorporating a Fuzzy Logic Controller (FLC) to improve dynamic response, robustness, and overall reliability. The proposed framework provides a generalized approach for modeling EV charging systems integrated with multiple energy sources and highlights the importance of dynamic interaction among them. Moreover, the system supports bidirectional power flow, allowing excess PV-generated energy to be transferred back to the grid during non-charging periods. The performance and effectiveness of the proposed approach are validated through MATLAB/Simulink simulations under varying solar irradiation levels and grid disturbance conditions, demonstrating improved stability and operational efficiency.

Keywords: Electric vehicle charger, maximum power point tracking, photo voltaic system, power factor correction, small signal mode.

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