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@article{186203,
        author = {GOPARAJU V KRISHNA RAO and T R JYOTHSNA},
        title = {Dynamic Performance Comparison of PI and Fuzzy Logic Controllers in a Solar-Powered Off-Board EV Charging Architecture},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {1577-1588},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186203},
        abstract = {The rapid adoption of electric vehicles (EVs) has created an urgent need for efficient, sustainable, and intelligent charging systems. Conventional grid-connected charging stations increase stress on the utility network and contribute to high energy demand during peak hours. To address this challenge, this thesis proposes a photovoltaic (PV) array–based off-board electric vehicle battery charging system incorporating a hybrid Proportional–Integral (PI) and Fuzzy Logic Controller. The system is designed to maintain constant output voltage and ensure reliable battery charging despite fluctuations in solar irradiance and load demand. The proposed charger employs a Single-Ended Primary Inductance Converter (SEPIC) for voltage regulation and a Bidirectional Interleaved DC–DC Converter (BIDC) for power flow management between the PV array, a backup battery bank, and the EV battery.  The hybrid control strategy combines the steady-state accuracy of the PI controller with the adaptive non-linear control capability of fuzzy logic, thereby improving the transient and steady-state performance of the system. The model is developed and simulated using MATLAB/Simulink to evaluate dynamic response, voltage regulation, and converter efficiency under different operating conditions. The simulation results demonstrate that the hybrid controller significantly enhances voltage stability, reduces overshoot, and achieves superior dynamic performance compared to the conventional PI controller, confirming its suitability for renewable-energy-driven EV charging systems.},
        keywords = {Battery Management System (BMS), Adaptive Sliding Mode Controller (ASMC), Lithium-ion Battery (Li-ion), Electric Vehicles (EVs),, MATLAB/Simulink.},
        month = {November},
        }