Efficient Power Management Using Fuzzy Logic For Electrical Vehicle Charging Station Based on Hybrid Energy Source
Volume: 12 - Issue: 12 - Date: 01-12-2023
Approved ISSN: 2278-1412
Published Id: IJAECESTU172 | Page No.: 184-189
Author: Jyoti Kumari
Co- Author: Ujjawal Shukla
Abstract:-This paper presents a comprehensive exploration of efficient power management strategies
applied to electrical vehicle (EV) charging stations based on hybrid energy sources, specifically integrating
photovoltaic (PV) and wind energy. The study emphasizes the utilization of fuzzy logic controllers (FLCs) to
optimize the dynamic and often unpredictable nature of renewable energy inputs in the charging
infrastructure.
The proposed methodology involves the modeling of a hybrid system wherein PV and wind energy serve as
primary power sources, complemented by a backup battery for DC power. Fuzzy logic algorithms are
employed to intelligently control the charge distribution within the battery bank, ensuring optimal utilization
and controlled charging. The study further investigates the role of fuzzy logic in fine-tuning inverter control
during power mismatches and implementing pitch control logic to prevent overvoltage situations.
In a departure from traditional Maximum Power Point Tracking (MPPT) methods, the paper introduces a
novel approach, illustrating its application in a hybrid wind-battery system through MATLAB/SIMULINK
simulations. The results demonstrate enhanced performance, stability, and reduced harmonic distortions,
emphasizing the efficacy of the proposed fuzzy logic-based power management strategy.
Key Words:-Electrical Vehicle Charging Stations, Power Management, Hybrid Energy Sources, Sustainable Transportation, Renewable Energy Integration Energy Efficiency
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