Model Reference Adaptive Controlled Bidirectional Battery Charger for EVs with Vehicle-to-Grid and grid-to-Vehicle Integration
Keywords:
Vehicle-to-Grid (V2G), Grid-to-Vehicle (G2V), Bi-directional battery charger, Model Reference Adoptive Controller (MRAC), Electric Vehicle charging.Abstract
The development of efficient bidirectional battery chargers with both Vehicle-to-Grid (V2G) and Grid-to-Vehicle (G2V) capabilities is required because of the growing popularity of electric cars (EVs). This work presents a controlled bidirectional battery charging system that use an enhanced Marine optimization algorithm-based Model Reference Adaptive Controller (MRAC) to optimize regulation of the grid's and electric vehicles' electrical power flow. The proposed model is represented in MATLAB/Simulink 2021a, and the results show that assessed under different grid settings. Simulation findings validate that the system sustains balanced ensures dependable transitions among vehicle-to-grid (V2G) and grid-to-vehicle (G2V) operations, efficiently regulates the condition of charge (SOC) during battery charging and discharge, and displays three-phase voltage and current waveforms. The electrical voltage of the inverter as well as current waveforms demonstrate exceptional efficiency, characterized by few transients, hence facilitating smooth power flow. The findings confirm the practicality of using an adaptive control-based charging method to optimize energy use, promote stability of the grid, as well as make it easier to integrate modern smart grids with electric automobiles. Future enhancements may include real-time hardware deployment and incorporation of renewable energy sources to augment sustainability.
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