Abstract :

Global Electric Vehicle (EV) Adoption Continues To Increase Rapidly, With Worldwide EV Sales Exceeding 17 Million Units In 2024, While EVs Accounted For More Than 20% Of New Car Sales Globally, Highlighting The Growing Demand For Intelligent Bidirectional Charging Infrastructures. The Rapid Expansion Of Smart Grids And Renewable Energy Integration Has Further Accelerated The Need For Efficient Vehicle-to-Grid (V2G) And Grid-to-Vehicle (G2V) Technologies Capable Of Supporting Grid Stability And Sustainable Energy Management. Bidirectional EV Chargers Are Increasingly Required In Residential, Commercial, And Public Charging Stations To Enable Peak Load Management, Renewable Energy Utilization, Emergency Backup Power, And Grid Ancillary Services. These Applications Demand Fast Dynamic Response, Accurate Power Regulation, And Reliable Bidirectional Energy Transfer Under Varying Operating Conditions. However, Conventional Proportional-integral (PI) Controller-based Chargers Suffer From Fixed Controller Gains, Slower Transient Response, Limited Adaptability To Nonlinear System Dynamics, Increased Steadystate Error, And Reduced Performance Under Fluctuating Grid And Battery Conditions. To Overcome These Limitations, This Paper Proposes An Artificial Neural Network (ANN)-based Bidirectional Battery Charger For Intelligent G2V And V2G Operation. The Proposed Architecture Integrates A Three-phase Isolation Transformer, LCL Filter, Bidirectional AC/DC Converter, DC-link Capacitor, Bidirectional DC/DC Converter, Output Filter, Energy Management System (EMS), And ANN-based Voltage And Current Controllers. Real-time Measurements Of Grid Voltage, Current, Frequency, Battery Voltage, Battery Current, State-of-charge (SoC), And DC-link Voltage Are Processed By The ANN To Generate Adaptive PWM Control Signals For Both Converters. The Proposed Intelligent Controller Achieves Accurate DC-link Voltage Regulation, Superior Current Tracking, Improved Converter Efficiency, Reduced Harmonic Distortion, Enhanced Power Quality, Faster Dynamic Response, And Reliable Bidirectional Energy Transfer, Making It Well Suited For Next-generation Smart-grid-integrated EV Charging Applications.

Published:

21-7-2026

Issue:

Vol. 26 No. 7 (2026)

Page Nos:

985-999

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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