Hybrid PV-Fuel Cell Powered EV Charging System With Intelligent State-Of-Charge Monitoring And Control Using RNN

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Chitra, L and Anbarasu, P and Anthony Fernandans, G and Kalaimani, S (2025) Hybrid PV-Fuel Cell Powered EV Charging System With Intelligent State-Of-Charge Monitoring And Control Using RNN. In: Hybrid PV-Fuel Cell Powered EV Charging System with Intelligent State-of-Charge Monitoring and Control Using RNN.

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Abstract

This paper introduces a hybrid power system for Electric Vehicle (EV) charging, integrating photovoltaic (PV) panels and fuel cells with Recurrent Neural Network (RNN)-based State-of-Charge (SoC) monitoring and control. It optimizes energy allocation among PV panels, fuel cells, and the EV battery, improving charging efficiency and reliability. MATLAB simulations show 91% effectiveness and reduced total harmonic distortion (THD) of 0.89%, offering an eco-friendly EV charging solution.

Item Type: Conference or Workshop Item (Paper)
Subjects: Engineering > Electrical and Electronic Engineering
Divisions: Engineering and Technology > Aarupadai Veedu Institute of Technology, Chennai > Electrical & Electronics Engineering
Depositing User: Unnamed user with email techsupport@mosys.org
Date Deposited: 25 Nov 2025 09:05
Last Modified: 25 Nov 2025 09:05
URI: https://vmuir.mosys.org/id/eprint/957

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