International Journal of Innovative Research in Computer Science and Technology
Year: 2026, Volume: 14, Issue: 4
First page : ( 90) Last page : ( 101)
Online ISSN : 2347-5552
Nakul Datt Chauhan
DOI: 10.55524/ijircst.2026.14.4.8 |
DOI URL: https://doi.org/10.55524/ijircst.2026.14.4.8
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0)http://creativecommons.org/licenses/by/4.0
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Nakul Datt Chauhan , Wazid Ali, Gaurav Gupta
With the growing adoption of electric vehicles (EVs), there is a significant need for sustainable and efficient renewable energy-powered charging stations. An Adaptive Super-Twisting Sliding Mode Control (Adaptive STSMC)-based Energy Management Strategy (EMS) is presented for an EV charging station PV and fuel cell (FC) powered in a DC micro grid. The proposed controller is designed to regulate the power flow between EVs charging load, PV, fuel cell, battery energy storage system and utility grid under various operating conditions. The proposed Adaptive STSMC does not need to define any membership functions and expert-designed control rules, which is also more suitable to deal with the nonlinear behavior of the system and the changing operating conditions in the conventional fuzzy logic-based EMS. The controller is designed in MATLAB/Simulink environment and its performance is compared with the existing fuzzy logic controller. From the simulation results, it is proved that the proposed method has the characteristics of faster dynamic response and better power sharing characteristics, stable system operation and better control performance under the different renewable generation and load demand. Thus, the proposed Adaptive STSMC can be used as an effective and practical solution for energy management in renewable energy-based EV charging stations.
M. Tech Scholar, Department of Electrical Engineering, Faculty of Engineering and Technology, University of Lucknow, Lucknow, Uttar Pradesh, India
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