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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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ENHANCED BIDIRECTIONAL WIREL ESS POWER TRANSFER FOR ELECTRIC VEHICLES USING PSO BASED SMC WITH PHASE SHIFT MODULATION

Authors: S. Gayathri; D. Hima Bindu; S.Sakunthala;

ENHANCED BIDIRECTIONAL WIREL ESS POWER TRANSFER FOR ELECTRIC VEHICLES USING PSO BASED SMC WITH PHASE SHIFT MODULATION

Abstract

This project presents an enhanced bidirectional wireless power transfer (BWPT) system for electric vehicle (EV) applications, utilizing Particle Swarm Optimization (PSO)-based Sliding Mode Control (SMC) with Phase Shift Modulation (PSM) for superior performance. The BWPT system enables seamless Grid-to-Vehicle (G2V) and Vehicleto-Grid (V2G) operations, addressing key challenges such as power factor management, dynamic efficiency, and power transfer rates. While conventional dual-phase shift Pulse Width Modulation (PWM) techniques improve power factor correction (PFC) in unidirectional wireless power transfer (WPT) systems, bidirectional systems demand advanced control strategies to manage dual-side power converters effectively. The proposed PSO-SMC control framework optimizes the phase shift parameters, ensuring precise power flow regulation, enhanced stability, and reduced switching losses under varying load and grid conditions. Simulation results in MATLAB/Simulink demonstrate that the PSOSMC with PSM significantly improves power factor, transfer efficiency, and overall system reliability, making it a robust solution for future EV charging infrastructure and smart grid integration.

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green