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Unveiling the Superiority: Comparative Analysis of ANFIS, FOPID, and PI Controllers in Grid-Connected EV Systems for G2V/V2G Applications

Gaurav Yadav, Mukhtiar Singh

202312 citationsDOI

Abstract

For successful Vehicle-to-Grid (V2G) and Grid-to-Vehicle (G2V) operations, it is essential to have a Bi-Directional power exchange between plug-in electric vehicles (PEVs) and the AC electrical grid. This manuscript introduces an Adaptive control-based non-isolated Bi-Directional Buck-Boost converter that effectively manages the charging and discharging of Electric Vehicle (EV) batteries based on reference values. Additionally, the study includes a comparative analysis, evaluating the converter's performance against conventional controllers such as FOPID and PI. Using MATLAB/Simulink, a single-phase On-Board Electric Vehicle Charger is simulated with three different controllers: PI, FOPID, and ANFIS. The comparative analysis clearly demonstrates the superior effectiveness of ANFIS-based controllers over FOPID and PI controllers.

Topics & Concepts

MATLABAdaptive neuro fuzzy inference systemComputer scienceGridPID controllerElectric vehicleControl theory (sociology)Power (physics)Automotive engineeringControl engineeringEngineeringControl (management)MathematicsPhysicsFuzzy control systemArtificial intelligenceFuzzy logicQuantum mechanicsOperating systemGeometryTemperature controlAdvanced Battery Technologies ResearchElectric Vehicles and InfrastructureMicrogrid Control and Optimization
Unveiling the Superiority: Comparative Analysis of ANFIS, FOPID, and PI Controllers in Grid-Connected EV Systems for G2V/V2G Applications | Litcius