Litcius/Paper detail

Interval Type-2 Fuzzy Logic Controlled Shunt Converter Coupled Novel High-Quality Charging Scheme for Electric Vehicles

C. Balasundar, Chinnayan Karuppaiyah Sundarabalan, Srinath Nangavaram Santhanam, Josep M. Guerrero

2020IEEE Transactions on Industrial Informatics60 citationsDOIOpen Access PDF

Abstract

The deployment of electric vehicle charging stations degrades the quality of power in the distribution grid. This article proposes an interval type-2 fuzzy logic controlled shunt converter coupled novel high-quality charging scheme for electric vehicles. This system includes three-phase bidirectional front-end ac-dc pulsewidth modulation (PWM) converter, backend dc-dc PWM converter and three-phase three-wire distribution static compensator. The bidirectional converters help to perform both grid to vehicle and vehicle to grid mode of operations. The combination of dc-link voltage with decoupled current control technique is exploited for ac-dc converter. A multistep constant current control technique is proposed for the dc-dc converter to charge and discharge the battery. A fuzzy logic controller based instantaneous reactive power theory control method is proposed for shunt converter. The performance of type-1, interval type-2, and real coded genetic algorithm optimized fuzzy logic controllers are evaluated by the shunt converter dc-link voltage and the total harmonic distortion of the source current. Lithium-ion batteries are utilized as an energy storage device for electric vehicles in the proposed system. The entire system is modeled and evaluated in the MATLAB/Simulink environment. An interval type-2 and real coded genetic algorithm optimized fuzzy logic controller affords the better performance during V2G and G2V operations, respectively.

Topics & Concepts

Control theory (sociology)Computer scienceBoost converterEngineeringPulse-width modulationElectronic engineeringFuzzy logicVoltageElectrical engineeringArtificial intelligenceControl (management)Advanced Battery Technologies ResearchElectric Vehicles and InfrastructureMicrogrid Control and Optimization