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A novel self-tuning type-2 fuzzy maximum power point tracking technique for efficiency enhancement of fuel cell based battery chargers

Pezhman Bayat, Alfred Baghramian

2020International Journal of Hydrogen Energy31 citationsDOI

Topics & Concepts

Computer scienceBattery (electricity)Controller (irrigation)Maximum power principleMaximum power point trackingDuty cycleProton exchange membrane fuel cellFuzzy logicMATLABPower (physics)Automotive engineeringControl theory (sociology)Photovoltaic systemFuel cellsVoltageEngineeringInverterElectrical engineeringControl (management)Artificial intelligenceQuantum mechanicsPhysicsChemical engineeringOperating systemAgronomyBiologyAdvanced Battery Technologies ResearchFuel Cells and Related MaterialsHybrid Renewable Energy Systems
A novel self-tuning type-2 fuzzy maximum power point tracking technique for efficiency enhancement of fuel cell based battery chargers | Litcius