Litcius/Paper detail

State of charge, remaining useful life and knee point estimation based on artificial intelligence and Machine learning in lithium-ion EV batteries: A comprehensive review

Aryan Shah, Khushi Shah, Charmi Shah, Manan Shah

2022Renewable energy focus90 citationsDOI

Topics & Concepts

Battery (electricity)State of chargePrognosticsConsistency (knowledge bases)State of healthComputer sciencePoint (geometry)Lithium (medication)Reliability (semiconductor)Reliability engineeringArtificial intelligenceEngineeringMachine learningMathematicsMedicineQuantum mechanicsPower (physics)GeometryPhysicsEndocrinologyAdvanced Battery Technologies ResearchAdvancements in Battery MaterialsElectric Vehicles and Infrastructure
State of charge, remaining useful life and knee point estimation based on artificial intelligence and Machine learning in lithium-ion EV batteries: A comprehensive review | Litcius