Litcius/Paper detail

Hybrid framework for predicting and forecasting State of Health of Lithium-ion batteries in Electric Vehicles

Sajad Maleki, Biplob Ray, Mehrdad Tarafdar Hagh

2022Sustainable Energy Grids and Networks31 citationsDOIOpen Access PDF

Topics & Concepts

OverfittingState of healthAutoregressive integrated moving averageComputer scienceElectric vehicleReliability engineeringBattery (electricity)Noise (video)Machine learningEngineeringArtificial intelligenceData miningTime seriesArtificial neural networkPower (physics)Quantum mechanicsPhysicsImage (mathematics)Advanced Battery Technologies ResearchElectric Vehicles and InfrastructureAdvancements in Battery Materials
Hybrid framework for predicting and forecasting State of Health of Lithium-ion batteries in Electric Vehicles | Litcius