A method for estimating the state of health of lithium-ion batteries based on physics-informed neural network
Jinhua Ye, Quan Xie, Mingqiang Lin, Ji Wu
Topics & Concepts
InterpretabilityArtificial neural networkFeed forwardBattery (electricity)Machine learningProcess (computing)State of chargeState of healthLithium (medication)Feedforward neural networkComputer scienceArtificial intelligenceEngineeringControl engineeringPhysicsMedicineQuantum mechanicsPower (physics)Operating systemEndocrinologyAdvanced Battery Technologies ResearchAdvancements in Battery MaterialsAdvanced battery technologies research