Identification of the aging state of lithium-ion batteries via temporal convolution network and self-attention mechanism
Leisi Ke, Linlin Fang, Jinhao Meng, Jichang Peng, Ji Wu, Mingqiang Lin, Daniel‐Ioan Stroe
Topics & Concepts
Computer scienceFuse (electrical)Battery (electricity)Convolution (computer science)Identification (biology)Artificial intelligenceMechanism (biology)Convolutional neural networkState (computer science)Pattern recognition (psychology)Deep learningBattery capacityArtificial neural networkMachine learningEngineeringAlgorithmElectrical engineeringPower (physics)BotanyPhysicsBiologyEpistemologyPhilosophyQuantum mechanicsAdvanced Battery Technologies ResearchAdvancements in Battery MaterialsAdvanced Battery Materials and Technologies