A deep attention-assisted and memory-augmented temporal convolutional network based model for rapid lithium-ion battery remaining useful life predictions with limited data
Zicheng Fei, Zijun Zhang, Fangfang Yang, Kwok‐Leung Tsui
Topics & Concepts
Battery (electricity)Lithium (medication)Computer scienceLithium-ion batteryDeep learningArtificial intelligencePsychologyPhysicsPsychiatryQuantum mechanicsPower (physics)Advanced Battery Technologies ResearchAdvancements in Battery MaterialsElectric Vehicles and Infrastructure