Litcius/Paper detail

Gramian angular field-based state-of-health estimation of lithium-ion batteries using two-dimensional convolutional neural network and bidirectional long short-term memory

B.-Y. Mao, Jingyi Yuan, Hua Li, Kunru Li, Qingjie Wang, Xianbin Xiao, Z.S. Zheng, Qin Wu

2024Journal of Power Sources20 citationsDOI

Topics & Concepts

Convolutional neural networkTerm (time)Lithium (medication)Gramian matrixLong short term memoryIonArtificial neural networkComputer scienceRecurrent neural networkChemistryArtificial intelligencePhysicsMedicineOrganic chemistryQuantum mechanicsEndocrinologyEigenvalues and eigenvectorsAdvanced Battery Technologies ResearchAdvancements in Battery MaterialsAge of Information Optimization
Gramian angular field-based state-of-health estimation of lithium-ion batteries using two-dimensional convolutional neural network and bidirectional long short-term memory | Litcius