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Innovative deep learning method for predicting the state of health of lithium-ion batteries based on electrochemical impedance spectroscopy and attention mechanisms

Cheng Lou, Jianhao Zhang, Xianmin Mu, Fanpeng Zeng, Kai Wang

2025Frontiers of Chemical Science and Engineering17 citationsDOI

Topics & Concepts

Dielectric spectroscopyLithium (medication)IonElectrical impedanceElectrochemistryMaterials scienceSpectroscopyComputer scienceArtificial intelligencePsychologyChemistryElectrical engineeringEngineeringPhysicsElectrodePsychiatryPhysical chemistryOrganic chemistryQuantum mechanicsAdvanced Battery Technologies ResearchAdvancements in Battery MaterialsExtraction and Separation Processes
Innovative deep learning method for predicting the state of health of lithium-ion batteries based on electrochemical impedance spectroscopy and attention mechanisms | Litcius