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Remaining useful life and state of health prediction for lithium batteries based on empirical mode decomposition and a long and short memory neural network

Gong Cheng, Xinzhi Wang, Yurong He

2021Energy252 citationsDOI

Topics & Concepts

Hilbert–Huang transformArtificial neural networkRobustness (evolution)BackpropagationState of healthPredictive modellingLong short term memoryComputer scienceMean squared errorBattery (electricity)Noise (video)EngineeringArtificial intelligenceRecurrent neural networkMachine learningEnergy (signal processing)StatisticsPower (physics)MathematicsPhysicsBiochemistryQuantum mechanicsChemistryGeneImage (mathematics)Advanced Battery Technologies ResearchAdvancements in Battery MaterialsReliability and Maintenance Optimization
Remaining useful life and state of health prediction for lithium batteries based on empirical mode decomposition and a long and short memory neural network | Litcius