Publication | Closed Access

A novel fault prediction method based on convolutional neural network and long short-term memory with correlation coefficient for lithium-ion battery

Fault DiagnosisElectrical EngineeringConvolutional Neural NetworkEngineeringMachine LearningLi-ion Battery MaterialsLithium-ion BatteryCorrelation CoefficientFault ForecastingEnergy StorageAutomatic Fault DetectionBatteriesRecurrent Neural NetworkFailure Prediction