A transfer learning method for state of health prediction of lithium-ion batteries under cross-formation protocols
Gaige Chen, Haitao Meng, Yi Yang, Xiaoshen Zhang, Wei Deng, Jinsong Liu
Topics & Concepts
AdaptabilityResidualRobustness (evolution)Computer scienceArtificial neural networkParticle filterState of healthArtificial intelligenceMachine learningDiscriminatorEnergy consumptionBattery (electricity)Noise (video)Mean squared errorTransfer of learningProtocol (science)Stability (learning theory)Key (lock)Nonlinear systemData miningEngineeringNode (physics)Feature (linguistics)Partial least squares regressionData modelingMean squared prediction errorFeature selectionKalman filterAdvanced Battery Technologies ResearchAdvanced Battery Materials and TechnologiesMachine Fault Diagnosis Techniques