Litcius/Paper detail

Remaining useful life prediction of lithium-ion battery with optimal input sequence selection and error compensation

Liaogehao Chen, Yong Zhang, Ying Zheng, Xiangshun Li, Xiujuan Zheng

2020Neurocomputing122 citationsDOI

Topics & Concepts

Hilbert–Huang transformComputer scienceSupport vector machineBattery (electricity)Sequence (biology)Compensation (psychology)Key (lock)Genetic algorithmSelection (genetic algorithm)Noise (video)Reliability (semiconductor)WaveformInterval (graph theory)AlgorithmArtificial intelligenceMachine learningWhite noiseMathematicsPower (physics)BiologyTelecommunicationsRadarGeneticsPsychologyPhysicsImage (mathematics)CombinatoricsPsychoanalysisComputer securityQuantum mechanicsAdvanced Battery Technologies ResearchReliability and Maintenance OptimizationMachine Fault Diagnosis Techniques
Remaining useful life prediction of lithium-ion battery with optimal input sequence selection and error compensation | Litcius