IEEE Instrumentation & Measurement Magazine · 2008 · 584 citations · 7 references
EngineeringBiostatisticsForecastingHealth Data AnalyticsPredictive AnalyticsBattery DiagnosticsBattery SystemsBattery TechnologyElectrochemical CellsPrognostic AssessmentState Of Charge EstimationBattery Fault DiagnosisBattery Health AssessmentBattery Health MonitoringBattery ManagementBattery ModelingBattery PrognosticsLithium-ion BatteriesState-of-health Estimation
In this article, we examine prognostics and health management (PHM) issues using battery health management of Gen 2 cells, an 18650-size lithium-ion cell, as a test case. We will show where advanced regression, classification, and state estimation algorithms have an important role in the solution of the problem and in the data collection scheme for battery health management that we used for this case study.
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