2002 · 14 citations · 11 references
EngineeringChemical EngineeringElectrochemical EngineeringElectrochemistryMachine LearningBattery DiagnosticsBattery SystemsBattery TechnologyElectrochemical CellsState EstimationState Of Charge EstimationBattery Performance CharacterizationBattery State Of Charge ModelingLead-acid BatteriesLead-acid Battery SystemsMachine Learning For State Of Charge EstimationRadial Basis Function NetworksState Of Charge MonitoringState Of Charge Prediction
A radial basis function based learning system method has been proposed for estimation of state of charge (SOC) of lead acid battery. Coulomb metric method is used for SOC estimation with correction factor computed by radial basis function method. Radial basis function based technique is used for learning battery performance variation with time and other parameters. Experimental results are included.
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