Estimation of Battery State of Health Using Back Propagation Neural Network-中国期刊网

摘要 100piecesof26650-typeLithiumironphosphate（LiFePO4）batteriescycledwithafixedchargeanddischargeratearetested,andtheinfluenceofthebatteryinternalresistanceandtheinstantaneousvoltagedropatthestartofdischargeonthestateofhealth（SOH）isdiscussed.Abackpropagation（BP）neuralnetworkmodelusingadditionalmomentumisbuiltuptoestimatethestateofhealthofLi-ionbatteries.Theadditional10piecesareusedtoverifythefeasibilityoftheproposedmethod.Theresultsshowthattheneuralnetworkpredictionmodelhaveahigheraccuracyandcanbeembeddedintobatterymanagementsystem（BMS）toestimateSOHofLiFePO4Li-ionbatteries.

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Estimation of Battery State of Health Using Back Propagation Neural Network

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Estimation of Battery State of Health Using Back Propagation Neural Network

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