学科分类
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8 个结果
  • 简介:100piecesof26650-typeLithiumironphosphate(LiFePO4)batteriescycledwithafixedchargeanddischargeratearetested,andtheinfluenceofthebatteryinternalresistanceandtheinstantaneousvoltagedropatthestartofdischargeonthestateofhealth(SOH)isdiscussed.Abackpropagation(BP)neuralnetworkmodelusingadditionalmomentumisbuiltuptoestimatethestateofhealthofLi-ionbatteries.Theadditional10piecesareusedtoverifythefeasibilityoftheproposedmethod.Theresultsshowthattheneuralnetworkpredictionmodelhaveahigheraccuracyandcanbeembeddedintobatterymanagementsystem(BMS)toestimateSOHofLiFePO4Li-ionbatteries.

  • 标签: BP神经网络 状态估计 电池内阻 神经网络预测模型 LIFEPO4 锂离子电池