Estimation of state of charge of lead acid battery using radial basis function

S. Malkhandi, S. Sinha, K. Muthukumar
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引用次数: 19

Abstract

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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用径向基函数估计铅酸蓄电池的充电状态
提出了一种基于径向基函数学习系统的铅酸电池荷电状态估计方法。采用库仑度量法进行荷电状态估计,修正系数采用径向基函数法计算。基于径向基函数的技术用于学习电池性能随时间和其他参数的变化。包括实验结果。
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