In order to estimate the remaining capacity of 18650 batteries more accurately under the condition of high efficiency and small data statistics,based on the radial basis neural network model of GRNN nonlinear regression theory,the kernel function parameters of the model were improved by using grid search,so that the remaining capacity of 18650 batteries could still be accurately estimated under the condition of less data.The battery was charged and discharged in cycles,the relevant parameters in the cycle were extracted,and the data of Yijie battery were used for training,and then the capacity of 4 of them was estimated to obtain the results.The results show that the ohmic internal resistance of the battery is negatively correlated with the capacity of the battery,and the discharge time of iso voltage drop is positively correlated with the capacity.The improved GRNN model is obtained,and the kernel function parameter is 5,and the new model is more accurate in the case of a small amount of data.
关键词
少量数据情况/电池容量估算/GRNN模型/核函数参数/网格搜索
Key words
small amount of data/battery capacity estimation/GRNN model/kernel function parameters/grid search
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