基于BP神经网络算法的电池组故障诊断研究

Fault Diagnosis of Battery Pack Based on BP Neural Network Algorithm

为了达到对锂电池组进行故障诊断的目的,采用基于BP神经网络算法的电池组故障诊断模型,通过实验数据做了模型的训练与仿真实验。实验结果证明网络能够准确判断出电池组故障原因,实现了电池组故障诊断,保证电池组平稳运行。

In order to diagnose the battery fault, this paper designs a model of battery fault diagnosis based on BP neural network algo- rithm. The model training and simulation experiments are done with experiment data. And the experimental results show that network can accurately judge the causes of the battery fault, and realize the fault diagnosis of the battery pack to ensure the smooth operation ofthe bat- tery.