基于神经网络的MH/Ni电池剩余容量预测

为有效地对电动车电池剩余容量进行预测，在分析了MH／Ni电池充放电过程的反应机理的基础上，应用改进算法的BP神经网络，建立了MH／Ni电池的神经网络模型，用于预测MH／Ni电池放电过程中某一状态下的剩余容量。结果表明，通过该网络模型可以方便快速的得到电池剩余容量及荷电状态的预测值，所得结果满足要求，为电池管理系统提供了一种新的预测方法。

Prediction of residual capacity of MH/Ni batteries based on neural network

In order to predict the residual capacity of batteries in electric vehiclesm, by analysing the electrochemical mechanism of Ni/MH batteries during charge/discharge, a neural network model of nickel metal hydride batteries based on BP network was built up, and trained using the improved algorithm to estimate the residual capacity of Ni/MH batteries. Test results showed that the residual capacity and of batteries ciykd be oreducted quickly by using this method wutg satusfactirt accuracy.