作　　者： ; ;

机构地区： 华南理工大学电力学院

出　　处： 《通信电源技术》 2009年第5期54-58,共5页

摘　　要： 电池剩余容量预测是混合动力汽车一个非常关键的问题,文章在分析混合动力汽车蓄电池充电和放电特性的基础上,针对蓄电池内阻与剩余容量之间的非线性关系,采用了一种在线的灰色GM(1,1)模型群方法对蓄电池单元的剩余容量进行预测。但是采用简单的灰色模型对蓄电池的容量进行预测会带来很大的误差,文中首先用灰色GM(1,1)的常规模型原理并对蓄电池剩余容量建立了简单的模型,其次详细分析了采用灰色GM(1,1)模型群的方法来提高预测精度的原理及方法。仿真模型的结果不但表明灰色GM(1,1)的模型群能有效地提高预测精度,而且避免了单个灰色GM(1,1)的模型由于不稳定信息造成的不足;最后通过残差检验,检测误差较小,具有较强的可信度,适用于混合动力汽车的蓄电池剩余容量预测。 Forecasting battery surplus capacity is a key technology in hybrid electric vehicle. On the basis of the pulse charge and discharge characteristic of the storage cell used for hybrid electric vehicle, a real-time online GM （1, 1） forecast model is established to forecast the cell capacity in consideration of the non-linear relationship between the internal resist ance of the battery and cell capacity. The normal modeling theory of GM （1, 1） are introduced firstly, however, the online forecast of storage cell is worked with the grey GM （1, 1 ） model group to improve the precision. Then the principle and method of grey GM （1, 1） model group to improve the precision are analyzed in detail. The results of simulation indicate that the grey GM （1, 1） model group can obviously improve the precision of forecasting, increase the reliability of forecasting and also avoid the deficiencies of simple gray model, which was easily affected by unstable information. So it can do the early forecasting evaluation to the capacity of battery, which is fit for the request of the HEV well.

关 键 词： 混合动力汽车 蓄电池 灰色 模型群 预测

领　　域： [电气工程]