质子交换膜燃料电池混合建模研究

支撑向量机（SVM）理论完备,泛化能力强,很适合对燃料电池建模。但是建立高维SVM模型需要大量的实验数据,为了克服这一困难,使用SVM和压力增量机理模型相结合的方法对质子交换膜燃料电池进行混合建模：SVM模型只考虑电流和温度对电压的影响,而压力增量模型则在此基础上预测阴极压力和阳极压力对电压的影响。混合后的模型能够预测不同电流、温度、阴极压力和阳极压力下的输出电压。结果表明这种方法建立的数学模型误差小于1.6%,能够达到很好的拟合精度。

Proton Exchange Membrane Fuel Cell Hybrid Modeling Research

Support vector machine(SVM) is a general purpose algorithm that has superior generalization performance. It is suitable to model nonlinear multi-variable systems such as proton exchange membrane fuel cell(PEMFC). But building a high dimensional SVM model needs huge of training data,hence a hybrid modeling approach was reported:SVM model only concerns the input variables of temperature and current,and a mechanistic pressure-incremental model incorporates anode and cathode pressures. Thus,combining them together can do the prediction on any current,temperature,anode and cathode pressures. The predictions are highly consistent with experimental results. Data analyses show that the model can make the predictions with the errors less than 1.6%.