| 基于BP神经网络的PEMFC电堆的静态热系统建模 |
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| 引用本文： | 马宁,邓先瑞,杜学东.基于BP神经网络的PEMFC电堆的静态热系统建模[J].唐山师范学院学报,2007,29(5):110-112. |
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| 作者姓名： | 马宁 邓先瑞 杜学东 |
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| 作者单位： | 1. 唐山师范学院,计算机科学系,河北,唐山,063000
2. 唐山师范学院,国资处,河北,唐山,063000 |
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| 摘 要： | 质子交换膜燃料电池(PEMFC)电堆的温度是影响燃料电池性能的关键因素之一,建立电堆的热系统模型是准确控制电堆温度的基础。文章中利用反向传播(BP)神经网络对质子交换膜燃料电池的静态热系统进行建模。仿真结果表明,神经网络建模方法能够较好地拟合数据。
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| 关 键 词： | 神经网络辨识 质子交换膜燃料电池 热系统 非线性系统辨识 |
| 文章编号： | 1009-9115（2007）05-0110-03 |
| 修稿时间： | 2006-04-02 |
Modleing of Proton Exchange Membrane Fuel Cell Stack Thermal System Based on the Method of BP Neural Networks |
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| MA Ning,DENG Xian-rui,DU Xue-dong.Modleing of Proton Exchange Membrane Fuel Cell Stack Thermal System Based on the Method of BP Neural Networks[J].Journal of Tangshan Teachers College,2007,29(5):110-112. |
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| Authors: | MA Ning DENG Xian-rui DU Xue-dong |
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| Institution: | 1 .Department of Computer Science, Tangshan Teachers College, Hebei Tangshan 063000, China; 2. Department of State-owned Asset, Tangshan Teachers College, Hebei Tangshan 063000, China |
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| Abstract: | The temperature of the proton exchange membrane fuel cell(PEMFC)stack is a key factor to influence the performance of the cell.It is necessary to build a model of PEMFC stack in order to control the temperature exactly.A approach using the method of BP neural networks to model the PEMFC stack was put forward and used to fit the experimental dates,the results was satisfying. |
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| Keywords: | BP neural networks differentiation proton exchange membrane fuel cell thermal system non-linearity differentiation |
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