[其它]Modeling a PEMFC by a support vector machine

Abstract j\@|oW0  
This paper reports a modeling study of proton exchange membrane fuel cell (PEMFC) performance by using a support vector machine (SVM). 1T7;=<g`  
A PEMFC is a nonlinear, multi-variable system that is hard to model by conventional methods. As regards the SVM, it has a superior capability for u"r1R
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generalization, and this capability is independent on the dimensionality of the input data. These two merits combine to make it a powerful tool to Uefw  
predict how a PEMFC will behave under different operating conditions. Herein a SVM model of a PEMFC system is built, optimized and tested. fm%-wUgj  
First, the model is determined with selected experimental data, and then it is used to predict PEMFC performance. It is shown that the model can Op<|Oz$Q|l  
make the prediction in 10 ms with the squared correlation coefficient as high as 99.7%. Therefore, the proposed black-box SVM PEMFC model pe@/tO&I  
applies to the simulation, real-time control and monitoring of a fuel cell’s performance. ] i\a[3  
© 2006 Elsevier B.V. All rights reserved. cm7>%g(oQo  
Keywords: Fuel c .. ?#;zB  
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