一种基于布谷鸟算法的质子交换膜燃料电池湿度辨识方法

摘要

In order to improve the fuel cell internal exchange membrane humidity measurement accuracy,based on the two-type fuzzy theory, the soft-sensing model of the moisture exchange membrane of the proton exchange membrane is established. Combining with the cuckoo algorithm, an identification method is established. Finally, based on the experimental test to verify the simulation results,the experimental results show that in this established model simulation the accuracy is higher,the output of the model is more stable. High test stability,such measure-ment technology can be widely used in various types of off-line measurement system.%为了提高燃料电池内部交换膜湿度的测量精度,基于区间二型模糊逻辑计算理论,结合Cuckoo Search算法,建立了一种辨识方法,对其湿度特性进行非线性拟合逼近.通过对非线性拟合结果进行验证,所设计的辨识方法在对燃料电池进行湿度拟合的过程较为精确.计算模型的输出结果较为稳定,测试稳定性较高,此类测量技术能够广泛应用于各类离线测量系统中.