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燃料电池汽车由于其复杂的车载工况和故障发生原因,在现阶段的故障诊断方法上仍存在诸多缺陷和困难。该文在业界成熟度较高的EIS方法(电化学交流阻抗谱方法)上,将模式识别的常用方法——FCM方法和SVM方法——应用于燃料电池的故障分类中,并在保证正确性和可靠性的基础上,着眼于车载燃料电池故障诊断的可在线性和准确性。对两种方法在计算时间和正确率结果方面作比较,总结了两种方法的特点和应用方法。
Because of its complex vehicle conditions and the causes of faults, fuel cell vehicles still have many defects and difficulties in the current fault diagnosis methods. In this paper, EIS method (electrochemical AC impedance spectroscopy method) with high maturity in the industry is applied to the fault classification of fuel cell, and the common methods of pattern recognition (FCM method and SVM method) Based on reliability and focus on the in-vehicle fuel cell fault diagnosis can be linear and accuracy. The two methods are compared in terms of calculation time and accuracy of the results, summarizes the characteristics and application methods of the two methods.