Electrochemical impedance spectrum prediction method for high-power proton exchange membrane fuel cell stack

Abstract

The invention discloses an electrochemical impedance spectrum prediction method for a high-power proton exchange membrane fuel cell stack. The method comprises the following steps: testing operating parameters and impedance spectrums of a high-power proton exchange membrane fuel cell under various working conditions by using a fuel cell test platform and an impedance spectrum analyzer; setting parameters of a long-short-term neural network according to the measured operation parameters and the impedance spectrum, and modeling the impedance of the proton exchange membrane fuel cell through thelong-short-term neural network; and predicting the impedance of the high-power proton exchange membrane fuel cell under various working conditions through the constructed model. According to the invention, the electrochemical impedance spectrum of the high-power proton exchange membrane fuel cell under each working condition can be accurately predicted, so that the fault diagnosis problem of the high-power proton exchange membrane fuel cell is effectively solved.

Description

technical field [0001] The invention belongs to the technical field of proton exchange membrane fuel cells, in particular to a method for predicting electrochemical impedance spectrum of high-power proton exchange membrane fuel cell stacks. Background technique [0002] With the increase of energy demand and consumption, the depletion of traditional energy sources and environmental pollution are becoming more and more serious. As a device that can convert hydrogen energy into electrical energy, proton exchange membrane fuel cell has received more and more attention. Proton exchange membrane fuel cells have the advantages of fast start-up, low noise, and no greenhouse gas emissions. This makes proton exchange membrane fuel cells applied in many scenarios. [0003] Proton exchange membrane fuel cell is a multivariable, strongly coupled nonlinear system, and many factors have a huge impact on its performance. As the number of cells and power increase, the greater susceptibil...

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Problems solved by technology

Among these methods, it often takes a lot of time to obtain the entire impedance spectrum for diagnosis through the geometric characteristics of EIS, and the model parameters obtained by the equivalent circuit fitting EIS are often not accurate enough, which makes these methods suitable for practical high-power stacks. There are certain limitations in the application of

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