Performance degradation evaluation and life prediction method for proton exchange membrane fuel cell

The invention discloses a performance degradation evaluation and life prediction method for a proton exchange membrane fuel cell, which comprises the following steps of: acquiring monitoring data of the proton exchange membrane fuel cell in advance, determining output variables of the monitoring data of the proton exchange membrane fuel cell by using a Pearson correlation analysis method, and acquiring an input variable set by adopting MIC (Microphone) feature extraction; a neural network model combined with a time convolution network and a random vector network model RVFL is optimized through an improved LGTSOA (Lagrangian Sun Search Algorithm) for training, a performance degradation evaluation and prediction model LGTSOA-TCN-RVFL of the proton exchange membrane fuel cell is obtained, and performance degradation evaluation and life prediction of the cell are realized. According to the method, a more accurate prediction result is provided for performance degradation of the proton exchange membrane fuel cell,