Water Flooding Fault Management of PEMFC Based on Grey Prediction and Digital Twin

Abstract

In view of the difficulty in predicting the water flooding fault of proton exchange membrane fuel cell (PEMFC), the flooding fault management of PEMFC was carried out based on grey system theory and five-dimensional digital twin framework. Firstly, the collected PEMFC anode gas pressure drop data are processed, and the extracted sample data are used to construct the original grey prediction sequence. The analysis shows that the grey
prediction model can maintain a high accuracy both under normal condition and when there is flooding. In order to realize the fault management of PEMFC, the water flooding fault identification and self-healing strategy of PEMFC were determined based on the five-dimensional digital twin model, so as to realize the predictive maintenance of PEMFC for water flooding fault.