State of health prediction for proton exchange membrane fuel cells using multi-scale indicators

Key Points

• Health prediction models show enhanced accuracy in assessing proton exchange membrane fuel cells' performance metrics, suggesting better longevity.
• The analysis identified over 15 multi-scale indicators that significantly correlate with operational health and efficiency.
• Observational analysis examines existing datasets to derive predictive models using performance metrics from various fuel cell tests.
• Findings indicate a need for improved predictive strategies, highlighting potentially significant operational savings in fuel cell technology.