Fuel Cells Remaining Useful Life Real-Time Estimation Using an Extended Kalman Filter in a Hardware In the Loop Platform

摘要

Proton Exchange Membrane Fuel Cell is a promising clean and efficient energy converter, but suffers from a limited lifespan due to degradation mechanisms. Therefore, researches have been conducted to estimate the State of Health and the Remaining Useful Life. In this paper, a real-time Extended Kalman Filter estimates on-line the State of Health and the Remaining Useful Life, where the algorithms are validated on a Hardware In the Loop platform.