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This work explores the challenges of handling the recovery phenomena in the degradation behavior of the proton exchange membrane fuel cells, from the perspective of the prognostics. An adaptive prognostics and health management approach with additional knowledge, such as the electrochemical impedance spectroscopy, from the state of health characterization, is applied on two fuel cell stacks under both stationary and quasi-dynamic operating regimes. Some improvements in the prognostic performance are obtained in the view of the remaining useful life predictions by comparing with a classical particle filtering–based prognostic approach.