Remaining useful life estimation for proton exchange membrane fuel cell based on extreme learning machine

2016 ◽  
Author(s):  
Xiaoling Xue ◽  
Yanyan Hu ◽  
Shuai Qi
Keyword(s):  
Fuel Cell ◽  
Extreme Learning Machine ◽  
Proton Exchange Membrane ◽  
Proton Exchange ◽  
Remaining Useful Life ◽  
Life Estimation ◽  
Useful Life ◽  
Learning Machine ◽  
Exchange Membrane

scholarly journals Proton exchange membrane fuel cell remaining useful life prognostics considering degradation recovery phenomena

2018 ◽  
Vol 232 (4) ◽  
pp. 415-424
Author(s):  
Dacheng Zhang ◽  
Catherine Cadet ◽  
Nadia Yousfi-Steiner ◽  
Christophe Bérenguer
Keyword(s):  
Fuel Cell ◽  
Particle Filtering ◽  
Proton Exchange Membrane ◽  
Electrochemical Impedance ◽  
Proton Exchange ◽  
Remaining Useful Life ◽  
Classical Particle ◽  
Management Approach ◽  
Useful Life ◽  
Exchange Membrane

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.

Sign in / Sign up

Export Citation Format

Share Document