학술논문

Fuel Cells Remaining Useful Life Real-Time Estimation Using an Extended Kalman Filter in a Hardware In the Loop Platform
Document Type
Conference
Source
2017 IEEE Vehicle Power and Propulsion Conference (VPPC) Vehicle Power and Propulsion Conference (VPPC), 2017 IEEE. :1-6 Dec, 2017
Subject
Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Cathodes
Fuel cells
Real-time systems
Nitrogen
Principal component analysis
Electric potential
Degradation
Language
Abstract
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.