A Hybrid Prognostic Method for Proton-Exchange-Membrane Fuel Cell with Decomposition Forecasting Framework Based on AEKF and LSTM

A Hybrid Prognostic Method for Proton-Exchange-Membrane Fuel Cell with Decomposition Forecasting Framework Based on AEKF and LSTM

Durability and reliability are the major bottlenecks of the proton-exchange-membrane fuel cell (PEMFC) for large-scale commercial deployment. With the help of prognostic approaches, we can reduce its maintenance cost and maximize its lifetime. This paper proposes a hybrid prognostic method for PEMFC...

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Bibliographic Details
Main Authors: Zetao Xia, Yining Wang, Longhua Ma, Yang Zhu, Yongjie Li, Jili Tao, Guanzhong Tian
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
prognostics
proton-exchange-membrane fuel cell
hybrid method
degradation prediction
remaining useful life
Online Access:https://www.mdpi.com/1424-8220/23/1/166

Internet

https://www.mdpi.com/1424-8220/23/1/166

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