Next Article in Journal
Analysis of the Potential for Use of Floating PV Power Plant on the Skadar Lake for Electricity Supply of Aluminium Plant in Montenegro
Next Article in Special Issue
Performance Evaluation and Durability Enhancement of FEP-Based Gas Diffusion Media for PEM Fuel Cells
Previous Article in Journal
Marine Renewable Energy in the Mediterranean Sea: Status and Perspectives
Previous Article in Special Issue
The Performance of a Direct Borohydride/Peroxide Fuel Cell Using Graphite Felts as Electrodes
Article Menu
Issue 10 (October) cover image

Export Article

Open AccessArticle
Energies 2017, 10(10), 1511; https://doi.org/10.3390/en10101511

Application of the Sensor Selection Approach in Polymer Electrolyte Membrane Fuel Cell Prognostics and Health Management

Department of Aeronautical and Automotive Engineering, Loughborough University, Loughborough LE11 3RX, UK
*
Author to whom correspondence should be addressed.
Received: 24 July 2017 / Revised: 8 September 2017 / Accepted: 14 September 2017 / Published: 29 September 2017
(This article belongs to the Special Issue Polymer Electrolyte Membrane Fuel Cells 2017)
View Full-Text   |   Download PDF [1992 KB, uploaded 29 September 2017]   |  

Abstract

In this paper, the sensor selection approach is investigated with the aim of using fewer sensors to provide reliable fuel cell diagnostic and prognostic results. The sensitivity of sensors is firstly calculated with a developed fuel cell model. With sensor sensitivities to different fuel cell failure modes, the available sensors can be ranked. A sensor selection algorithm is used in the analysis, which considers both sensor sensitivity to fuel cell performance and resistance to noise. The performance of the selected sensors in polymer electrolyte membrane (PEM) fuel cell prognostics is also evaluated with an adaptive neuro-fuzzy inference system (ANFIS), and results show that the fuel cell voltage can be predicted with good quality using the selected sensors. Furthermore, a fuel cell test is performed to investigate the effectiveness of selected sensors in fuel cell fault diagnosis. From the results, different fuel cell states can be distinguished with good quality using the selected sensors. View Full-Text
Keywords: PEM fuel cell; PHM; sensor selection; fault diagnosis; prognosis PEM fuel cell; PHM; sensor selection; fault diagnosis; prognosis
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Mao, L.; Davies, B.; Jackson, L. Application of the Sensor Selection Approach in Polymer Electrolyte Membrane Fuel Cell Prognostics and Health Management. Energies 2017, 10, 1511.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top