Title
Hardware/Software Data Acquisition System for Real Time Cell Temperature Monitoring in Air-Cooled Polymer Electrolyte Fuel Cells.
Abstract
This work presents a hardware/software data acquisition system developed for monitoring the temperature in real time of the cells in Air-Cooled Polymer Electrolyte Fuel Cells (AC-PEFC). These fuel cells are of great interest because they can carry out, in a single operation, the processes of oxidation and refrigeration. This allows reduction of weight, volume, cost and complexity of the control system in the AC-PEFC. In this type of PEFC (and in general in any PEFC), the reliable monitoring of temperature along the entire surface of the stack is fundamental, since a suitable temperature and a regular distribution thereof, are key for a better performance of the stack and a longer lifetime under the best operating conditions. The developed data acquisition (DAQ) system can perform non-intrusive temperature measurements of each individual cell of an AC-PEFC stack of any power (from watts to kilowatts). The stack power is related to the temperature gradient; i.e., a higher power corresponds to a higher stack surface, and consequently higher temperature difference between the coldest and the hottest point. The developed DAQ system has been implemented with the low-cost open-source platform Arduino, and it is completed with a modular virtual instrument that has been developed using NI LabVIEW. Temperature vs time evolution of all the cells of an AC-PEFC both together and individually can be registered and supervised. The paper explains comprehensively the developed DAQ system together with experimental results that demonstrate the suitability of the system.
Year
DOI
Venue
2017
10.3390/s17071600
SENSORS
Keywords
Field
DocType
data acquisition,polymer electrolyte fuel cell,real time cell temperature monitoring,virtual instrument,Arduino
Refrigeration,Data acquisition,Arduino,Electronic engineering,Software,Control system,Temperature gradient,Engineering,Modular design,Temperature measurement
Journal
Volume
Issue
ISSN
17
7.0
1424-8220
Citations 
PageRank 
References 
2
0.39
5
Authors
3
Name
Order
Citations
PageRank
Francisca Segura Manzano120.39
Veronica Bartolucci220.39
José Manuel Andujar3688.53