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Title: Quantitative decoding of the response a ceramic mixed potential sensor array for engine emissions control and diagnostics

Abstract

The development of on-board sensors for emissions monitoring is necessary for continuous monitoring of the performance of catalytic systems in automobiles. We have fabricated mixed potential electrochemical gas sensing devices with Pt, La 0.8Sr 0.2CrO 3 (LSCO), and Au/Pd alloy electrodes and a porous yttria-stabilized zirconia electrolyte. The three-electrode design takes advantage of the preferential selectivity of the Pt + Au/Pd and Pt + LSCO pairs towards different species of gases and has additional tunable selectivity achieved by applying a current bias to the latter pair. Voltages were recorded in single, binary, and ternary gas streams of NO, NO 2, C 3H 8, and CO. We have also trained artificial neural networks to examine the voltage output from sensors in biased and unbiased modes to both identify which single test gas or binary mixture of two test gases is present in a gas stream as well as extract concentration values. We were then able to identify single and binary mixtures of these gases with accuracy of at least 98%. For determining concentration, the peak in the error distribution for binary mixtures was 5% and 80% of test data fell under <12% error. The sensor stability was also evaluated over themore » course of over 100 days and the ability to retrain ANNs with a small dataset was demonstrated.« less

Authors:
 [1];  [1];  [2];  [3];  [4]
  1. Univ. of New Mexico, Albuquerque, NM (United States). Center for MicroEngineered Materials
  2. ESL ElectroScience, King of Prussia, PA (United States)
  3. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Advanced Materials Lab.
  4. Univ. of New Mexico, Albuquerque, NM (United States). Center for MicroEngineered Materials; Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Advanced Materials Lab.
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1399885
Report Number(s):
SAND2016-11543J
Journal ID: ISSN 0925-4005; PII: S0925400517306615
Grant/Contract Number:  
AC04-94AL85000
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Sensors and Actuators. B, Chemical
Additional Journal Information:
Journal Volume: 249; Journal Issue: C; Journal ID: ISSN 0925-4005
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
33 ADVANCED PROPULSION SYSTEMS; 54 ENVIRONMENTAL SCIENCES; mixed potential sensors; artificial neural networks; exhaust gas

Citation Formats

Tsui, Lok-kun, Benavidez, Angelica, Palanisamy, Ponnusamy, Evans, Lindsey, and Garzon, Fernando. Quantitative decoding of the response a ceramic mixed potential sensor array for engine emissions control and diagnostics. United States: N. p., 2017. Web. doi:10.1016/j.snb.2017.04.060.
Tsui, Lok-kun, Benavidez, Angelica, Palanisamy, Ponnusamy, Evans, Lindsey, & Garzon, Fernando. Quantitative decoding of the response a ceramic mixed potential sensor array for engine emissions control and diagnostics. United States. doi:10.1016/j.snb.2017.04.060.
Tsui, Lok-kun, Benavidez, Angelica, Palanisamy, Ponnusamy, Evans, Lindsey, and Garzon, Fernando. Thu . "Quantitative decoding of the response a ceramic mixed potential sensor array for engine emissions control and diagnostics". United States. doi:10.1016/j.snb.2017.04.060. https://www.osti.gov/servlets/purl/1399885.
@article{osti_1399885,
title = {Quantitative decoding of the response a ceramic mixed potential sensor array for engine emissions control and diagnostics},
author = {Tsui, Lok-kun and Benavidez, Angelica and Palanisamy, Ponnusamy and Evans, Lindsey and Garzon, Fernando},
abstractNote = {The development of on-board sensors for emissions monitoring is necessary for continuous monitoring of the performance of catalytic systems in automobiles. We have fabricated mixed potential electrochemical gas sensing devices with Pt, La0.8Sr0.2CrO3 (LSCO), and Au/Pd alloy electrodes and a porous yttria-stabilized zirconia electrolyte. The three-electrode design takes advantage of the preferential selectivity of the Pt + Au/Pd and Pt + LSCO pairs towards different species of gases and has additional tunable selectivity achieved by applying a current bias to the latter pair. Voltages were recorded in single, binary, and ternary gas streams of NO, NO2, C3H8, and CO. We have also trained artificial neural networks to examine the voltage output from sensors in biased and unbiased modes to both identify which single test gas or binary mixture of two test gases is present in a gas stream as well as extract concentration values. We were then able to identify single and binary mixtures of these gases with accuracy of at least 98%. For determining concentration, the peak in the error distribution for binary mixtures was 5% and 80% of test data fell under <12% error. The sensor stability was also evaluated over the course of over 100 days and the ability to retrain ANNs with a small dataset was demonstrated.},
doi = {10.1016/j.snb.2017.04.060},
journal = {Sensors and Actuators. B, Chemical},
number = C,
volume = 249,
place = {United States},
year = {Thu Apr 13 00:00:00 EDT 2017},
month = {Thu Apr 13 00:00:00 EDT 2017}
}

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