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Ammonia injection failure diagnostic and correction in engine after-treatment system by NOx and NH3 emissions observation

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Ammonia injection failure diagnostic and correction in engine after-treatment system by NOx and NH3 emissions observation

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dc.contributor.author Pla Moreno, Benjamín es_ES
dc.contributor.author Bares-Moreno, Pau es_ES
dc.contributor.author Sanchis Pacheco, Enrique José es_ES
dc.contributor.author Nakaema-Aronis, André es_ES
dc.date.accessioned 2023-07-10T18:02:03Z
dc.date.available 2023-07-10T18:02:03Z
dc.date.issued 2022-08-15 es_ES
dc.identifier.issn 0016-2361 es_ES
dc.identifier.uri http://hdl.handle.net/10251/194762
dc.description.abstract [EN] To ensure that after-treatment systems (ATS) reduce emissions to the levels for which they were designed, it is essential that the ATS control can rely on the feedback signals from the sensors and actuators that are part of the system. Knowing that the amount of ammonia injected into the catalyst governs the Nitrogen oxides (NOx) reduction, this work addresses the impact of the ammonia injection failure in the Selective Catalytic Reduction (SCR) on the exhaust emissions and describes a model-based fault diagnosis strategy. The proposed approach is based on an artificial neural network (ANN) and a sensor signal analysis (SSA) model of the catalyst, as well as an observer to merge the models and accurately estimate the emissions. The proposed diagnostic strategy is based on the comparison of the observed NOx and ammonia (NH3) emissions of the actual system with those expected in the system without ammonia injection failure. Experimental results show that the proposed strategy can detect failures in ammonia injection above 10%. Once the degradation level is detected, a correction strategy is applied by increasing the ammonia injector opening time according to the estimated degradation to increase the injected ammonia up to levels similar to faultless conditions. When the injection failure was corrected, the proposed strategy was able to mitigate the impact on NOx emissions, reducing them by 23.33% and approaching the NOx levels without injection failure (5.35% increase). es_ES
dc.description.sponsorship This research has been supported by Grant PID2020-114289RB-I00 funded by MCIN/AEI/10.13039/501100011033. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Fuel es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Engine control es_ES
dc.subject Fault detection diagnosis es_ES
dc.subject Emissions control es_ES
dc.subject Vehicle emissions es_ES
dc.subject.classification INGENIERIA AEROESPACIAL es_ES
dc.subject.classification MAQUINAS Y MOTORES TERMICOS es_ES
dc.title Ammonia injection failure diagnostic and correction in engine after-treatment system by NOx and NH3 emissions observation es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.fuel.2022.123936 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-114289RB-I00/ES/INTEGRACION DE SISTEMAS DE POST-TRATAMIENTO DE GASES DE ESCAPE MULTIFUNCIONALES EN VEHICULOS DE PROPULSION HIBRIDA/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Politécnica Superior de Alcoy - Escola Politècnica Superior d'Alcoi es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny es_ES
dc.description.bibliographicCitation Pla Moreno, B.; Bares-Moreno, P.; Sanchis Pacheco, EJ.; Nakaema-Aronis, A. (2022). Ammonia injection failure diagnostic and correction in engine after-treatment system by NOx and NH3 emissions observation. Fuel. 322:1-11. https://doi.org/10.1016/j.fuel.2022.123936 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.fuel.2022.123936 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 11 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 322 es_ES
dc.relation.pasarela S\478750 es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder Universitat Politècnica de València es_ES


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