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Model-based simultaneous diagnosis of ammonia injection failure and catalyst ageing in deNOx engine after-treatment systems

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Model-based simultaneous diagnosis of ammonia injection failure and catalyst ageing in deNOx engine after-treatment systems

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dc.contributor.author Pla Moreno, Benjamín es_ES
dc.contributor.author Piqueras, P. es_ES
dc.contributor.author Bares-Moreno, Pau es_ES
dc.contributor.author Nakaema-Aronis, André es_ES
dc.date.accessioned 2024-01-05T19:02:23Z
dc.date.available 2024-01-05T19:02:23Z
dc.date.issued 2023-07-01 es_ES
dc.identifier.issn 0016-2361 es_ES
dc.identifier.uri http://hdl.handle.net/10251/201548
dc.description.abstract [EN] After-treatment systems (ATS) in vehicle powertrains are developed to achieve maximum pollutant abatement efficiency under design operating conditions. However, anomalies in the ATS may appear during real operation, such as reducing agent supply failure and catalyst ageing. As in the case of an ATS composed of a selective catalytic reduction (SCR) system plus an ammonia slip catalyst (ASC), injection failure leads to insufficient ammonia levels to reduce nitrogen oxide (NOx), and ageing decreases the ammonia storage capacity and NOx conversion efficiency, these drawbacks drive both pollutants to levels above those expected and allowed by governmental regulations. To address this problem, a novel methodology was proposed that simultaneously estimates the operational state of the ATS in terms of ammonia injection failure and ASC catalyst ageing. The approach through control-oriented models based on an artificial neural network (ANN) and sensor signal analysis (SSA), as well as an extended Kalman filter (EKF) observer, compares the current emission levels estimated by the observer in a two-dimensional probabilistic plan and a variable time-window, with those expected if the ATS were operating under normal conditions. The proposed methodology was evaluated in real driving cycles with the ATS subjected to several undesired operating conditions. As a result, the model was able to accurately estimate the levels of ammonia injection failure and catalyst ageing state. Therefore, enabling the control system to modify the ammonia injection strategy to achieve desired levels of NOx and NH3 emissions. es_ES
dc.description.sponsorship This research has been supported by Grant PID2020-114289RB-I00 funded by the Spanish Ministerio de Ciencia e Innovacion, Agencia Estatal de Investigacion, Spain (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 Reserva de todos los derechos 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 Catalyst ageing es_ES
dc.subject.classification MAQUINAS Y MOTORES TERMICOS es_ES
dc.subject.classification INGENIERIA AEROESPACIAL es_ES
dc.title Model-based simultaneous diagnosis of ammonia injection failure and catalyst ageing in deNOx engine after-treatment systems es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.fuel.2023.127802 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 Embargado es_ES
dc.date.embargoEndDate 2025-07-01 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.; Piqueras, P.; Bares-Moreno, P.; Nakaema-Aronis, A. (2023). Model-based simultaneous diagnosis of ammonia injection failure and catalyst ageing in deNOx engine after-treatment systems. Fuel. 343:1-13. https://doi.org/10.1016/j.fuel.2023.127802 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.1016/j.fuel.2023.127802 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 13 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 343 es_ES
dc.relation.pasarela S\502435 es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES


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