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Model-Based Ammonia Slip Observation for SCR Control and Diagnosis

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Model-Based Ammonia Slip Observation for SCR Control and Diagnosis

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Guardiola, C.; Pla Moreno, B.; Bares-Moreno, P.; Mora, J. (2020). Model-Based Ammonia Slip Observation for SCR Control and Diagnosis. IEEE/ASME Transactions on Mechatronics. 25(3):1346-1353. https://doi.org/10.1109/TMECH.2020.2974341

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/168875

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Title: Model-Based Ammonia Slip Observation for SCR Control and Diagnosis
Author: Guardiola, Carlos Pla Moreno, Benjamín Bares-Moreno, Pau Mora, Javier
UPV Unit: Universitat Politècnica de València. Departamento de Máquinas y Motores Térmicos - Departament de Màquines i Motors Tèrmics
Issued date:
Abstract:
[EN] The control of selective catalytic reduction (SCR) systems, via NH3 injection, requires from a precise estimation of the SCR load in order to ensure NOx reduction by minimizing ammonia slip. This article aims to resolve ...[+]
Subjects: Cross-sensitivity , Diesel engine emissions , Kalman filter , NOx sensor , SCR
Copyrigths: Reserva de todos los derechos
Source:
IEEE/ASME Transactions on Mechatronics. (issn: 1083-4435 )
DOI: 10.1109/TMECH.2020.2974341
Publisher:
Institute of Electrical and Electronics Engineers
Publisher version: https://doi.org/10.1109/TMECH.2020.2974341
Project ID:
info:eu-repo/grantAgreement/MINECO//TRA2016-78717-R/ES/ESTRATEGIAS DE CONTROL BASADAS EN LA INFORMACION CONTEXTUAL DEL VEHICULO PARA LA REDUCCION DEL CONSUMO DE COMBUSTIBLE Y LAS EMISIONES EN CONDICIONES REALES DE CONDUCCION/
Description: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Thanks:
This work was supported by the Spanish Ministerio de Economia, Industria y Competitividad under project TRA2016-78717-R.
Type: Artículo

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