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Knock recognition based on vibration signal and Wiebe function in a heavy-duty spark ignited engine fueled with Methane

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Knock recognition based on vibration signal and Wiebe function in a heavy-duty spark ignited engine fueled with Methane

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dc.contributor.author Napolitano, Pierpaolo es_ES
dc.contributor.author Jimenez, Irina Ayelen es_ES
dc.contributor.author Pla Moreno, Benjamín es_ES
dc.contributor.author Beatrice, Carlo es_ES
dc.date.accessioned 2023-06-27T18:01:07Z
dc.date.available 2023-06-27T18:01:07Z
dc.date.issued 2022-05-01 es_ES
dc.identifier.issn 0016-2361 es_ES
dc.identifier.uri http://hdl.handle.net/10251/194577
dc.description.abstract [EN] Increasing demands on higher performance and lower fuel consumption and emissions have lead the path for internal combustion engine development; this race is nowadays directly related of CO2 emissions reduction. In spark-ignited (SI) engines, knock is one of the major barriers to achieve high thermal efficiency at high loads. The knocking risk is even higher in heavy-duty (HD) engines due to the size of the cylinders and to the low rotation speed. This paper proposes a knock detection strategy based on the combination of knock sensors and combustion modeling applied to a HD natural gas (NG) engine. The aim is to have a reliable, economic and computationally efficient algorithm to be implemented directly on the engine ECU. The method proposed has been applied to an extensive set of experimental data acquired on a SI NG heavy-duty engine. The results of the proposed knock estimation method are benchmarks with those based on in-cylinder pressure analysis using piezoelectric transducers. The extension of the method based on in-cylinder pressure to a high displacement heavy-duty NG engine not only represents an innovation, but improves the knock recognition based on in-cylinder pressure compared with conventional methods as MAPO or IMAP. Besides, the development of an alternative method based on knock sensor signal, allows to obtain a higher or equal sensitivity compared to the traditional MAPO method based on in-cylinder pressure, with the advantage of only using knock sensors. es_ES
dc.description.sponsorship Irina Jimenez received a funding through the grant GRISOLIAP/2018/132 and BEFPI/2021/042 from the Generalitat Valenciana, Spain and the European Social Fund. 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 Knock es_ES
dc.subject Heavy-duty engine es_ES
dc.subject Resonance es_ES
dc.subject Wiebe function es_ES
dc.subject.classification MAQUINAS Y MOTORES TERMICOS es_ES
dc.title Knock recognition based on vibration signal and Wiebe function in a heavy-duty spark ignited engine fueled with Methane es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.fuel.2021.122957 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//GRISOLIAP%2F2018%2F132//Ayuda Santiago Grisolia proyecto: Control de motores multicombustible basados en nuevos conceptos de combustión/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//BEFPI%2F2021%2F042/ es_ES
dc.rights.accessRights Abierto 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 Napolitano, P.; Jimenez, IA.; Pla Moreno, B.; Beatrice, C. (2022). Knock recognition based on vibration signal and Wiebe function in a heavy-duty spark ignited engine fueled with Methane. Fuel. 315:1-10. https://doi.org/10.1016/j.fuel.2021.122957 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.fuel.2021.122957 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 10 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 315 es_ES
dc.relation.pasarela S\486974 es_ES
dc.contributor.funder European Social Fund es_ES
dc.contributor.funder Generalitat Valenciana es_ES


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