Modeling and Predicting Heavy-Duty Vehicle Engine-Out and Tailpipe Nitrogen Oxide (NO(x)) Emissions Using Deep Learning

As emissions regulations for transportation become stricter, it is increasingly important to develop accurate nitrogen oxide (NO(x)) emissions models for heavy-duty vehicles. However, estimation of transient NO(x) emissions using physics-based models is challenging due to its highly dynamic nature,...

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Detalles Bibliográficos
Autores principales: Pillai, Rinav, Triantopoulos, Vassilis, Berahas, Albert S., Brusstar, Matthew, Sun, Ruonan, Nevius, Tim, Boehman, André L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9016636/
https://www.ncbi.nlm.nih.gov/pubmed/35445105
http://dx.doi.org/10.3389/fmech.2022.840310

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9016636/
https://www.ncbi.nlm.nih.gov/pubmed/35445105
http://dx.doi.org/10.3389/fmech.2022.840310

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