학술논문

Designing Next Generation Exhaust Aftertreatment Systems Using Machine Learning
Document Type
Academic Journal
Source
SAE International Journal of Commercial Vehicles. December, 2020, Vol. 13 Issue 3, p215, 6 p.
Subject
Nitrogen oxide
Transportation equipment industry
Machine learning
Air pollution
Language
English
ISSN
1946-391X
Abstract
Abstract With ever tightening emission standards, the automotive industry is continuously seeking novel ways to improve the aftertreatment system (ATS). Exhaust treatment systems using diesel emission fluid (DEF), in conjunction [...]