Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi !

Automatic Tuning Methodology for Automotive Lean NOx Trap Catalyst Using Response Data (CROSBI ID 667832)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Zglav, Ante ; Kovačić, Zdenko ; Balenović, Mario Automatic Tuning Methodology for Automotive Lean NOx Trap Catalyst Using Response Data // Proceedings of the 6th International Symposium on Computational and Business Intelligence (ISCBI2018). Basel, 2018. str. 1-7

Podaci o odgovornosti

Zglav, Ante ; Kovačić, Zdenko ; Balenović, Mario

engleski

Automatic Tuning Methodology for Automotive Lean NOx Trap Catalyst Using Response Data

This article provides an overview of the Lean NOx trap (LNT) catalysts’ operating mechanism and proposes a method for auto-tuning the LNT model using response data. LNT catalysts are used in automotive applications to reduce NOx emissions from diesel engines, or lean-burn engines in general. The LNT catalyst is a complex nonlinear chemical system designed for cyclic operations, which can be very difficult to model in detail. Therefore, a simplified model was used which is based on the main chemical and physical processes typical to LNT. To tune the model, the method of choice of temperature for the lookup tables associated with multi- objective optimization and different input data sources was used: both steady state tests performed on a synthetic gas bench and more dynamic enginedynamo tests.

Optimization, catalyst, LNT, Multi-objective optimization, NSGA-II, modeling, Lean NOx trap

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o prilogu

1-7.

2018.

objavljeno

Podaci o matičnoj publikaciji

Proceedings of the 6th International Symposium on Computational and Business Intelligence (ISCBI2018)

Basel:

Podaci o skupu

6th International Symposium on Computational and Business Intelligence (ISCBI 2018)

predavanje

27.08.2018-29.08.2018

Basel, Švicarska

Povezanost rada

Elektrotehnika