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

Autori
Zglav, Ante ; Kovačić, Zdenko ; Balenović, Mario

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 6th International Symposium on Computational and Business Intelligence (ISCBI2018) / - Basel, 2018, 1-7

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

Mjesto i datum
Basel, Švicarska, 27.08.2018. - 29.08.2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

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

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA