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An investigation on ignition-delay modelling for control

Ingesson, Gabriel LU ; Yin, Lianhao LU ; Johansson, Rolf LU and Tunestål, Per LU (2017) In International Journal of Powertrains 6(3). p.282-306
Abstract

The ignition delay is an important quantity in low temperature combustion concepts where a prolonged ignition delay gives an enhanced fuel-air mixing process, favourable for decreased particulate and NOx emission levels. This article experimentally evaluates three different low-order physics-based correlation models and their ability to predict the ignition delay for the purpose of model-based controller design. The models relate the state of the gas mixture after the point of fuel injection in order to predict the ignition delay. The experiments were all performed on a six-cylinder direct-injection Scania diesel engine with a fuel mixture of 80 vol% gasoline and 20 vol% n-heptane. The results showed that ignition-delay... (More)

The ignition delay is an important quantity in low temperature combustion concepts where a prolonged ignition delay gives an enhanced fuel-air mixing process, favourable for decreased particulate and NOx emission levels. This article experimentally evaluates three different low-order physics-based correlation models and their ability to predict the ignition delay for the purpose of model-based controller design. The models relate the state of the gas mixture after the point of fuel injection in order to predict the ignition delay. The experiments were all performed on a six-cylinder direct-injection Scania diesel engine with a fuel mixture of 80 vol% gasoline and 20 vol% n-heptane. The results showed that ignition-delay variation was not easily predicted when the injection timing was varied close to top-dead-centre but that the model performance satisfactorily during intake-condition variations. The results also showed that a more complex model did not necessarily give an increased prediction performance.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Ignition-delay modelling, Modelling for control, Partially premixed combustion, PPC, System identification
in
International Journal of Powertrains
volume
6
issue
3
pages
25 pages
external identifiers
  • scopus:85033668804
ISSN
1742-4267
DOI
10.1504/IJPT.2017.087895
language
English
LU publication?
yes
id
27a4122f-8bce-499c-a6f0-7ca2641bd9cd
date added to LUP
2017-11-24 08:52:30
date last changed
2018-03-16 12:30:40
@article{27a4122f-8bce-499c-a6f0-7ca2641bd9cd,
  abstract     = {<p>The ignition delay is an important quantity in low temperature combustion concepts where a prolonged ignition delay gives an enhanced fuel-air mixing process, favourable for decreased particulate and NO<sub>x</sub> emission levels. This article experimentally evaluates three different low-order physics-based correlation models and their ability to predict the ignition delay for the purpose of model-based controller design. The models relate the state of the gas mixture after the point of fuel injection in order to predict the ignition delay. The experiments were all performed on a six-cylinder direct-injection Scania diesel engine with a fuel mixture of 80 vol% gasoline and 20 vol% n-heptane. The results showed that ignition-delay variation was not easily predicted when the injection timing was varied close to top-dead-centre but that the model performance satisfactorily during intake-condition variations. The results also showed that a more complex model did not necessarily give an increased prediction performance.</p>},
  author       = {Ingesson, Gabriel and Yin, Lianhao and Johansson, Rolf and Tunestål, Per},
  issn         = {1742-4267},
  keyword      = {Ignition-delay modelling,Modelling for control,Partially premixed combustion,PPC,System identification},
  language     = {eng},
  number       = {3},
  pages        = {282--306},
  series       = {International Journal of Powertrains},
  title        = {An investigation on ignition-delay modelling for control},
  url          = {http://dx.doi.org/10.1504/IJPT.2017.087895},
  volume       = {6},
  year         = {2017},
}