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An Investigation on Ignition Delay Modeling For Control

Ingesson, Gabriel LU ; Yin, Lianhao LU ; Tunestål, Per LU and Johansson, Rolf LU (2016) In International Journal of Powertrains
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, favorable for decreased particulate and NOx emission levels. This article investigates three different low-order physics-based correlation models and their ability to predict the ignition delay for the purpose of model-based controller design. This is done by the principle of cross validation, i.e., by first training the models on a training data set and then evaluating the models prediction performance on a cross-validation data set. 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... (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, favorable for decreased particulate and NOx emission levels. This article investigates three different low-order physics-based correlation models and their ability to predict the ignition delay for the purpose of model-based controller design. This is done by the principle of cross validation, i.e., by first training the models on a training data set and then evaluating the models prediction performance on a cross-validation data set. 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 6-cylinder direct-injection Scania diesel engine with a fuel mixture of 80 volume % gasoline and 20 volume % N-heptane. The results showed that ignition delay variation was not easily predicted when the injection timing was varied close to top dead center. The results also showed that a more complex model did not necessarily give an increased prediction performance at individual operating points. The simplest model which was more easily linearized and calibrated thus showed to be a good option for model-based controller design. (Less)
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alternative title
An Investigation on Ignition Delay Modeling For Control
publishing date
type
Contribution to journal
publication status
in press
subject
keywords
Ignition delay modeling, System identification, Partially Premixed Combustion
in
International Journal of Powertrains
ISSN
1742-4267
language
English
LU publication?
yes
id
ff5905ad-87f2-4bfd-b16f-57d99f790725
date added to LUP
2017-02-20 07:42:34
date last changed
2017-02-20 12:53:40
@article{ff5905ad-87f2-4bfd-b16f-57d99f790725,
  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, favorable for decreased particulate and NOx emission levels. This article investigates three different low-order physics-based correlation models and their ability to predict the ignition delay for the purpose of model-based controller design. This is done by the principle of cross validation, i.e., by first training the models on a training data set and then evaluating the models prediction performance on a cross-validation data set. 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 6-cylinder direct-injection Scania diesel engine with a fuel mixture of 80 volume % gasoline and 20 volume % N-heptane. The results showed that ignition delay variation was not easily predicted when the injection timing was varied close to top dead center. The results also showed that a more complex model did not necessarily give an increased prediction performance at individual operating points. The simplest model which was more easily linearized and calibrated thus showed to be a good option for model-based controller design.},
  author       = {Ingesson, Gabriel and Yin, Lianhao and Tunestål, Per and Johansson, Rolf},
  issn         = {1742-4267},
  keyword      = {Ignition delay modeling, System identification, Partially Premixed Combustion},
  language     = {eng},
  month        = {09},
  series       = {International Journal of Powertrains},
  title        = {An Investigation on Ignition Delay Modeling For Control},
  year         = {2016},
}