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Evaluation of Nonlinear Estimation Methods for Calibration of a Heat-Release Model

Ingesson, Gabriel LU ; Yin, Lianhao LU ; Johansson, Rolf LU and Tunestål, Per LU (2016) In SAE International Journal of Engines 125(3).
Abstract
Model-based analysis of in-cylinder pressure sensor signals has been a key component for internal combustion engine research, diagnostics and controller development during the past decades. This analysis is often based on simple thermodynamic models of the in-cylinder processes. In order for the analysis to give accurate results, the models need to be sufficiently calibrated. This paper investigates the use of the extended Kalman filter and the particle filter for the purpose of online estimation of top-dead-center offset, a convective heat-transfer coefficient and cylinder-wall temperature in a Gatowski heat-release model. Simulation results show that the filters are consistent in estimating the true parameters, that the assumed model... (More)
Model-based analysis of in-cylinder pressure sensor signals has been a key component for internal combustion engine research, diagnostics and controller development during the past decades. This analysis is often based on simple thermodynamic models of the in-cylinder processes. In order for the analysis to give accurate results, the models need to be sufficiently calibrated. This paper investigates the use of the extended Kalman filter and the particle filter for the purpose of online estimation of top-dead-center offset, a convective heat-transfer coefficient and cylinder-wall temperature in a Gatowski heat-release model. Simulation results show that the filters are consistent in estimating the true parameters, that the assumed model uncertainty and heat-release noise density works as filter tuning parameters. The filters were found to be sensitive to errors on pressure-sensor offset and the cylinder compression ratio. The filters were also evaluated against experimental data and the result showed converge times of 200 engine cycles with acceptable steady-state variance for both filters. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Heat-Release Analysis, Non-linear Estimation
in
SAE International Journal of Engines
volume
125
issue
3
publisher
SAE
ISSN
1946-3944
project
LCCC
language
English
LU publication?
yes
id
a1a0aee8-7c27-49f9-9612-268466ddaa87 (old id 8866093)
alternative location
http://papers.sae.org/2016-01-0820/
date added to LUP
2016-03-23 12:02:58
date last changed
2016-04-16 12:31:51
@misc{a1a0aee8-7c27-49f9-9612-268466ddaa87,
  abstract     = {Model-based analysis of in-cylinder pressure sensor signals has been a key component for internal combustion engine research, diagnostics and controller development during the past decades. This analysis is often based on simple thermodynamic models of the in-cylinder processes. In order for the analysis to give accurate results, the models need to be sufficiently calibrated. This paper investigates the use of the extended Kalman filter and the particle filter for the purpose of online estimation of top-dead-center offset, a convective heat-transfer coefficient and cylinder-wall temperature in a Gatowski heat-release model. Simulation results show that the filters are consistent in estimating the true parameters, that the assumed model uncertainty and heat-release noise density works as filter tuning parameters. The filters were found to be sensitive to errors on pressure-sensor offset and the cylinder compression ratio. The filters were also evaluated against experimental data and the result showed converge times of 200 engine cycles with acceptable steady-state variance for both filters.},
  author       = {Ingesson, Gabriel and Yin, Lianhao and Johansson, Rolf and Tunestål, Per},
  issn         = {1946-3944},
  keyword      = {Heat-Release Analysis,Non-linear Estimation},
  language     = {eng},
  number       = {3},
  publisher    = {ARRAY(0x96e2150)},
  series       = {SAE International Journal of Engines},
  title        = {Evaluation of Nonlinear Estimation Methods for Calibration of a Heat-Release Model},
  volume       = {125},
  year         = {2016},
}