Identification of Emission Measurement Dynamics for Diesel Engines

Mrosek, Matthias; Sequenz, Heiko; Isermann, Rolf

doi:10.3182/20110828-6-it-1002.03574

Cited by 12 publications

(6 citation statements)

References 8 publications

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“…Regardless of the final strategy, improving transient operation requires from fast and accurate onboard NOx measurement. Although NOx sensors are currently being installed on commercial engines [9], they do not have an optimal time response for transient operation (around 750 ms [10,11]). NOx models present an opportunity to improve transient sensor response by online model adaptation [12], or even to replace physical sensors and lowering then the costs.…”

Section: Lots Of Authors Have Published Work About Posttreatment Sysmentioning

confidence: 99%

Cycle by cycle NOx model for diesel engine control

Guardiola

Martín

Plá

et al. 2017

Applied Thermal Engineering

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This paper presents a model for on-line NOx estimation. The method uses both, low frequency components and high frequency components of in-cylinder pressure signal: it harnesses in-cylinder pressure resonance to estimate the trapped mass, and based on this measurement, a NOx model is adapted to estimate NOx emissions cycle by cycle. In addition of the in-cylinder pressure signal, the procedure only requires from lambda and air mass flow to estimate NOx, so it can give a direct estimation of NOx or improve transient response and ageing of current NOx sensors. The method was validated on a CI engine with high pressure EGR loop under steady and transient conditions showing errors below 10 % and cycle by cycle time response.

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Section: Lots Of Authors Have Published Work About Posttreatment Sysmentioning

confidence: 99%

Cycle by cycle NOx model for diesel engine control

Guardiola

Martín

Plá

et al. 2017

Applied Thermal Engineering

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“…The initial steepest phase is due to in-cylinder changes, whilst the last phase with low slope is due to heat transmission effects of engine block and exhaust pipes. That is, cylinder gases temperature changes as fast as combustion settings change, but the surrounding metal follows slower heat transmission dynamics [27].…”

Section: 3mentioning

confidence: 99%

Fast estimation of diesel oxidation catalysts inlet gas temperature

Guardiola

Dolz

Plá

et al. 2016

Control Engineering Practice

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With the tightening of on-board diagnostics requirements, accuracy of sensors is essential to monitor the efficiency and ensure a proper control of the after-treatment systems. Temperature sensors are commonly used in the exhaust line at the diesel oxidation catalyst-inlet of turbocharged diesel engines for control and diagnosis of the after-treatment system. In particular, negative temperature constant sensors are used for this purpose. However, due to the necessary on-board robustness that sensors must fulfil, thermal inertia causes significant differences during engine transient operating conditions in temperature measurements. A Kalman filter is proposed in this paper for the on-line dynamic estimation of the catalyst-inlet temperature, which combines a slow but accurate measurement of the on-board temperature sensor with a fast but drifted temperature model. A fast research-grade thermocouple is used as reference of the actual exhaust gas temperature and a frequency analysis is performed in order to calibrate the model and analyse results of the signal reconstruction. Results of the algorithm are then successfully proved in experimental transient tests and typical European approval test cycles.

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“…The dotted box is the desired estimation of raw soot emission and the rest illustrates the dynamics of transportation. In some studies, [26][27][28][29] the transportation dynamics in the exhaust pipe is modeled as a first-order filter with dead time. The dead time and coefficients in the filter are given as a function of the exhaust gas flow.…”

Section: Choice Of Model Structurementioning

confidence: 99%

Real time soot models for production CI engines based on pressure trace information

Zhang

Waschl

Fuerhapter

et al. 2016

International Journal of Engine Research

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Better knowledge of the instantaneous soot and nitrogen oxides (NOx) emissions in Diesel engines would allow better choices of injection parameters and thus lead to better raw emissions than, for instance, with classical averaged measures, like smoke maps. Unfortunately, while for most regulated emissions fast measurements are possible and reasonably fast sensors are available, the same is not true for soot. Against this background, this paper proposes a real time, delay-free soot model based on the pressure trace information. The model essentially maps changes of the pressure trace into changes of the raw soot emissions. The key elements of the approach are the design of experiments, segmentation of the pressure trace and the use of the principal component analysis technique to extract the essential information. The model is based only on data; that is, it needs an initial calibration with working points measured with a standard device, such as an AVL Microsoot or Opacimeter. This paper describes the method and then shows validation results with an additional amount of pilot injection in one cylinder which confirms the delay-free soot estimation.

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Identification of Emission Measurement Dynamics for Diesel Engines

Cited by 12 publications

References 8 publications

Cycle by cycle NOx model for diesel engine control

Cycle by cycle NOx model for diesel engine control

Fast estimation of diesel oxidation catalysts inlet gas temperature

Real time soot models for production CI engines based on pressure trace information

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