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Verification and Comparison of Nine Exhaust Gas Recirculation Mass Flow Rate Estimation Methods.

Ádám Nyerges1, Máté Zöldy1

  • 1Department of Automotive Technologies, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, H-1521 Budapest, P.O.B. 91, Hungary.

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Accurately estimating exhaust gas recirculation (EGR) mass flow rates in modern diesel engines is challenging. This study shows oxygen sensors provide verifiable signals, unlike fresh air or NOx sensors, for reliable EGR flow estimation.

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air path system sensorsdiesel enginesdual loop exhaust gas recirculationmass flow rate estimation

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Area of Science:

  • Automotive Engineering
  • Internal Combustion Engines
  • Environmental Control Systems

Background:

  • Modern diesel engines utilize complex exhaust gas recirculation (EGR) systems for emissions control.
  • Measuring EGR mass flow rates accurately is difficult due to high operating temperatures and system complexity.
  • Existing estimation methods often rely on pressure sensors, which may not be optimal for control applications.

Purpose of the Study:

  • To present and compare nine different methods for estimating EGR mass flow rates.
  • To identify suitable sensor architectures and highlight estimation challenges.
  • To evaluate the accuracy and verifiability of different sensor signals for EGR estimation.

Main Methods:

  • Development and presentation of nine EGR mass flow rate estimation methods.
  • Comparison of estimation methods using stationary and transient operational data.
  • Evaluation of estimated EGR mass flow rates against verification conditions.
  • Analysis of sensor inaccuracies and their impact on estimation.

Main Results:

  • Intake and exhaust side oxygen sensors provide verifiable signals for EGR mass flow rate estimation.
  • Fresh air mass flow rate and nitrogen oxide (NOx) signals are not consistently accurate enough for reliable EGR estimation across all conditions.
  • Sensor inaccuracies significantly affect the precision of EGR mass flow rate estimations.

Conclusions:

  • Oxygen sensors are recommended for accurate EGR mass flow rate estimation in diesel engines.
  • Careful consideration of sensor limitations and potential inaccuracies is crucial for robust EGR control systems.
  • Gas composition-based models, leveraging oxygen sensor data, offer improved control potential compared to pressure-based methods.