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, Volume 80, Issue 2, pp 56–60 | Cite as

Real Driving Engine-out NOx Emissions Estimation in Modern Diesel Engines

  • Jordan Rudloff
  • Thomas Leroy
  • Caroline Ngo
  • Fabien Denys
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Groupe PSA and IFPEN have jointly developed a new method to model engine emissions. It performs in many specific situations, and provides opportunities for design and set-up steps. A relevant case, developed here, is an engine-out NOx emissions virtual sensor for diesel applications. The model, based on a neural network and empirical correlations, deals with all real driving conditions and lifetime constraints, like ambient air temperature, humidity and altitude variations. Its development and validation process is based on an extensive series of tests.

Engine-out NOx Emissions Estimation in a RDE Context

Stringent legislation makes modern engines increasingly complex. Due to this, the control system represents an increasingly large fraction of the overall engine cost. It is then of primary importance to limit the number of sensors used to manage the engine and its aftertreatment system. Diesel engines, because of their strong constraints on aftertreatment linked to lean mixtures, are...

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© Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2019

Authors and Affiliations

  • Jordan Rudloff
    • 1
  • Thomas Leroy
    • 1
  • Caroline Ngo
    • 1
  • Fabien Denys
    • 2
  1. 1.IFP Énergies NouvellesRueil-MalmaisonFrankreich
  2. 2.Groupe PSACarrières-sous-PoissyFrankreich

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