Burner Development for Light-Off Speed-Up of Aftertreatment Systems in Gasoline SI engines

Battistoni, Michele; Zembi, Jacopo; Casadei, Daniele; Ricci, Federico; Martinelli, Roberto; Grimaldi, Carlo N.; Sana, Marco La; Brignone, Mauro; Mantovanelli, Alessandro; Milani, Emanuele

doi:10.4271/2022-37-0033

Cited by 10 publications

(1 citation statement)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The synergy between computational and experimental methods allowed in-depth analysis of the physical phenomena occurring in spark-ignition (SI) engines [5,6]. Optical diagnostic techniques [7][8][9] proved to be valid tools for examining the spatial and temporal evolution of the flame front produced by innovative ignition systems called ACISs (Advanced Corona Ignition Systems), which represent alternative solutions to the traditional spark for facing future high-efficiency SI engines [10][11][12]. Such systems guarantee stable ignitions and strong combustion processes characterized by low cycle-to-cycle variability even at critical operating conditions, such as, for instance, highly diluted and/or extremely lean mixtures [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Detecting the Flame Front Evolution in Spark-Ignition Engine under Lean Condition Using the Mask R-CNN Approach

et al. 2022

View full text Add to dashboard Cite

In the wake of previous works, the authors propose a new approach for the identification and evolution of the flame front in an optical SI engine. Currently, it is an essential prerogative to characterize the capability of innovative igniters to guarantee earlier flame development in critical operating conditions, such as ultra-lean mixture, towards which automotive research is moving to deal with the ever more stringent regulations on pollutant emissions. The core of the new approach lies in the R-CNN Mask method. The latter consists of a conceptually simple and general framework for object instance segmentation. It can efficiently detect objects contained in an image while simultaneously generating a high-quality segmentation mask for each instance. In particular, the aim this work is to develop an automatized algorithm for detecting, as objectively as possible, the flame front evolution of lean/ultra-lean mixtures ignited by low-temperature plasma-based ignition systems. The capability of the Mask R-CNN algorithm to automatically estimate the binarized area, without setting a defined binarized threshold, allows us to perform an analysis of the flame front evolution completely independent from the user interpretation. Mask R-CNN can detect the kernel in advance and can identify events as regular combustions instead of misfires or anomalies if compared to other traditional approaches. These features make the proposed method the most suitable option to analysis the real behavior of the innovative ignition systems at critical operating conditions.

show abstract

Section: Introductionmentioning

confidence: 99%

Detecting the Flame Front Evolution in Spark-Ignition Engine under Lean Condition Using the Mask R-CNN Approach

et al. 2022

View full text Add to dashboard Cite

show abstract

Challenges and Solutions to Meet the Euro 7 NOx Emission Requirements for Diesel Light-Duty Commercial Vehicles

Kossioris,

Maurer,

Sterlepper

et al. 2024

Emiss. Control Sci. Technol.

View full text Add to dashboard Cite

The improvement of air quality requires a further reduction of pollutant emissions, especially in urban areas. The Euro 7 regulations aim at the development of a new generation of internal combustion engine vehicles capable of achieving ultra-low pollutant emissions under demanding, real-world operating conditions. They introduce new technical challenges in the holistic design of a vehicle’s powertrain and emission control system. To identify these, four real-world Euro 7 driving scenarios are investigated, covering demanding urban, highway and mountain driving situations. Technical solutions are then presented to address these challenges and ensure compliance with the Euro 7 emission requirements as set out in the latest regulation proposal of the European Commission. The study focuses on the NOx emissions of an N1 Class III light commercial vehicle with 3.5 t mass and a P2 diesel mild-hybrid powertrain. To ensure emission compliance, a Euro 6e exhaust gas aftertreatment system with enlarged catalysts is combined with NOx raw emission improvements. For low-load cold starts, a 4-kW electric heater in the exhaust system is considered in addition to a 2-l DOC and a 6-l DPF with SCR coating. For high-load cycles with high raw emissions, a 10-l underfloor SCR is considered to ensure the necessary deNOx performance.

show abstract

Heating and storage: A review on exhaust thermal management applications for a better trade-off between environment and economy in ICEs

Liao

et al. 2023

Applied Thermal Engineering

View full text Add to dashboard Cite

Burner Development for Light-Off Speed-Up of Aftertreatment Systems in Gasoline SI engines

Cited by 10 publications

References 21 publications

Detecting the Flame Front Evolution in Spark-Ignition Engine under Lean Condition Using the Mask R-CNN Approach

Detecting the Flame Front Evolution in Spark-Ignition Engine under Lean Condition Using the Mask R-CNN Approach

Challenges and Solutions to Meet the Euro 7 NOx Emission Requirements for Diesel Light-Duty Commercial Vehicles

Heating and storage: A review on exhaust thermal management applications for a better trade-off between environment and economy in ICEs

Contact Info

Product

Resources

About