2025+ Requirements on Emission Control

Autoren

Prof. Dr.techn. Christian Beidl, Harun Zlojo, MSc., Alexander Kuznik, MSc.,
Institut für Verbrennungskraftmaschinen und Fahrzeugantriebe (vkm), Technische Universität Darmstadt

Zusammenfassung

Real Driving Emissions (RDE) and the increasing powertrain diversity lead to new numerous challenges for emission control systems. Since powertrain solutions for 2025+ are still in development, an innovative semi-physical simulation approach is chosen to investigate powertrain trends in virtual RDE scenarios. Those models fulfill the demands of high model accuracy in regard of engine out raw emissions and thermodynamic conditions even under transient conditions and achieve a fast runtime.

Based on a developed scenario for 2025+, a representative powertrain and vehicle selection for the virtual RDE assessment is investigated. The six powertrains represent a mix of different combustion engines powered by diesel, gasoline or Compressed Natural Gas (CNG) in combination with variable degrees of hybridization, using P0 and P2 configuration as well as a Plug-in Hybrid Electric Vehicle (PHEV) structure. The considered vehicle range spreads from small cars to executive SUVs.

For the virtual RDE assessment four routes, which differ in respect of driving profile and boundary conditions, have been generated. Two routes satisfy the RDE boundary conditions, whereas two other ones exceed them in order to explore emission challenges outside of today’s RDE boundary conditions. The conventional powertrains
show a significant pollutant emission increment by around 50 % when surpassing current RDE limitations. Especially short emission peaks during transient driving maneuvers are considered as main pollutant source and account for about 50 % of the total emissions. With increasing degree of hybridization the correlation between pollutant emissions and driving maneuver decreases. Thus, emission peaks occur less often while thermal conditions within the exhaust system become more challenging which has an impact on the pollutant reduction of emission control systems.

As an overall project result, comprehensive input data for the development of future emission control systems are provided. Furthermore the RDE routes and models can be used for the generation of specific requirement data.

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