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The subject of this paper is the reduction of the particle number emissions of a gasoline DI engine at high engine load (1.4 MPa IMEP). To reduce the particle number emissions, several parameters are investigated: the large scale charge motion (baseline configuration, tumble and swirl) can be varied at the single cylinder engine by using inlays in the intake port. The amount of residual gas can be influenced by the exhaust backpressure. By using a throttle valve, the exhaust backpressure can be set equal to the intake pressure and hence simulate a turbocharger's turbine in the exhaust system or the throttle valve can be wide open and thus simulate an engine using a supercharger. Additionally, higher fuel injection pressure can help to enhance mixture formation and thus decrease particulate formation. Therefore, a solenoid injector with a maximum pressure of 30 MPa is used in this work.

Driving fun - one of the major thrills expected by the buyers of high-performance cars - must be absolutely preserved despite all the measures required to further reduce the car's exhaust emissions and fuel consumption. Powerful engines with high BMEP levels require large unrestricted inlet and outlet valve diameters and lifts as well as a wide camshaft phasing range at least on the intake side. In terms of exhaust emissions and fuel economy such an engine layout is rather unfavourable. Its inherent drawbacks, however, can be compensated by providing for what might be called a “two-in-one” configuration which combines a low-emission concept including intake-valve lift shifting and exhaust-camshaft phasing with a high-performance-engine concept complete with a wide intake camshaft phasing range and large intake valve lifts and a Varioram intake system. With this basic layout, even high-performance sports cars are able of falling below the current ULEV limits.

The goal of reducing the impact of road transportation on the environment can be reached by different approaches. The use of non-fossil synthetic fuels from renewable energy sources in the entire fleet of internal combustion engine vehicles is only one promising pathway to minimize the vehicle’s carbon footprint during the use phase. The steadily tightening emissions legislation confront the developers of future combustion engines with major challenges: Historically, the chemical and physical improvement of the combustion process, tail pipe emissions reduction and the development of optimized after-treatment systems were linked to improvements in fuel quality. In order to further decrease exhaust gas emissions, the optimization of the chemical composition of renewable fuels are a basic requirement.

Investigations were performed, in which the emission behavior of renewable and conventional fuels of different composition and renewable fuel components was observed. The influence of the start of injection on the emissions at WOT was investigated. This shows how much wall and valve wetting as well as the available evaporation time affects the mixture formation of the different fuels. Further, the air fuel ratio in an operating point for catalytic converter heating, with medium engine temperatures, was varied. This shows the ability of evaporation of the fuels at engine warm-up conditions and sub-stochiometric λ-values. The studied fuels were four fuel mixtures of significantly different composition of which three were compliant with the European fuel standard EN 228. A RON 98 in-field fuel, a Euro 6 reference fuel, an Anti-Spark-Fouling (ASF) fuel (designed for minimum soot production) and a potentially completely renewable, thus CO2-neural, fuel, which is designed by Dr. Ing. h.c.

In marine or stationary engines, consistent engine performance must be guaranteed for long-haul operations. A dual-fuel combustion strategy was used to reduce the emissions of particulates and nitrogen oxides in marine engines. However, in this case, the combustion stability was highly affected by environmental factors. To ensure consistent engine performance, the in-cylinder pressure measured by piezoelectric pressure sensors is generally measured to analyze combustion characteristics. However, the vulnerability to thermal drift and breakage of sensors leads to additional maintenance costs. Therefore, an indirect measurement via a reconstruction model of the in-cylinder pressure from engine block vibrations was developed. The in-cylinder pressure variation is directly related to the block vibration; however, numerous noise sources exist (such as, valve impact, piston slap, and air flowage).

Due to increasing interest in air quality concerns, worldwide legislation towards lower particle emissions is getting more and more stringent. Because of this, the development towards even cleaner internal combustion engines (ICE) with Spark Ignition (SI) is of upmost importance. Along with the development targeting higher efficiency and specific power output, Direct Injection (DI) technology became more and more important than Port Fuel Injection (PFI) and is one of the main SI engine development fields. SI engine mixture preparation (PFI or DI) and combustion produce much lower particle raw emissions than Diesel engines, but these emissions also have to be reduced to fulfill worldwide legislation and customer expectations. In this paper the focus lies on the analysis and development methods used to drastically reduce particle emissions in a gasoline-fueled DI SI engine.

Regulations around the globe are driving the adoption of alternative fuels and vehicles through the implementation of stricter standards aimed at reducing carbon footprint and criteria emissions such as nitrogen oxides (NOx), particulate matter (PM), and total hydrocarbon (THC) emissions. Low emission zones have been implemented across Europe which restrict access by some vehicles with the aim of improving the air quality. The Paris Agreement on climate change declared governments’ intentions to reduce greenhouse gas (GHG) emissions as outlined in each country’s nationally determined contribution. Providing affordable energy to support prosperity while reducing environmental impacts, including the risks of climate change, is the dual challenge for the energy and transport industries.

For the measurement of exhaust emissions, Constant Volume Sampling (CVS) technology is recommended by legislation and has proven its practical capability in the past. However, the introduction of new low emission standards has raised questions regarding the accuracy and variability of the CVS system when measuring very low emission levels. This paper will show that CVS has the potential to achieve sufficient precision for certification of SULEV concepts. Thus, there is no need for the introduction of new test methods involving high cost. An analysis of the CVS basic equations indicates the importance of the Dilution Factor (DF) for calculating true mass emissions. A test series will demonstrate that, by adjusting the dilution and using state of the art analyzers, the consistency of exhaust results is comparable with those of LEV concepts, measured with conventional CVS systems and former standard analyzers.

The scope of this work is to propose a methodology to define multicomponent surrogate mixtures which describe the main evaporation characteristics of real gasoline fuels. Since real fuels are commonly complex mixtures with hundreds or thousands of hydrocarbons, their exact composition is generally not known. Only global characteristics are standardized. An accurate modeling of such complex mixtures in 3D-CFD requires the definition of a suitable surrogate. So far, surrogate mixtures have mostly been defined based on their combustion properties, such as ignition delay or burning velocity, irrespective of their evaporation characteristics. For this reason, in this work, a systematic study is carried out to develop a methodology to define mixtures of representative components that mimic the evaporation behavior of real fuels.

In this work a detailed soot model based on stationary flamelets is used to simulate soot emissions of a reactive Diesel spray. In order to represent soot formation and oxidation processes properly, a calibration of the soot reaction rates has to be performed. This model calibration is usually performed on basis of engine out soot measurements. Contrary to this, in this work the soot model is calibrated on local soot concentrations along the spray axis obtained from laser extinction chamber measurements. The measurements are performed with B7 certification Diesel and a series production multihole injector to obtain engine similar boundary conditions. In order to ensure that the flow and mixture field is captured well by the CFD-simulation, the simulated liquid penetration lengths and flame lift-off lengths are compared to chamber measurements.

Electric driven Vehicles (EV) can help reduce CO2 emissions caused by traffic. High acquisition costs and the limited driving range of electric vehicles are their major drawbacks. In the last few years many efforts in research have been made to increase the usability of EV's. A Battery Electric Vehicle (BEV) consists mainly of an electric motor and a battery. Both components allow regenerative braking, where kinetic energy can be transformed back to electric energy and stored in the battery during braking. Several types of Regenerative Braking Systems (RBS) already exist. These systems differentiate from each other by the concepts and strategies used, and therefore have different potential to increase the driving range of electric driven vehicles. Furthermore, the potential depends on the actual traffic situation and the actual state of the vehicle components.

Enhanced technological capabilities render the application of various, increasingly complex, functional concepts for automated driving possible. In the process, the significance of automotive software for a satisfactory driving experience is growing. To benefit from these new opportunities, thorough assessment in early development stages is highly important. It enables manufacturers to focus resources on the most promising concepts. For early assessment, a common approach is to set up vehicles with additional prototyping hardware and perform real world testing. While this approach is essential to assess the look-and-feel of newly developed concepts, its drawbacks are reduced reproducibility and high expenses to achieve a sufficient and balanced sample. To overcome these drawbacks, new flexible, realistic and preferably automated virtual test methods to complement real world verification and validation are especially required during early development phases.

The complex design and loading conditions of the wheel-hub assembly and decisive safety demands make it necessary to proof the wheel fasteners under reliable, service-like testing conditions. In this paper main parameters, the function and fatigue life of wheel fasteners and consequences for testing are described and discussed. The test procedure is based on the Biaxial Wheel Test Method, whereby the existing load program »Eurocycle« was extended by additional braking and torsional force sequences. The test requirement and some typical test results are presented.

The potential of plasma enhanced selective catalytic reduction (PE-SCR) for Diesel-exhaust treatment at temperatures between 60 °C and 180 °C has been investigated in test bench measurements with a 1.9 liter 66 kW VW Passat TDI engine. Non-thermal plasmas were generated by pulsed electrical excitation of dielectric barrier discharge (DBD) modules each having a flow cross section of 9.5 cm2 and an electrode length of 26 cm. Monolithic V2O5-WO3/TiO2-catalysts with cell densities of 150 cpsi and 200 cpsi were used for selective catalytic reduction. First experiments were performed with a single DBD module and a catalyst volume of 3.5 liters. For temperatures between 100 °C and 160 °C and exhaust gas flow rates below 1200 liters (STP)/min NOx-reduction rates up to 14 g/h were obtained with an energy cost of about 20 Wh/g NOx. At larger gas flow rates NOx-reduction rates decreased even at higher temperatures.

Investigations were performed, in which fuels and fuel components were compared regarding gaseous as well as particulate number (PN) emissions. The focus on the selection of the fuel components was set on the possibility of renewable production, which lead to Ethanol, as the classic bio-fuel, Isopropanol, Isobutanol and methyl tert-butyl ether (MTBE). As fuels, a Euro 6 (EU6) reference fuel, an anti-spark-fouling (ASF) fuel, a European Super Plus (RON 98) in-field fuel and a potentially completely renewable fuel, which was designed by Porsche AG (named POSYN), were chosen. The composition of the fuels differs significantly which results in large differences in the exhaust gas emissions. The fuels, except ASF, are compliant with the European fuel standard EN 228.The experiments chosen were a variation of the start of injection (SOI) at different load points at a constant engine speed of 2000 rpm, amongst others.

High frequency ignition (HFI) and conventional transistor coil ignition (TCI) were investigated with an optically accessible single-cylinder research engine to gain fundamental understanding of the chemical reactions taking place prior to the onset of combustion. Instead of generating heat in the gap of a conventional spark plug, a high frequency / high voltage electric field is employed in HFI to form chemical radicals. It is generated using a resonant circuit and sharp metallic tips placed in the combustion chamber. The setup is optimized to cause a so-called corona discharge in which highly energized channels (streamers) are created while avoiding a spark discharge. At a certain energy the number of ionized hydrocarbon molecules becomes sufficient to initiate self-sustained combustion. HFI enables engine operation with highly diluted (by air or EGR) gasoline-air mixtures or at high boost levels due to the lower voltage required.

The gradual global tightening of emission legislation for particulate matter emissions requires the development of new gasoline engine exhaust aftertreatment systems. For this reason, the development of gasoline direct injection engines aims at the reduction of particulate emissions by application of a Gasoline Particulate Filter (GPF). The regeneration temperature of GPF depend on soot reactivity towards oxidation and therefore on particle properties. In this study, the soot reactivity is correlated with nanostructural characteristics of primary gasoline particles as a function of specific engine injection parameters. The investigations on particle emissions were carried out on a turbocharged 4-cylinder GDI-engine that allows the variation of injection parameters. The emitted engine soot particles have been in-situ characterized towards their number and size distribution using an engine exhaust particle sizer (EEPS).

The emission of formaldehyde and its removal has recently been brought into the focus of exhaust gas catalysis beside reduction off pollutants like hydrocarbons, carbon monoxide and nitrogen oxides. In this study, five commercial Pt-based catalysts were tested on their ability to oxidize formaldehyde under a variety of gas mixtures representing typical conditions of lean burn gas engines. In general, most of the formaldehyde could be removed almost as efficiently as carbon monoxide and much easier than saturated hydrocarbons. The catalysts were aged in different simulated exhaust gas mixtures including varying SO2 concentrations at 500 °C for 100 h to investigate a possible loss of activity due to thermal aging and poisoning. In a sulfur-free simulated exhaust gas very high conversion with no detectable loss of activity due to the aging was observed. Also small amounts of SO2 (1.75 ppm) had only minor effects on formaldehyde conversion.

The requirements for modern drivetrains are increasing across all industries. Even mobile working machines such as agricultural and construction machinery are subject to increasingly higher demands in terms of efficiency and CO2 emissions. To verify these requirements and drive further development, it is necessary for testing processes to comprehensively evaluate the machine and its operational processes. For this purpose, the MOBiL testing approach was developed at the Institute of Mobile Machines. This approach incorporates parallel drivetrains, information flow and the environment of the driving and working task. To implement this approach in a complete vehicle testbench, a framework was developed that enables fully individual driving and working tasks of a mobile working machine to be replicated on a test bench. The basis for this framework is the Robot Operating System (ROS), which runs various nodes.

As an important means of engine development and optimization, modelbuilding plays an increasingly important role in reducing carbon dioxide emissions of the internal combustion engines (ICEs). However, due to the non-linearity and high dimension of the engine system, a large amount of data is required to obtain high model accuracy. Therefore, a modelling approach combining the experimental data and prior knowledge was proposed in this study. With this method, an artificial neural network (ANN) model simulating the engine brake specific fuel consumption (BSFC) was established. With mean square error (MSE) and Kullback-Leibler divergence (KLD) serving as the fitness functions, the 86 experimental samples and constructed physical models were used to optimize the ANN weights through genetic algorithms.