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The full vehicle simulation on durability proving grounds is a well established technique in the development process of passenger car manufacturers. The respective road surfaces are designed to generate representative spindle loads and typically include events that will result in large tire deformations. Depending on manufacturer and the combination of vehicle size and wheel properties, these deformations can be so large that the tire belt and/or sidewall have contact with the rim crown (protected by the tire sidewall). The current tendency to low-aspect ratio tires reduces the available deformation capability of the tire while simultaneously introducing larger nonlinearities in the sidewall behavior. After a short overview of the standard modeling technique used by the CDTire model family to handle such events, a refinement of this technique is introduced, modeling both the non-linearity behavior of the sidewall and a possible subsequent rim contact.

Functional magnetic resonance imaging (fMRI) and functional near-infrared spectroscopy (fNIRS) were used to measure subjects’ cerebral blood flow in order to investigate higher-order human brain function activity associated with cognition and attention while operating a vehicle. As a first step, the effects of the fundamental driving environment on brain activity was investigated on the basis of fMRI measurements, with simultaneous measurement of the frontal region by fNIRS. The experiments involved the presentation of visual stimuli by video clips and the execution of simple individual tasks corresponding to steering wheel and pedal operations. As a second step, a driving simulator was used to reproduce narrow road driving and car-following driving situations requiring cognition and attention. Drivers’ mental activity under these conditions involving different levels of attention was measured by fNIRS.

Automotive fixed orifice tube (FOT) systems are especially prone to cycling losses due to their clutch cycling operation. Therefore, it is important to better understand the dynamics of the refrigerant and oil migration during transient events such as cycling and start-up. To measure the refrigerant mass and oil distribution of an automotive R134a FOT breadboard system, two ball valves around each component are added. By simultaneously closing the valves, the refrigerant and oil is trapped in different sections of the system and can be measured. The transient refrigerant migration during a stop-start transient as well as the refrigerant mass distribution as a function of system charge at steady state operation is presented. A transparent accumulator and transparent tubes at the inlet and outlet of the accumulator are used to visualize the flow of the refrigerant. High speed video snapshots are presented for the first seconds after the start-up.

Modeling and simulation are commonly used in all stages of the design process. This is particularly vital to the success of systems engineering projects where the system under consideration is complex and involves interactions between many interdisciplinary subsystems. In the refining stages of the design process (after concept selection), models and simulations can be used to refine and optimize a system with respect to the decision maker’s objectives. In this paper, a dynamic model of a hydraulic backhoe serves as a test-bed for a large-scale sensitivity analysis and subsequent optimization of the most significant design parameters. The model is optimized under uncertainty with respect to a multi-attribute utility function that includes fuel consumption, cost of the key components, and machine performance.

Compact PCB power relays were tested in repetitious on/off operations to define their reliability through a quantitative analysis of failure cycles and an investigation of relay property changes and contact erosion forms. Operation voltage was 14 V and relay temperature was 120 °C. Ten relays were used in each of two types of load test. First failure cycles were found to be high enough for practical use, 2.2 million in the lamp load (11 A) test and 7.5 million in the test using an integrated load (10 A) comprised of engine control components. Failure mode of all relays in the lamp load test revealed contact welding, while those in the integrated load test revealed significant contact resistance due to excess erosion. Wide differences between them in contact life cycle distribution and failure mode were found to be clearly distinguishable from load current characteristics.

A field experiment was performed to measure the effects of oncoming illuminance profiles with different photometric and temporal characteristics on visual recovery and subjective discomfort. Target detection time was correlated with the dosage, and rated discomfort was correlated with the peak illuminance of each profile. Older subjects generally had longer recovery times, but there were no differences between the age groups in terms of rated discomfort. The results suggest that discomfort glare is not predictive of visual disability and that control of luminous intensity at isolated points within the distribution of headlamps alone is not sufficient to minimize glare recovery.

It is well known that high ethanol content fuels have to face poor quality regarding startability in cold conditions on a spark ignited engine. This paper will show test results when using E0, E85 and E100 fuels led on a single cylinder engine equipped with an active valve train research system. In order to improve engine behavior in severe thermal conditions, influence of several parameters was investigated. Injection strategies (timing, split injection, flow rate), valve train laws (delayed intake opening, valve lift…), ignition parameters (timing, multi-spark, strong energy coil…) as well as intake pressure were analyzed thanks to cylinder pressure analysis and specific test procedure. CFD investigations (influence of fuel, wall wetting) helped us to confirm some hypothesis on physical phenomenon. Those simulations were correlated with spray and wall film visualizations in the inlet port on an optical engine.

The introduction of CO2-reduction technologies like Start-Stop or the Hybrid-Powertrain and the future emissions regulations require a detailed optimization of the engine start-up. The combustion concept development as well as the calibration of the ECU makes it necessary to carry out an explicit thermodynamic analysis of the combustion process during the start-up. As of today, the well-known thermodynamic analysis using in-cylinder pressure traces at stationary condition is transmitted to the highly dynamic engine start-up. Due to this approximation the current models for calculation of the transient wall heat fluxes by Woschni, Hohenberg and Bargende do not lead to desired results. But with a fraction of approximately 40 % of the burnt fuel energy, the wall heat is very important for the calculation of energy balance and for the combustion process analysis during start-up.

This paper presents three sub-models of production Engine Management Systems software for turbocharged engines; 1) new load variable for volumetric efficiency modelling, 2) new pumping torque model, where 1) and 2) both solve non-monotonic behavior of traditional techniques for active boost controlled engines, 3) Compressor Recirculation Control requiring only the compressor surge-line for calibration.

The focus of this paper is an air charge estimator for engine control system applications which do not feature a mass air flow (MAF) sensor. The proposed approach, beyond its independency of a MAF sensor, is designed to be compatible with the confines of a typical production control system configuration. The air charge estimation algorithm is based on mean-value models for the manifold pressure dynamics and the gas flows through the throttle and valve orifices. It involves nominal static models for the volumetric efficiency of the engine and for the throttle discharge coefficient. The static models for those parameters are complemented with correction factors that are adjusted on-line. The update of the volumetric efficiency correction is implemented in the form of a Kalman-filter which uses the difference between the measured and the modeled manifold pressure as an error metric.

This paper describes a diesel engine lean NOx trap (LNT) regeneration air to fuel ratio (AFR) control system using a nonlinear model predictive control (NMPC) technique for simultaneous regeneration fuel penalty and overall tailpipe-out NOx reductions. A physics-based and experimentally validated nonlinear LNT dynamic model was employed to construct the NMPC control algorithm, which dictates the AFR value during regenerations. Different choices of NMPC cost function were examined in terms of the impact on fuel penalty and total tailpipe NOx slip amount. The cost function to achieve the best tradeoff between fuel penalty and tailpipe-out NOx was selected based on physical insights into the LNT system NOx and oxygen storage dynamics. The NMPC regeneration AFR control system was evaluated on a vehicle simulator cX-Emissions1 with a 1.9L diesel engine model through the FTP75 driving cycle.

A planar temperature imaging diagnostic has been developed and applied to an investigation of naturally occurring thermal stratification in an HCCI engine. Natural thermal stratification is critical for high-load HCCI operation because it slows the combustion heat release; however, little is known about its development or distribution. A tracer-based single-line PLIF imaging technique was selected for its good precision and simplicity. Temperature-map images were derived from the PLIF images, based on the temperature sensitivity of the fluorescence signal of the toluene tracer added to the fuel. A well premixed intake charge assured that variations in fuel/air mixture did not affect the signal. Measurements were made in a single-cylinder optically accessible HCCI research engine (displacement = 0.98 liters) at a typical 1200 rpm operating condition. Since natural thermal stratification develops prior to autoignition, all measurements were made for motored operation.

In this study, high-temperature deactivation of a fully-formulated lean NOx trap (LNT) is investigated with an accelerated aging protocol where accelerated aging is accomplished by rapid temperature cycling and by higher temperatures. Thermal aging is carried out in a bench-flow reactor at nominal temperatures of 700, 800, 900, and 1000°C using an aging cycle consisting of a 130s lean-phase and a 50s rich-phase. After a prescribed number of lean/rich aging cycles, the NOx conversion of the aged LNT is evaluated at 200, 300, and 400°C. The NOx performance is obtained at a GHSV of 30,000 h−1 using an evaluation cycle consisting of a 60s lean-phase and 5s rich-phase. The effects of aging on the LNT washcoat are determined with EPMA, XRD, STEM/EDS, and BET. Aging at 700 and 800°C has a minimal effect on LNT performance and material properties.

The piezoelectric cylinder pressure transducer is ubiquitous for developing and optimizing the combustion process in modern internal combustion engines. Over the past three decades, significant advances in cylinder pressure transducer technology and enormous advances in digital computing sophistication have made the acquisition and analysis of engine cylinder pressure the cornerstone diagnostic tool for today’s engine combustion community. Such improvements in the ease of acquiring cylinder pressure based metrics have, in many instances, fostered the assertion that the transducer is faithfully indicating the actual in-cylinder pressure. Careful analysis, however, can uncover anomalies in the cylinder pressure data quality resulting from thermal shock [1]. Randolph [2] laid the foundation for General Motor’s pursuit of remotely mounted piezoelectric cylinder pressure transducers, with fresh approaches to connecting passage design and the thermal protection of the transducer diaphragm.

Pollutants are a major issue of diesel engines, with oxides of nitrogen (NOx) and airborne total particulate matter (TPM) of primary concern. Current emission standards rely on laboratory testing using an engine dynamometer with a standard test procedure. Results are reported as an integrated value for emissions from a transient set of engine speed and load conditions over a length of time or a set of prescribed speed-load points. To be considered a valid test by the US EPA, the measured engine speed and load are compared to the prescribed engine speed and load and must be within prescribed regression limits.

High technology, spark ignition direct injection (SIDI), engines are currently capable of achieving optimum horsepower and ULEV emissions levels. However, to meet the requirements of modern automotive powertrains, the task of increasing power density, improving fuel economy and reaching SULEV2 emissions is much more challenging. To achieve this, direct injection (DI) fuel systems offer the greatest precision and flexibility for engine fuel control. Features like high pressure start and improved catalyst heating, through multiple injections per combustion cycle, produce low engine-out emissions without the need for a secondary air injection system. This paper describes the analytical and experimental work done to achieve SULEV emissions levels for a twin-turbocharged derivative of General Motors (GM) high feature V6 engine.

Due to the advancements in passenger car Diesel engine design, the contribution of transient emission spikes has become an important fraction of the total emissions during the standardized test cycles, hence the interest of this work on dynamical engine operation, in particular on the improvement of NOX and PM emissions. This paper proposes to use a UEGO sensor (universal exhaust gas oxygen sensor) in the upstream of the turbine in combination with a Kalman filter to estimate the target quantities, namely in-cylinder oxygen concentration before and after combustion. This information is used to define the fuel injection as well as the values of the air path actuators. Test bench measurements with a production Diesel engine are presented, where the oxygen based approach is compared to the standard calibration during a fast load increase. It is shown that the torque response could be maintained while NOX as well as PM emission peaks were reduced significantly.

Subject of this work is a simulation model for PCCI combustion that can be used in closed-loop control development. A detailed multi-zone chemistry model for the high-pressure part of the engine cycle is extended by a mean value model accounting for the gas exchange losses. The resulting model is capable of describing PCCI combustion with stationary excactness. It is at the same time very economic with respect to computational costs. The model is further extended by identified system dynamics influencing the stationary inputs. For this, a Wiener model is set up that uses the stationary model as a nonlinear system representation. In this way, a dynamic nonlinear model for the representation of the controlled plant Diesel engine is created.

When developing and later using simulation models for combustion prediction in internal combustion engines, it is first of all necessary to determine the model constants. This paper describes the development of a method for the automated determination of model parameters which can be applied to any internal combustion simulation model. The work is not aimed at developing a new optimizing algorithm but at adjusting and adapting an existing optimizer to the special needs and convergence problems, which occur when applied to combustion models. Consequently, the paper describes the set-up of the objective function and several methods for improving the convergence. Finally, an outline for a strategy which uses the optimizing tool for model development is presented.

The ability to make fully resolved turbulent scalar field measurements has been demonstrated in an internal combustion engine using one-dimensional fluorobenzene fluorescence measurements. Data were acquired during the intake stroke in a motored engine that had been modified such that each intake valve was fed independently, and one of the two intake streams was seeded with the fluorescent tracer. The scalar energy spectra displayed a significant inertial subrange that had a −5/3 wavenumber power dependence. The scalar dissipation spectra were found to extend in the high-wavenumber regime, to where the magnitude was more than two decades below the peak value, which indicates that for all practical purposes the measurements faithfully represent all of the scalar dissipation in the flow.