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In this paper, a model-based linear estimator and a non-linear control law for an Fe-zeolite urea-selective catalytic reduction (SCR) catalyst for heavy duty diesel engine applications is presented. The novel aspect of this work is that the relevant species, NO, NO2 and NH3 are estimated and controlled independently. The ability to target NH3 slip is important not only to minimize urea consumption, but also to reduce this unregulated emission. Being able to discriminate between NO and NO2 is important for two reasons. First, recent Fe-zeolite catalyst studies suggest that NOx reduction is highly favored by the NO 2 based reactions. Second, NO2 is more toxic than NO to both the environment and human health. The estimator and control law are based on a 4-state model of the urea-SCR plant. A linearized version of the model is used for state estimation while the full nonlinear model is used for control design.

Model-based control strategies are important for meeting the dual objective of maximizing NOx reduction and minimizing NH3 slip in urea-SCR catalysts. To be implementable on the vehicle, the models should capture the essential behavior of the system, while not being computationally intensive. This paper discusses the adequacy of two different reduced order SCR catalyst models and compares their performance with a higher order model. The higher order model assumes that the catalyst has both diffusion and reaction kinetics, whereas the reduced order models contain only reaction kinetics. After describing each model, its parameter identification and model validation based on experiments on a Navistar I6 7.6L engine are presented. The adequacy of reduced order models is demonstrated by comparing the NO, NO2 and NH3 concentrations predicted by the models to their concentrations from the test data.

Commercial vehicles carry more than 10 billion tons of goods - approximately 70 percent of all freight shipped and travel over 450 billion miles each year in the United States. These vehicles are the exclusive mode of delivery in over 75 percent of U.S. communities. Such utilization and dependency demand commercial vehicles be reliable, durable, and cost effective. The heart of these commercial vehicles (Classes 3-8) is the diesel engine. The widespread use of the diesel engine can be attributed to its reliability, durability, and cost effectiveness. However, the 2007 and 2010 EPA emissions regulations are creating significant challenges for diesel-powered commercial vehicles. Engine and vehicle manufacturers must strike a balance between emissions, performance, and affordability. A consequence of the evolution of the diesel engine to meet the increasingly stringent emissions regulations is that more effort to accommodate the associated changes is driven to the vehicle manufacturers.

This paper describes how mind mapping software can help to visualize: System performance requirements Product attributes that satisfy performance requirements Mapping between performance requirements and product attributes An example is given using a partial model for vehicle performance developed by the International Truck and Engine Corporation. The mind map software used in this study is Mind Manager Pro version 6 by Mindjet. Anecdotal evidence is offered for the benefits and challenges of implementing a visual Mind Map scheme; however, the judgment of overall effectiveness is left to the reader.

The calculation of the Nitrogen Oxide (NO) formation emitted from diesel engines usually involve direct integration of a set of nitrogen chemistry elementary reactions that involve formation and destruction of NO. The primary hydrocarbon chemistry is usually simplified as long as the main species and heat release are predicted correctly. The result of the integration is the net NO formation rate evaluated using the local concentrations and thermodynamic parameters. In the present work a method for calculating NO emissions from diesel engines is proposed that takes into consideration the effect of residence time as a measure of turbulence effects on chemistry. This is based on the assumption that for mixing-limited conditions the turbulent eddy turn-over time can be taken as a characteristic reaction residence time. The proposed procedure depends on a detailed investigation of the primary hydrocarbon combustion chemistry decoupled from the flow-field prediction.

Six 2001 International Class 6 trucks participated in a project to determine the impact of gas-to-liquid (GTL) fuel and catalyzed diesel particle filters (DPFs) on emissions and operations from December 2003 through August 2004. The vehicles operated in Southern California and were nominally identical. Three vehicles operated “as-is” on California Air Resources Board (CARB) specification diesel fuel and no emission control devices. Three vehicles were retrofit with Johnson Matthey CCRT® (Catalyzed Continuously Regenerating Technology) filters and fueled with Shell GTL Fuel. Two rounds of emissions tests were conducted on a chassis dynamometer over the City Suburban Heavy Vehicle Route (CSHVR) and the New York City Bus (NYCB) cycle. The CARB-fueled vehicles served as the baseline, while the GTL-fueled vehicles were tested with and without the CCRT filters. Results from the first round of testing have been reported previously (see 2004-01-2959).

A fleet of six 2001 International Class 6 trucks operating in southern California was selected for an operability and emissions study using gas-to-liquid (GTL) fuel and catalyzed diesel particle filters (CDPF). Three vehicles were fueled with CARB specification diesel fuel and no emission control devices (current technology), and three vehicles were fueled with GTL fuel and retrofit with Johnson Matthey's CCRT™ diesel particulate filter. No engine modifications were made. Bench scale fuel-engine compatibility testing showed the GTL fuel had cold flow properties suitable for year-round use in southern California and was additized to meet current lubricity standards. Bench scale elastomer compatibility testing returned results similar to those of CARB specification diesel fuel. The GTL fuel met or exceeded ASTM D975 fuel properties. Researchers used a chassis dynamometer to test emissions over the City Suburban Heavy Vehicle Route (CSHVR) and New York City Bus (NYCB) cycles.

In the present work computational fluid dynamics (CFD) simulations of the flow field around a generic tractor-trailer truck are presented and compared with corresponding experimental measurements. A generic truck model was considered which is a detailed 1/8th scale replica of a Class-8 tractor-trailer truck. It contained a number of details such as bumpers, underbody, tractor chassis, wheels, and axles. CFD simulations were conducted with wind incident on the vehicle at 0 and 6 degree yaw. Two different meshing strategies (tet-dominant and hex-dominant) and three different turbulence models (Realizable k-ε, RNG k-ε, and DES) are considered. In the first meshing strategy an unstructured tetrahedral mesh was created over a large region surrounding the vehicle and in its wake. In the second strategy the mesh was predominantly hexahedral except for a few narrow regions around the front end and the underbody which were meshed with tetrahedral cells owing to complex topology.

International has developed a new generation 6.0L V8 DI diesel engine for the Ford F-Series full size pick-up trucks. This new engine features a number of state-of-the-art technologies designed to meet the US 2004 heavy-duty engine emission legislation and other requirements from the customers. A set of combustion development strategies was created. They were, the use of cooled Exhaust Gas Recirculation (EGR) to inhibit NOx formation, a centrally located nozzle and an optimized combustion bowl to improve fuel distribution and reduce soot formation, the use of increased injection pressure to enhance air/fuel mixing and increase soot oxidation rate, and a Variable Geometry Turbocharger (VGT) to provide sufficient air/fuel ratio over a broad speed range. The combustion development took full advantage of the “virtual lab” tools.

The successful development of new products is contingent on clearly understanding product requirements and defining appropriate design activities to deliver the right product. Even if one can clearly understand the abstract requirements implied by the voice-of-customer (VOC), engineers still work best to a set of specifications that define the product in objective measures. The task of extracting the systems specifications from text versions of product requirements is not trivial. Full order dynamic models of mass, springs and dampers provide understanding of vehicle performance; however, the engineer has to define the dynamic characteristics based on his understanding of requirements and translate them into technical specifications. The result can be too dependent on human assumptions and judgments at this point. This work was done to understand how to apply Object Oriented Design (OOD) methodology to trace requirements of a mechanical system to design parameters.

In the United States, most school buses are powered by diesel engines. Some have advocated replacing diesel school buses with natural gas school buses, but little research has been conducted to understand the emissions from school bus engines. This work provides a detailed characterization of exhaust emissions from school buses using a diesel engine meeting 1998 emission standards, a low emitting diesel engine with an advanced engine calibration and a catalyzed particulate filter, and a natural gas engine without catalyst. All three bus configurations were tested over the same cycle, test weight, and road load settings. Twenty-one of the 41 “toxic air contaminants” (TACs) listed by the California Air Resources Board (CARB) as being present in diesel exhaust were not found in the exhaust of any of the three bus configurations, even though special sampling provisions were utilized to detect low levels of TACs.

This paper discusses the guiding philosophy, industry standards, and process and organizational elements utilized by International to shift to a systems engineering approach, within a ‘pull-through’ supply structure. The importance of requirements management in systems engineering, and associated methods are also discussed. The paper also highlights tools and techniques that support systems engineering. Additionally, the benefits of systems engineering are contrasted with the consequences of component-centric product engineering.

This paper discusses a practical use of the Systems Engineering Process as it is implemented in a Truck OEM. The process presented is focused on the Electrical and Electronics area, but can be applied to other systems on the vehicle and to the vehicle level requirements. Systems Engineering rationale is summarized based upon historical impacts and the application of Systems Engineering to address those impacts. Prior System Development Processes are reviewed in light of modern Systems Engineering approaches, leading to the synthesis of the Systems Engineering Documentation Set for the Vehicle and the Vehicle's Electrical and Electronic Systems. The analysis for this approach looks at the application of Systems Engineering Principles throughout the lifecycle of the vehicle, going beyond the boundaries of traditional requirements gathering and analysis.