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This paper presents a concept and an implementation example of a rapid prototyping platform, which permits to run simulation models on real-time hardware. The key components of the presented platform are a very powerful floating-point digital signal processor and a field programmable gate array. Furthermore the system includes analog inputs and outputs and a high-speed IEEE1394 communications interface. Using the proposed setup the developer has a proprietary real-time operating system, various hardware drivers and motor drive peripherals at one's disposal. A hardware-in-the-loop (HIL) test plant for integrated electrical drives is shown as an implementation example for automotive applications. Such applications may be electrical drives for hybrid electric vehicles or electrified auxiliary power units.

Embedded systems of today need to manage more data than ever before. The main reasons for the increase in number of data items are increased functional requirements on the software. With a larger amount of data to manage comes the problems of storing data and its meta-information, sharing between programmers which data items exist, and ensuring freshness and consistency requirements of the data items. In this work we focus on efficient data management in embedded systems, and develop a database for such systems. The database has support for transactions, snapshots, and data freshness. We argue that the software maintenance efforts can be reduced using a database, and our performance results show that the performance can be increased without affecting consistency of data values.

In the past twenty years, the explicit finite element method has been successfully employed for crash simulation. At present, crashworthiness analysis is still basically a calibration based engineering practice, but not a fully predictive process. The increasing expectations and requirements on CAE are even more challenging. To develop a predictive and reliable CAE tool, it is important to investigate the root causes that affect the numerical accuracy and the availability of the analytical method. Some of the challenging issues are discussed here from both theoretical and engineering aspects, such as convergence of explicit finite element method, locking-free shell element, analysis of material rupture, and modeling of spot weld.

A key factor influencing the performance of a hybrid electric vehicle (HEV) is how the engine and motor-generator (MG) are combined with the vehicle. There have been several types of combinations such as power transfer by using the mechanical transmission of conventional vehicles or the electrical transmission originally designed for HEVs. The objectives of this research were to clarify fuel economy characteristics according to the type of power transfer system used and to identify the requirements for MG system development by analyzing MG operation conditions in each power transfer mode. HEV systems for passenger car use were modeled on the basis of a functional classification. Simulations were conducted using the characteristics of the power transfer systems as parameters to evaluate fuel economy tendencies under several driving modes. The mechanism of the fuel economy tendencies was then analyzed to evaluate quantitatively the effect of each power transfer system on fuel economy.

Vehicle structure crashworthiness design is one of the most challenging problems in product development and it has been studied for decades. Challenges still remain, which include developing a reliable and systematic approach for general crashworthiness design problems, which can be used to design an optimum vehicle structure in terms of topology, shape, and size, and for both structural layout and material layout. In this paper, an advanced and systematic approach is presented, which is called Magic Cube (MQ) approach for crashworthiness design. The proposed MQ approach consists of three major dimensions: Decomposition, Design Methodology, and General Considerations. The Decomposition dimension is related to the major approaches developed for the crashworthiness design problem, which has three layers: Time (Process) Decomposition, Space Decomposition, and Scale Decomposition.

In automobile frontal impact, for given restraint characteristics and prescribed impact speed and crash deformation, what is the optimal vehicle crash pulse that produces the lowest peak occupant deceleration? In this paper, based on a lumped-parameter model of the occupant-vehicle system, the optimal kinematics of the occupant in frontal impact is studied first, and the optimal vehicle crash pulse is then investigated according to the optimal occupant kinematics. For linear restraint characteristics, the theoretical optimal crash pulse is found, and the relation of the peak occupant deceleration to the impact speed, crash deformation, and vehicle interior rattlespace is established. The optimal crash pulses for passive, active, and pre-acting restraint systems are discussed. Numerical optimization is formulated to find the optimal crash pulse for general restraint systems.

In 2002, the U.S. Department of Energy (DOE) launched FreedomCAR, which is a partnership with automakers to advance high-technology research needed to produce practical, affordable advanced vehicles that have the potential to significantly improve fuel economy in the near-term. Advanced materials (including metals, polymers, composites, and intermetallic compounds) can play an important role in improving the efficiency of transportation vehicles. Weight reduction is one of the most practical ways of increasing vehicle fuel economy while reducing exhaust emissions. In this paper, we evaluate the impact of vehicle mass reduction for several vehicle platforms and advanced powertrain technologies, including Internal Combustion Engine (ICE) Hybrid Electric Vehicles (HEVs) and fuel cell HEVs, in comparison with conventional vehicles. We also explain the main factors influencing the fuel economy sensitivity.

Argonne National Laboratory (ANL), working with the FreedomCAR Partnership, maintains the hybrid vehicle simulation software, Powertrain System Analysis Toolkit (PSAT). The importance of component models and the complexity involved in setting up optimized control laws require validation of the models and control strategies. Using its Advanced Powertrain Research Facilities (APRF), ANL thoroughly tested the 2004 Toyota Prius to validate the PSAT drivetrain. In this paper, we will first describe the methodology used to quality check test data. Then, we will explain the validation process leading to the simulated vehicle control strategy tuning, which is based on the analysis of the differences between test and simulation. Finally, we will demonstrate the validation of PSAT Prius component models and control strategy, using APRF vehicle test data.

Hybrid-electric powertrains for passenger vehicles and light trucks are generally being designed with two different configurations described as follows: The Toyota Hybrid System, THS-II, implemented in the 2004 Prius, the Lexus 400-H, and the Ford Hybrid Escape, is a power-split approach involving two electric machines and an internal combustion engine (ICE) mechanically coupled by a three-shaft planetary gear train. The second leading approach is a parallel hybrid-electric powertrain that generally includes a single electric machine and an ICE with a mating multi-ratio transmission. These parallel configurations are further divided as weak parallel and strong parallel. Honda uses a weak parallel powertrain in their Insight and Hybrid Civic. At Georgia Tech a strong (full), split-parallel hybrid powertrain has been implemented in a Ford Explorer. The vehicle is referred to as the Model GT.

Variable cam timing engines pose new questions for engine control system designers. The cam timing directly influences cylinder air charge and residual mass fraction. Three models that predict residual mass fraction are investigated for a turbocharged dual independent Variable Cam Timing (VCT) engine. The three models (Fox et. al. 1993, Ponti et. al. 2002, and Mladek et. al. 2000) that all have real time capabilities are evaluated and validated against data from a crank angle based reference model. None of these models have previously been validated to cover this engine type. It is shown that all three models can be extended to dual independent VCT engines and that they also give a good description of the residual gas fraction. However, it is shown that the two most advanced models, based on a thermodynamic energy balance, are very sensitive to the model inputs and proper care must therefore be taken when these models are used.

Restraint systems play an important role in managing the energy of occupants during a crash event. Belt and airbag systems complement each other in order to gradually decelerate the occupant. However, the seating position of the 5th percentile female and 50th percentile male occupants forces the need to manage this energy in different ways. MADYMO simulation of a generic vehicle-restraint system with a driver side 5th and a 50th percentile Hybrid III dummy were done for a typical frontal impact. The belt system had a retractor/load limiter, but no pretensioner. The effect of airbag fabric porosity, inflation rate and seat belt load limiting ability were evaluated for both occupants. Parameters examined that affect system rebalancing to achieve the highest star rating were HIC and 3ms Chest acceleration.

This paper describes solutions to handle the complexity of systems including Selective Catalytic Reduction (SCR) and Diesel Particulate Filters (DPF) and possible combinations with additional components. Results of integrated systems with different configurations are also discussed. A lot of development work was undertaken to develop validated and reliable mathematical models of single components as well as for the complete system. Commencing with DPF soot loading and regeneration models, additional tools are presented to define the best size and loading of oxidation catalysts for enhancing the system performance by generating NO2, as well as models to optimize the size and the dosing logic for the urea SCR.

This work considers the performance of a NOx control system on a diesel engine and the interaction between the NOx and particulate control devices. A commercial urea-selective catalytic reduction (SCR) catalyst (twin catalytic reactors used in series) was characterized for the impact of nitrogen dioxide (NO2) on the ammonia consumption, production of nitrous oxide (N2O) and relative selectivity of the urea-SCR catalyst for NO2 versus NO when the SCR reactors were positioned downstream of a catalyzed diesel particulate filter (DPF). The aqueous urea solution was injected into the exhaust by using a twin fluid, air-assisted atomizer. It was possible to observe the role of NO2 due to the catalyzed diesel particulate filter (DPF) upstream of the SCR catalyst. This catalyzed DPF oxidizes nitric oxide (NO) in the engine-out emissions to NO2. Further, it uses NO2 to oxidize particulate matter (PM).

Achieving optimal performance in a mobile SCR+CRT™ (Selective Catalytic Reduction + Continuously Regenerating Trap) system is a complex task relative to other passive emissions control systems, due to the operating constraints of urea-SCR technology, the size of the system components and the tight packaging envelope on the vehicle. These constraints have necessitated the design of highly efficient, compact reductant-exhaust gas mixing arrangements in order to achieve uniform reductant and velocity distributions at the entry to the SCR catalyst. The paper describes a statistical Design of Experiments (DoE) approach to optimise the mixing arrangement for emissions and noise attenuation performance of an SCR+CRT™ system. The results from this approach show that the method is an effective tool for understanding complex systems and reducing development effort.

This paper focuses on supercharged HCCI engines employing internal EGR that is obtained by the use of negative valve overlap. In HCCI engines, the absence of throttling coupled with the use of high compression ratio to facilitate auto-ignition and with the use of lean mixtures result in improved fuel efficiency. High dilution is required to control the auto-ignition and it also results in reduction of the production of NOx. To compensate for the charge dilution effect, the method used to recover the loss of power is to introduce more air in to the engine which allows introducing also more fuel while maintaining high lambda. A supercharger is required to introduce the required amount of air into the engine. The modelling investigation performed with Ricardo WAVE® coupled with CHEMKIN® and experimental investigation for supercharged HCCI show significant improvement in terms of extension of load range and reduction of NOx over the naturally aspirated HCCI and also over SI operation.

In this paper, HCCI combustion characteristics of three typical high octane number fuels, gasoline, ethanol and methanol, are compared in a Ricardo single cylinder port injection engine with compression ratio of 10.5. In order to trap enough high temperature residual gas to heat intake mixture charge for stable HCCI combustion, camshafts of the experimental engine are replaced by a set of special camshafts with low valve lift and short cam duration. The three fuels are injected into the intake port respectively in different mixture volume percentages, which are E0 (100% gasoline), E50 (50% gasoline, 50% ethanol), E100 (100% ethanol), M50 (50% gasoline, 50% methanol) and M100 (100% methanol). This work concentrates on the combustion and emission characteristics and the available HCCI operation range of these fuels. What's more, the detailed comparison of in-cylinder temperature, ignition timing and other parameters has been carried out.

It is well-known that gasoline is a poor fuel for HCCI operation due to its high autoignation temperature, while the major problem for diesel HCCI is that the ignition temperature of diesel fuel is too low so that diesel autoignites too early. Interestingly a blend of gasoline and diesel fuel could have desirable characteristics for HCCI operation. The negative valve overlap (NVO) is a practical and feasible control mode for production applications of the HCCI concept. At present, the most serious problem is the difficulty to control the moment of auto-ignition and extend the limited operating window of smooth HCCI operation. In this paper, the promotive effects of diesel fuel on gasoline HCCI combustion were experimentally examined. The diesel fuel as additive was added in advance in different proportion (10% and 20% by mass) into gasoline for the purpose of improving its ignitability. The experiments conducted on a gasoline HCCI engine which was naturally aspirated and unthrottled.

The present paper is a contribution in which is used a numerical simulation approach, the Virtual Engine Model, to study the combination of the Compression Ignition process with a Gasoline Direct Injection mixture preparation in a limited number of load-points. The first part of the paper describes the reasons for which current Gasoline Direct Injection engine technology must be combined with other technologies related to the in-cylinder mixture preparation control to further increase their potential for decreased fuel consumption. The paper continues with a description of the physics of spark and compression ignited processes as well as of the involved mixture preparation hardware components. The setup and the practical use of the Virtual Engine Model are discussed for both spark and compression ignited approaches.

In this paper a zero-dimensional simulation methodology for efficient pre-optimization of the combustion process in DI diesel engines is presented. A new model for the calculation of the rate of heat release is unveiled. It is based on the separate description of both the primary processes closely related to the fuel jet as well as the following combustion of the fuel mass remaining after the end of injection. The modeling of fuel mass distribution between premixed and diffusion combustion as well as a model for the fuel preparation time are explained. Furthermore, models for the calculation of ignition delay and premixed combustion based on an extended Arrhenius formulation are discussed, as well as turbulent combustion on the basis of a Magnussen model. The new features of the heat release model prove to be necessary to describe the effects of modern high-pressure fuel injection systems on the combustion process regarding the strong influence of the injection rate on the burn rate.

The development of powertrains with DI diesel Engines as primary drive demands accurate analytic specification of the cylinder process, with sufficient consideration taken of gas-exchange, turbo charging, and - especially - combustion. Until now, engine-process simulation has proved to be a powerful tool for satisfaction of these requirements. In addition to simple modeling of the heat-release rate with Vibe functions, complex heat-release models based on injection-rate profiles have been developed and implemented in existing simulation tools such as GT Power. To calibrate the parameters to achieve satisfactory agreement between experimental data and three-dimensional Computational Reactive Fluid Dynamics Models (CRFD) simulations, an appreciable amount of expertise and time is required. This paper deals with a universal method that automatically identifies and calibrates the relevant model parameters to the experimental data.