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Model-guided development of drivetrain control and calibration is a key enabler of robust and efficient vehicle design process. A number of CAE tools are available today for modeling hydro-mechanical systems. Automatic transmission behaviors are well understood to effectively tune the model parameters for targeted applications. Drivetrain models provide physical insight for understanding the effects of component interactions on system behaviors. They are also widely used in HIL/SIL environments to debug control strategies. Nonetheless, it is still a challenge to predict shift quality, especially during a sequence of multiple events, with enough accuracy to support model-guided control design and calibration. The inclusion of hydraulic circuits in simulation models often results in challenges for numerical simulation.

Model-Based Design with automatic code generation has long been employed for rapid prototyping and is increasing being used for mass production deployment. With the focus on production usage, comes the need to implement a comprehensive V&V strategy involving models and resulting code. A main principal of Model-Based Design is that generated code should behave like the simulation model. It should also be possible to verify that the model or design was fully implemented in the code. As a result, the transformation of models into generated code must be done in a way that facilitates traceability between the model and code. Also automated tests should be performed to determine that the code executes properly in its final software and hardware environments. For example in a typical commercial vehicle application, the control algorithm and plant model are simulated together in a system simulation environment.

Model-Based Design has become a standard in the automotive industry. In addition to the well-documented advantages that come from modeling control algorithms, [1,2,3,4] modeling plants can lead to more robust designs. Plant modeling enables engineers to test a controller with multiple plant parameters, and to simulate nominal or ideal values. Modeling variable physical parameters provides a better representation of what can be expected in production. Monte Carlo analysis is a standard method of simulating variability that occurs in real physical parameters. Automotive companies use Monte Carlo testing to ensure high quality, robust designs. Due to time and resource constraints, engineers often examine only a limited number of key parameters rather than an entire set. This leaves the design vulnerable to problems caused by missing the full potential impact of parameters that were unvaried during testing.

Model-Based Design is no longer limited to R&D and pilot programs; it is frequently used for production programs at automotive companies around the world. The demands of production programs drive an even greater need for tools and practices that enable automation and rigor in the area of verification, validation, and test. Without these tools and practices, achieving the quality demanded by the automotive market is not possible. This paper presents best practices in verification, validation, and test that are applicable to any program, but are critical when applying Model-Based Design in production programs.

When developing production software for fixed-point Engine Control Units (ECUs), it is important to consider the transition from floating-point to fixed-point algorithms. Systems engineers frequently design algorithms in floating-point math, usually double precision. This represents the ideal algorithm behavior without much concern for its final realization in production software and hardware. Software engineers and suppliers in mass production environments, however, are concerned with production realities and often need to convert these algorithms to fixed-point math for their integer-only hardware. A key task is to design scale factors that maximize code efficiency by minimizing the bytes used, while also minimizing quantization effects such that the fixed-point algorithms match the floating-point results within an acceptable numerical margin.

This paper documents an inverse visible element Rayleigh integral (VERI) approach. The VERI is a fast though approximate method for predicting sound radiation that can be used in the place of the boundary element method. This paper extends the method by applying it to the inverse problem where the VERI is used to generate the acoustic transfer matrix relating the velocity on the surface to measurement points. Given measured pressures, the inverse VERI can be used to reconstruct the vibration of a radiating surface. Results from an engine cover and diesel engine indicate that the method can be used to reliably quantify the sound power and also approximate directivity.

When developing software it is important to consider process, methods, and tools. For safety-critical software, standards such as IEC 61508 are often used to impose additional constraints on the development process and require the production of verification evidence and other artifacts. These constraints and artifacts are needed whether or not the design and code were produced manually or via tool automation. This paper discusses the usage of Production Code Generation for safety-critical software development.

The need to meet new regulatory requirements as well as customer expectations in terms of machine productivity, safety, maintenance and uptime, is driving a significant transformation from conventional hydraulic and mechanical systems to electro-hydraulic systems in the earth-moving and agricultural equipment industry. The ability to model and simulate such systems plays a key role in this transformation by allowing manufacturers to test whether the system meets requirements using virtual prototypes rather than physical prototypes. Modeling the electrical, electronic, mechanical, and hydraulic domains in the same modeling environment can significantly improve the product development process of such machines. This paper illustrates those benefits using the example of an electro-hydraulic implement system.

The chemical storage battery is currently the primary choice of automotive powertrain designers for hybrid-electric vehicles. This design suffers from complexity, manufacturing, cost, durability, poor performance predictability and other problems. Additionally, the trend in hybrid powertrain design is to move from high energy density to high power density. A proposed alternative to chemical batteries for some hybrid vehicle applications is an electro-mechanical battery (EMB) that combines an electric machine with hydro-pneumatics to provide energy capture, storage, and propulsion assistance. An initial multi-domain physical system model of an EMB-based hybrid powertrain has been developed in the Simulink environment to show the behavior of the EMB design in a midsize hybrid passenger vehicle application.

Automatic code generation from models is actively used at Caterpillar for powertrain and machine control development. This technology was needed to satisfy the industry's demands for both increased software feature content, and its added complexity, and a short turn-around time. A pilot development effort was employed initially to roll out this new technology and shape the deployment strategy. As a result of a series of successful projects involving rapid prototyping and production code generation, Caterpillar will deploy MathWorks modeling and code generation products as their department-wide production development capability. The data collected indicated a reduction of person hours by a factor of 2 to 4 depending on the project and a reduction of calendar time by a factor of greater than 2. This paper discusses the challenges, results, and lessons learned, during this pilot effort from the perspectives of both Caterpillar and The MathWorks.

Software developed for safety-critical systems needs to be of high integrity. Special precautions and development steps are needed for high-integrity software that are not required for other software, although many would argue that they should be. Examples include language subsets, Verification and Validation (V&V), inspections, requirements traceability, documentation, and structural test coverage. Production code generation supports these activities by providing a complete software engineering development environment using models to specify the software. The models can then be tested and stressed within boundaries of the modeling environment. The tests and results can then be reused and applied to the generated code. This paper describes high-integrity code development techniques and shows how they can be automated and applied at the model level, improving quality while shortening design cycles.

A parametric simulation model of a steel-tracked feller buncher was developed1. This model can be used to predict the lift capacity, side tipping angles, grade-ability, and joint forces during a cutting cycle. The feller buncher is defined parametrically, allowing the user to quickly analyze different machine configurations simply by changing the value of a variable. Several simulations were performed to illustrate the application of the model.

Medium-carbon, microalloyed forging steels represent a cost effective replacement of quenched and tempered grades. Their strength properties are derived from precipitation during cooling from the forging temperature. Because of the relatively high carbon content, vanadium is the most suitable addition to achieve precipitation strengthening. The effectiveness of vanadium is enhanced by the presence of nitrogen. For components subjected to impact loading, improvement in toughness is achieved by refining austenitic grains, pinning their boundaries by means of dispersed titanium nitrides. Precipitation strengthened ferrite-pearlite steels exhibit superior machinability compared to that of quenched and tempered alloy steels. As a result, the total machining costs are substantially reduced compared to the costs of machining heat-treated steels. The frequency of tool breakage and tool changes decrease dramatically, virtually eliminating line scrap and unnecessary downtime.

Very large scale, 3D, viscous, turbulent flow simulations, involving 840,000 finite volume cells and the complete form of the time-averaged Navier-Stokes equations, were conducted to study the mechanisms responsible for total pressure losses in the entire intake system (inlet duct, plenum, ports, valves, and cylinder) of a straight-six diesel engine. A unique feature of this paper is the inclusion of physical mechanisms responsible for cylinder-to-cylinder variation of flows between different cylinders, namely, the end-cylinder (#1) and the middle cylinder (#3) that is in-line with the inlet duct. Present results are compared with cylinder #2 simulations documented in a recent paper by the Clemson group, Taylor, et al. (1997). A validated comprehensive computational methodology was used to generate grid independent and fully convergent results.

Caterpillar's inboard brake and final drive axle responds to customers needs for a lifetime service brake removed from the often hostile environment encountered by exposed shoe-drum or caliper-disc brakes. A multi-disciplined team was assembled to select the single most appropriate axle configuration. That team was composed of members of the three worldwide facilities which would manufacture the axles. After selection of the configuration, the team approach was continued from development thru production. Concurrent product and process design was felt to be the most efficient way to provide the customer with an enclosed brake and to modernize our plants manufacturing operations. This paper will identify the methods used to develop a cost effective manufacturable axle. Working the product design and manufacturing process together provided for a more manufacturable axle, in a shorter time frame, with less start-up problems compared to the traditional approach.

IMPLEMENTATION OF A SECOND GENERATION SOUND POWER TEST FOR PRODUCTION TESTING OF EARTHMOVING EQUIPMENT Caterpillar has developed an automated sound power measurement system that measures construction equipment sound levels before they leave the assembly plant. This paper describes the test system and gives the results of verification tests conducted at various manufacturing plants around the world. It was concluded that the new system allows Caterpillar to quickly and accurately acquire the data necessary to assure that their product meets its noise requirements.

The Challenger 65 agricultural tractor combines the best features of current four wheel drive machines; speed, on-road mobility, and operator comfort with the well recognized advantages of track-type machines; tractive efficiency and reduced soil compaction.

Caterpillar has introduced a new concept that shatters previous ripping limitations. The D9L Impact Ripper has extended the ripping capacity and productivity of the standard ripper tractor in heavy construcion, mining, and quarry applications. This paper describes the design objectives, development program, component selection, and the demonstrated productivity of the D9L Impact Ripper.