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A simulation approach is defined that integrates a military mission assessment tool (One Semi-Automated Forces) with a commercial automotive control/energy consumption development tool (Autonomie). The objective is to enable vehicle energy utilization and fuel consumption impact assessments relative to US Army mission effectiveness and commercial drive cycles. The approach to this integration will be described, along with its potential to meet its objectives.

To reduce development time and introduce technologies faster to the market, many companies have been turning more and more to Model Based Design. In Model Based Design, the development process centers around a system model, from requirements capture and design to implementation and test. Engineers can skip over a generation of system design processes on the basis of hand coding and use graphical models to design, analyze, and implement the software that determines machine performance and behavior. This paper describes the process implemented in Autonomie, a Plug-and-Play Software Environment, to design and evaluate component hardware in an emulated environment. We will discuss best practices and provide an example through evaluation of advanced high-energy battery pack within an emulated Plug-in Hybrid Electric Vehicle.

Signal delivery is the means of translating a physical parameter from a sensor measurement to the application software in the electronic controller. Signal delivery is also translating a digital word from the application software to an actuator response. In both cases, there are many transform functions along the path that will introduce noise, error, and non-linearity. This paper will discuss the importance of understanding the error and sensitivity to variation that signal delivery analysis provides. The analysis will direct design change to improve control system robustness as well as decisions for failure events.

A 17 degree-of-freedom model of an automobile with an ABS controller has been implemented on a XANALOG real-time modeling and simulation system utilizing visual block diagram programming. The model is derived from one which was developed for the National Highway Traffic Safety Administration by the University of Michigan Transportation Research Institute. The major thrust of this paper is to illustrate the effectiveness of a modern graphical modeling methodology in the development of automotive simulation models, and to highlight the advantages of a RISC-based real-time simulation system having inherent hardware-in-the-loop features. These advantages include: ease of use, powerful real-time model interaction, seamless integration of hardware controllers, high performance, portability, and multi-window graphics display.