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In the early phase of new vehicle system developments, it is crucial to fully define and optimize working system and functional architectures. Architecture definition and validation in turn requires a quick and accurate evaluation of a system‟s overall performance. Modeling and simulating a complete vehicle system, however, is complex and in many cases was either technically not achievable or simply has been omitted within the development process. It is the utmost challenge in system modeling and simulation to realistically reflect interaction of various electrical, mechanical, thermal, and software elements as attributed to individual system modules and their relations. State-of-the-art tools meanwhile bear this capability. In this paper we present an approach how they may effectively and efficiently be incorporated into a car system development process. To accomplish this target, we „virtualize‟ all system entities while defining and reflecting all relevant system aspects. Our proposed development flow allows simulating, evaluating, and validating complete vehicle systems and their behavior. The proposed flow will sustainably change car system development processes.
A Novel Approach on Virtual Systems Prototyping Based on a Validated, Hierarchical, Modular Library
(2013)
Development of highly innovative systems requires adaptation of standard processes in order to reflect its specific characteristics. Unknown “best solutions” with respect to system requirements or their efficacy at development start is one of those most common characteristics in innovation projects. In
those cases adequate tailoring or revision of system development processes may increase quality of the technical solution while at the same time reducing the involved project risks and costs. This paper describes a novel methodology to establish Virtual Prototyping for multi-domain system development by Design Space Exploration (DSE) based on Virtual Systems Prototyping (VSP). VSP comprises four elementary steps to systematically build up the space of potential solutions. It offers a structural and dynamic insight view to validate performance indicators against a set of requirements. Our approach allows choosing the “best solution” within the design phase while simultaneously providing a high
confidence level of its efficacy prior to implementation. VSP, therefore, is a powerful instrument for increasing the quality confidence level of innovative systems while reducing risk and cost of their implementation. VSP complements the method of prototyping on system design level inherently by a tool chain based on a multi-domain validated, hierarchical and modular library. The set of tool supported process steps makes DSE based on VSP a valuable methodology for effectively and efficiently developing innovative systems. The authors demonstrate their new approach on the basis of an automotive example in the context of novel fully-electric powertrain car architectures.