A Framework for Automated Model Interface Coordination Using SysML

[+] Author and Article Information
William Bailey

ASME Member, Ford Motor Company, 2101 Village Rd, RIC Mail Drop #1170, Dearborn, MI 48124

Judy Che

Ford Motor Company, 2101 Village Rd, RIC Mail Drop #1170, Dearborn, MI 48124

Poyu Tsou

Ford Motor Company, 2101 Village Rd, RIC Mail Drop #1170, Dearborn, MI 48124

Mark Jennings

Ford Motor Company, 2101 Village Rd, RIC Mail Drop #1170, Dearborn, MI 48124

1Corresponding author.

ASME doi:10.1115/1.4039474 History: Received October 14, 2017; Revised February 26, 2018


Integrated vehicle simulation models are being increasingly used to improve engineering efficiency and reduce the number of real-world prototypes needed to understand vehicle attributes and subsystem interactions. Each domain within the vehicle must be represented by its own model developed with the appropriate physics, behavior, fidelity, and interfaces needed to interact with other domains in the vehicle. Planning and managing the development of these models across a large, multidisciplinary group of engineers can be a significant effort. In particular, carefully managing each model's interfaces is crucial to enabling the entire process; missing or inappropriately used signals can cause significant issues when many separate domain models are integrated together. To help system engineers better manage these interfaces across a broad variety of applications, a SysML-based modeling approach is proposed to describe these models and their interfaces formally and completely. However, even with a consistent modeling approach, creating and managing interfaces across a large number of domains and applications can be a significant, error-prone task. To reduce the amount of manual modeling work required and help scale the process for complex models, an interface management framework is proposed to help automate the process of importing existing interfaces, routing and visualizing them, and exporting model templates for developers to use when creating new models. By automating this process, it becomes significantly easier to reuse models across simulation architectures (rather than creating new models from scratch) and frees up resources to improve simulation accuracy throughout a system's design.

Copyright (c) 2018 by ASME
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