Model Description Documentation Recommended Practice for Ground Vehicle System and Subsystem Simulation
- Ground Vehicle Standard
|Ground Vehicle Standard||Model Architecture and Interfaces Recommended Practice for Ground Vehicle System and Subsystem Dynamical Simulation|
|Progress In Technology||Automotive Microcontrollers, Volume 2|
|Technical Paper||Development and Verification of In-Vehicle Networks in a Virtual Environment|
Data Sets - Support Documents
|Unnamed Dataset 1|
|Table A1||Categories of information for model documentation|
|Table B1||Summary of content items for each use case|
|Table C1||Template for documenting the product description of a model|
|Table C2||Template for documenting requirements of a model|
|Table C3||Template for documenting the compatibility of a model|
|Table C4||Template for documenting information needed for model process management|
|Table C5||Template for documenting a model for in-the-loop tests|
|Table C6||Template for documenting information needed to apply a model in a simulation|
|Table C7||Template for documenting the technical specification of a model|
|Table D1||Example of technical specification documentation for a model|
Background Need: Complexity of automotive systems (as used in passenger cars, heavy duty trucks, military vehicles, and agricultural and construction equipment) is increasing at a rapid rate along with competitive pressures to reduce product development cycle times. Development of these modern automotive systems requires highly coordinated collaboration across several disciplines of engineering and physics within organizations, and between a network of OEM’s, suppliers, research laboratories and universities across the industry and around the globe. To keep up with technology change and competitive pressures, these global teams need virtual engineering methods for responsive, cost effective and efficient collaborative development.
The future development of automotive systems will continue to be driven by the same forces and trends that they experience today. These factors will require continual improvements in terms of higher fuel efficiency, higher quality and reliability, lower emissions, and improved safety, while providing more value to the customer at a lower cost. To minimize costs and time, systems will be developed by global teams collaborating across an industry network using virtual engineering processes and methods with minimal physical builds required only to confirm designs and performance. Virtual engineering of automotive systems will require dynamical modeling and simulation (DM&S) using the integration of models from different companies and disciplines with varying levels of abstraction (fidelity and complexity). Additionally, DM&S is a critical enabler for an integrated development process needed to establish seamless and efficient flows of new technologies from research to production.
In order to make global enterprise and cross-enterprise virtual engineering methods cost effective, efficient and robust, automotive industry wide standards for dynamical modeling and simulation are required.
Objective: The objective of the committee is to establish modeling and simulation standards to facilitate dynamical modeling and simulation of automotive systems. These standards will facilitate integrated and multidisciplinary virtual engineering processes for highly coordinated and collaborative engineering work. SAE Standards, Recommended Practices and Information Reports (standards) will be established and published to facilitate and promote cost effective, efficient and robust: 1) model and data sharing and reuse, 2) seamless modeling, simulation and analysis workflows, 3) virtual engineering processes, 4) modeling and simulation tool interoperability, 5) model portability across simulation tools, and 6) verification and validation.
Scope: The committee’s activities will develop standards for dynamical models and simulations that mathematically describe an automotive system’s time varying response, behavior and interactions of subsystems and components. These standards will include processes, methods, performance metrics and analyses related to dynamical modeling and simulation of automotive systems. The focus is on standards to make models reusable and simulation results predictable and repeatable across engineering and physics disciplines, application tools, and the automotive industry.