Model-based systems engineering (MBSE) using open standards provides a better understanding of the complex interactions at work in modern vehicle design
More than at any time in automotive history, performance factors are based on interdependencies that ripple throughout the vehicle, particularly for hybrids that combine combustion engines with electric propulsion systems.
Modelon, a worldwide supplier of products and services for system design and optimization, recently used a model-based systems engineering (MBSE) approach to evaluate and balance multiple performance attributes for an e4WD hybrid car. MBSE-based technologies are used by major automotive manufacturers such as Audi, BMW, Daimler, Toyota, Volkswagen, Volvo and others.
The MBSE approach is defined by three basic characteristics:
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multi-domain, where the physics from several different vehicle systems can be simulated within the same models;
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multi-fidelity, where models of different sizes and complexity can be used according to specific analysis needs; and
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wide deployment, where models can be exported outside their original environments and used for a wide range of engineering evaluations.
The key enablers in Modelon's study were Dymola, software from Dassault Systèmes that uses the open-standard Modelica language to model and simulate the behavior and performance of systems with complex interactions; and FMI (Functional Mockup Interface), an open-standard interface that enables models called FMUs to be integrated into multiple simulation environments.
The vehicle models use Modelica libraries from Modelon that enable plug-and-play modeling with a variety of subsystem configurations at different fidelity levels.
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