Model Stage
In the model stage, all system components can be optimized and refined. Using simulation tools, the compatibility and performance of these components can be tested and analyzed. This allows engineers to monitor response frequencies and identify potential issues before physical implementation. Additionally, a detailed physical or topological system model can be created, incorporating mechanical, hydraulic, and control-oriented elements. A robust modeling tool is essential here, one that supports full-scale 1:1 testing of physical objects and nodes. This enables early-stage prototype development under real-time conditions, providing a solid foundation for further validation.
Analyze the Model
During this phase, the model is thoroughly examined to ensure it accurately represents the intended system behavior. By creating a comprehensive model, engineers can simulate various operating scenarios and assess the impact of different design choices. This helps in identifying weak points and optimizing performance before moving to the next stage. The model also serves as a reference for future modifications and improvements, ensuring consistency throughout the development process.
Test Phase
Once the model is complete, the next step is to validate its predictions through hardware-in-the-loop (HIL) testing. This involves using a test bench to verify the actual performance data generated by the model. The test phase focuses on evaluating the system's resilience to parameter variations, power availability, and long-term operation. Users can leverage tools like CAMeL-View TestRig to conduct these tests efficiently. To ensure accurate results, the physical characteristics of the relevant devices must be precisely defined and aligned with the test platform. Components that have been validated on the test bench are then mapped back into the model, enabling a full-system simulation and analysis.
Prototype Stage
After successful testing, a working prototype is developed. This stage is crucial for translating the simulated model into a tangible system. Key model characteristics—such as component losses and performance metrics—are closely examined during this phase. These insights not only support the initial model analysis but also serve as a valuable knowledge base for future R&D efforts. The prototype provides real-world feedback, helping to refine the model further and ensure it meets all functional and performance requirements.
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