Modular Drive Device Simulation With Configurable Detail Levels
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Solution Overview
Problem
Existing simulation models for drive devices are either overly complex or simplistic, lacking flexibility to adapt to specific user needs and computing resources, and often require full representation of the drive device, which is inefficient.
Innovation Solution
A modular, time-dependent simulation model with configurable modules that allow users to select and adjust the level of detail based on their specific interests and available resources, enabling flexible simulation of drive devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a comprehensive simulation model with full functional scope is created, then simulation accuracy is improved, but device complexity and computational resources increase
Solution Approach 1:
The simulation model is divided into modular components representing different functional aspects of the drive device (electrical machine, supply unit, control device, environment). Each module can be independently configured and combined based on simulation needs, allowing comprehensive models to be built from smaller manageable pieces that can be optimized individually.
Solution Approach 2:
The model complexity is made dynamic and configurable rather than fixed. Users can adjust the level of detail and functional scope of each module based on their specific simulation requirements and available computational resources, transforming a static comprehensive model into a flexible adaptive system.
2Adaptability or versatility
If a detailed simulation model is created to cover all functions, then simulation completeness is improved, but ease of operation deteriorates due to parameterization complexity
Solution Approach 1:
The parameterization process is segmented across modular components rather than requiring configuration of a monolithic model. Users only need to parameterize the modules relevant to their simulation objectives, reducing the overall parameterization burden while maintaining completeness for targeted simulations.
Solution Approach 2:
The modular architecture creates universal building blocks that can be reused across different simulation scenarios. The same module library serves multiple simulation purposes, and users can combine modules in different configurations without reparameterizing entire models, improving both completeness and ease of operation.
3Ease of operation
If a simplified simulation model is used, then ease of operation is improved, but simulation accuracy deteriorates
Solution Approach 1:
The model allows dynamic adjustment of detail level based on simulation needs. Users can start with simplified models for quick assessments and easily enhance specific modules to increase accuracy when needed, rather than being locked into a fixed level of complexity.
Solution Approach 2:
Different modules can have different levels of detail and accuracy appropriate to their specific function. Critical components can be modeled with high precision while less important aspects use simplified representations, achieving overall accuracy where needed without unnecessary complexity elsewhere.
4Adaptability or versatility
If a custom-specific simulation model is created for each customer need, then adaptability to specific requirements is improved, but device complexity increases
Solution Approach 1:
A universal module library is created that can be reused across different customer-specific simulations. The same standardized modules serve multiple applications, and customization is achieved through selective combination and configuration rather than developing entirely custom models for each case, reducing development complexity while maintaining adaptability.
Solution Approach 2:
The model development process is segmented into reusable component creation and custom assembly phases. Once modules are developed, they can be independently configured and combined for different applications without redesigning the entire model, separating the complex development work from the simpler customization process.
Data Source
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AI summary
The invention relates to a computer-implemented method for providing a time-dependent simulation model of a drive device (1), the drive device comprising an electric machine (3) and a supply unit associated with the electric machine, wherein: - (S1) a functional scope of the time-dependent simulation model (100, 101) is defined; - (S2) a virtual image of the drive device (1) is provided, the virtual image being modularly constructed, each module (M1, M2, M3, M4, M5, M6, M60, M61, M62, M63, M64, M65, M66, M67, M68) of the virtual image being configurable; - (S3) in order to establish the time-dependent simulation model (100, 101) of the drive device (1) with the defined functional scope, in accordance with the functional scope at least one module (M1, M2, M3, M4, M5, M6, M60, M61, M62, M63, M64, M65, M66, M67, M68) of the virtual image is selected and the at least one module (M1, M2, M3, M4, M5, M6, M60, M61, M62, M63, M64, M65, M66, M67, M68) is configured with respect to its level of detail.