Modular Drive Device Simulation for Precision and Compute Tradeoffs
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Solution Overview
Problem
Existing simulation models for drive devices, such as electric motors and frequency converters, often face a dilemma between ease of operation and parameterization and the need for a precise functional scope, leading to customer-specific solutions with limited flexibility and overlap, resulting in either overly simplistic or overly complex mappings.
Innovation Solution
A modular virtual mapping system that allows for the selection and configuration of multiple modules based on a defined functional scope, enabling operators to customize the level of detail and optimize performance according to computing resources, thereby providing a flexible and adaptable time-dependent simulation model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a comprehensive simulation model with high functional scope is used, then simulation precision is improved, but device complexity and computational resources increase
Solution Approach 1:
The simulation model is divided into multiple independent modules, each representing a specific functional aspect of the drive device. Users can select and configure individual modules based on their simulation needs, allowing comprehensive modeling when required while enabling simplified modeling when only specific aspects are of interest.
Solution Approach 2:
The model structure is made dynamic and configurable, allowing users to adjust the functional scope and level of detail of individual modules based on computing resources and simulation objectives. This enables the model to adapt between high-precision comprehensive simulation and simplified targeted simulation.
2Measurement precision
If a detailed simulation model is used, then simulation precision is improved, but computation time increases
Solution Approach 1:
Users can apply simulation detail selectively to only those modules and aspects that are relevant to their specific simulation objectives. Instead of modeling every aspect of the drive device at high detail, users can focus computational effort on critical components while using simplified models for less important aspects.
3Ease of operation
If a simplified simulation model is used, then ease of operation is improved, but simulation precision deteriorates
Solution Approach 1:
The model is segmented into modular components with standardized interfaces and configuration options. This modular structure makes the model easier to operate and parameterize while maintaining the capability for high-precision simulation when needed, as users can selectively enable detailed modeling for specific modules.
Solution Approach 2:
The simulation model is designed to serve multiple functional scopes within a single unified framework. The same modular model structure can accommodate both simplified simulations for quick assessments and comprehensive simulations for detailed analysis, eliminating the need for separate models for different precision requirements.
4Adaptability or versatility
If customer-specific simulation models are created, then adaptability to specific needs is improved, but device complexity and development effort increase
Solution Approach 1:
The simulation model is organized as a library of standardized, independently configurable modules. Each module represents a specific functional aspect with defined parameters and interfaces. This segmentation allows customers to assemble customized simulation configurations by selecting and configuring relevant modules, achieving adaptability without creating entirely new custom models for each application.
Solution Approach 2:
A single universal modular model structure serves multiple customer-specific applications. The same core model framework can be adapted to different drive devices and simulation objectives through selective module configuration, reducing the need for multiple specialized models while maintaining high adaptability to customer needs.
Data Source
AI summary
A computer-implemented method provides a time-dependent simulation model of a drive device. The drive device comprises an electric machine and a supply unit associated with the electric machine. A functional scope of the time-dependent simulation model is defined. A virtual image of the drive device is provided. The virtual image is modularly constructed, each module of the virtual image being configurable. In order to establish the time-dependent simulation model of the drive device with the defined functional scope, in accordance with the functional scope at least one module of the virtual image is selected and the at least one module is configured with respect to its level of detail.