Electric Motor Model Rescaling With Matched Controller Parameters
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Solution Overview
Problem
Creating a new engine model for a different engine size is a time-consuming process, and using mismatched engine/controller model parameters can result in unusable simulation results, delaying the development of new controller designs.
Innovation Solution
Systems and methods for automatically rescaling an original engine model to create a model for a different engine size, including rescaling engine and controller parameters and lookup tables, while preserving the design and architecture, and generating a matched rescaled controller model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a new engine model is created from scratch for a different engine size, then the model accuracy and reliability are improved, but the development time and complexity increase significantly
Solution Approach 1:
The patent creates a rescaled copy of the original engine model by systematically transforming parameters, lookup tables, and controller settings. Instead of building a new model from scratch, the system copies the validated original model structure and rescales it to match the new engine specifications, preserving accuracy while dramatically reducing development time
Solution Approach 2:
The patent applies systematic parameter transformations including displacement ratio, power ratio, and torque ratio to rescale engine parameters, lookup table breakpoints, and controller gains. This mathematical transformation approach maintains model fidelity while adapting it to different engine sizes
2Productivity
If engine and controller model parameters are mismatched, then the development process is simplified, but the simulation results become unusable
Solution Approach 1:
The patent implements a feedback mechanism where the rescaling tool automatically calculates transformation ratios based on the relationship between original and target engine parameters. This feedback loop ensures that controller parameters are consistently adjusted to match the rescaled engine model, maintaining simulation validity throughout the rapid development process
Solution Approach 2:
The patent creates a universal rescaling framework that can be applied to any engine model regardless of the specific engine type or controller architecture. The systematic parameter transformation approach works across different engine configurations, enabling rapid adaptation while maintaining parameter matching integrity
3Stability of the object's composition
If the original model architecture is preserved during rescaling, then the design consistency is maintained, but the adaptability to different engine configurations is limited
Solution Approach 1:
The patent achieves both design consistency and configuration flexibility through systematic parameter transformations. By applying mathematical scaling factors to parameters, lookup tables, and controller gains, the system maintains the validated architectural relationships of the original model while adapting to different engine sizes and configurations
Data Source
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AI summary
Systems and methods automatically rescale an original electric motor model so that it models an electric motor of a different size. The original electric motor model may be coupled to a motor controller model, and the systems and methods may also rescale the original motor controller model to produce a rescaled motor controller model matched to the rescaled electric motor model. The original electric motor model may include motor parameters and motor lookup tables, and the original motor controller model may include controller parameters and controller lookup tables. Rescaling factors indicating the size of the new electric motor being modeled may be received, and ratios may be computed as a function of the rescaling factors. Original motor parameters and controller parameters may be rescaled based on the ratios. Original motor lookup tables and controller lookup tables may be reshaped based on the ratios.