Rescaling Electric Motor Simulation Models for Controller Matching
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Solution Overview
Problem
The existing process of creating new engine models for different engine sizes is time-consuming, requiring the development of entirely new models, which delays the development of new controller designs and can result in unusable simulation results due to mismatched engine/controller model parameters.
Innovation Solution
The development of systems and methods for automatically rescaling an original engine model to create a model for a different engine size, including rescaling the engine and controller models by applying computed rescaling ratios to modify parameters and reshape lookup tables, while preserving the design and architecture of the original models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If entirely new engine models are created for different engine sizes, then model accuracy for the specific engine size is improved, but development time increases significantly
Solution Approach 1:
The patent applies parameter changes by systematically modifying engine model parameters (displacement, bore, stroke, compression ratio, etc.) and controller parameters based on rescaling factors to adapt a baseline model to different engine sizes. This allows maintaining model accuracy for specific engine configurations without creating entirely new models from scratch, thereby reducing development time while preserving precision.
Solution Approach 2:
The patent uses copying by creating rescaled models that replicate the structure and architecture of a proven baseline engine model. Instead of developing new models independently, the system copies the baseline model's design framework and systematically adjusts parameters to match target engine specifications, significantly accelerating model development while maintaining accuracy.
2Manufacturing precision
If entirely new controller models are developed alongside new engine models, then controller-engine matching accuracy is improved, but overall development time increases
Solution Approach 1:
The patent modifies controller parameters (fuel injection timing, ignition timing, valve timing, etc.) based on rescaling factors derived from engine parameter changes. This systematic parameter adjustment ensures controller-engine matching accuracy for different engine sizes without requiring complete redevelopment of controller models, thereby maintaining productivity.
Solution Approach 2:
The patent creates a universal baseline controller model that can be adapted to control different engine sizes through parameter rescaling. This single versatile controller architecture replaces the need to develop separate dedicated controller models for each engine size, improving development efficiency while maintaining matching accuracy through systematic parameter adjustment.
3Adaptability or versatility
If manual model creation processes are used for different engine sizes, then model customization flexibility is improved, but labor intensity and development time increase
Solution Approach 1:
The patent implements automated parameter rescaling that systematically adjusts engine and controller parameters based on rescaling factors. This automation maintains customization flexibility for different engine sizes while eliminating manual labor intensity and reducing process complexity by replacing manual model creation with systematic computational parameter adjustment.
Solution Approach 2:
The patent enables self-service by allowing the rescaling system to automatically generate customized models for different engine sizes without requiring manual intervention. The system autonomously computes rescaling factors, adjusts parameters, and generates rescaled models, thereby maintaining adaptability while reducing labor intensity and simplifying the overall process.
Data Source
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.