Electromechanical Simulation Iterative Coupling
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Solution Overview
Problem
Multi-physics simulations of electromechanical objects require numerous computational iterations, leading to significant computation time and resource usage due to the coupling of electromagnetic and thermal models, which is inefficient and time-consuming.
Innovation Solution
An iterative method where the electromagnetic model computes loss parameters, which are then updated by a thermal model based on material properties, allowing for a more accurate temperature field computation and feedback to the electromagnetic model, thereby reducing the number of iterations needed for convergence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple computational iterations are performed for each model to achieve accurate solution, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent applies preliminary action by performing a first computational iteration to obtain initial coupling parameters, then using these parameters to update material properties before performing a second computational iteration. This preliminary computation of material properties based on temperature fields from the first iteration accelerates convergence and reduces total computation time while maintaining solution accuracy.
2Manufacturing precision
If multiple computational iterations are performed for each model to achieve accurate solution, then manufacturing precision is improved, but productivity decreases
Solution Approach 1:
The patent implements feedback by using the temperature field results from the first computational iteration to update material properties (such as electrical resistivity) that are then fed into the second computational iteration. This feedback loop allows the system to converge to an accurate solution more quickly, improving both precision and computational productivity.
3Measurement precision
If numerous iterative computations are performed, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The patent reduces energy consumption by performing preliminary computation of temperature fields and material properties in the first iteration, which then enables the second iteration to converge faster with fewer computational steps. This preliminary action approach decreases the total computational energy required while maintaining solution accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances the computation time and accuracy of multi-physics simulations by iteratively refining loss parameters and temperature fields, allowing the simulation to reach a consistent solution more efficiently.
Implementation Method 1
The electromagnetic model is executed, wherein a plurality of iterations are performed for computing the electromagnetic model. An output parameter of an electromechanical model is used as input parameter of a thermal model.
Implementation Method 2
the computation of the electromagnetic model results in an electric and/or magnetic loss. This can be a loss which is caused e.g. by eddy currents in the ferromagnetic components and/or the iron core of an electric motor.
Implementation Method 3
Based on the thermal model, the electromagnetic loss is updated. This update is based on material properties of the motor comprised by the thermal model. Such material properties can be e.g. a temperature-dependent electrical resistivity of a ferromagnetic component and/or of an iron core of an electric motor.
Data Source
AI summary
Methods and apparatuses for simulating an electromechanical object are described. An electromagnetic solver is invoked for an electromagnetic model of the object to generate an electromagnetic loss of the object an operating temperature. A temperature dependent electromagnetic loss of the object is determined based on the electromagnetic loss at the operating temperature. The temperature dependent electromagnetic loss varies according to a temperature of the object. A thermal solver is invoked for a thermal model of the object to estimate a temperature of the object based on the temperature dependent electromagnetic loss of the object and the operating temperature.