IPMS Motor Analytical Model Finite Rotor Permeability

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Solution Overview

Problem

Conventional analytical models for interior permanent magnet synchronous (IPMS) motors face challenges in accurately calculating electromagnetic performance due to the complex rotor structure and nonlinearity, particularly in predicting magnetic field distribution within the rotor core, which affects design optimization and efficiency.

Innovation Solution

A simplified analytical model is developed by considering finite permeability of the rotor core regions, allowing for accurate calculation of magnetic fields and electromagnetic losses through subdomain analysis and boundary conditions, using Maxwell's equations and Fourier series to derive governing equations for each region.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If conventional analytical models assume infinite permeability for rotor core regions, then the calculation is simplified, but the accuracy of magnetic field distribution and electromagnetic performance prediction deteriorates

Engineering Contradiction:
Improvecalculation simplicityVSAvoidmagnetic field distribution accuracy
Core Design Contradiction:
Ease of manufactureVSMeasurement precision

Solution Approach 1:

The patent changes the permeability parameter from the conventional infinite assumption to a finite value that reflects actual rotor core material properties. This allows the analytical model to accurately capture magnetic field distribution and electromagnetic performance while maintaining computational efficiency through closed-form solutions.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent applies different permeability values to different rotor core regions (pole-piece regions versus bridge regions), recognizing that these areas have different magnetic properties. This localized differentiation improves accuracy without requiring a fully complex numerical model throughout the entire structure.

Inventive Principle:
Principle #3Local quality

2Measurement precision

If finite permeability of rotor core regions is considered, then the accuracy of electromagnetic performance analysis is improved, but the complexity of the analytical model increases

Engineering Contradiction:
Improveelectromagnetic performance accuracyVSAvoidanalytical model complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the rotor core into distinct regions (pole-piece regions and bridge regions) with different finite permeability values. This segmentation allows the complex problem to be broken into manageable sub-problems that can be solved analytically using boundary conditions and superposition principles.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent establishes boundary conditions and governing equations in advance for each region before solving. By pre-defining the mathematical framework and permeability distributions, the model maintains analytical tractability even with finite permeability considerations.

Inventive Principle:
Principle #10Preliminary action

3Loss of time

If conventional analytical models are used for IPMS motors, then the design cycle is shorter, but the reliability of performance prediction deteriorates due to nonlinearity and complex rotor structure

Engineering Contradiction:
Improvedesign cycle timeVSAvoidperformance prediction reliability
Core Design Contradiction:
Loss of timeVSReliability

Solution Approach 1:

The patent modifies the permeability parameter from infinite to finite values that account for nonlinear magnetic effects in the rotor core. This single parameter change enables the analytical model to capture saturation effects and improve prediction reliability without requiring time-consuming numerical simulations.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent creates an improved analytical model that copies the essential physics of the complex rotor structure through simplified representations with finite permeability. This allows rapid design iteration while maintaining sufficient accuracy for reliable performance prediction.

Inventive Principle:
Principle #26Copying

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 accuracy and validity of electromagnetic performance analysis, enabling faster calculation and design optimization of IPMS motors, improving their efficiency and performance in various industrial applications.

Implementation Method 1

A system for designing an evaluation of an electromagnetic performance of a permanent magnet (PM) motor... to execute steps of an electromagnetic analytical (EA) model... Calculate a general solution to a governing equation to each region... to solve for a magnetic vector potential

Methodology Applied
Scientific EffectMagnetic field: Magnetic Field

Implementation Method 2

Each component of the PM motor is associated with assumptions including some assumptions with a relative permeability of regions associated with a rotor core that are modeled as finite

Methodology Applied
Scientific EffectPermeability: Magnetic Reluctance

Data Source

PatentUS11366944B2Modeling interior permanent magnet synchronous machines considering permeability of rotor
Publication Date: 2022.06.21 MITSUBISHI ELECTRIC RESEARCH LABORATORIES INC
  • US11366944B2 patent drawing
  • US11366944B2 patent drawing
  • US11366944B2 patent drawing

AI summary

A system for evaluating an electromagnetic performance of a permanent magnet (PM) motor. Parameters update an electromagnetic analytical (EA) model. Each component of the PM motor is associated with regions, and assumptions of the EA model include a relative permeability of regions associated with a rotor core modeled as finite. Calculate a general solution to a governing equation to each region which include unknown coefficients to be determined. Define a set of boundary and interface (B&I) conditions for two neighboring regions, each B&I condition is defined through a set of Maxwell equations using the two neighboring regions sets of assumptions, geometries of the PM motor and electrical and magnetic properties associated with the two neighboring regions. All the unknown coefficients in the general solutions in all regions are solved with a linear system of equations obtained from the B&I conditions between the regions, to solve for a magnetic vector potential.