Stacked Plate Resonator Modeling for Wireless Power Optimization

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Solution Overview

Problem

Existing wireless power transfer systems using stacked plate resonators face challenges in optimizing system performance due to the complexity of interrelated components, making it difficult to generate closed equations for perfect modeling.

Innovation Solution

A method involving a computing device to generate various sets of design parameters for wireless power transfer systems with stacked plate resonators, select optimal parameters, and iteratively evaluate and generate subsequent populations of system designs to optimize performance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If conventional techniques are used to optimize wireless power transfer systems with stacked plate resonators, then the system components can be designed and assembled, but the optimization process becomes unwieldy, lengthy, and impossible due to the complexity of interrelated components

Engineering Contradiction:
Improveoptimization speedVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent transforms the complex system optimization problem into a parameter optimization problem by representing the stacked plate resonator system through a set of design parameters. This allows the use of genetic algorithms to efficiently search and optimize parameter combinations, converting an intractable system-level optimization into a manageable parameter-space search that can be completed in timely manner.

Inventive Principle:
Principle #35Parameter changes

2Reliability

If stacked plate resonators are used in wireless power transfer systems, then power transfer efficiency can be improved, but it becomes impossible to generate closed equations to perfectly model the system due to the number of design parameters and interrelations

Engineering Contradiction:
Improvepower transfer efficiencyVSAvoidmodeling complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent creates a computational model (a simplified representation or copy) of the stacked plate resonator system that captures the essential behavior without requiring perfect mathematical accuracy. This model enables evaluation and optimization of system performance without needing closed-form equations, allowing the complex physical system to be studied through computational simulation rather than analytical mathematics.

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent replaces traditional analytical/mathematical modeling approaches with computational simulation and genetic algorithm optimization. Instead of seeking closed-form mathematical equations to model the system, the invention uses computer-based simulation and evolutionary computation to achieve optimization, substituting mechanical/mathematical analysis with computational methods.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Adaptability or versatility

If the number of design parameters for stacked plate resonators is increased to improve performance, then system capabilities are enhanced, but the ability to generate closed equations for modeling is lost

Engineering Contradiction:
Improvesystem performance capabilityVSAvoidmodeling accuracy
Core Design Contradiction:
Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent creates a computational model (a simplified representation or copy) of the stacked plate resonator system that captures the essential behavior without requiring perfect mathematical accuracy. This model enables evaluation and optimization of system performance without needing closed-form equations, allowing the complex physical system to be studied through computational simulation rather than analytical mathematics.

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 enables the discovery of an optimum solution for wireless power transfer systems in a timely manner, improving efficiency and effectiveness in modeling stacked plate resonator systems.

Implementation Method 1

an external transmit resonator and an implantable receive resonator configured to be implanted inside a patient's body

Methodology Applied
Scientific EffectElectromagnetic resonance: Resonance

Implementation Method 2

wireless power transfer system including a transmit resonator and a receive resonator

Methodology Applied
Scientific EffectElectromagnetic induction: Electromagnetic Induction

Implementation Method 3

each of the transmit resonator and the receive resonator including a magnetic core having a post, and a plurality of alternating dielectric layers and conductive layers stacked around the post

Methodology Applied
Scientific EffectMagnetic flux concentration: Magnetic Field

Data Source

PatentUS12210805B2Systems and methods for modeling wireless power transfer systems including stacked plate resonators
Publication Date: 2025.01.28 TC1 LLC
  • US12210805B2 patent drawing
  • US12210805B2 patent drawing
  • US12210805B2 patent drawing

AI summary

A method for modeling a wireless power transfer system including stacked plate resonators is provided. The method includes generating, using a computing device, a plurality of different sets of design parameters for a wireless power transfer system including a transmit resonator and a receive resonator, each of the transmit resonator and the receive resonator including a magnetic core having a post, and a plurality of alternating dielectric layers and conductive layers stacked around the post. The method further includes selecting, using the computing device, one set of the plurality of generated sets of design parameters, generating, using the computing device, an initial population of wireless power transfer systems based on the selected set, evaluating, using the computing device, each wireless power transfer system in the initial population, and generating, using the computing device, a subsequent population of wireless power transfer systems based on the evaluating.