Wireless Power SoS Modeling for Multiphysics Rectenna Analysis
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Solution Overview
Problem
Current wireless power system design and analysis tools lack advanced capabilities to handle increased complexities such as multiphysics and harmonic balance analysis, relying on basic calculation methods and 'rule of thumb' approaches, which are insufficient for sophisticated design and simulation needs, especially in military scenarios.
Innovation Solution
A System-of-Systems (SoS) design and analysis apparatus that includes multiple design modules, graphical user interfaces for parameter selection, and output interfaces for efficiency analysis, enabling detailed multiphysics modeling and simulation of wireless power systems, including rectenna RF to DC conversion efficiency and atmospheric efficiency, to optimize wireless power system design and manufacturing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If basic calculation methods and rule of thumb approaches are used, then the design process is simple, but the analysis capability is insufficient for sophisticated design needs
Solution Approach 1:
The design tool is segmented into multiple functional modules including multiphysics analysis module, harmonic balance analysis module, circuit design module, and visualization module. Each module handles specific aspects of wireless power system design, allowing the system to manage complexity through modular organization while providing comprehensive advanced analysis capabilities.
Solution Approach 2:
The design tool integrates multiple analysis capabilities (multiphysics, harmonic balance, circuit design, optimization) into a single unified platform that can handle various aspects of wireless power system design. This multi-functional approach eliminates the need for multiple separate tools while maintaining ease of use through a standardized interface.
2Measurement precision
If advanced multiphysics and harmonic balance analysis are incorporated, then the analysis capability is improved, but the device complexity increases
Solution Approach 1:
The patent introduces intermediate processing layers including automated model generation, parameter extraction algorithms, and result synthesis modules that mediate between the complex analysis engines and the user interface. These intermediaries handle the computational complexity internally while presenting simplified interactions to users, thus maintaining ease of use despite advanced underlying capabilities.
Solution Approach 2:
The patent replaces manual iterative design processes with automated optimization algorithms and simulation engines. Computer-based automated analysis substitutes for manual mechanical design iterations, enabling sophisticated multiphysics and harmonic balance analysis to be performed automatically without requiring users to manually manage the complexity of these advanced analyses.
3Manufacturing precision
If comprehensive multiphysics analysis is performed, then the design accuracy is improved, but the design time increases
Solution Approach 1:
The patent implements preliminary model generation and parameter extraction capabilities that prepare analysis models in advance before full multiphysics simulation. By pre-processing geometric models, material properties, and boundary conditions, the system reduces the computational time required for comprehensive multiphysics analysis while maintaining design accuracy.
Solution Approach 2:
The patent employs continuous optimization algorithms and adaptive mesh refinement techniques that maintain accurate multiphysics analysis while reducing unnecessary computational steps. The system continuously refines results only where needed rather than performing uniform comprehensive analysis throughout the entire design space, thus maintaining accuracy while reducing overall design time.
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
The SoS approach provides advanced tools for designers to assess and optimize wireless power systems, reducing errors and time by allowing for comprehensive multiphysics analysis, rapid design iteration, and integration of various performance aspects, enabling more efficient and effective wireless power system development.
Implementation Method 1
rectenna RF to DC conversion efficiency
Data Source
AI summary
Systems and methods are provided for improving wireless power system design and analysis using a System-of-Systems (SoS) approach. The SoS approach includes multiple systems for analyzing, modeling, and simulating various aspects of wireless power system, particular for wireless power systems for unmanned aerial vehicles. The multiple systems include using a multiphysics approach that accounts for electromagnetic, thermal, and structural aspects of a wireless power system, such as for a rectenna design. The SoS approach further includes allowing selection and/or input of various variables such as diode selection, geographic/atmospheric, and other measured data/information to more closely model and simulate real world conditions.