Wireless Power Delivery Parameter Search for Changing Receiver Positions
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current wireless power delivery systems face challenges in determining efficient power transmission settings due to the complexity of parameter assessment and the need for lengthy searches, which can be time-intensive and invalidated by frequent changes in transmitter-receiver positions and orientations.
Innovation Solution
A method and system for wireless power delivery that includes determining transmitter-receiver proximity and assessing transmission parameters using local or stochastic global searches, employing multi-variate and multi-objective searches, and utilizing supergaining antennas with pure-tone signals to optimize power transmission, allowing for rapid determination of efficient settings despite environmental changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional beamforming configurations are used for wireless power delivery, then system simplicity is maintained, but power transmission efficiency and performance are limited
Solution Approach 1:
The system segments the power transmission task by dividing multiple transmitters into coordinated groups, each responsible for specific receivers. This segmentation allows complex multi-transmitter coordination while maintaining manageable individual transmitter operations, thereby improving overall power transmission efficiency without overwhelming system complexity
Solution Approach 2:
The system dynamically adjusts transmitter-receiver pairings and power distribution based on real-time proximity assessments and environmental conditions. This dynamic adaptation enables the system to optimize power transmission efficiency for each specific configuration while using automated algorithms to manage the complexity of real-time adjustments
2Productivity
If comprehensive parameter assessment is performed to determine optimal power transmission settings, then transmission efficiency is improved, but the time required for parameter search increases significantly
Solution Approach 1:
The system performs preliminary proximity assessments and environmental evaluations before initiating full parameter optimization. By pre-identifying suitable transmitter-receiver pairings and filtering out suboptimal configurations in advance, the system reduces the search space for comprehensive parameter assessment, thereby achieving high transmission efficiency without excessive search time
Solution Approach 2:
The system performs assessments at multiple levels of detail: quick preliminary assessments for all potential pairings, followed by more comprehensive assessments only for the most promising candidates. This partial assessment approach ensures optimal transmission settings are found efficiently without wasting time on obviously suboptimal configurations
3Productivity
If detailed multi-variate and multi-objective searches are conducted to optimize power transmission, then transmission performance is improved, but the computational time and complexity increase
Solution Approach 1:
The optimization search is segmented into multiple independent objective functions, each evaluating a specific aspect of transmission performance (e.g., power delivery efficiency, energy consumption, thermal management). This segmentation allows parallel evaluation of different objectives and simplifies the overall optimization problem while maintaining comprehensive performance optimization
Solution Approach 2:
The system performs full multi-variate searches only when necessary (e.g., when environmental conditions change significantly or when preliminary assessments indicate potential for optimization). For stable conditions, the system uses simplified assessment based on previous optimization results, reducing computational complexity while maintaining high energy transmission efficiency
4Adaptability or versatility
If frequent reassessment of transmission parameters is performed to adapt to changing positions and orientations, then adaptability is improved, but the time loss from repeated searches increases
Solution Approach 1:
The system implements continuous feedback monitoring of transmitter-receiver proximity and environmental conditions. When changes exceed predefined thresholds, the system triggers parameter reassessment. This feedback mechanism ensures the system adapts to environmental changes while avoiding unnecessary reassessments during stable conditions, thereby maintaining high adaptability with minimal time loss
Solution Approach 2:
The system performs parameter reassessment periodically based on monitored environmental stability rather than continuously. During stable periods, the system maintains current optimized settings. When instability is detected (indicating position or orientation changes), the system initiates reassessment. This periodic action based on actual need balances adaptability with time efficiency
Data Source
AI summary
A method for wireless power delivery, preferably including: determining transmitter-receiver proximity, assessing transmission parameters, and/or transmitting power based on a transmission plan. A system for wireless power delivery, preferably including a plurality of receivers and one or more transmitters.