Wireless Power Beamforming for Fast Multi-Receiver Tuning
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Solution Overview
Problem
Current wireless power delivery systems face challenges in determining efficient power transmission settings due to the complexity of parameters and the time-consuming nature of evaluating and configuring transmitter-receiver configurations, especially with dynamic environments and multiple receivers.
Innovation Solution
A method and system for wireless power delivery that includes determining transmitter-receiver proximity, assessing transmission parameters through local and global searches, and employing multi-variate and multi-objective optimization techniques to rapidly determine optimal power transmission settings, utilizing controllable transmission elements and supergaining antennas for efficient energy transfer.
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 dynamically adjusts transmission configurations based on real-time receiver positions and orientations. The transmitter continuously optimizes beamforming weights and antenna element phases to track moving receivers, transforming the static beamforming approach into a dynamic adaptation system that maintains high efficiency despite changing conditions
Solution Approach 2:
The system employs self-optimizing algorithms that automatically determine optimal transmission parameters without external intervention. The transmitter autonomously performs local and global searches to identify best configurations, and the receiver provides feedback signals that enable the transmitter to self-adjust to maintain optimal power transfer
2Reliability
If comprehensive transmission parameter assessment is performed to ensure optimal power delivery, then power transmission reliability is improved, but the time required to determine transmission settings increases
Solution Approach 1:
The system performs preliminary assessments of potential transmission configurations using predictive models and historical data before actual power transfer begins. By pre-evaluating multiple candidate configurations and ranking them, the system prepares optimal settings in advance, reducing the time needed when receivers are detected or positions change
Solution Approach 2:
The system implements a two-tiered assessment approach: a quick local search that evaluates only the most promising configurations for rapid results, and a more comprehensive global search that occasionally runs to ensure optimality. This partial action strategy achieves sufficient reliability without always performing exhaustive assessments, thus reducing average setup time
3Adaptability or versatility
If multiple receivers are served simultaneously with optimized power delivery, then system versatility is improved, but the complexity of determining transmission settings increases
Solution Approach 1:
The system segments the set of receivers into multiple groups or clusters based on their spatial positions and power requirements. Each group is served by dedicated beamforming configurations, allowing the transmitter to manage multiple receivers through divided attention rather than attempting to optimize for all receivers simultaneously, thus reducing computational complexity
Solution Approach 2:
The system employs a universal transmission framework that can adapt to serve different numbers and types of receivers using the same core algorithms and hardware. The beamforming configuration automatically adjusts to handle various scenarios - whether serving one receiver or multiple receivers - without requiring fundamentally different system architectures or procedures
4Speed
If rapid determination of power transmission settings is achieved through simplified methods, then transmission speed is improved, but the accuracy of optimal configuration determination deteriorates
Solution Approach 1:
The system implements continuous feedback loops where receivers send back signals indicating received power levels and quality metrics. This feedback enables the transmitter to verify whether rapidly determined configurations are actually optimal and to make fine adjustments afterward, ensuring accuracy is maintained even when initial configuration determination is performed quickly
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 significantly reduces the time needed to determine acceptable power transmission settings, enables efficient energy transmission even with changing orientations and environments, and allows for increased power transmission rates with reduced receiver and transmitter sizes.
Implementation Method 1
transmitting power to the receiver based on the transmission plan, wherein the power is transmitted as electromagnetic radiation
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.