Adaptive Wireless Power Delivery in Cavity Environments
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Solution Overview
Problem
Current wireless power delivery systems, particularly those using beamforming configurations, face limitations in performance, especially within cavities, necessitating a method and system that can dynamically adjust energy transmission patterns to enhance localized power transfer efficiency without prior knowledge of the cavity configuration or geometry changes.
Innovation Solution
A wireless power delivery system and method that includes a power delivery device with adaptive transmission elements, such as controllable antennas and amplifiers, and power receivers with dynamic impedance matching, enabling dynamic adjustment of energy transmission based on proximity, transmission parameter optimization, and detection of changes in the housing's electromagnetic field distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If beamforming configurations are used for wireless power delivery, then directional power transmission is achieved, but performance is limited especially within cavities
Solution Approach 1:
The system dynamically adjusts transmission parameters including phase, amplitude, and frequency of multiple antenna elements based on real-time feedback from received power measurements. This allows the beamforming configuration to adapt to different cavity geometries and receiver positions, resolving the contradiction between maintaining directional transmission and adapting to varying cavity environments
Solution Approach 2:
The system changes multiple transmission parameters simultaneously (phase shifts, amplitude weights, operating frequency) to optimize power transfer within cavities. By adjusting these parameters based on measured power levels and cavity characteristics, the system achieves both reliable power delivery and adaptability to different cavity configurations
2Productivity
If dynamic adjustment of energy transmission patterns is implemented, then localized power transfer efficiency is improved, but system complexity increases
Solution Approach 1:
The system employs feedback from power receivers to measured power levels and uses this information to automatically adjust transmission parameters. This closed-loop control enables dynamic optimization of localized power transfer efficiency while automating the control process, thereby managing system complexity through intelligent automation rather than manual intervention
Solution Approach 2:
The system performs self-optimization by automatically adjusting its own transmission parameters based on measured power levels and cavity conditions. The beamforming controller autonomously modifies phase, amplitude, and frequency settings without external intervention, enabling the system to self-adapt to different configurations and maintain high power transfer efficiency
3Adaptability or versatility
If adaptive transmission elements are used, then flexibility in housing configurations is improved, but manufacturing complexity increases
Solution Approach 1:
The system divides the transmission array into multiple independent antenna elements, each capable of individual control with adjustable phase and amplitude. This segmentation allows the housing configuration to be adapted by reconfiguring which elements are active and their respective parameters, providing flexibility while using standardized, manufacturable antenna components
Solution Approach 2:
The adaptive transmission elements are designed to perform multiple functions: they can operate in different configurations, support various housing geometries, and accommodate different receiver positions. This multi-functionality is achieved through programmable control of standard antenna elements, avoiding the need for custom-manufactured components for each application
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 allows for efficient wireless power transfer within cavities, adapting to changes in geometry and content, thereby improving localized power transfer efficiency and flexibility in housing configurations.
Implementation Method 1
A system for wireless power delivery includes a power delivery device... configured to transmit power to a power receiver
Implementation Method 2
A method for wireless power delivery includes determining transmitter-receiver proximity, determining transmission parameter values, and transmitting power based on the transmission parameter values
Data Source
AI summary
A system for wireless power delivery, preferably including one or more power receivers and a power delivery device (or multiple power delivery devices). The power delivery device preferably includes a housing and a transmitter. Each power receiver preferably includes one or more receiver antennas and electrical loads. A method for wireless power delivery, preferably including determining transmitter-receiver proximity, determining transmission parameter values, and/or transmitting power based on the transmission parameter values.