Wireless Power Transmission Schedule Based on Coupling Coefficients
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Solution Overview
Problem
Existing wireless power transmission systems face inefficiencies when dealing with multiple power reception apparatuses due to the need for frequency and impedance matching, which becomes complex and reduces transmission efficiency as the number of RX resonators increases.
Innovation Solution
A wireless power transmission system that classifies reception nodes into subsets based on mutual coupling coefficients and determines a transmission schedule to optimize energy transmission, allowing for efficient energy transfer without the need for frequency or impedance matching, using a processor to manage channel information and transmission schedules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If frequency and impedance matching is performed for multiple power reception apparatuses, then power transmission capability is improved, but system complexity and control difficulty increase significantly
Solution Approach 1:
The patent segments the multiple power reception apparatuses into distinct groups or subsets, allowing the transmission system to manage power delivery to each segment separately. This segmentation reduces the overall complexity by breaking down the complex matching problem into smaller, more manageable sub-problems, while still maintaining effective power transmission to all apparatuses.
Solution Approach 2:
The system performs preliminary classification and grouping of reception apparatuses before the actual power transmission process. By pre-organizing the apparatuses into subsets based on their characteristics and coupling coefficients, the system avoids the need for complex real-time matching adjustments during power transmission, thereby reducing control difficulty while maintaining transmission effectiveness.
2Quantity of substance
If the number of RX resonators is increased, then power reception capacity is improved, but transmission efficiency decreases due to coupling complexity
Solution Approach 1:
By segmenting the reception apparatuses into subsets with manageable coupling relationships, the system can efficiently manage power transmission to multiple devices without experiencing exponential increases in coupling complexity. This segmentation allows the system to scale to more reception apparatuses while maintaining transmission efficiency.
Solution Approach 2:
The system changes the operational parameters dynamically based on the subset configuration and coupling coefficients. By adjusting transmission parameters according to the pre-determined subsets, the system optimizes energy transfer efficiency even when serving multiple reception apparatuses, preventing efficiency degradation that would otherwise occur with increased device count.
3Loss of energy
If transmission schedule is optimized based on coupling coefficients, then energy transfer efficiency is improved, but control processing time increases
Solution Approach 1:
The system performs the complex analysis of coupling coefficients and determination of optimal transmission schedules in advance, before actual power transmission begins. By pre-calculating the subset groupings and transmission schedules based on measured coupling coefficients, the system avoids time-consuming real-time calculations during power delivery, thus minimizing control processing time while maintaining optimized energy transfer efficiency.
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 maximizes transmission efficiency by minimizing coupling between RX nodes and optimizing the transmission schedule, enhancing energy transfer in systems with multiple power reception apparatuses without the complexity of matching frequencies or impedances.
Implementation Method 1
Near-field wireless power transmission refers to wireless power transmission over a distance between a transmission coil and a reception coil which is sufficiently shorter in comparison to a wavelength at an operation frequency. A wireless power transmission and reception system using resonance characteristics includes a source configured to supply power
Implementation Method 2
A wireless power transmission system that classifies reception nodes into subsets based on mutual coupling coefficients and determines a transmission schedule to optimize energy transmission, allowing for efficient energy transfer without the need for frequency or impedance matching
Data Source
AI summary
A wireless power transmission system and method thereof are provided. A power transmission apparatus includes a processor configured to classify reception (RX) nodes into a subset, and to determine a transmission schedule based on the subset; and a transmission (TX) resonator configured to wirelessly transmit energy to an RX node corresponding to the subset, based on the transmission schedule.