Wireless Power Beacon Sampling Using Precomputed Directionality
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Solution Overview
Problem
Existing wireless power transmission systems face inefficiencies in delivering power to devices in multipath environments due to the need for complex phase calculations and high computational requirements for beacon signal sampling, which can be burdensome and time-consuming, especially when tracking device movement and location.
Innovation Solution
The implementation of a method that reduces computational requirements by utilizing previously calculated inverse beacon directionality to transmit power efficiently, allowing for static or semi-static movement status determination and leveraging stored constants to minimize recalculations, thereby optimizing power delivery in wireless power delivery environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex phase calculations and high computational requirements are used for beacon signal sampling, then power delivery accuracy is improved, but computational burden and time consumption increase
Solution Approach 1:
The system performs preliminary calculations of inverse beacon directionality and stores them as constants before actual power delivery. When a beacon signal is received, the pre-calculated inverse directionality values are retrieved and applied directly, eliminating the need for complex real-time phase calculations while maintaining power delivery accuracy.
2Measurement precision
If real-time beacon signal sampling is performed to track device movement and location, then power delivery accuracy is improved, but time consumption increases
Solution Approach 1:
The system pre-calculates and stores inverse beacon directionality constants for various beacon signal configurations. When tracking device movement, the system retrieves these pre-computed values based on the received beacon signal characteristics, enabling rapid location tracking without performing time-consuming real-time calculations.
3Measurement precision
If frequent beacon signal sampling is performed to track device movement, then device location tracking accuracy is improved, but computational strain increases
Solution Approach 1:
The system pre-computes inverse beacon directionality constants and stores them in a lookup table or database. During operation, when beacon signals are sampled to track device movement, the system quickly retrieves the appropriate pre-calculated constants based on the beacon signal parameters, enabling frequent sampling with minimal computational strain.
Data Source
AI summary
In retrodirective wireless power delivery environments wireless power receivers generate and send beacon signals that are received by multiple antennas of a wireless power transmission system. The beacon signals provide the charger with timing information for wireless power transfers and also indicate directionality of the incoming signal. As discussed herein, the directionality information is employed when transmitting in order to focus energy (e.g., power wave delivery) on individual wireless power receiver clients. Techniques are described herein for reducing the burden of sampling the beacon signals across the multiple antennas and determining the directionality of the incoming wave. In some embodiments, the techniques leverage previously calculated values to simplify the receiver sampling.