Predictive Phase Tracking for Moving Wireless Power Clients
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Solution Overview
Problem
Current wireless power transmission systems face challenges in efficiently delivering power to moving clients due to unreliable phase measurements and interference, especially in multipath environments with signal blockages and noise, limiting the effectiveness of directional power delivery.
Innovation Solution
A predictive phase estimation system that includes a transceiver module, phase compensation module, and phase predictor module to calculate and adjust transmission signals based on received beaconing signals, allowing for accurate phase tracking and efficient power delivery to moving clients by forming transmission signals that match the client's radiation and reception pattern.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If directional power transmission is used to improve efficiency, then power delivery efficiency is improved, but phase measurement reliability deteriorates in multipath environments with signal blockages and noise
Solution Approach 1:
The system performs preliminary phase tracking during beacon cycles before actual power transmission. By calculating predictive phases in advance based on beacon signal measurements, the system prepares phase compensation values that will be valid during the subsequent power delivery phase, even if the client moves. This preliminary action allows directional transmission to be maintained efficiently while compensating for phase measurement issues in multipath environments.
Solution Approach 2:
The system continuously receives beacon signals from the client and uses these feedback measurements to update phase predictions. The phase predictor module processes beacon signal phases and compares them with predicted phases, using the difference to refine future phase predictions. This feedback mechanism ensures that phase tracking remains reliable despite multipath interference and signal blockages, maintaining both efficiency and reliability.
2Length of stationary object
If RF power transmission is used to enable wireless charging at larger distances, then charging distance is extended, but power delivery level is constrained to low power levels
Solution Approach 1:
The system dynamically adjusts transmission parameters including phase, frequency, and power level based on real-time beacon signal measurements and predictive phase calculations. By optimizing these parameters continuously, the system maximizes power delivery efficiency at extended distances without being constrained to fixed low power levels. The phase prediction capability allows the system to maintain optimal parameters even when the client moves, enabling higher power delivery at larger distances.
3Measurement precision
If frequent beaconing signals are used to track moving clients, then phase tracking accuracy is improved, but system complexity increases
Solution Approach 1:
The system performs phase predictions in advance during beacon cycles, storing predictive phase values for use during power transmission. This preliminary calculation reduces the need for continuous complex real-time processing during actual power delivery, as the phase compensation values are pre-computed based on beacon signal measurements. The predictive approach maintains high phase tracking accuracy while reducing instantaneous computational complexity.
Solution Approach 2:
The system creates a predictive model of client position and phase based on historical beacon signal data. Instead of continuously processing raw beacon signals in real-time, the system generates predictive phase copies that represent the expected phase values during power transmission. This copying approach simplifies real-time processing while maintaining accurate phase tracking for moving clients.
Data Source
AI summary
Systems and methods are described for receiving wireless power and providing wired power. In some embodiments, a predictive phase estimation apparatus comprises a transceiver module configured to receive a plurality of beaconing signals from a wireless client during a beacon cycle. The predictive phase estimation apparatus also comprises a phase compensation module configured to store the received plurality of beaconing signals, a phase predictor module is coupled to the transceiver module and configured to calculate predictive phases based on the received plurality of beaconing signals and based on beaconing signals received from the wireless client prior to the beacon cycle, and a signal converter coupled to the transceiver module. The signal converter is configured to form transmission signals based on the predictive phases and supply the transmission signals to the transceiver module. The transceiver module also transmits the transmission signals for delivery of wireless power to the wireless client.