Wireless Power Efficiency Prediction via Digital Ping
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Solution Overview
Problem
Wireless power transmission systems face challenges in predicting wireless power transfer efficiency during normal operations, leading to potential foreign object detection and alignment issues, which can result in inefficient charging or failure to initiate charging processes.
Innovation Solution
The system performs digital ping operations to gather data on rectifier output voltage and wireless power transfer efficiency, using established relationships to predict normal operation efficiency and decide whether to enter normal power transmission, thereby detecting foreign objects and misalignment early and ensuring efficient charging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If digital ping operations are performed to gather operating state information, then foreign object detection and alignment detection capabilities are improved, but system complexity and processing requirements increase
Solution Approach 1:
The system performs digital ping operations before normal power transmission to gather operating state information including rectifier output voltage, inverter input voltage, and wireless power transfer efficiency. These preliminary measurements enable foreign object detection and alignment detection before full power transmission begins, improving safety and reliability without requiring complex additional hardware.
Solution Approach 2:
The patent uses digital ping operations as an intermediary step between system initialization and normal power transmission. During this intermediate phase, low-power wireless power signals are transmitted and operating state information is gathered, allowing the system to assess conditions (foreign objects, alignment) before committing to full power transmission.
2Loss of energy
If efficiency prediction models are implemented using digital ping data, then power transmission efficiency is improved, but processing time and computational requirements increase
Solution Approach 1:
The system performs efficiency prediction during the digital ping phase using established relationships between digital ping rectifier output voltage and wireless power transfer efficiency, and between digital ping efficiency and normal operation efficiency. This preliminary efficiency assessment allows the system to predict performance before full power transmission, avoiding wasted energy on inefficient charging sessions.
Solution Approach 2:
The patent implements feedback mechanisms where operating state information gathered during digital ping operations (rectifier output voltage, inverter input voltage, measured efficiency) is fed into prediction models. These models use established relationships to predict normal operation efficiency, providing feedback that determines whether to proceed with or abort power transmission, thereby optimizing energy efficiency.
3Loss of energy
If the system aborts power transmission based on predicted efficiency, then energy waste is reduced, but user convenience and charging availability decrease
Solution Approach 1:
The system uses feedback from predicted efficiency values to make informed decisions about whether to proceed with power transmission. When predicted efficiency indicates potential energy waste (due to foreign objects or misalignment), the system aborts transmission. This feedback mechanism balances energy conservation with user convenience by only aborting when necessary.
Solution Approach 2:
The digital ping operation serves as an intermediary assessment phase that evaluates whether conditions are suitable for power transmission. This intermediate check prevents both energy waste (by aborting when conditions are poor) and unnecessary interruptions (by allowing transmission when conditions are good), thereby maintaining user convenience while reducing energy waste.
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 early detection of foreign objects and coil misalignment, ensuring timely alerts and optimal wireless power transfer efficiency, preventing inefficient charging and user inconvenience.
Implementation Method 1
a wireless power transmitting device such as a charging mat or charging puck wirelessly transmits power to a wireless power receiving device
Implementation Method 2
The coil of the portable electronic device receives alternating-current wireless power signals from the wireless charging mat
Implementation Method 3
The rectifier circuitry converts the received signals into direct-current power
Data Source
AI summary
A wireless power system has a wireless power transmitting device and a wireless power receiving device. During digital ping operations while the transmitting device and receiving device negotiate to establish a power level to use during normal operation, low-power wireless power signals may be transmitted to the receiving device from the wireless power transmitting device. Information gathered during the digital ping may be evaluated using a wireless-power-transmission-efficiency-to-digital-ping-rectifier-output-voltage relationship and using a normal-operation-wireless-power-transmission-efficiency-to-digital-ping-wireless-power-transmission-efficiency relationship to predict a wireless power transmission efficiency that would be experienced if the system were to enter normal operation. Based on this efficiency prediction, the system can issue alerts and can decide whether or not to enter normal operation.