Wireless Charging QoS Control for Multi-Device Priority Allocation
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Solution Overview
Problem
There is currently a lack of effective management for Quality of Service (QoS) in wireless charging of devices within a given space, particularly when there are many devices to charge with limited wireless charging signal producers.
Innovation Solution
A method, computer program product, and computer system for Quality of Service based wireless charging configuration that identifies wirelessly chargeable devices, generates a spatial plan, determines priority based on status information, and adjusts the wireless charging signal pattern accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple wirelessly chargeable devices are present within an area with limited wireless charging signal producers, then the number of devices to be charged increases, but the charging performance and Quality of Service deteriorate due to resource scarcity
Solution Approach 1:
The system dynamically changes the parameters of the wireless charging signal, including signal strength, frequency, and spatial distribution patterns. By adjusting these parameters based on device priority and spatial position, the system optimizes charging performance across multiple devices with limited signal producers, resolving the contradiction between serving more devices and maintaining reliable charging.
2Area of stationary object
If wireless charging signals are distributed uniformly across an area, then coverage is maximized, but charging efficiency decreases when device density and priority variations exist
Solution Approach 1:
The system implements non-uniform signal distribution where different regions of the charging area receive differentiated signal strength and priority treatment based on device characteristics. High-priority devices receive enhanced signal concentration while maintaining overall area coverage, thus achieving both broad coverage and high charging efficiency simultaneously.
3Ease of operation
If manual configuration of wireless charging priority is implemented, then user control increases, but system complexity and operational difficulty increase
Solution Approach 1:
The system automatically detects wirelessly chargeable devices, determines their charging priorities based on device status and spatial information, and configures signal distribution without requiring manual user input. This self-service approach provides full user control through automatic operation, eliminating configuration complexity while maintaining ease of use.
4Productivity
If automatic priority determination based on status information is implemented, then charging optimization improves, but information processing requirements and system complexity increase
Solution Approach 1:
The system continuously monitors device status information such as battery level, charging rate, and spatial position, and uses this feedback to dynamically adjust signal distribution priorities. This feedback mechanism enables automatic optimization of charging efficiency without requiring complex manual intervention, as the system self-adjusts based on real-time device conditions.
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 solution allows for efficient management of wireless charging by prioritizing devices based on their status and adjusting the charging signal pattern, ensuring optimal charging performance in crowded areas with limited charging resources.
Implementation Method 1
A transmitter at the power source converts electricity into a light beam
Implementation Method 2
the receiver on the electronic device converts the light beam back to electricity
Implementation Method 3
Wireless charging is commonly known to utilize electromagnetic induction to provide electricity to via wireless power transfer
Data Source
AI summary
Described is a method for an augmented Quality of Service (QoS) wireless charging configuration in an Internet of Things (IoT) network for managing wireless charging of devices within an area. The method can identify multiple wirelessly chargeable devices within an area and generate a spatial plan for the area with the multiple wirelessly chargeable devices. The method can further identify a position for each wirelessly chargeable device devices within the spatial plan for the area and determine priority for the identified wirelessly chargeable devices based on status information for each wirelessly chargeable device. The method can adjust a wireless charging signal pattern for the spatial plan based on the priority for the identified wirelessly chargeable devices.