Wireless Charging Beamforming for IoT Device Priority Control
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Solution Overview
Problem
Existing wireless charging systems lack the ability to autonomously detect and prioritize devices within a predefined space based on their battery charge levels and user needs, leading to inefficient energy distribution and potential disruptions in critical device functionality.
Innovation Solution
An autonomous wireless device charge management system that continuously detects devices, generates a floor plan, assigns priorities based on device type, battery level, and user characteristics, and adjusts beamforming to focus charging on high-priority devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wireless charging systems charge all devices simultaneously in a predefined space, then all devices receive power, but energy distribution becomes inefficient and critical devices may not receive priority power
Solution Approach 1:
The system applies different charging priorities and energy allocation to different devices based on their specific needs, device type, and battery status. Each device receives customized charging treatment rather than uniform power distribution, with critical devices receiving higher priority energy allocation.
Solution Approach 2:
The system continuously monitors battery charge levels, device types, and charging status of all devices in the predefined space. Based on this real-time feedback, the system dynamically adjusts beamforming patterns and energy distribution to ensure critical devices receive priority power while maintaining overall energy efficiency.
2Reliability
If the system implements autonomous device detection and priority assignment, then critical devices receive prioritized charging, but the system complexity increases
Solution Approach 1:
Devices automatically register themselves with the wireless charging system by providing device information and charging requirements. The system autonomously detects devices within the predefined space and assigns priorities without requiring manual user configuration, reducing the perceived complexity for users.
Solution Approach 2:
The system pre-configures priority assignment rules and device classification criteria before operation. Device types, battery thresholds, and priority levels are established in advance, allowing the system to quickly process new devices and assign priorities without complex real-time decision-making.
3Use of energy by moving object
If the system uses beamforming to focus charging on specific devices, then energy efficiency improves, but the ability to serve multiple devices simultaneously decreases
Solution Approach 1:
The system divides the predefined space into multiple beamforming zones and time slots. High-priority devices receive focused beamforming energy in dedicated time slots, while lower-priority devices are charged in subsequent slots or with reduced power, allowing the system to maintain high charging efficiency for critical devices while still serving multiple devices overall.
Solution Approach 2:
The beamforming patterns and energy allocation are dynamically adjusted based on real-time device priorities and charging status. The system can switch between different beamforming configurations to serve different devices at different times, optimizing both charging efficiency and the number of devices served simultaneously.
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
Ensures efficient and prioritized wireless charging of devices, ensuring critical devices receive power first and maintaining optimal battery levels, enhancing device availability and user experience.
Implementation Method 1
Typically, wirelessly charged devices utilize electromagnetic fields to transfer energy from a charging pad or charging mat to a nearby device
Implementation Method 2
generating a charging beamform pattern in the preconfigured space based on the assigned priority and the generated floor plan
Data Source
AI summary
According to one embodiment, a method, computer system, and computer program product for autonomous wireless device charge management is provided. The embodiment may include detecting a plurality of devices within a predefined space. The embodiment may also include assigning a priority to each detected device based on the battery charge level, a wireless charging capability, a class or type, and one or more characteristics of each detected device. The embodiment may further include generating a floor plan of the predefined space. The embodiment may also include assigning a priority to each detected device based on the battery charge level and the wireless charging capability of each detected device. The embodiment may further include generating a charging beamform pattern in the preconfigured space based on the assigned priority and the generated floor plan.