Smart Wireless Charging Power Allocation
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Solution Overview
Problem
Existing wireless charging systems are not optimized for efficient charging, leading to incomplete or delayed charging of mobile devices due to congestion and limited capacity, especially when multiple devices are connected, resulting in a suboptimal user experience.
Innovation Solution
A smart wireless charging system that allocates power based on charge requests and policies, prioritizing devices with critical applications, loyalty members, or specific user groups, using magnetic resonance technology to ensure efficient and rapid charging by reallocating power from lesser priority devices to higher priority ones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If power is distributed equally to all connected mobile devices, then charging fairness is maintained, but charging efficiency and user experience deteriorate due to congestion and limited capacity
Solution Approach 1:
The patent implements differentiated power allocation where different mobile devices receive different power levels based on their priority status. High priority devices (e.g., those with critical applications or belonging to loyalty members) receive maximum power allocation, while low priority devices receive reduced power. This local quality differentiation resolves the contradiction by allowing unequal treatment of devices based on their specific needs and user definitions, thereby improving overall charging efficiency without completely sacrificing fairness through transparent priority-based distribution.
Solution Approach 2:
The system dynamically adjusts power allocation in real-time based on changing conditions such as device priority status, available charging capacity, and user-defined policies. The charge program module continuously monitors and modifies power distribution to high and low priority devices as conditions change, enabling the system to adapt to congestion and capacity limitations while maintaining optimal charging efficiency for critical devices.
2Adaptability or versatility
If charging capacity is increased to serve multiple devices simultaneously, then user convenience is improved, but system complexity and power management difficulty increase
Solution Approach 1:
The patent segments the charging system into distinct functional modules: a charge request module that receives requests from multiple devices, a charge program module that determines priority and allocates power, and a wireless charging module that executes charging. This segmentation of the power management function into specialized modules reduces overall system complexity by assigning specific tasks to each module, enabling the system to handle multiple devices simultaneously without becoming unmanageably complex.
Solution Approach 2:
The charge program module acts as an intermediary between the charge requests from multiple devices and the actual power distribution. It receives charging requests, determines device priorities based on user-defined criteria, and mediates the allocation of limited charging capacity among competing devices. This intermediary layer simplifies power management by centralizing decision-making logic and automating priority-based distribution, reducing the complexity that would otherwise arise from managing multiple devices simultaneously.
3Speed
If power is reallocated dynamically based on priority, then charging speed for critical devices is improved, but system control complexity increases
Solution Approach 1:
The system implements feedback mechanisms where the charge program module continuously monitors device status, charging progress, and available capacity, then adjusts power allocation accordingly. High priority devices receive increased power when capacity is available, while low priority devices have their power reduced or suspended when congestion occurs. This feedback-based dynamic control enables fast charging for critical devices while maintaining manageable system complexity through automated decision-making based on predefined priority criteria and real-time 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
The system optimizes charging capacity by prioritizing critical devices, ensuring they are fully charged quickly, while maintaining efficient charging of all connected devices, thereby enhancing user experience and maximizing available charging capacity.
Implementation Method 1
using magnetic resonance technology to ensure efficient and rapid charging
Data Source
AI summary
Systems and methods for power distribution allocation are provided. A system may establish a first wireless connection between the system and a first mobile device. The system may receive a first charge request from the first mobile device comprising first mobile device information, and may identify charging system policies based at least in part on the first charge request. The system may determine a first charge program for the first mobile device based at least in part on the first charge request and the one or more charging system policies, where the first charge program comprises a power allocation of the first mobile device with respect to other mobile devices connected to the charging system. The system may wirelessly charge the first mobile device, based at least in part on the first charge program.