Wireless Charging Efficiency Optimization via Adaptive Feedback
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Solution Overview
Problem
Current wireless charging systems face limitations in achieving optimal charging efficiency due to reliance on hardware components and slow convergence times in software-based optimization methods, leading to energy wastage and potential health risks from electromagnetic radiation.
Innovation Solution
An adaptive efficiency optimization method that involves determining real power transfer in a wireless charging system, transmitting this information between coils, and adjusting input power to align with expected power levels, utilizing both Bluetooth Low Energy and power-line communication for rapid tuning and stability monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If hardware approach with high efficiency components is used, then charging efficiency is improved, but cost and device complexity increase
Solution Approach 1:
The patent implements a feedback mechanism where the receiver measures real power transfer and sends measurements back to the transmitter, which then adjusts input power accordingly. This closed-loop control enables efficiency optimization through software-based adaptive tuning rather than relying on expensive hardware components, resolving the contradiction between improving charging efficiency and reducing device complexity
Solution Approach 2:
The system dynamically changes the input power parameter based on real-time efficiency measurements and feedback. By adjusting the input power level adaptively, the system optimizes charging efficiency without requiring complex hardware modifications, thus improving efficiency while maintaining simple device architecture
2Loss of energy
If BLE feedback packet mechanism is used, then power transmitter can calculate current efficiency, but convergence time is long
Solution Approach 1:
The patent performs preliminary measurements of real power transfer at the receiver side before transmitting efficiency data back to the transmitter. By pre-calculating and preparing efficiency information at the receiver, the system reduces the processing time required at the transmitter and accelerates the overall convergence speed of the efficiency optimization process
Solution Approach 2:
The patent introduces an intermediary measurement mechanism where the receiver acts as a mediator that measures real power transfer and communicates efficiency information to the transmitter. This intermediary approach enables faster efficiency calculation compared to transmitter-side measurements, thereby reducing convergence time while maintaining accurate efficiency optimization
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 enables faster convergence to optimal charging efficiency, reducing energy wastage and electromagnetic radiation, while maintaining stable output power and minimizing circuit costs by leveraging software-based optimization.
Implementation Method 1
a power transmitter, by using a transmitter-side coil wirelessly coupled to a receiver-side coil of a power receiver
Data Source
AI summary
A method for adaptively optimizing wireless charging efficiency is disclosed. The method may comprise providing an input power to a power transmitter, the power transmitter comprising a transmitter-side coil wirelessly coupled to a receiver-side coil of a power receiver, determining, at the power receiver, a real power transferred from the power transmitter, transmitting information associated with the determined real power to the power transmitter through the coupling between the receiver-side coil and the transmitter-side coil, and adjusting, at the power transmitter, the input power in response to determining, according to the transmitted information, that the real power differs from an expected power corresponding to the input power by over a first threshold, causing the real power to tune towards the expected power.