Wireless Power Transfer Controller Grouping Overlapping Coils
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Solution Overview
Problem
In wireless power transfer systems with multiple power sources and receivers, calculating optimized phases and intensities becomes complex and time-consuming, potentially leading to suboptimal power transfer and delaying practical implementations, especially when power transfer ranges overlap.
Innovation Solution
A wireless power transfer system with an entire controller that adjusts and controls the phases and intensities of multiple power sources to optimize power transfer, forming power transfer groups by stopping overlapping power sources and designating a master power source to manage slave sources, thereby simplifying calculations and improving efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple power sources are used to cover overlapping power transfer ranges, then power transfer adaptability is improved, but calculation complexity and processing time increase
Solution Approach 1:
The system segments the multiple power sources into groups based on their power transfer ranges and the positions of power receivers. By dividing the complex multi-source optimization problem into smaller grouped optimization problems, the calculation complexity is reduced while maintaining the ability to serve multiple receivers across overlapping ranges.
Solution Approach 2:
The system dynamically determines which power sources to activate and how to optimize their parameters based on the real-time positions of power receivers. This dynamic approach allows the system to adapt to changing conditions without always utilizing all power sources, thereby reducing calculation burden while maintaining adaptability.
2Loss of energy
If multiple power sources are optimized simultaneously, then power transfer efficiency is improved, but processing time becomes excessively long
Solution Approach 1:
The optimization process is segmented by grouping power sources according to their spatial relationships and the positions of power receivers. This allows the system to optimize parameters for each group separately rather than simultaneously optimizing all power sources together, reducing processing time while maintaining overall efficiency.
Solution Approach 2:
The system applies partial optimization by selecting and optimizing only the necessary subset of power sources for each power receiver or group of receivers, rather than optimizing all power sources in the system. This partial action approach reduces processing time while achieving sufficient power transfer efficiency.
3Reliability
If all power sources are activated to ensure complete coverage, then power transfer reliability is improved, but system complexity and resource consumption increase
Solution Approach 1:
The system dynamically determines the optimal set of active power sources based on the positions of power receivers and the overlapping characteristics of power transfer ranges. This dynamic selection ensures reliable power transfer by activating only the necessary power sources, avoiding the complexity of managing all power sources continuously.
Solution Approach 2:
The control device autonomously determines which power sources to activate and how to optimize their parameters based on the spatial distribution of power receivers. This self-service capability allows the system to maintain reliability without requiring external intervention or complex manual configuration.
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 reduces processing time and resources required for calculations, ensuring optimal power transfer and enabling efficient wireless power transfer even with multiple power sources and receivers, thus overcoming the complexity of overlapping power transfer ranges.
Implementation Method 1
a strong coupling wireless power transfer technology uses four procedures of electromagnetic induction, magnetic field resonance, electric field induction, and electric field resonance
Implementation Method 2
techniques using magnetic field resonance and electric field resonance as techniques being capable of transferring power to a plurality of power receivers while placing each power receiver at a certain distance from a power source
Implementation Method 3
a strong coupling wireless power transfer technology uses four procedures of electromagnetic induction, magnetic field resonance, electric field induction, and electric field resonance
Implementation Method 4
a strong coupling wireless power transfer technology uses four procedures of electromagnetic induction, magnetic field resonance, electric field induction, and electric field resonance
Data Source
AI summary
A wireless power transfer system including a plurality of power supply coils, and wirelessly performing power transfer from the power supply coils to a power receiver, includes an entire controller. The entire controller is configured to control the power transfer performed by wirelessly transmitting and receiving powers of the power supply coils and the power receiver, in accordance with confirming power transfer ranges of the plurality of power supply coils.