Nonlinear System Identification for Wireless Power Transfer Optimization
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Solution Overview
Problem
Existing wireless power transfer systems face challenges in efficiently detecting the presence of receiver coils and maintaining optimal power transfer as coils move relative to each other, due to frequency splitting and nonlinearities in the system, which affect power transfer efficiency and safety when foreign objects are present.
Innovation Solution
The system employs nonlinear system identification techniques, using pseudo-random signals to generate dynamic system models that help detect receiver coils, adjust frequencies, and identify optimal waveforms for power transfer, while also detecting foreign objects by analyzing changes in coil dynamics and impedance spectra.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional detection methods are used to detect receiver coils, then the system structure remains simple, but detection efficiency and accuracy deteriorate
Solution Approach 1:
The patent replaces conventional simple detection methods with nonlinear system identification techniques that use pseudo-random signals and dynamic system modeling. This substitution enables accurate detection of receiver coils by analyzing impedance spectra and system responses, achieving high detection precision through signal processing rather than complex hardware modifications.
Solution Approach 2:
The patent changes the detection approach by applying pseudo-random signals across frequency ranges and analyzing the dynamic response of the system. By varying signal parameters and observing impedance changes, the system can accurately detect receiver coils and distinguish them from foreign objects, improving measurement precision through parameter variation.
2Productivity
If frequency adjustment is not performed, then system operation remains simple, but power transfer efficiency deteriorates due to frequency splitting
Solution Approach 1:
The patent implements feedback by continuously monitoring the system's impedance spectra and dynamic responses. Based on this feedback, the system automatically adjusts the operating frequency to maintain optimal power transfer conditions, resolving frequency splitting issues and maximizing productivity through closed-loop control.
Solution Approach 2:
The patent applies dynamics by making the operating frequency adjustable and adaptive rather than fixed. The system dynamically changes frequency based on detected receiver coil positions and system conditions, enabling optimal power transfer efficiency while managing the complexity through software-based frequency control.
3Reliability
If foreign object detection is not implemented, then system operation remains simple, but safety deteriorates when foreign objects are present
Solution Approach 1:
The patent uses nonlinear system identification and impedance spectrum analysis to detect foreign objects, replacing the need for separate dedicated detection hardware. By analyzing changes in system dynamics and impedance characteristics, the system achieves reliable foreign object detection while managing complexity through signal processing techniques.
4Productivity
If optimal waveform selection is not performed, then system operation remains simple, but power transfer efficiency deteriorates
Solution Approach 1:
The patent optimizes power transfer by varying waveform parameters based on system conditions. Through nonlinear system identification, the system determines optimal waveforms that maximize power transfer efficiency, achieving improved productivity while managing waveform control complexity through adaptive parameter adjustment.
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 efficient and automatic detection of receiver coils, optimal power transfer frequency adjustment, and foreign object detection, enhancing the reliability and safety of wireless power transfer systems.
Implementation Method 1
power is transmitted from coil to coil through magnetic fields
Implementation Method 2
power is transmitted from coil to coil through magnetic fields
Implementation Method 3
applying a pseudo-random voltage signal to the transmit coil; while the pseudo-random voltage signal is being applied to the transmit coil, recording the voltage and current of the transmit coil
Data Source
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AI summary
A method of detecting whether a receiver coil is near a transmit coil in a wireless power transfer system (WPTS), the method involving: applying a pseudo-random signal to the transmit coil; while the pseudo-random signal is being applied to the transmit coil, recording one or more signals produced within the WPTS in response to the applied pseudo-random signal; by using the one or more recorded signals, generating a dynamic system model for some aspect of the WPTS; and using the generated dynamic system model in combination with stored training data to determine whether an object having characteristics distinguishing the object as a receiver coil is near the transmit coil.