Adaptive Acoustic Probe Signals for Electrochemical Fault Detection
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Solution Overview
Problem
Existing methods for monitoring electrochemical systems, such as batteries, fail to consider the specific characteristics of each system and do not account for changes over time, leading to a loss of relevant information and limited detection capabilities.
Innovation Solution
A method for determining a probe signal that adapts to the specific electrochemical system, involving a calibration signal with multiple frequencies, attenuation factor analysis, and correction factors to create a probe signal that accounts for system changes and anomalies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If arbitrary parameters are chosen for incident acoustic signals, then the monitoring method can be implemented, but relevant information is lost and detection precision is reduced
Solution Approach 1:
The patent applies preliminary action by performing a calibration step before actual monitoring. A calibration signal is transmitted through the battery to measure attenuation factors at different frequencies, and correction factors are calculated in advance. These pre-determined parameters are then used to optimize subsequent monitoring signals, ensuring optimal detection precision without losing relevant information.
Solution Approach 2:
The patent implements parameter changes by dynamically adjusting the frequency spectrum of incident acoustic signals based on measured attenuation characteristics. Correction factors derived from calibration data are used to modify signal parameters (amplitude distribution across frequencies) to compensate for frequency-dependent attenuation in the specific battery, thereby optimizing information retrieval and detection precision.
2Productivity
If pulse signals of short duration are used, then the monitoring process is quick, but a stationary regime cannot be established limiting analysis capacity
Solution Approach 1:
The patent applies periodic action by using continuous or periodically repeated acoustic signals instead of single short pulses. This allows the system to establish a stationary regime where consistent attenuation patterns can be measured and analyzed. The periodic nature of the signals enables robust statistical analysis while maintaining efficient monitoring throughput through automated measurement cycles.
3Device complexity
If monitoring methods consider only independent operating indicators, then implementation is simple, but not all information in acoustic signals is utilized
Solution Approach 1:
The patent applies segmentation by dividing the acoustic signal analysis into distinct frequency components. Instead of treating the signal as a single independent indicator, the method segments the frequency spectrum and measures attenuation at multiple frequencies independently. This allows comprehensive utilization of information across the entire frequency range while maintaining manageable complexity through systematic processing of individual frequency components.
Solution Approach 2:
The patent implements universality by creating a monitoring method that can extract multiple types of information from a single acoustic measurement campaign. The same calibration and measurement procedure provides attenuation characteristics across frequencies, enabling detection of various battery conditions (electrolyte changes, structural variations, aging) simultaneously, thereby maximizing information utilization without proportionally increasing complexity.
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 method enables precise detection of faults and aging in electrochemical systems by ensuring a stationary regime and considering system-specific parameters, improving monitoring and management efficiency.
Implementation Method 1
a step of transmitting a first signal, called the calibration signal, comprising a wave train of multiple frequencies
Implementation Method 2
a step of determining, on the basis of the received response and for each frequency of the calibration signal, a signal attenuation factor
Data Source
AI summary
A method for determining a probe signal for acoustically interrogating an electrochemical system, the method including transmitting a first signal, called the calibration signal, including a wave train of multiple frequencies, the spectral density associated with each frequency being identical; receiving the response of the electrochemical system to the calibration signal; determining, on the basis of the received response and for each frequency of the calibration signal, a signal attenuation factor; determining, for each attenuation factor, a correction factor according to the attenuation factor so as to associate a correction factor with each frequency of the calibration signal; and determining the probe signal, the probe signal being obtained by multiplying the spectral density associated with each frequency of the calibration signal by the correction factor corresponding to the frequency in question.