High-Pass Filtered Electrochemical Spectroscopy for Battery Impedance
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Solution Overview
Problem
Existing battery monitoring systems face challenges in accurately characterizing battery behavior due to spectral leakage caused by low-frequency amplitude variations during charging and discharging, which affects the accuracy of impedance spectroscopy measurements.
Innovation Solution
The implementation of a high-pass filter circuit and processing circuit to generate a measurement spectrum by performing a high-pass filtering operation on the electrical signal, thereby compensating for low-frequency amplitude variations and reducing spectral leakage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional impedance spectroscopy measurement is performed without high-pass filtering, then the measurement process is simple, but spectral leakage occurs due to low-frequency amplitude variations during battery charging and discharging, reducing measurement precision
Solution Approach 1:
A high-pass filter circuit is introduced as an intermediary component between the battery and the impedance spectroscopy measurement system. This filter blocks low-frequency amplitude variations (the harmful intermediary) while allowing the impedance spectrum information to pass through, thereby eliminating spectral leakage without complicating the overall measurement architecture
Solution Approach 2:
The patent changes the frequency parameter of the measurement signal by applying high-pass filtering. This parameter change removes the low-frequency components that cause amplitude variations during charging/discharging, transforming the signal into a form suitable for accurate impedance spectroscopy while maintaining system simplicity
2Measurement precision
If high-pass filtering is applied to compensate for low-frequency amplitude variations, then spectral leakage is reduced and measurement accuracy improves, but the device complexity increases due to additional filter circuits and processing steps
Solution Approach 1:
The harmful low-frequency amplitude variations are extracted and removed from the measurement signal through high-pass filtering. By separating and eliminating only the problematic frequency components, the system achieves accurate impedance measurement without needing to redesign the entire measurement apparatus
Solution Approach 2:
The high-pass filtering is performed as a preliminary action before the impedance spectroscopy measurement. By pre-processing the signal to remove low-frequency variations, the subsequent measurement process remains simple and straightforward, avoiding the need for complex real-time processing during the actual impedance calculation
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 significantly improves the accuracy of impedance estimation by reducing spectral leakage, resulting in more precise characterization of battery behavior and state parameters like SOC and SOH.
Implementation Method 1
The high-pass filter circuit is configured to perform a high-pass filtering operation on the electrical signal or the measurement signal to generate a filtered measurement signal
Data Source
AI summary
An apparatus includes a measurement circuit, a high-pass filter circuit, and a processing circuit. The measurement circuit is configured to receive an electrical signal of a device under test (DUT) and generate a measurement signal representing the electrical signal. The high-pass filter circuit is configured to perform a high-pass filtering operation on the electrical signal or the measurement signal to generate a filtered measurement signal. The processing circuit is configured to generate a measurement spectrum of the DUT based on the filtered measurement signal.