Battery Impedance Detection Under Charging and Load Interference
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Solution Overview
Problem
Existing electrochemical impedance spectroscopy (EIS) detection methods are static and cannot be performed in scenarios with load interference, such as when a battery is charging or discharging, posing a safety risk due to the inability to detect potential faults like short circuits, lithium metal deposition, and overtemperature.
Innovation Solution
A battery impedance detection apparatus that utilizes first and second code transformations to generate and process signals, allowing EIS detection in the presence of load interference by eliminating interference signals, enabling detection during charging or discharging states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static EIS detection method is used, then detection precision is maintained, but detection cannot be performed in scenarios with load interference
Solution Approach 1:
The patent applies dynamics by transitioning from static EIS detection to dynamic detection during battery charging/discharging operations. The system continuously injects excitation signals and measures impedance responses in real-time, enabling the detection to adapt to varying load conditions while maintaining measurement accuracy through active signal processing that separates EIS signals from load interference.
Solution Approach 2:
The patent uses an intermediary approach by introducing a dedicated signal processing system that acts as a mediator between the excitation signal and the measured response. The processing system includes components to inject excitation signals, acquire voltage/current data, and computationally separate the EIS response from load interference through signal processing algorithms, enabling accurate measurement despite presence of interfering loads.
2Adaptability or versatility
If EIS detection is performed during charging/discharging, then detection versatility is improved, but interference current affects measurement precision
Solution Approach 1:
The patent applies the extraction principle by isolating the EIS signal components from the total measured signal that contains load interference. The system extracts the excitation signal response by using signal processing techniques that separate the frequency components of the EIS measurement from the interference current, allowing precise impedance calculation even during dynamic battery operation.
Solution Approach 2:
The patent utilizes parameter changes by adjusting the excitation signal characteristics and measurement parameters to optimize detection during varying battery states. The system modifies signal injection parameters, measurement frequencies, and processing algorithms based on the battery's operational state, enabling maintained precision across different charging/discharging conditions.
3Object-affected harmful factors
If code transformation is applied to eliminate interference, then anti-interference capability is improved, but device complexity increases
Solution Approach 1:
The patent replaces complex hardware shielding and isolation mechanisms with computational signal processing methods. Instead of using physical means to block interference, the system uses code transformations and digital signal processing algorithms to eliminate interference electronically, reducing hardware complexity while maintaining or improving anti-interference capability through software-based solutions.
Data Source
AI summary
A battery impedance detection apparatus is provided, and the apparatus includes: a first processing module (501), configured to: perform first code transformation on a first signal based on a preset code, to obtain an excitation signal, and apply the excitation signal to a battery, where the first signal is an original signal used to generate the excitation signal; a sampler (502), coupled to the battery, and configured to sample a voltage of the battery after the excitation signal is applied to the battery, to obtain a sampled voltage signal; and a second processing module (503), configured to: perform second code transformation on the sampled voltage signal based on the preset code, to obtain a first voltage signal; perform the second code transformation on a current signal of the battery based on the preset code, to obtain a first current signal; and determine, based on the first voltage signal and the first current signal, impedance corresponding to the battery. According to the foregoing method, EIS detection can be implemented when the battery is in a charging state or the battery is in a load discharging state.