Battery Full-Cell Profiling With Overpotential Noise Correction
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Solution Overview
Problem
Existing battery diagnosis methods using high electric stimulation suffer from inaccurate results due to overpotential noise, leading to prolonged diagnosis times and discrepancies between diagnosed and actual charge/discharge performance.
Innovation Solution
A battery diagnosis apparatus and method that applies high electric stimulation to obtain charge/discharge information, removes overpotential noise using a machine learning-based factor correction model, and generates an estimated full-cell profile for accurate diagnosis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If high electric stimulation is applied to the battery to obtain charge/discharge information, then diagnosis time is reduced, but overpotential noise increases causing inaccurate diagnosis results
Solution Approach 1:
The patent segments the diagnosis process into two distinct phases: (1) acquiring charge/discharge information using high electric stimulation to reduce time, and (2) separately measuring and removing overpotential noise through incremental capacity analysis. This segmentation allows the system to benefit from both high stimulation speed and accurate noise-free measurement.
Solution Approach 2:
The patent extracts and removes the harmful overpotential component from the charge/discharge information. By performing incremental capacity analysis and comparing with reference data, the system identifies and eliminates overpotential noise, retaining only the useful charge/discharge performance information.
2Measurement precision
If low electric stimulation is applied to the battery to obtain charge/discharge information, then diagnosis accuracy is improved, but diagnosis time increases
Solution Approach 1:
The patent performs preliminary measurements of overpotential characteristics using low electric stimulation before the actual high-speed diagnosis. These preliminary results are stored as reference data that enable accurate overpotential removal during subsequent high-stimulation diagnosis, eliminating the need to repeat slow measurements each time.
Solution Approach 2:
The patent creates a reference copy of the battery's charge/discharge profile obtained under low electric stimulation conditions. This reference profile is then used to correct and enhance the quality of data obtained during high electric stimulation diagnosis, allowing accurate results without the time penalty of always using low stimulation.
Data Source
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AI summary
Provided is a battery diagnosis apparatus and a battery diagnosis method. The battery diagnosis apparatus includes a data obtaining unit configured to obtain a first target full-cell profile representing a correspondence between a capacity factor and a voltage of a target cell while a first electric stimulation is being applied to the target cell, and a control circuit configured to generate an estimated full-cell profile based on the first target full-cell profile and an overpotential profile. The control circuit determines a first performance factor group as a primary estimation result for charge/discharge performance of the target cell by applying a cell diagnosis logic to the estimated full-cell profile. The control circuit determines a second performance factor group as a secondary estimation result for the charge/discharge performance of the target cell by applying a factor correction model to the first performance factor group. The second performance factor group includes an estimation result of a negative electrode scaling factor of the target cell.