Battery Cell Diagnosis Using Differential Peak Comparison
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Solution Overview
Problem
Existing battery diagnosis methods fail to accurately and efficiently track the condition of battery cells with mixed active materials, leading to performance degradation and safety risks due to uneven degradation of charge/discharge characteristics.
Innovation Solution
A battery diagnosis apparatus and method that utilizes a differential profile to analyze charge/discharge characteristics, identifying peak points and calculating a peak comparison value to diagnose the condition of battery cells, with the ability to limit charge/discharge based on the diagnosis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If mixed positive electrode material and mixed negative electrode material including multiple active materials are used to improve operation characteristics, then energy density and performance are improved, but degradation deviation increases rapidly due to different charge/discharge characteristics of each active material
Solution Approach 1:
The patent segments the charge/discharge characteristics analysis by identifying and analyzing peak points corresponding to different active materials separately. The differential profile is divided into multiple peak regions, each representing a specific active material's behavior. This segmentation allows independent monitoring of each material's degradation, enabling precise tracking of degradation deviation while maintaining the benefits of mixed materials.
2Ease of operation
If traditional battery diagnosis methods are used, then general battery status can be monitored, but accurate tracking of individual active material degradation in mixed material batteries is not achieved
Solution Approach 1:
The patent uses peak point identification in the differential profile as a diagnostic indicator, analogous to color changes. Each peak point represents a specific active material's characteristic signature. By monitoring changes in peak position, height, and shape, the system achieves precise degradation tracking of individual materials while maintaining operational simplicity through automated profile analysis.
3Productivity
If the number of charge/discharge cycles increases to improve productivity, then energy output increases, but capacity and output decline due to degradation
Solution Approach 1:
The patent implements a feedback mechanism by continuously monitoring the differential profile and comparing peak characteristics against reference values. This real-time feedback on degradation status allows for dynamic adjustment of charge/discharge operations, enabling the battery to maintain optimal performance longer by preventing operation in degraded states, thus extending productive cycle life.
Data Source
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AI summary
A battery diagnosis apparatus and a battery diagnosis method are disclosed. The battery diagnosis apparatus according to the present disclosure includes a data processing unit configured to acquire a differential profile indicating charge/discharge characteristics of a battery cell, a calculation unit configured to determine a peak comparison value based on a first peak point and a second peak point, wherein the first peak point and the second peak point are any two of a plurality of peak points when the plurality of peak points exist in the differential profile, and a diagnosis unit configured to diagnose a condition of the battery cell based on the peak comparison value.