Battery Cell Degradation Diagnosis for Multi-Phase Electrode Profiles
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional battery diagnosis methods are inaccurate for battery cells with multi-phase characteristics, leading to significant degradation in diagnostic accuracy as the multi-phase characteristic changes over time, distorting the overall electrode design.
Innovation Solution
A battery diagnosing apparatus and method that generates comparison profiles based on electrode profile maps, using a processor to determine diagnostic factors like negative electrode scale factors by comparing capacity-voltage relationships, adjusting profiles, and limiting voltage and State of Charge (SOC) ranges for precise degradation state assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional diagnostic methods are used for battery cells with multi-phase characteristics, then the diagnostic method is simple to implement, but the diagnostic accuracy degrades significantly as the battery cell degrades over time
Solution Approach 1:
The patent applies preliminary action by pre-establishing an electrode profile map containing reference profiles for multiple degradation states before actual diagnosis occurs. During battery operation, the measured full-cell profile is compared against this pre-prepared map to determine the current degradation state, eliminating the need for complex real-time analysis of multi-phase characteristics.
Solution Approach 2:
The patent utilizes parameter changes by transforming the complex multi-phase characteristic analysis into a simplified comparison of capacity-voltage relationship profiles. The electrode profile map stores reference profiles with specific capacity and voltage parameters for different degradation states, allowing accurate diagnosis through parameter matching rather than direct multi-phase analysis.
2Ease of operation
If the overall electrode design is used for diagnosis, then the diagnostic process is straightforward, but the diagnostic accuracy greatly degrades when multi-phase characteristics change over time
Solution Approach 1:
The patent applies segmentation by dividing the full-cell profile into component electrode profiles (positive electrode and negative electrode profiles) stored in the electrode profile map. This segmentation allows the diagnostic system to compare specific electrode characteristics separately, maintaining diagnostic accuracy even when multi-phase characteristics change, while keeping the overall process straightforward through automated profile matching.
3Adaptability or versatility
If conventional diagnostic methods are applied to battery cells with multi-phase characteristics, then the method works for simple battery types, but the accuracy greatly degrades for battery cells with changing multi-phase characteristics
Solution Approach 1:
The patent achieves universality by creating an electrode profile map that can store reference profiles for multiple battery types and degradation states. The same diagnostic apparatus can diagnose different battery chemistries (lithium-ion, nickel-based, etc.) by loading appropriate reference profiles, making the system universally applicable while maintaining high accuracy for each specific battery type through tailored reference data.
Data Source
Figure 1~2
Figure 3
Figure 4
AI summary
Disclosed is a battery diagnosing apparatus and a battery diagnosing method. The battery diagnosing apparatus includes a data obtaining unit configured to obtain a first profile representing a capacity-voltage relationship of a battery cell containing an active material with a multi-phase characteristic, and a processor configured to generate a plurality of comparison profiles based on a plurality of electrode profiles included in an electrode profile map. The processor is configured to select, as a second profile, one comparison profile from the plurality of comparison profiles by comparing each of the plurality of comparison profiles with the first profile, and determine a negative electrode scale factor as a diagnostic factor representing a degradation state of the battery cell based on the second profile.