Battery Electrode Profile Matching for Active Material State Diagnosis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies lack the ability to individually diagnose the states of multiple active materials in a battery electrode during manufacturing and use, which is necessary for optimizing energy efficiency and setting appropriate usage conditions.
Innovation Solution
A diagnosing apparatus and method that generates simulation electrode profiles based on reference active material profiles, compares them with a target electrode profile, and determines the states of active materials using weighting factors to calculate characteristic values such as capacity, composition ratio, and weight, allowing for individual diagnosis of active materials without disassembling the battery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If individual diagnosis of multiple active materials is implemented, then energy efficiency optimization is improved, but device complexity increases
Solution Approach 1:
The patent segments the electrode into multiple active material components (first to nth active materials) and diagnoses each individually. The diagnosing unit generates separate simulation electrode profiles for each active material type and compares them with the target electrode profile, enabling individual state assessment of each material component within the composite electrode structure.
Solution Approach 2:
The patent changes the diagnostic parameters by using capacity-voltage relationships as the basis for comparison. By generating simulation electrode profiles based on predetermined capacity-voltage characteristics of reference active materials and comparing these with measured target profiles, the system identifies individual active material states through parameter matching and deviation analysis.
2Ease of operation
If individual diagnosis of active materials is performed during battery use stage, then usage condition optimization is improved, but measurement precision requirements increase
Solution Approach 1:
The patent performs preliminary action by establishing predetermined capacity-voltage relationships for each active material type before actual diagnosis. Reference electrode profiles are pre-characterized and stored, allowing the diagnosing unit to quickly compare against these established benchmarks during battery operation, enabling rapid individual active material assessment without requiring complex real-time measurements.
Solution Approach 2:
The patent uses copying by creating simulation electrode profiles that replicate the expected capacity-voltage characteristics of each active material type. These simulation profiles serve as virtual models or copies of ideal active material behavior, which are then compared with actual measured electrode profiles to identify deviations and diagnose individual material states.
3Reliability
If mixing ratio changes due to battery deterioration are monitored, then reliability is improved, but difficulty of detecting and measuring increases
Solution Approach 1:
The patent segments the overall electrode diagnosis into individual active material assessments. By generating and comparing separate simulation profiles for each active material type (first to nth materials) against the target electrode profile, the system can detect changes in individual material proportions and states, enabling monitoring of mixing ratio variations caused by battery deterioration.
Solution Approach 2:
The patent implements feedback by continuously comparing simulation electrode profiles with actual measured target electrode profiles during battery operation. This comparison provides feedback information about individual active material states and mixing ratios, allowing the system to detect deterioration patterns and adjust usage conditions accordingly to maintain reliability.
Data Source
AI summary
A diagnosing apparatus, a battery manufacturing system, a battery pack, an electric vehicle and a diagnosing method are provided. The diagnosing apparatus diagnoses states of first to nth active materials included in a electrode for battery, and includes a profile obtaining unit configured to obtain a target electrode profile representing the corresponding relationship between capacity and voltage of the electrode; and a diagnosing unit configured to generate first to mth simulation electrode profiles based on predetermined first to nth reference active material profiles, individually compare the first to mth simulation electrode profiles with the target electrode profile, and diagnose the states of the first to nth active materials based on the comparative results, wherein n is a natural number of 2 or more, and m is a natural number of 2 or more.