Battery Log Segmentation for Use-Field Degradation Estimation
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Solution Overview
Problem
Conventional techniques fail to recognize the respective degrees of degradation of chargeable and dischargeable batteries across multiple use fields during their usage, limiting the ability to provide accurate guarantees about battery performance.
Innovation Solution
An information processing method that acquires log data and use field information, extracts specific data for each use field, estimates degradation based on trained models, and outputs the degradation degree for each field, enabling accurate recognition and comparison of battery degradation across different usage scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional techniques are used to track battery degradation, then a single overall degradation degree can be obtained, but it is impossible to recognize respective degrees of degradation in different use fields
Solution Approach 1:
The patent segments the battery's operational history into distinct use fields (e.g., vehicle use, stationary storage, charging/discharging cycles) and calculates degradation degrees separately for each segment. This is achieved by dividing the log data into multiple datasets corresponding to different use fields and applying degradation estimation to each dataset independently, thereby preserving detailed degradation information by use field while managing complexity through systematic data organization.
2Measurement precision
If detailed log data is analyzed for each use field, then precise degradation recognition is achieved, but data processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary actions by organizing and categorizing log data into distinct use field datasets before degradation analysis. By pre-segmenting the data during data collection and storage phases, the system eliminates the need for complex real-time segmentation during degradation calculation, thereby maintaining high measurement precision while reducing processing time during the actual degradation estimation phase.
3Adaptability or versatility
If multiple use fields are monitored separately, then comprehensive battery management is enabled, but the system complexity increases
Solution Approach 1:
The patent implements a universal degradation estimation framework that can handle multiple use fields (vehicle operation, stationary storage, charging, discharging) through a single integrated system. The same degradation estimation algorithm and data processing methodology are applied across all use fields, allowing the system to adapt to different battery applications without requiring separate specialized systems for each use case, thereby maintaining manageable system complexity while achieving comprehensive battery management.
Data Source
AI summary
A server acquires log data indicative of a state history of a chargeable and dischargeable battery and information indicative of a plurality of use fields of the battery associated with the log data; extracts specific log data associated with each of the use fields from the log data; estimates a degradation degree of the battery caused by use of the battery in each of the use fields on the basis of the specific log data associated with each of the use fields; and outputs each of the use fields and the degradation degree of the battery associated with each of the use fields.