Battery Module Deterioration Detection Using Attribute Frequency Analysis
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Solution Overview
Problem
Existing battery management systems struggle to identify which specific units of batteries are deteriorating within a larger battery system, leading to inefficiencies in maintenance and potential safety risks due to the large data amounts required for precise identification.
Innovation Solution
An information processing apparatus that calculates frequencies of specific attributes, such as voltage and temperature, for individual battery modules within a battery unit, allowing for efficient identification of deteriorated modules based on operation data without requiring extensive data recording.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data is recorded for each individual battery cell to identify deterioration, then measurement precision is improved, but data amount increases enormously
Solution Approach 1:
The patent segments the battery system into hierarchical levels (battery pack, module, cell) and applies different data recording strategies to each level. Individual cell data is recorded only for specific attributes (voltage, temperature) when deterioration is suspected, while other cells use aggregated data, thus reducing overall data amount while maintaining detection precision where needed
Solution Approach 2:
The patent applies local quality by differentiating data recording requirements based on battery cell status. Cells showing abnormal characteristics receive individual monitoring with detailed data recording, while normal cells use aggregated or representative data, optimizing the balance between measurement precision and data volume
2Quantity of substance
If data is aggregated in battery unit level to reduce data amount, then data amount is reduced, but ability to identify specific deteriorated cells is lost
Solution Approach 1:
The patent implements preliminary action by establishing baseline characteristics and normal operation patterns for each battery cell before deterioration occurs. This preliminary data is stored as reference information, enabling later comparison with current measurements to identify deterioration without requiring continuous individual cell monitoring
Solution Approach 2:
The patent uses battery module-level data as an intermediary between individual cell data and battery pack-level aggregated data. This intermediate level allows identification of problematic modules without requiring full individual cell data storage, balancing data amount reduction with deterioration identification capability
3Reliability
If comprehensive operation data is collected for all batteries, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent applies partial action by collecting comprehensive data only for battery cells or modules showing signs of deterioration or abnormal behavior, while using simplified monitoring for normal components. This approach maintains system reliability by focusing detailed monitoring where needed without the complexity of universal comprehensive monitoring
Data Source
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AI summary
An information processing apparatus includes a processing unit. The processing unit calculates frequencies at each of which corresponding one of a plurality of first batteries has a specific attribute based on a plurality of pieces of operation data obtained during operation of a second battery that is a battery including the plurality of first batteries each functioning as a battery, the plurality of pieces of operation data including the specific attribute and identification information for identifying the first battery having the specific attribute, the specific attribute satisfying a predetermined condition in an attribute of the plurality of first batteries. The processing unit identifies the first battery in a specific state among the plurality of first batteries, based on the frequencies.