Battery Collection Prioritization for Damaged Storage Cells
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Solution Overview
Problem
Existing methods for managing battery storage do not adequately address the increased risk of storage due to damaged batteries, which can lead to ignition or leakage.
Innovation Solution
An information processing device and method that determine priorities for the collection of stored batteries based on information related to damage, such as accident history and storage duration, and output instruction information for prioritized collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If damaged batteries are stored without priority collection, then storage capacity is maximized, but safety risk increases due to potential ignition or leakage
Solution Approach 1:
The system performs preliminary assessment of battery damage status before storage, identifying damaged batteries in advance through information related to damage (accident history, storage duration). Collection priority is determined beforehand, allowing damaged batteries to be removed proactively before they can cause ignition or leakage, thus preventing harmful effects rather than responding after they occur.
Solution Approach 2:
The patent applies different collection priorities to different batteries based on their individual damage characteristics. Instead of uniform collection, the system evaluates each battery's accident history and storage duration separately, assigning high priority to batteries with longer storage durations or accident history, and lower priority to undamaged batteries. This differentiated approach optimizes safety by focusing resources on the most at-risk batteries.
2Ease of operation
If all batteries are collected equally without priority assessment, then collection process is simplified, but storage risk increases due to delayed removal of damaged batteries
Solution Approach 1:
The system introduces priority parameters (based on accident history and storage duration) to transform the collection process from a simple first-come-first-served approach to a risk-based prioritization system. By changing the assessment parameters from uniform to differentiated, the system maintains operational simplicity through automated evaluation while significantly improving safety through targeted collection of high-risk batteries.
Solution Approach 2:
The control unit automatically evaluates battery damage status and determines collection priorities without requiring manual assessment. The system uses stored information (accident history, storage duration) to self-assess which batteries need priority collection, reducing operational complexity while improving safety through consistent, data-driven decision-making.
Data Source
AI summary
The control unit of the information processing device determines priorities of collection of the plurality of stored batteries with reference to information related to damage to the plurality of batteries. Then, the control unit of the information processing device outputs instruction information for instructing collection of the plurality of batteries according to the determined priorities of collection of the plurality of batteries.


