Battery Measurement Data Backup for Pre-Damage Event Analysis
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Solution Overview
Problem
Energy storage systems, such as battery arrangements for vehicles, are vulnerable to hazardous events that can cause damage, leading to the loss of critical measurement data necessary for analysis and root cause determination.
Innovation Solution
A computer system and battery management system are configured to detect potential battery damage and prioritize and store a subset of critical measurement data at a location unaffected by the impending damage, either remotely or at a safe distance from the affected area, ensuring robust data availability for analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If measurement data is stored in the energy storage system, then data availability for analysis is improved, but data loss risk increases when battery damage occurs
Solution Approach 1:
The patent extracts critical measurement data from the energy storage system's internal memory and transfers it to external storage devices or remote servers. This separation ensures that data is preserved even when the battery system suffers damage, directly resolving the contradiction between data availability and data loss risk.
Solution Approach 2:
The system performs preliminary data backup before battery damage can occur. By continuously or periodically transferring measurement data to external storage locations in advance, the system ensures data is already safeguarded when hazardous events happen, preventing data loss while maintaining reliability.
2Loss of information
If all measurement data is stored, then complete analysis capability is improved, but storage resource consumption increases
Solution Approach 1:
The patent applies different storage strategies to different types of measurement data based on their criticality. Critical data related to hazardous events is prioritized for backup and transferred to external storage, while less critical data remains in internal memory. This selective approach maintains analysis completeness for important events while conserving storage resources.
Solution Approach 2:
Instead of backing up all measurement data equally, the system performs partial backup focusing on the most critical subsets of data. This partial action approach ensures that sufficient data is available for meaningful analysis of battery events without the excessive resource consumption of complete data duplication.
3Speed
If data is stored locally in the battery system, then data access speed is improved, but vulnerability to battery damage increases
Solution Approach 1:
The patent segments the data storage architecture into multiple levels: fast local internal memory for immediate access, intermediate external storage devices for moderate protection, and remote servers for maximum safety. This segmentation allows the system to maintain fast local access for operational data while distributing copies to protected locations to mitigate battery damage impact.
Solution Approach 2:
The system introduces external storage devices and communication interfaces as intermediaries between the battery system and final data repositories. These intermediaries enable rapid data extraction during hazardous events, serving as a buffer that protects against direct damage to both the battery and critical measurement data.
4Reliability
If data backup is performed continuously, then data safety is improved, but energy consumption and processing load increase
Solution Approach 1:
The patent implements periodic data backup instead of continuous backup, triggering data transfer operations at scheduled intervals or based on specific events. This periodic approach maintains data safety by ensuring regular updates of backed-up data while significantly reducing energy consumption and processing load compared to continuous operations.
Solution Approach 2:
The system prepares for potential battery failures by implementing proactive data backup strategies that activate under specific conditions (e.g., detected anomalies, scheduled intervals) rather than continuously. This preliminary anti-action approach safeguards data against future damage events while minimizing unnecessary energy expenditure during normal operation.
Data Source
AI summary
An energy storage system has a collection of one or more battery modules and a battery management system associated with the collection of battery modules. The battery management system is detects a battery event which indicates potential upcoming damage for the collection of battery modules. The battery management system also selects—based on a type of the battery event (e.g., temperature event, electrical event, chemical event)—a sub-set of measurement data from a set of available measurement data relating to the collection of battery modules, and causes the selected sub-set of measurement data to be stored at a storing location which is unaffected by the potential upcoming battery damage for the collection of battery modules.