Energy Storage Measurement Screening for Odd-Device Detection
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Solution Overview
Problem
Existing methods for state diagnosis, estimation, and life prediction of energy storage devices suffer from inaccuracies due to variations in device properties and environmental factors, leading to errors when integrating new or differently aged devices into a system.
Innovation Solution
A data processor and method that utilizes a determination model to identify and exclude measurement data from odd energy storage devices, improving accuracy by processing data from devices with similar characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a plurality of applications are operated in an environment where resources are shared among the applications, then resource utilization is improved, but security between applications deteriorates due to potential contamination through shared resources
Solution Approach 1:
The patent divides the shared resource access into segmented paths by introducing virtual file systems for each application. Each application operates within its own virtual file system namespace, which segments the resource access paths while maintaining shared underlying storage. This segmentation prevents direct contamination between applications while preserving resource sharing capabilities.
Solution Approach 2:
The patent introduces virtual file systems as intermediary layers between applications and shared resources. These virtual file systems act as mediators that translate application-specific path requests into standardized access operations on shared resources. The intermediaries enable secure resource sharing by controlling and monitoring all access paths without exposing direct resource references to applications.
2Productivity
If path information is managed in a unified manner across applications, then resource sharing is improved, but security control deteriorates due to inability to isolate application-specific access paths
Solution Approach 1:
The patent applies local quality by providing customized virtual file system configurations for each application based on its specific security requirements. Each application's virtual file system can have tailored path mappings, access controls, and isolation levels. This allows security control to be customized locally for each application while maintaining unified resource management at the system level.
Solution Approach 2:
The patent segments path information management by creating application-specific virtual file system namespaces that logically divide the unified resource space. Each namespace maintains its own path structure and access rules, enabling independent security control for each application while the underlying storage remains unified and shared across all applications.
3Adaptability or versatility
If virtual memory is expanded to provide larger address space, then application capability is improved, but system resource consumption deteriorates due to increased memory management overhead
Solution Approach 1:
The patent uses copying by creating virtual copies of file system paths and structures for each application rather than duplicating actual resource data. The virtual file systems maintain references to shared underlying resources, allowing multiple applications to access the same physical resources through different virtual path representations. This copying approach expands application capability without proportionally increasing actual resource consumption.
Solution Approach 2:
The patent implements nesting by placing virtual file system layers within the application address space, which themselves contain references to shared underlying resources. This nested structure allows virtual memory expansion through layered abstraction without requiring proportional increases in physical memory resources. The nested virtual layers provide expanded addressing capability while sharing the same physical resource base.
Data Source
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AI summary
A data processor processes measurement data for an energy storage device and includes: a storage part that stores a determination model learned to output a score, which corresponds to whether or not measurement data of an odd energy storage device are included in measurement data measured for each energy storage device or for each energy storage device group grouped from a plurality of the energy storage devices, when the measurement data is input; and a determination part that determines measurement data of an odd energy storage device on a basis of a score output by inputting the acquired measurement data into the determination model.