Battery Storage Data Tracking for Charge-Discharge Quality Control
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Solution Overview
Problem
Energy storage devices, such as lead-acid batteries and lithium ion secondary batteries, deteriorate during storage periods when not in use, leading to reduced performance upon initial use, and existing methods fail to effectively manage and utilize these devices during storage and distribution.
Innovation Solution
A data processing system with storage assemblies and a data processor that tracks and controls the charge-discharge history of energy storage devices across multiple locations, providing quality evaluations and ensuring appropriate use through a connection box and controller system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If energy storage devices are stored for long periods before use, then they can be prepared for future deployment, but their performance deteriorates due to prolonged discharge states
Solution Approach 1:
The system performs preliminary charge-discharge actions on energy storage devices during the storage period before they are deployed. Controllers periodically charge and discharge stored batteries to prevent them from remaining in a completely discharged state, thereby maintaining their performance and preventing deterioration that would otherwise occur during long-term storage.
Solution Approach 2:
The system ensures continuous useful action by maintaining periodic charge-discharge cycles on stored energy storage devices. Rather than leaving devices static during storage, the system continuously manages their electrochemical state through scheduled operations, ensuring they remain in a usable condition throughout the storage period.
2Reliability
If charge-discharge operations are performed on stored energy storage devices, then their performance is maintained, but excessive operations can accelerate deterioration
Solution Approach 1:
The system applies partial action by performing only the necessary minimum charge-discharge operations required to maintain device performance. Rather than continuous cycling, the system monitors device states and performs charge-discharge operations only when needed, avoiding excessive actions that would accelerate deterioration while still preventing performance degradation.
Solution Approach 2:
The system uses feedback mechanisms where controllers monitor the state of energy storage devices and adjust charge-discharge operations accordingly. Based on measured parameters such as voltage, current, and temperature, the system determines when charge-discharge operations are necessary and when they should be avoided, optimizing the balance between maintaining performance and preventing accelerated deterioration.
3Productivity
If multiple storage locations are used for energy storage devices, then distribution efficiency is improved, but tracking and managing device states becomes more complex
Solution Approach 1:
The system achieves universality by using a standardized data processing architecture that can handle multiple storage locations through a common interface. The data processor and controllers use uniform protocols and data structures regardless of location, allowing the system to scale to multiple sites without proportionally increasing management complexity. Each location follows the same operational patterns.
Solution Approach 2:
The system introduces data processors as intermediaries between controllers at various storage locations and the central management system. These data processors localize data collection and preliminary processing at each location, reducing the burden on the central system and simplifying the tracking of device states across multiple locations through a hierarchical management structure.
Data Source
AI summary
A data processing system includes storage assemblies each including a controller configured or programmed to control charge-discharge of energy storage devices, and a data processor, in which the storage assemblies are provided at different places, each of the storage assemblies is configured to store the energy storage devices, the data processor includes a memory to store state data of the energy storage devices, and a processor configured or programmed to update the state data stored in the memory by using a state data of the energy storage devices received from the controller, and the processor is configured or programmed to derive a quality evaluation of each of the energy storage devices based on the state data stored in the memory, and output the derived quality evaluation to the controller or another device.