Battery Analysis System Data Volume Control
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Solution Overview
Problem
Existing battery analysis systems face challenges in optimizing data storage based on varying customer analysis needs, leading to excessive or insufficient data collection, which strains cloud database capacity and increases costs.
Innovation Solution
A battery analysis system that includes a data reception unit, retention unit, analysis unit, and data amount controller to selectively store and manage battery data based on user-selected analysis items, adjusting sampling and transmission frequencies to optimize data storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If battery data of all customers is collected in a uniform pattern, then data collection is simplified, but the battery data necessary for each customer becomes excessive or insufficient
Solution Approach 1:
The patent segments the uniform data collection approach into customer-specific segments. Each customer's battery data is collected and stored separately based on their individual analysis requirements, allowing the system to maintain simplicity in the collection process while adapting to diverse customer needs through individualized data segments
Solution Approach 2:
The patent implements a dynamic data collection strategy where the sampling cycle and data items are adjusted based on each customer's selected analysis functions. The system transitions from a static uniform collection pattern to a dynamic adaptive pattern that changes according to customer requirements, ensuring data adequacy without excessive collection
2Reliability
If battery data is stored regardless of utilization, then data availability for any analysis function is ensured, but cloud database capacity becomes tight
Solution Approach 1:
The patent extracts and stores only the battery data items that are actually utilized by customers for their selected analysis functions. Instead of storing all possible data, the system identifies and extracts only the necessary data types and sampling frequencies required for each customer's analysis needs, thereby maintaining data availability while reducing overall storage requirements
Solution Approach 2:
The patent changes the parameters of data storage by adjusting the sampling cycle and data item selection based on customer-specific analysis requirements. This parameter optimization allows the system to maintain sufficient data availability for analysis while significantly reducing the quantity of stored data, thus resolving the contradiction between reliability and storage capacity
3Loss of energy
If data collection frequency is reduced, then communication load and storage requirements are reduced, but analysis accuracy may be compromised
Solution Approach 1:
The patent applies local quality by setting different data collection frequencies and sampling cycles for different data items based on their specific requirements for analysis accuracy. Critical data items that require high precision maintain higher collection frequencies, while less critical items use lower frequencies, thereby optimizing the balance between communication load and analysis accuracy through localized quality adjustment
Data Source
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AI summary
In a battery analysis system, a data reception unit receives battery data of a battery pack mounted on an apparatus via the apparatus or a data relay system. A battery data retention unit stores the battery data that have been received. A battery state analysis unit reads the battery data that has been stored, analyzes the battery data that has been read, and estimates a battery state for each predetermined analysis item. A data amount controller controls an amount of battery data to be stored in the battery data retention unit according to at least one analysis item selected by a user.