Battery Data Compression Using Grouped Difference Encoding
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Solution Overview
Problem
The sheer volume of battery data from large-scale energy storage systems leads to slow transmission, delayed storage operations, and excessive storage space consumption, necessitating improved data management solutions.
Innovation Solution
A battery data compression method involving grouping battery data according to a preset algorithm, encoding differences within a threshold range, and storing compressed data using a controller and memory system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If battery data from hundreds of single-cell batteries is collected and stored without compression, then complete monitoring data is preserved, but storage space consumption becomes excessive
Solution Approach 1:
The patent segments battery data into groups based on voltage ranges and battery positions. By dividing the large dataset into smaller segments with similar characteristics, the system can apply targeted compression strategies to each segment while preserving the essential monitoring information across all batteries.
Solution Approach 2:
The patent transforms battery data by storing differences relative to reference values rather than absolute values. This parameter transformation allows significant compression because voltage differences within a group are much smaller than the full voltage range, reducing the storage requirements while maintaining data integrity for monitoring purposes.
2Measurement precision
If all battery data is transmitted and stored in full detail, then data accuracy is maintained, but transmission and storage operation speeds become slow
Solution Approach 1:
The patent extracts only the essential variation information from each battery data point by storing the difference between each value and its group reference value. This extraction approach removes redundant information (the common reference value) while preserving the unique characteristics needed for accurate monitoring, thereby speeding up transmission and storage operations.
3Volume of stationary object
If compression encoding is applied to battery data groups, then storage space is reduced, but data processing complexity increases
Solution Approach 1:
The patent organizes compression processing by segmenting batteries into voltage-based groups with assigned reference values. This segmentation creates a systematic structure where each group follows the same compression pattern, making the processing complexity manageable and repeatable across different battery sets rather than requiring complex individual processing for each battery.
Solution Approach 2:
The patent performs preliminary organization of battery data into groups with predetermined reference values before compression encoding. This preliminary action establishes a structured framework that simplifies the subsequent compression process, as the grouping and reference value assignment are done once, and then standard compression can be applied uniformly to all groups.
Data Source
AI summary
A battery data compression method, a battery data storage method, and related devices are provided. The battery data compression method includes: acquiring a to-be-compressed battery dataset, grouping battery data in the battery dataset according to a preset grouping algorithm to obtain one or more groups of battery data, and performing compression encoding on the one or more groups of battery data in a preset manner according to group categories, respectively. The battery data in each of the one or more groups originates from sequentially numbered adjacent batteries, and a difference between every individual piece of battery data in each of the one or more groups and reference data is within a first preset threshold range.