Battery Pack State Assessment via Target Cell Variance
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Solution Overview
Problem
Current battery management methods fail to accurately determine the state of a battery pack due to low reliability in considering degradation rate differences among cells connected in series/parallel structures, leading to inefficient use and reduced efficiency.
Innovation Solution
A battery management method that identifies a target battery based on variance information, such as voltage or current degradation, to determine pack state information, focusing on the battery with the highest degradation for more accurate state assessment and efficient pack operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If state information of each cell is determined based on data of each cell to obtain accurate pack state information, then measurement precision is improved, but device complexity and data processing requirements increase
Solution Approach 1:
The patent segments the battery pack into individual cells and identifies a target cell based on variance information. Instead of processing all cell data uniformly, the system divides the problem by selecting only the most representative cell (the target cell) whose state information will represent the entire pack, thus reducing complexity while maintaining accuracy.
Solution Approach 2:
The patent extracts only the necessary information from the battery pack by identifying a target cell based on variance information. Rather than utilizing data from all cells, the system extracts state information from a single target cell that best represents the pack's overall state, reducing data processing requirements while preserving measurement precision.
2Measurement precision
If variance information of physical quantity is verified for each battery to identify target battery, then measurement precision is improved, but loss of time increases due to additional verification steps
Solution Approach 1:
The patent performs preliminary verification of variance information for each battery to establish rankings before final target identification. By pre-calculating and storing variance data and rankings, the system prepares the necessary information in advance, allowing for faster target battery identification when needed without compromising measurement precision.
Solution Approach 2:
The patent replaces complex real-time analysis of all battery parameters with a simplified ranking system based on pre-calculated variance information. Instead of performing exhaustive mechanical analysis of each battery's complete state, the system substitutes this with a faster variance-based ranking approach that maintains identification accuracy while reducing processing time.
3Ease of operation
If battery pack is managed as a single cell to simplify operations, then ease of operation is improved, but reliability of state information deteriorates due to ignoring cell degradation differences
Solution Approach 1:
The patent applies local quality by treating each battery cell differently based on its individual characteristics, specifically its variance information and degradation rate. Instead of uniformly managing all cells as a single entity, the system identifies and focuses on the target cell with the most significant variance, allowing simplified operations while maintaining reliability by accounting for local differences in cell behavior.
Solution Approach 2:
The patent changes the management approach from treating all cells equally to selecting a target cell based on variance information as a key parameter. By changing the selection criterion from uniform treatment to variance-based identification, the system achieves both ease of operation (simplified to single-cell management) and reliability (accounts for degradation differences through parameter selection).
Data Source
AI summary
A battery management method includes verifying variance information of a physical quantity of each of a plurality of batteries, and identifying a target battery among the batteries based on the variance information. The battery management method also includes determining pack state information of a battery pack comprising the batteries based on state information of the target battery.