Battery Pack Cell Replacement Based on Regional Temperature History
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Solution Overview
Problem
Existing battery management systems do not adequately consider temperature variations among cells in a battery assembly, leading to suboptimal selection of replacement cells and increased risk of overcharging due to uneven deterioration.
Innovation Solution
A battery information processing apparatus and method that obtain and analyze temperature histories from both the peripheral and central regions of a battery assembly to generate replacement information, guiding the selection of replacement cells based on their likelihood of deterioration, ensuring cells less likely to deteriorate are placed in high-temperature areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If replacement cells are selected based on overall battery pack temperature history, then a replacement cell can be selected, but variation in temperature among cells is not considered leading to suboptimal selection
Solution Approach 1:
The battery pack is divided into multiple regions (first region and second region) with different thermal characteristics. Temperature history is obtained separately for each region, allowing the system to consider spatial temperature variations when selecting replacement cells, thus improving selection accuracy without losing thermal information.
Solution Approach 2:
Different regions of the battery pack are assigned different replacement cell selection criteria based on their local temperature characteristics. Cells in the first region (with first temperature history) and second region (with second temperature history) are evaluated separately, enabling optimized replacement decisions that account for local thermal conditions.
2Device complexity
If cells are replaced without considering temperature variation among cells, then replacement process is simplified, but uneven deterioration occurs increasing risk of overcharging
Solution Approach 1:
The battery pack is segmented into multiple regions with distinct thermal profiles. By obtaining temperature history for each region separately and using this information in replacement cell selection, the system achieves uniform deterioration across cells while maintaining a relatively simple replacement process.
3Reliability
If temperature history of all cells is obtained and analyzed separately, then appropriate replacement cell selection is achieved, but information processing complexity increases
Solution Approach 1:
Temperature history is segmented by region rather than requiring individual cell-level processing. This regional segmentation reduces the complexity of information processing while still capturing the essential thermal variations needed for accurate replacement cell selection.
Solution Approach 2:
Temperature history data from multiple cells within the same region is combined into a representative first temperature history or second temperature history for that region. This merging approach reduces data processing complexity while preserving the thermal characteristics necessary for reliable replacement decisions.
Data Source
AI summary
When a temperature Tedge of a cell at an end of a battery pack is higher than a temperature Tcen of a cell in a pack central portion, a management server generates rebuilding information for rebuilding a battery pack such that a cell less likely to deteriorate than a cell arranged in the pack central portion is arranged at a pack end. When temperature Tcen is higher than temperature Tedge, the management server generates rebuilding information such that a cell less likely to deteriorate than a cell arranged at the pack end is arranged in the pack central portion.