Battery Management Diagnosing Cell Group Deterioration Imbalance
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Solution Overview
Problem
Existing methods struggle to accurately diagnose deterioration imbalance in cell groups composed of multiple batteries, leading to inefficiencies in battery management and reduced accuracy in predicting the remaining lifespan and determining replacement times.
Innovation Solution
A battery management apparatus and method that analyze the charging and discharging profiles of a cell group to identify characteristic points, using differential profiles to diagnose deterioration imbalance by counting the number of inflection points, and adjust usage conditions based on the severity of the imbalance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods are used to diagnose deterioration for each individual cell, then deterioration prediction for individual cells can be achieved, but it becomes difficult to effectively diagnose deterioration imbalance for the entire cell group
Solution Approach 1:
The patent merges individual cell deterioration data into a unified cell group deterioration profile by aggregating capacity and voltage information across all cells. This combining approach enables simultaneous assessment of both individual cell status and overall cell group health, resolving the contradiction between individual precision and group-level adaptability.
Solution Approach 2:
The deterioration diagnosis system is designed to serve multiple functions: it can diagnose individual cell deterioration, assess overall cell group health, identify deterioration imbalance, and predict remaining lifespan at different hierarchical levels. This multi-functional capability allows the same system to address both individual cell precision and group-level versatility requirements.
2Measurement precision
If deterioration calculation for each individual cell is completed followed by statistical calculation and comparison, then deterioration imbalance can be diagnosed, but the efficiency of calculation processing is considerably low
Solution Approach 1:
The system performs preliminary aggregation of cell data into group-level statistics (mean capacity, standard deviation, voltage profiles) during normal operation rather than calculating individual cell deterioration and then performing statistical analysis when needed. This preliminary preparation of aggregated data significantly reduces computation time while maintaining diagnostic accuracy.
Solution Approach 2:
The patent replaces complex iterative statistical calculations with direct comparison against pre-established deterioration thresholds and profiles. Instead of performing repeated statistical computations, the system substitutes these with efficient pattern matching and threshold-based decision making, dramatically improving processing speed while preserving diagnostic precision.
3Reliability
If existing diagnosis methods are used, then individual cell deterioration can be predicted, but the accuracy of information is reduced and efficiency is low
Solution Approach 1:
The system implements continuous feedback by monitoring cell group deterioration profiles over time and comparing them against established benchmarks. This ongoing feedback mechanism maintains high reliability by constantly updating the assessment based on new data while using efficient algorithms to process information quickly, avoiding the trade-off between accuracy and speed.
Data Source
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AI summary
A battery management apparatus according to an embodiment of the present disclosure includes a profile processing unit configured to obtain a charging and discharging profile of a cell group in which a plurality of cells are electrically connected; a characteristic point selecting unit configured to select a characteristic point corresponding to an inflection point in the charging and discharging profile; and a diagnosing unit configured to diagnose a deterioration imbalance of the cell group using characteristic information including information on the number of characteristic points.