Development of An Outlier Evaluation Device for Individual Battery Characteristics Based on A Multidimensional Gaussian Model
Due to subtle inconsistencies in the production process of individual batteries(quality control issues)and the complex factors affecting long-term charge-discharge operations,the inconsistency of voltage,internal resistance,and State of Charge(SOC)of individual batteries in a battery pack is further exacerbated during operation.This inconsistency,due to the"barrel effect"of battery pack performance,can lead to the most degraded battery cell causing the entire battery pack to be scrapped,thereby shortening the overall lifespan of the battery pack.The characteristics of rechargeable batteries change during the charge-discharge process,such as the internal resistance composed of ohmic polarization(conductive resistance)and electrochemical polarization resistance,and concentration polarization resistance.As the resistance changes during charge-discharge,it is desirable that the characteristics of each cell in the battery pack change synchronously during the charge-discharge process,meaning that the charge-discharge characteristic curves of each battery cell overlap or are close to overlapping.Capacity testing only focuses on whether the individual voltages meet standards after specified discharge times,lacking the reflection of dynamic characteristic curves of rechargeable batteries.Existing methods for testing abnormal cell consistency are based on rigid standards and big data,making them unsuitable for identifying anomalies in cells within a battery pack operating as a unit.Moreover,they lack simplicity.
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