Battery consistency detection method, energy storage system, device, vehicle and storage medium

By applying a dynamic time warping algorithm to calculate the similarity distance of battery cells, the problem of low accuracy in battery consistency detection results is solved, enabling more efficient battery consistency management and accurate detection before battery assembly.

CN122109896APending Publication Date: 2026-05-29SHENZHEN BYD LITHIUM BATTERY +1
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
SHENZHEN BYD LITHIUM BATTERY
Filing Date
2024-11-29
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

The accuracy of battery consistency testing results in the current technology is low, and it cannot effectively reflect the performance differences between cells in the battery, resulting in a reduction in the battery's external power output capability.

Method used

By acquiring the time series of operating parameters for each cell in the battery, and using the dynamic time warping algorithm to calculate the similarity distance, a set of similarity distances for the cells is obtained. Based on this, the consistency detection result of the cells is determined, avoiding the pruning of the operating parameter time series.

Benefits of technology

It improves the utilization rate of battery operating parameters and the accuracy of consistency test results, enabling more accurate identification of abnormal cells and improving management efficiency during battery assembly and operation.

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Abstract

The application discloses a battery consistency detection method, an energy storage system, equipment, a vehicle and a storage medium, relates to the technical field of batteries, and is used for improving the accuracy of consistency detection results. The battery consistency detection method comprises the following steps: acquiring operation parameter time sequences of a plurality of battery cells in a current time period, wherein the operation parameter time sequence of each battery cell comprises parameter values of operation parameters of the battery cell at a plurality of time points in the current time period; performing similarity distance calculation on the operation parameter time sequences of the plurality of battery cells based on a dynamic time warping algorithm to obtain a similarity distance set of the plurality of battery cells, wherein the similarity distance set of each battery cell comprises similarity distances between the operation parameter time sequence of the battery cell and the operation parameter time sequences of other battery cells; and obtaining consistency detection results of the plurality of battery cells based on the similarity distance set of the plurality of battery cells, wherein the consistency detection result of each battery cell is used for indicating whether the battery cell is normal.
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