Power battery sorting system and method

Abstract

The invention relates to a power battery sorting system and method. The power battery sorting system comprises charge and discharge equipment sets, edge computers and a cloud platform, on this basis,a time series distributed type clustering method is applied, a 'cloud-edge' collaborative manner is innovatively adopted, and traditional battery sorting systems and methods are innovated. The power battery sorting method comprises the steps that the calculation capacity of the edge computers is sufficiently utilized firstly to perform local defect product detection and primary clustering; then all local processing results are uploaded to the cloud end to perform global defect product fusion, division and edge-based clustering fusion; and then global processing results are finally downloaded to the edge computers to perform multi-factor collaborative grouping decision-making, and power battery optimization sorting is realized. By means of the power battery sorting system and method, the battery sorting accuracy can be improved, the time required for sorting is shortened, the life of a battery pack is prolonged, and the power battery sorting system and method have important practical significance for enterprises.

Description

technical field [0001] The invention relates to the field of computers, in particular to a power battery sorting system and method. Background technique [0002] As the core component of electric vehicles, power batteries have the characteristics of high energy density, low self-discharge rate, no memory effect and low pollution, and are one of the energy carriers with great development prospects. Since the voltage and capacity of single cells cannot meet the demand, in the actual application process, multiple single cells are often connected in series and parallel to form a battery pack. However, there are inconsistencies between the single batteries in the same battery pack, which are reflected in the differences in their voltage, internal resistance, and capacity parameters. As the battery ages, the inconsistency gradually increases, which will seriously affect the performance and life of the battery pack. Therefore, it is of great significance to minimize or control th...

AI Technical Summary

Problems solved by technology

A large amount of charge and discharge data has not been fully utilized, and the host computer at the acquisition end is only used for sending control commands, data acquisition and storage, resulting in a large waste of computing resources; at the same time, traditional clustering methods are used to process the clustering of charge and discharge dynamic characteristic curves. The class method faces the problem of large amount of calculation and untimely response

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