Battery sorting method based on charging and discharging curve and fuzzy clustering

A charge-discharge curve, fuzzy clustering technology, applied in the field of sorting process, can solve the problems of low open circuit voltage, obvious difference in electrical performance, battery pack failure, etc., to achieve a large number of cycles, and suppress the decline in the cycle life decay rate. Effect

Inactive Publication Date: 2019-11-22
TIANJIN AGRICULTURE COLLEGE +1
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, after the batteries have been screened by this small current process, the open circuit voltage of the assembled batteries will still be low during use, and the difference in electrica

Method used

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  • Battery sorting method based on charging and discharging curve and fuzzy clustering
  • Battery sorting method based on charging and discharging curve and fuzzy clustering
  • Battery sorting method based on charging and discharging curve and fuzzy clustering

Examples

Experimental program
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Embodiment

[0033] 1000 battery samples of the same batch are taken as samples 1-1000, and 900 batteries are randomly selected as samples 1-900, and sorting experiments are carried out on them. The remaining 100 batteries were used as samples 910-1000 and as the experimental control group. The batteries on the production line were sorted by multi-parameter OCV and internal resistance. Another 100 batteries of the same batch without any sorting were taken as blank controls.

[0034] In this embodiment, the charging and discharging curve of the single battery is sampled every 30 seconds. The eigenvector of the characteristics of a single lithium-ion battery is the sampling data of a complete cycle. The eigenvectors of all batteries in the experiment are the battery sample set matrix.

[0035] FCM clustering algorithm implementation and result analysis: The FCM clustering algorithm needs to set the parameter cluster number C, which is generally determined by observing the data rules and pr...

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Abstract

The invention relates to a battery sorting method based on a charging and discharging curve and fuzzy clustering. The method comprises the following steps: acquiring respective charging and discharging curves of batteries to be sorted, and performing data sampling on each charging and discharging curve every N seconds to form complete cyclic sampling data and a feature vector set of a single battery so as to form a battery sample set matrix; substituting the battery sample set matrix into an FCM clustering algorithm; obtaining classification results. The battery packs are grouped by a sortingmethod, the decreasing trend of the attenuation rate of the cycle life of the battery packs is effectively inhibited, the consistency is higher than that of the battery packs formed without any sorting method, the cycle times of the sorted battery packs are more, and the consistency of the battery packs sorted by combining FCM and multiple parameters is superior to that of the battery packs sortedby OCV and internal resistance.

Description

Technical field: [0001] The invention relates to a sorting process in the manufacturing process of lithium ion batteries. It further relates to a battery sorting method based on charge and discharge curves and fuzzy clustering. Background technique: [0002] The battery pack PACK requires the battery to have a high degree of consistency (capacity, internal resistance, voltage, discharge curve, life). At present, the standards for evaluating the consistency of lithium-ion power batteries mainly include capacity, internal resistance and open circuit voltage. The common sorting method is to collect lithium-ion single battery capacity, open circuit voltage and internal resistance of the battery at full charge as the basic data, and classify and group the batteries. However, after the battery has been screened by this small current process, the open circuit voltage of the assembled battery will still be low during use, and the difference in electrical performance will become mo...

Claims

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Application Information

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IPC IPC(8): G06K9/62B07C5/344
CPCB07C5/344G06F18/23213G06F18/24
Inventor 王莉叶岍刘静茹郅俊朋孔国红
Owner TIANJIN AGRICULTURE COLLEGE
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