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Intelligent formation method of lithium ion battery

A lithium-ion battery and battery technology, applied in the direction of secondary batteries, electrochemical generators, non-aqueous electrolyte batteries, etc., can solve the problems of not considering the difference between batteries, difficulty in reducing production costs, poor battery consistency, etc., and achieve consistency High, reduce the production rate of inferior products, improve the effect of performance

Inactive Publication Date: 2017-12-29
青岛恒金源电子科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing formation method uses the same formation method for the same batch of batteries, and does not take into account the differences between batteries. Therefore, it leads to a high rate of defective products, difficulty in reducing production costs, and poor consistency of batteries.

Method used

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  • Intelligent formation method of lithium ion battery
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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] 1) Charge the lithium-ion battery to 3.6V at 0.05C;

[0029] 2) Charge to 4.2V at 0.1C;

[0030] 3) Discharge at 1C to 2.7V;

[0031] 4) Measure the temperature of each single battery and calculate the average temperature;

[0032] 5) Continue to over-discharge the battery whose temperature is higher than the average value to the cut-off voltage:

[0033] Cut-off voltage=2.7-0.1*(single battery temperature / average temperature-1);

[0034] 6) Perform positive and negative alternating pulse current cycles on all batteries near their voltage for 3 times, the magnitude of the positive pulse current and the negative pulse current are the same as 0.1C, the pulse action time is the same as 10s, and the interval is 0s;

[0035] 7) Charge the battery to 4.2V with 1C, then cycle the battery twice between 4.2-2.7V with the same current, check the battery capacity, and classify the battery according to the battery capacity.

Embodiment 2

[0037] 1) Charge the lithium-ion battery to 3.7V at 0.1C;

[0038] 2) Charge to 4.3V at 0.5C;

[0039] 3) Discharge at 2C to 2.8V;

[0040] 4) Measure the temperature of each single battery and calculate the average temperature;

[0041] 5) Continue to over-discharge the battery whose temperature is higher than the average value to the cut-off voltage:

[0042] Cut-off voltage=2.8-0.8*(single battery temperature / average temperature-1);

[0043] 6) Perform positive and negative alternating pulse current cycles on all batteries near their voltage for 20 times, the magnitude of the positive pulse current and the negative pulse current are the same as 0.2C, the same pulse action time is 60s, and the interval is 20s;

[0044] 7) Charge the battery to 4.3V at 2C, then cycle the battery 5 times between 4.3-2.8V with the same current, check the battery capacity, and classify the battery according to the battery capacity.

Embodiment 3

[0046] 1) Charge the lithium-ion battery to 3.6V at 0.08C;

[0047] 2) Charge to 4.2V at 0.2C;

[0048] 3) Discharge at 1.5C to 2.7V;

[0049] 4) Measure the temperature of each single battery and calculate the average temperature;

[0050] 5) Continue to over-discharge the battery whose temperature is higher than the average value to the cut-off voltage, and the cut-off voltage satisfies the following formula:

[0051] Cut-off voltage=2.7-0.5*(single battery temperature / average temperature-1);

[0052] 6) Perform positive and negative alternating pulse current cycles on all batteries near their voltage for 10 times, the magnitude of the positive pulse current and the negative pulse current are the same as 0.2C, the same pulse action time is 30s, and the interval is 10s;

[0053] 7) Charge the battery to 4.2V at 1.5C, then cycle the battery 4 times between 4.2-2.7V with the same current, check the battery capacity, and classify the battery according to the battery capacity....

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Abstract

The invention provides an intelligent formation method of a lithium ion battery. The parameters of the battery are detected in a formation process, relevant parameters of current and voltage in the formation process are formulated according to the condition of the battery, and a formation procedure is formulated according to internal conditions of each battery, so that the generation rate of poor products in the formation process is reduced, and the performance of the lithium ion battery is improved. According to the method provided by the invention, the rate of qualified lithium ion batteries is increased, the life performance of the lithium ion batteries is improved, and the production cost is lowered.

Description

technical field [0001] The invention relates to the technical field of batteries, in particular to an intelligent formation method of lithium-ion batteries. Background technique [0002] With the rapid development of lithium-ion battery technology, lithium-ion batteries have also begun to be widely used as power and energy storage power sources. For high-power power sources, several single cells are usually connected in series or in parallel to form a battery pack to work together, and the functional failure of any single cell in the battery pack will lead to the functional failure of the entire battery pack, or even Cause battery safety out of control and other issues. Since the production process of each battery in the production process of the battery cannot be exactly the same, there are subtle differences in the specific conditions of each battery, especially the formation process in the production process of the battery also has a greater impact on the performance of ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H01M10/058H01M10/0525
CPCH01M10/0525H01M10/058Y02E60/10Y02P70/50
Inventor 不公告发明人
Owner 青岛恒金源电子科技有限公司
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