Battery water content prediction method

A prediction method and technology for water content, applied in measuring devices, instruments, scientific instruments, etc., can solve the problems of complex and expensive instrument structure, consumption of a large number of samples and reagents, and complicated operation, so as to improve the setting and accuracy of baking parameters. High, predicting method fast results

Active Publication Date: 2018-07-20
DONGGUAN TEC RICH ENGINEERING CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Generally, the baking effect of the whole batch of batteries is evaluated by measuring the battery water content of the simulated batteries baked together with the production batteries. The water content test results are obtained after steps such as "sampling, weighing, sealing the sample bottle, heating, and testing" , the water content determined by this method is accurat

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0031] (1) The establishment of the relationship between air pressure cycle time and water content:

[0032] a. Choose 136 LFP batteries with the model number 2790148 (length*width*thickness: 148mm*90mm*27mm), put them in a vacuum oven and preheat them at 95°C for 1 hour, and set the high and low air pressure as 220Pa and 200Pa, the segmental air pressure vacuum baking time is 5 hours, record the baking time and air pressure value, and obtain the air pressure cycle curve of the segmental air pressure vacuum baking;

[0033] b. Use the baking time and air pressure value to obtain the discrete data of each group of baking time and air pressure cycle time, and combine Excel processing to obtain the relationship between baking time and air pressure cycle time;

[0034]c. Measure the water content at each baking time by a Karl Fischer moisture analyzer, and the air pressure cycle time at each baking time can be obtained through the relationship between the baking time and the air p...

Embodiment 2

[0038] (1) The establishment of the relationship between air pressure cycle time and water content:

[0039] a. Choose 136 NCM batteries with model number 2790148 (length*width*thickness: 148mm*90mm*27mm), put them in a vacuum oven and preheat them at 95°C for 1 hour, and set the high and low air pressure as 220Pa and 200Pa, the segmental air pressure vacuum baking time is 5 hours, record the baking time and air pressure value, and obtain the air pressure cycle curve of the segmental air pressure vacuum baking;

[0040] b. Use the baking time and air pressure value to obtain the discrete data of each group of baking time and air pressure cycle time, and combine Excel processing to obtain the relationship between baking time and air pressure cycle time;

[0041] c. Measure the water content at each baking time by a Karl Fischer moisture analyzer, and the air pressure cycle time at each baking time can be obtained through the relationship between the baking time and the air pres...

Embodiment 3

[0045] (1) The establishment of the relationship between air pressure cycle time and water content:

[0046] a. Choose 136 NCA batteries with model number 2790148 (length*width*thickness: 148mm*90mm*27mm), put them in a vacuum oven and preheat them at 95°C for 1 hour, and set the high and low air pressure as 220Pa and 200Pa, the segmental air pressure vacuum baking time is 5 hours, record the baking time and air pressure value, and obtain the air pressure cycle curve of the segmental air pressure vacuum baking;

[0047] b. Use the baking time and air pressure value to obtain the discrete data of each group of baking time and air pressure cycle time, and combine Excel processing to obtain the relationship between baking time and air pressure cycle time;

[0048] c. Measure the water content at each baking time by a Karl Fischer moisture analyzer, and the air pressure cycle time at each baking time can be obtained through the relationship between the baking time and the air pres...

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Abstract

The invention provides a battery water content prediction method. The method comprises the following steps: (1) establishing a relation between air pressure circulation time and water content: a, performing sectional air-pressure vacuum baking on a battery, and recording baking time and air pressure values; b, obtaining a relation, which is in a linear equation, between baking time and the air pressure circulation time according to the baking time and the air pressure values; c, obtaining a relation, which is in an exponential function, between the air pressure circulation time and the water content according to the air pressure circulation time and the water content corresponding to each baking time; (2) substituting the air pressure circulation time corresponding to each baking time intothe relation between the air pressure circulation time and the water content to obtain a predicted value of the battery water content. The prediction method is fast, simple and high in accuracy, a simulated battery is not needed to be configured for reference of a baking effect, and an important basis for decision making is provided for improving a battery baking process and setting baking parameters of the battery loading and unloading.

Description

technical field [0001] The invention is a method for predicting the water content, especially a method capable of predicting the water content of the battery during the vacuum baking process in real time. Background technique [0002] With the development of scientific research and the progress of production technology, the quantitative analysis of moisture has been listed as one of the basic items of various physical and chemical analysis, and as one of the physical quality indicators of various substances. Common moisture determination methods include atmospheric pressure and constant temperature drying method, desiccant drying method, and reduced pressure drying method. These methods are widely used, and the equipment and operation are simple. The disadvantage is that the analysis time is longer and it is easy to cause side reactions. In addition, more complex moisture analysis methods include distillation, chemical drying, gas chromatography, microwave method, infrared a...

Claims

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Application Information

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IPC IPC(8): G01N33/00
CPCG01N33/00G01N2033/0088
Inventor 李吉乐方军刘奎周晓雄黄大杰李俊
Owner DONGGUAN TEC RICH ENGINEERING CO LTD
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