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Lithium ion battery full charge storage service life evaluation method

A lithium-ion battery, charge storage technology, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., can solve the problems of increased storage temperature, low data reliability, and long evaluation time.

Active Publication Date: 2015-12-02
NAT UNIV OF DEFENSE TECH
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

The rule of thumb is based on experience, and it is proposed that on the basis of meeting certain conditions, the storage temperature of the battery increases by 10°C, and the capacity decay rate of the battery increases by about one time. This method can simply estimate the full charge storage of lithium-ion batteries. However, the reliability of the data is not high, and there are shortcomings such as low accuracy and long evaluation time

Method used

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  • Lithium ion battery full charge storage service life evaluation method
  • Lithium ion battery full charge storage service life evaluation method
  • Lithium ion battery full charge storage service life evaluation method

Examples

Experimental program
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Embodiment 1

[0059] like figure 1 As shown, the steps of the lithium-ion battery full charge storage life evaluation method in this embodiment include:

[0060] 1) Determine the experimental conditions and conduct experiments to generate experimental data: determine the storage temperature range according to the lowest storage temperature of the lithium-ion battery to be evaluated and the electrolyte decomposition temperature, and select multiple storage temperature values ​​T according to the preset temperature interval within the storage temperature range, Store the battery sample for evaluating the full charge state of the lithium-ion battery for a specified sampling time t under multiple storage temperature values ​​T, and each sampling time t under each storage temperature value T is used as a sampling point, and each sampling point corresponds to For at least one battery sample, obtain the capacity loss rate Q of the battery sample at each sampling point to generate experimental data...

Embodiment 2

[0107] The basic steps of this embodiment are the same as that of Embodiment 1, and its main difference is:

[0108] In step 1) of this embodiment, in view of the fact that the capacity of the battery in this example decays too quickly at 343K at the initial stage of the experiment, the highest acceleration temperature adopted in this example is 333K, the interval temperature interval is 5K, and four interval temperature intervals are taken, so the storage Set the temperature as 298K, 318K, 323K, 328K, 333K, and set the sampling time as 15 days, 30 days, 45 days, 60 days, 90 days. At the same time, due to the large difference in the capacity of the single cells of the battery in Example 2, the number of samples was increased to 5, and the final test plan for each sampling point was finally obtained as shown in Table 4. In addition, the capacity of the experimental data was also included in this example. The error ranges of loss rate Q, storage temperature value T, and sampling...

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Abstract

The invention discloses a lithium ion battery full charge storage service life evaluation method. The method comprises steps: a battery sample for evaluation of lithium ion battery full charge states is stored at a plurality of storage temperature values T for appointed sampling time t, a capacity loss rate Q is obtained, and experiment data are generated; a capacity attenuation aged model is established, and values of a model parameter rho and a model parameter a are determined; the selection rationality of the storage temperature scope is determined based on the situation whether the model parameter a meets the Arrhenius formula at each storage temperature value T; a mean value and a standard deviation standard deviation of a model A and a model B are obtained through statistics; the value of the model parameter rho and the mean value of the models A and B are substituted into the model and fitting goodness determination is carried out; after fitting goodness is met, the service life of the lithium ion battery to be evaluated is predicted at a normal temperature and a service life distribution diagram is obtained. The evaluation method has advantages of sufficient service life evaluation principle, high data reliability, high precision, short evaluation time, wide application scope, is simple and practicable, and is easy to implement.

Description

technical field [0001] The invention relates to the storage life evaluation technology of lithium-ion batteries, in particular to a method for evaluating the full-charge storage life of lithium-ion batteries using high-temperature acceleration. Background technique [0002] With the development of society and the advancement of science and technology, lithium-ion batteries have been widely used as a new generation of energy systems. As a power source, lithium-ion batteries have the advantages of high safety and no pollution compared with traditional oil-based power sources, making lithium batteries have great application prospects in vehicle power supplies. At present, pure electric vehicles based on lithium batteries have been successfully produced at home and abroad and have widely sold. [0003] However, the lifespan of lithium-ion batteries is one of the biggest constraints limiting their widespread application. Typically, the end of life of a battery is defined as 80%...

Claims

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Application Information

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IPC IPC(8): G01R31/36
Inventor 郑春满刘勇谢凯盘毅王珲韩喻洪晓斌李德湛李宇杰许静
Owner NAT UNIV OF DEFENSE TECH
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