Method for predicting capacity diving during battery aging

A technology of aging process and prediction method, applied in the direction of measuring electrical variables, measuring electricity, measuring devices, etc., can solve the problem of lack of battery capacity diving prediction method, and achieve the effect of improving the use effect

Active Publication Date: 2019-04-09
TSINGHUA UNIV
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

In the current technology, there is still a lack of prediction methods for capacity diving during battery aging

Method used

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  • Method for predicting capacity diving during battery aging
  • Method for predicting capacity diving during battery aging
  • Method for predicting capacity diving during battery aging

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Embodiment Construction

[0020] The present invention proposes a method for predicting capacity drop in the battery aging process. The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0021] The present invention proposes a method for predicting the capacity drop in the battery aging process. The overall process is as follows figure 1 shown, including the following steps:

[0022] 1) Randomly select a new battery, and obtain the OCV (open circuit voltage)-discharge capacity curve and the corresponding slope turning point of the new battery;

[0023] 2) Obtain the internal resistance of the new battery selected in step 1);

[0024] 3) Obtain the relationship between the internal resistance and the number of cycles during the aging process of the battery of the same type as the battery selected in step 1);

[0025] 4) Obtain the OCV-discharge capacity curve and the corresponding slope turning point during the aging process of...

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Abstract

The invention provides a method for predicting capacity diving during battery aging, and relates to the technical field of batteries. The method comprises the following steps: firstly obtaining an OCV-discharge capacity curve and a slope turning point of the new battery, and obtaining an internal resistance of the new battery; then obtaining the relationship between the internal resistance and thenumber of cycles in the aging process of a same type of battery as the new battery, obtaining an OCV-discharge capacity curve and a slope turning point of the battery during the aging, and simultaneously obtaining the discharge curve and slope turning point of a given discharge schedule of the battery during the aging; and if the slope turning point of the discharge curve reaches a discharge lower limit cutoff voltage, determining that the capacity diving of the battery will occur during the subsequent aging under the given discharge schedule. The method provided by the invention can be usedto predict early whether a capacity diving will occur during aging of the battery, and to better use the battery during the entire life cycle of the battery.

Description

technical field [0001] The invention relates to the technical field of batteries, in particular to a method for predicting capacity drop during battery aging. Background technique [0002] Lithium-ion batteries have the advantages of high energy density, long cycle life, low self-discharge rate, and no memory effect. energy storage elements. Lithium-ion batteries will gradually age during use and their capacity will gradually decrease. In the aging process of a battery with a given procedure, the capacity fading process can be roughly divided into two stages. In the first stage, the capacity decay is roughly linear with time or the number of cycles; in the second stage, the rate of capacity decay suddenly accelerates, and the battery performance rapidly declines. This process is usually called capacity "diving". The turning point of the two stages is called the capacity diving point. [0003] After the battery capacity dips in the aging process, the decay rate is acceler...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/367G01R31/389G01R31/392
Inventor 葛昊张剑波李哲
Owner TSINGHUA UNIV
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