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Battery degradation state model-based lithium ion battery cycle life prediction method

A lithium-ion battery and state model technology, applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc., can solve problems such as difficult modeling

Active Publication Date: 2013-10-02
HARBIN INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0017] The present invention solves the problem of difficult modeling in the existing lithium-ion battery cycle life prediction process

Method used

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  • Battery degradation state model-based lithium ion battery cycle life prediction method
  • Battery degradation state model-based lithium ion battery cycle life prediction method
  • Battery degradation state model-based lithium ion battery cycle life prediction method

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specific Embodiment approach 1

[0045] Specific implementation mode 1. Combination figure 1 Specifically explaining this embodiment, the lithium-ion battery cycle life prediction method based on the battery degradation state model described in this embodiment includes the following steps:

[0046] Step 1. Collect battery monitoring data and preprocess the data;

[0047] Step 2. Obtain the battery degradation state model according to the battery degradation state model training,

[0048] Step 3: Predict the cycle life of the lithium-ion battery based on the battery degradation state model obtained in step 2, obtain the cycle life value of the lithium-ion battery, and realize the cycle life prediction of the lithium-ion battery based on the battery degradation state model.

specific Embodiment approach 2

[0049]Specific Embodiment 2. The difference between this embodiment and the lithium-ion battery cycle life prediction method based on the battery degradation state model described in the specific embodiment 1 is that the battery monitoring data described in step 1 is collected and the data is preprocessed. The specific process is:

[0050] Step 11, collecting battery monitoring data, the monitoring data includes monitoring time, discharge voltage, current and battery capacity;

[0051] Step 12: According to the battery monitoring data, data preprocessing is performed to obtain a discharge time series with equal pressure drop.

[0052] Through the gray relational analysis, it can be seen that the correlation degree between the equal pressure drop discharge time series and the battery capacity series described in this embodiment is relatively large, that is, the equal pressure drop discharge time can be used to characterize the battery capacity.

[0053] The lithium-ion battery...

specific Embodiment approach 3

[0067] Specific Embodiment 3. The difference between this embodiment and the lithium-ion battery cycle life prediction method based on the battery degradation state model described in Embodiment 2 is that the specific process of obtaining the discharge time series with equal pressure drop described in steps 1 and 2 is as follows: :

[0068] Step 121, select the constant current discharge mode, and extract the monitoring data corresponding to the constant current discharge mode per cycle;

[0069] Step 122, setting the range of equal pressure drop discharge voltage;

[0070] Step 1, 2, and 3: Calculate the time difference of equal-voltage-drop discharge each time, and obtain the time series x(n) of equal-voltage-drop discharge.

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Abstract

The invention relates to a battery degradation state model-based lithium ion battery cycle life prediction method, aiming at solving the problem of difficulty in modeling existing in the conventional lithium ion battery cycle life prediction process. The battery degradation state model-based lithium ion battery cycle life prediction method comprises the following steps: 1, acquiring battery monitoring data and preprocessing the data; 2, obtaining a battery degradation state model according to battery degradation state model training; and 3, predicting the lithium ion battery cycle life according to the battery degradation state model obtained by the step 2 to obtain a lithium ion battery cycle life value so as to realize battery degradation state model-based lithium ion battery cycle life prediction. The battery degradation state model-based lithium ion battery cycle life prediction method is suitable for the field of batteries.

Description

technical field [0001] The invention relates to a battery degradation state modeling method, in particular to a lithium ion battery cycle life prediction method based on the battery degradation state model. Background technique [0002] Although a lithium-ion battery is an energy storage and conversion device, it is not infinitely usable, that is, its cycle life is limited, because the performance of the battery will gradually decline as the battery is used. In order to better establish a life prediction model for lithium-ion batteries, the performance degradation process and mechanism of lithium-ion batteries are first analyzed here. [0003] Lithium-ion battery is a rechargeable battery that mainly relies on the movement of lithium ions between the positive and negative electrodes. The chemical power of the entire battery comes from the difference in the chemical potential of its two electrodes. When the battery is charging, it converts electrical energy into chemical ene...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/36G06F19/00
Inventor 彭宇刘大同周建宝王红彭喜元
Owner HARBIN INST OF TECH
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