Lithium ion battery consistency screening and grouping method based on internal characteristics

A lithium-ion battery and grouping method technology, which is applied in the field of electric vehicle battery production and management, can solve problems such as poor screening and grouping methods, and achieve the effects of reducing inconsistency, improving safety, and extending service life

Active Publication Date: 2018-11-02
HARBIN INST OF TECH
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The present invention is to solve the problem that the existi

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  • Lithium ion battery consistency screening and grouping method based on internal characteristics
  • Lithium ion battery consistency screening and grouping method based on internal characteristics
  • Lithium ion battery consistency screening and grouping method based on internal characteristics

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Example Embodiment

[0020] Specific embodiment one: reference figure 1 value Figure 4 To describe this embodiment in detail, the consistency screening and grouping method of lithium ion batteries based on internal characteristics described in this embodiment includes the following steps:

[0021] The method includes the following steps:

[0022] Step 1. Perform parameter identification on the electrochemical model of the lithium ion battery to obtain the electrochemical model parameters, select one of the parameters from the model parameters, and evenly select multiple values ​​within the variation range of the parameter value, and each parameter Corresponding multiple values ​​and other parameters are substituted into the electrochemical model of the lithium ion battery for simulation, and multiple voltage curves corresponding to constant current discharge are obtained, and the sensitivity of the parameter is obtained according to the multiple voltage curves obtained by the parameter;

[0023] Step 2:...

Example Embodiment

[0087] Embodiment 2: This embodiment further explains the consistency screening and grouping method of lithium-ion batteries based on internal characteristics described in Embodiment 1. In this embodiment, in step 1, the sensitivity of each parameter is obtained. for:

[0088] From the multiple voltage curves obtained for each parameter, N time points are uniformly selected, at each time point, there are multiple voltage values, and the multiple voltage averages obtained at a certain time point according to each parameter The value and the voltage corresponding to a certain value of this parameter at a certain point in time, the sensitivity to obtain this parameter is:

[0089]

[0090] Where, σ j Represents the sensitivity of the j-th model parameter of the battery, i represents the i-th value of the model parameter in the ±10% variation interval, n represents the number of sampling points for the voltage curve family, the maximum value is N, V nij Represents the battery terminal...

Example Embodiment

[0091] Embodiment 3: This embodiment further explains the consistency screening and grouping method of lithium ion batteries based on internal characteristics described in Embodiment 1. In this embodiment, in step 3, the coefficient of variation c v The process of obtaining is:

[0092] Obtain the average value and standard deviation of the parameter according to the multiple values ​​corresponding to each parameter, and obtain the coefficient of variation c of the parameter according to the average value of each parameter and the standard deviation of the parameter v for:

[0093]

[0094] In the formula, σ is the standard deviation of multiple values ​​of the same parameter, and μ is the average value of multiple values ​​of the same parameter.

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Abstract

The invention discloses a lithium ion battery consistency screening and grouping method based on internal characteristics, and relates to the field of electric car battery production and management application. The invention aims at solving a problem that a conventional lithium ion battery screening and grouping method is poor in effect. The method comprises the steps: carrying out the parameter recognition of an electrochemical model of a lithium ion battery, obtaining a plurality of voltage curves of the electrochemical model parameters, and obtaining the sensitivity of the parameter; selecting the parameters with high sensitivity from the plurality of parameters as an alternative feature vector; selecting the parameters with a high recognition degree from the plurality of parameters asan alternative feature vector; selecting the parameters with the sensitivity and recognition degree in the candidate feature vectors as the sensitive parameters; obtaining the fitting degree of the sensitive parameters of the battery; obtaining the weight of the feature parameter according to the sensitive parameter feature vector; correcting the sensitive parameter feature vector according to theweight, and obtaining a corrected matrix; obtaining the classification number of the battery and the grouping information of each battery cell according to the matrix and a clustering algorithm. Thismethod is used for grouping battery cells.

Description

technical field [0001] The invention relates to a lithium-ion battery consistency screening and grouping method based on internal characteristics, and belongs to the application field of electric vehicle battery production and management. Background technique [0002] The potential characteristics of the positive and negative materials of the battery determine that the rated voltage of the single battery is only about 3.7V, while the voltage required to drive an electric vehicle is several hundred volts. Therefore, the battery pack of an electric vehicle needs to be composed of multiple single batteries connected in series and parallel. Due to the current manufacturing process, there will be certain differences between individual cells, which will lead to differences in the performance of each cell. This difference from the manufacturing process is unavoidable. During the use of the battery pack, the performance difference of each battery cell will cause the failure of the ...

Claims

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Application Information

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IPC IPC(8): G01R31/36
Inventor 吕超宋彦孔刘恩会张禄禄李俊夫王立欣
Owner HARBIN INST OF TECH
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