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Multi-feature parameter battery equivalent grouping method

A technology of characteristic parameters and grouping method, which is applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problem of battery grouping that is not suitable for multiple characteristic parameters, and achieve the effect of fast multi-characteristic parameter grouping

Inactive Publication Date: 2015-08-26
HARBIN INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to solve the problem that the existing battery grouping method is not suitable for grouping batteries with multiple characteristic parameters, the present invention proposes a battery equal grouping method with multiple characteristic parameters

Method used

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  • Multi-feature parameter battery equivalent grouping method
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  • Multi-feature parameter battery equivalent grouping method

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specific Embodiment approach 1

[0045] Specific implementation mode 1. Combination figure 1 Describe this embodiment, the battery equal grouping method with multiple characteristic parameters described in this embodiment, the specific steps of this method are:

[0046] Step 1. Extract characteristic parameters of n batteries to be grouped; n is a positive integer;

[0047] Each battery of the n batteries to be grouped is subjected to a battery test, and the characteristic parameters of each battery to characterize the battery characteristics are obtained, and the characteristic parameters of the battery characteristics include battery capacity, ohmic internal resistance of the battery and polarization internal resistance parameters of the battery; wherein, The number of batteries to be grouped n is greater than N 0 , N 0 = Number of groups K × number of battery cells in the group M; both K and M are positive integers;

[0048] Step 2. Using the Leite criterion in the gross error processing theory to make ...

specific Embodiment approach 2

[0077] Specific embodiment 2. This embodiment is a further description of the method for grouping batteries with multiple characteristic parameters according to specific embodiment 1. In this embodiment, according to the multi-dimensional feature points of each battery, the aggregate The distance from the center of the class is equalized to the number of batteries in the K battery packs, so that the number of batteries in each battery pack is M. The specific method is:

[0078] First, find the battery pack with the largest number of batteries from the K battery packs, and sort the distances from the multi-dimensional feature points of the batteries in the pack to the cluster center of the battery pack in the order from near to far, and then according to the Mth in the sequence The distance from the multi-dimensional feature point of the following battery to the clustering center of the battery group with the number of batteries less than M is used to allocate the battery after ...

specific Embodiment approach 3

[0079] Specific Embodiment 3. This embodiment is a further description of the multi-characteristic parameter grouping method for battery equivalence described in Embodiment 1. In this embodiment, the clustering centers of the k battery packs that have been exchanged between groups are calculated by formula:

[0080] μ k = Σ p = 1 M 1 { c ( p ) = k } x ( p ) Σ p = 1 M ...

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Abstract

A multi-feature parameter battery equivalent grouping method belongs to the field of grouping application of power batteries. The problem that the existing battery grouping method is unsuitable for the grouping of the batteries with multiple parameters. According to the invention, the method comprises the steps of: extracting the feature parameters, adopting the Laiyite criterion in a gross error processing theory to remove the batteries with the feature parameters with coarse values from n batteries to be grouped; counting the quantity of the residual batteries after the batteries with the feature parameters with the coarse values are removed; performing first grouping on N0 batteries to be measured; equalizing the battery quantity in K battery packs; equalizing the battery quantity of the battery packs, exchanging the batteries among the battery packs, recalculating clustering centers, and when values of the clustering centers of all battery packs obtained by inter-group exchange of two adjacent times are approximately equal, finishing the multi-feature parameter battery equivalent grouping. The invention is suitable for the grouping of the multi-feature parameter batteries.

Description

technical field [0001] The invention belongs to the field of group application of power batteries. Background technique [0002] When battery manufacturers are performing power battery matching, there are often more than one parameters describing battery characteristics, such as: battery capacity, ohmic internal resistance, polarization internal resistance, etc. These parameters reflect the advantages and disadvantages of battery characteristics from different aspects. None of these parameters can be ignored when grouping batteries. In this way, a problem is faced: how to group the batteries according to the multiple characteristic parameters of the batteries, so as to ensure that the characteristics of the batteries in the same group are as similar as possible after grouping. The purpose of battery grouping is to form batteries with similar characteristics into battery packs. Usually, the number of batteries in a battery pack of a manufacturer and a type is fixed. Theref...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/2321
Inventor 朱春波李晓宇梅尊禹魏国逯仁贵胡泽徽
Owner HARBIN INST OF TECH
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