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Cluster analysis based lithium battery unit matching method
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A technique for battery cell, cluster analysis
Active Publication Date: 2014-02-05
HANGZHOU GOLD ELECTRONICS EQUIP CO LTD
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Problems solved by technology
The initial performance inconsistency between the individual cells in the battery pack, the poor performance of the single cells in the battery pack will cause the better performance of the battery to fail to perform, and will accelerate the decay of the capacity of some single cells, so that Premature failure of the battery pack
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Embodiment 1
[0134] refer to figure 1 , a method for grouping lithium battery cells based on cluster analysis, comprising the following steps:
[0135] (1) For the battery unit set B={B that needs to be matched 1 , B 2 ...B sum} for group matching, sum is the total number of battery units that need to be grouped, sum>1; Any battery unit set with the number of battery units greater than 1 can enter the next step of grouping, and the battery unit set with the number of elements is 1 means that the battery units in this set cannot be used in groups with any other battery units, and are formed independently ;
[0136] (2) Based on the battery unit set B'={B obtained in the previous step 1 , B 2 ...B m}, m is the number of battery cells that need to be further assembled to enter this step, 1<m≤sum; select a combination of more than one factor in health status, self-discharge rate, internal resistance, open circuit voltage, charging efficiency, and cycle times The battery unit set B' is ...
Embodiment 2
[0147] refer to figure 2 , the present embodiment also includes step (3) on the basis of embodiment 1:
[0148] (3) to the new group of battery cell B "={B that step (2) produces 1 , B 2 ...B z} for grouping, z is the number of battery cells that need to be further grouped, 1<z≤m and z is an integer;
[0149] Select the voltage data at point a as the matching data, a is an integer greater than 1; the voltage data at any point includes z voltage values, and the SOC value corresponding to each voltage value is the same, and the charge and discharge state is the same; the initial setting of each battery The unit is a class, namely C i ={B i}, i=1, 2, ..., z, C i is the i-th battery cell class, the number of classes z′=z;
[0150] Any two types of C h , C k distance d kh The calculation method is as follows:
[0151] when class C h , C k When both contain only one battery cell, set C h ={B i}, C k ={B j}:
[0152] d kh ...
Embodiment 3
[0166] refer to image 3 , the present embodiment also includes steps (3), (4) and (6) on the basis of embodiment 1:
[0167] (3) to the new group of battery cell B "={B that step (2) produces 1 , B 2 ...B z} for grouping, z is the number of battery cells that need to be further grouped, 1<z≤m and z is an integer;
[0168] Select the voltage data at point a as the matching data, a is an integer greater than 1; the voltage data at any point includes z voltage values, and the SOC value corresponding to each voltage value is the same, and the charge and discharge state is the same; the initial setting of each battery The unit is a class, namely C i ={B i}, i=1, 2, ..., z, C i is the i-th battery cell class, the number of classes z′=z;
[0169] Any two types of C h , C k distance d kh The calculation method is as follows:
[0170] when class C h , C k When both contain only one battery cell, set C h ={B i}, C k ={B j}:
[0171] d ...
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Abstract
The invention relates to a cluster analysis based lithium battery unit matching method which comprises the following steps of: (1) classifying battery units according to the types and the rated capacities of batteries, dividing the batteries with the same type and rated capacity in a group, and then furthering matching all battery unit sets with more than one battery unit; (2) selecting more than one factor combination of health status, self-discharge rate, internal resistance, open-circuit voltage, charging efficiency and cycle index for matching the battery unit sets; and after classification, completing matching of all battery unit sets with more than one battery unit, or further matching. The cluster analysis based lithium battery unit matching method can be used for comprehensively estimating all factors influencing the performance of the batteries, thus improving the consistency of the initial performance of the batteries; abd meanwhile, the probability of battery performance mutation in the using process of the batteries can be effectively reduced, the service efficiency of the battery units can be improved, and the service life of groups of battery units can be prolonged.
Description
technical field [0001] The present invention relates to a method for grouping lithium battery units, in particular to a method for grouping lithium battery units based on cluster analysis. The method for grouping lithium battery units based on cluster analysis can be applied to the sorting and grouping of various battery units. group to effectively sort out battery cells with better performance consistency. Background technique [0002] Lithium batteries have become ideal for portable electronic devices and environmentally friendly electric vehicles due to their high mass ratio and volume specific capacity, high output voltage, low self-discharge rate, wide operating temperature range, fast charge and discharge, and no memory effect. power supply. Therefore, the lithium battery market has developed very rapidly in recent years, and the market demand has increased year by year. However, in applications such as electric vehicles, hybrid vehicles, and energy storage power sta...
Claims
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Application Information
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