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Multi-parameter weighted method for judging battery performance

A storage battery and multi-parameter technology, applied in the direction of measuring electricity, measuring electrical variables, instruments, etc., can solve problems such as complex algorithms, low accuracy, and difficult implementation, and achieve the effect of simple calculation methods and high accuracy

Active Publication Date: 2021-02-09
QINHUANGDAO POWER SUPPLY COMPANY OF STATE GRID JIBEI ELECTRIC POWER COMPANY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Among them, the methods used to estimate battery SOC mainly include discharge test method, ampere-hour integration method, open circuit voltage method, neural network method, Kalman filter method, etc., but these methods have too large estimation error, low accuracy, or the algorithm is too complicated , the implementation is very difficult, and it stays in the stage of theoretical analysis, which is not easy to promote
The battery internal resistance monitoring and analysis method is highly implementable and easy to implement, but the performance of the battery can be inferred only through the internal resistance of the battery. For batteries with similar performance, the reliability is too low

Method used

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  • Multi-parameter weighted method for judging battery performance
  • Multi-parameter weighted method for judging battery performance
  • Multi-parameter weighted method for judging battery performance

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Embodiment 1

[0035] The multi-parameter weighted method for judging battery performance of the present invention comprises the following steps:

[0036] ① Collect the voltage of each cell in real time and record it every hour;

[0037] ②Automatically conduct an internal resistance test every month, and record the internal resistance and discharge voltage of each battery in this internal resistance test;

[0038] ③ Calculate the historical standard deviation σ of the voltage of the single cell ui :

[0039]

[0040] In the formula: U ij : The voltage of the i-th battery at the j-th moment; μ ui : Average value of n records of battery cell voltage in section i; n: number of historical records; σ ui : Historical standard deviation of monomer voltage;

[0041] ④ Calculate the historical standard deviation σ of the internal resistance of the monomer ri :

[0042]

[0043] Where: R ij : The internal resistance of the jth cell of the i-th battery; μ ri : average value of n records ...

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Abstract

The invention relates to the technical field of operation and maintenance and monitoring on a substation DC system, specifically, relates to a method for determining battery performance by multi-parameter weighting, comprising the following steps of : 1 collecting the cell voltage of each cell in real time and recording it once every hour; 2 automatically performing an internal resistance test every month, and recording the internal resistance and discharge voltage of each battery in the internal resistance test. The method for determining battery performance by multi-parameter weighting assigns weights according to categories, and then calculates the integrated value of each battery. The battery with the highest combined value is the worst performing battery. The calculation method is simple and accurate.

Description

technical field [0001] The invention relates to the technical field of operation and maintenance monitoring of a substation direct current system, in particular to a multi-parameter weighted method for judging battery performance. Background technique [0002] As the last line of defense for the reliable operation of the DC system, the valve-regulated lead-acid battery plays an extremely important role in the backup power system. Because the batteries in the power system are used in series, the performance difference between the batteries will lead to uneven voltage distribution during charging and discharging, so that it is impossible to ensure that each battery can reach the standard charging and discharging, which will further accelerate the aging of the battery and reduce the life of the entire battery pack. Therefore, it is crucial to grasp the poor battery and maintain it in time. [0003] The existing battery performance analysis methods mainly include battery SOC es...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/388G01R31/389
Inventor 黄彬张伟覃朝云吕志瑞孙云生毛婷闫玉鑫马鑫晟
Owner QINHUANGDAO POWER SUPPLY COMPANY OF STATE GRID JIBEI ELECTRIC POWER COMPANY
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