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Measurement method for affection of noise variances on SOC (State of Charge) filtering effect

A technology of noise variance and measurement method, which is applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc. It can solve the problems of low reliability, difficult estimation, short service life, etc., and achieve the effect of high reliability and good safety.

Inactive Publication Date: 2015-04-01
GUANGXI UNIVERSITY OF TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] (2) Lithium batteries are poor in safety, and overcharging and overdischarging must be prevented;
[0007] (3) SOC is an important parameter when electric vehicles are running, and it is used to judge whether the battery is overcharged. However, the lithium battery itself is a closed and complex electrochemical reaction, and its estimation is difficult.
[0008] In the process of realizing the present invention, the inventor found that there are at least defects such as short service life, poor safety and low reliability in the prior art

Method used

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Examples

Experimental program
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Effect test

Embodiment Construction

[0018] Preferred embodiments of the present invention are described below, and it should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0019] According to an embodiment of the present invention, a method for measuring the effect of noise variance on SOC filtering is provided.

[0020] In the technical solution of the present invention, the impact of the measurement noise variance on the SOC filtering effect:

[0021] In order to study the influence of the measurement noise variance on the SOC filtering effect, the same research method is used in and Under the same condition, take the UKF filter method of lithium battery pack as an example, in Matlab / Simulink, adjust the measurement noise variance.

[0022] Different measurement noise variance Under the value, the UKF filtering effect of the lithium battery pack is quite different. As the v...

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PUM

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Abstract

The invention discloses a measurement method for the affection of noise variances on SOC (State of Charge) filtering effect, which includes the following steps: under the condition that P<0> and SOC<0> are not changed, a noise variance is adjusted and measured in Matlab / Simulink; under different measured noise variance R values, the difference of UKF (Unscented Kalman Filter) filtering effects of a lithium battery pack is great, and as the R value is increased, the filtering error is remarkably reduced; according to the measurement, during the Kalman estimation of lithium battery SOC, appropriate SOC<0> and P<0> are chosen. The measurement method for the affection of noise variances on SOC filtering effect can overcome the defects in the prior art, such as short service life, poor safety and low reliability, thus achieving the advantages of long service life, high safety and high reliability.

Description

technical field [0001] The invention relates to the technical field of lithium batteries, in particular to a method for measuring the effect of noise variance on SOC filtering. Background technique [0002] In recent years, the automobile industry has developed rapidly, especially in China. From 2004 to 2012, the number of automobiles in my country has increased. As of 2012, the number of private automobiles in my country has reached 93.09 million, and the growth trend will be obvious in the next few years. A series of problems, such as energy security and environmental pollution, have become the key factors restricting the development of automobiles. In terms of energy security, the growth trend of my country's oil production and consumption from 2004 to 2010. As of 2010, my country's dependence on foreign oil has reached 53%, exceeding the warning line of 50%. The energy consumption of automobiles accounts for nearly 60% of the total energy consumption of refined oil. Acc...

Claims

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Application Information

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IPC IPC(8): G01R31/36
Inventor 刘胜永李昊
Owner GUANGXI UNIVERSITY OF TECHNOLOGY
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