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SOC estimation method based on reduced particle unscented transformation

A traceless transformation, particle technology, used in the measurement of electrical variables, measuring devices, instruments, etc.

Inactive Publication Date: 2019-11-12
SOUTHWEAT UNIV OF SCI & TECH
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  • Application Information

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Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies of the existing lithium-ion battery pack SOC estimation method, provide a lithium-ion battery pack SOC estimation method based on simplified particle traceless transformation, and solve the problem of accurate estimation of the SOC value in the lithium-ion battery pack application

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  • SOC estimation method based on reduced particle unscented transformation
  • SOC estimation method based on reduced particle unscented transformation

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Embodiment Construction

[0010] The method for estimating the SOC of the lithium-ion battery pack of the present invention based on the unscented transformation of simplified particles will be described in further detail below in conjunction with the accompanying drawings; the present invention proposes An SOC estimation method based on simplified particle unscented transformation for lithium-ion battery packs is proposed. Through the intermittent aging degree measurement and real-time calibration calculation process, the effective characterization of lithium-ion battery group SOC estimation is realized; based on simplified particle unscented transformation The SOC estimation method based on the capacity normalization characterization, obtains the mathematical expression of the influence of aging factors through the calculation of the influence coefficient of the aging state on the power; the SOC estimation method based on the simplified particle traceless transformation is The synchronous acquisition ...

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Abstract

The invention relates to an SOC estimation method based on reduced particle unscented transformation, and belongs to the filed of new energy measurement and control. The method aims at an accurate estimation target of an SOC value of a lithium ion battery pack and realizes effective iterative calculation of the SOC value through reduced three-particle and a double-Sigma processing process. The method realizes the simplification of an iterative calculation process through reduced three-particle unscented transformation on the basis of weight coefficient calculation of a sample data sequence. The method realizes weight coefficient vector pretreatment on the basis of the weight coefficient calculation. The method obtains a correction calculation method of noise influence by using the double-Sigma processing process of a first step and a fourth step in unscented Kalman on the basis of correction analysis of process noise and observation noise. The method improves the iterative calculationprocess based on the unscented Kalman, concretely applies the idea of the reduced particle unscented transformation to the prediction and correction, realizes mathematical iterative operation of the SOC value, and provides a method reference for the construction of an SOC estimation model.

Description

technical field [0001] The invention relates to an SOC estimation method based on simplified particle traceless transformation. The method aims at accurately estimating the SOC value of lithium-ion battery packs, and proposes a simplified particle traceless transformation method, through simplified three-particle and double sigma processing The process realizes the effective iterative calculation of the SOC value of the lithium-ion battery pack; the simplified particle unscented transformation method is based on the calculation of the weight coefficient of the sample data sequence, and realizes the simplified processing of the iterative calculation process by performing a simplified three-particle unscented transformation; The simplified particle unscented transformation method is based on setting the initial weight coefficient and dimension as 1, combined with the calculation of each weight coefficient, to realize the parameter preprocessing of the weight coefficient vector in...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/367G01R31/387
Inventor 王顺利于春梅李小霞李永桥侯广海张晓琴熊丽英乔静陈蕾张丽王瑶潘小琴李进凌利袁会芳苏杰谢非
Owner SOUTHWEAT UNIV OF SCI & TECH