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Lithium ion battery performance online diagnostic method

A lithium-ion battery and diagnostic method technology, which is applied in the field of online diagnosis of lithium-ion battery performance, can solve the problems of one-sidedness of analysis, lack of real-time performance and practicability of battery evaluation methods, and achieve the effect of overcoming one-sidedness

Inactive Publication Date: 2017-09-22
杭州科工电子科技有限公司
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  • Application Information

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Problems solved by technology

[0004] The present invention mainly solves the problems of lack of real-time performance and practicability in the battery evaluation method in the prior art, and the problem of one-sided analysis, and provides an online diagnosis method for lithium-ion battery performance based on gray correlation theory and reliable performance analysis

Method used

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  • Lithium ion battery performance online diagnostic method

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Embodiment

[0058] In this embodiment, a method for online diagnosis of lithium-ion battery performance, such asfigure 1 shown, including the following steps:

[0059] S1. Determine the weight of each index that affects battery performance; the process includes:

[0060] S11. According to the charging and discharging performance and parameters of the battery, determine the indicators that affect the performance of the battery;

[0061] According to the evaluation of battery charging and discharging performance and related parameters, seven important indicators for diagnosing battery performance are determined, namely charging ohmic internal resistance, discharging ohmic internal resistance, energy efficiency, charging average power, discharging average power, actual capacity and polarization Voltage. These seven indicators constitute the indicator system for battery performance evaluation.

[0062] The specific parameter values ​​are obtained as follows:

[0063] (1)R charge : Chargin...

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Abstract

The invention relates to a lithium ion battery performance online diagnostic method, which solves the problems that a battery evaluation method in the prior art is low in real-time performance and practicality and the analysis is one-sided. The lithium ion battery performance online diagnostic method comprises the steps of: determining weight of each index which affects performance of a battery; acquiring an original matrix and a reference matrix according to a detection value of each index of the battery, and standardizing the original matrix and the reference matrix; then using grey correlation analysis to calculate correlation coefficients of the indexes of the battery according to the standardized original matrix and the standardized reference matrix; calculating correlation degrees of the batteries; and diagnosing performance of each battery according to the correlation degree. The lithium ion battery performance online diagnostic method diagnoses the battery performance by adopting the gray correlation theory for various kinds of indexes of the battery, overcomes the one-sidedness of taking a single index as an evaluation criterion, and provides a reliable theoretical basis for the performance diagnosis and maintenance of the battery.

Description

technical field [0001] The invention relates to the technical field of batteries, in particular to an online performance diagnosis method for lithium-ion batteries. Background technique [0002] With the vigorous development of electric energy storage, large-capacity energy storage batteries have attracted much attention as the main energy storage components. However, single cells are limited by their performance and parameters such as voltage, capacity, power, and energy, and cannot be used alone. Only by connecting them in series and parallel can they meet the requirements of the energy storage system. The grouping of batteries has high requirements on the consistency of the batteries. Even if the single cells are grouped after reliable screening, the consistency of the single cells in the battery pack will gradually deteriorate with the operation of the energy storage system, reducing the reliability of the system. . Therefore, it is very necessary to establish an accur...

Claims

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Application Information

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IPC IPC(8): G01R31/36
CPCG01R31/388G01R31/367G01R31/385G01R31/389
Inventor 刘爱华宋欣民王荣强刘平根
Owner 杭州科工电子科技有限公司
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