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Lithium battery state-of-health estimation method

A health state, lithium battery technology, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., can solve the problems of long training time, weak generalization ability, troublesome parameter adjustment, etc., to achieve high stability, robustness and The effect of strong generalization ability

Inactive Publication Date: 2020-04-21
FUZHOU UNIV
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

Although these methods can greatly improve the accuracy of prediction, they still have problems such as troublesome parameter adjustment, too long training time, and weak generalization ability.

Method used

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  • Lithium battery state-of-health estimation method
  • Lithium battery state-of-health estimation method
  • Lithium battery state-of-health estimation method

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Embodiment Construction

[0046] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0047] It should be pointed out that the following detailed description is exemplary and is intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0048] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combina...

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Abstract

The invention relates to a lithium battery state-of-health estimation method, which comprises the following steps of: selecting battery capacity as a state variable, and extracting a plurality of characteristics as input and output data of a subsequent model according to correlation analysis so as to simulate an aging process of a lithium battery; dividing the sample data into a training set and atest set, establishing a regression model based on a gradient boosting decision tree, performing parameter optimization on the regression model, and performing sample training to obtain a mixed algorithm regression training model; and estimating the state-of-health of the lithium battery under the test set by using the mixed algorithm regression training model. The lithium battery state-of-health estimation method has the advantages of high precision, high generalization ability and the like, and can precisely and effectively estimate the state-of-health of the lithium battery.

Description

technical field [0001] The invention relates to the technical field of battery design, in particular to a method for estimating the state of health of a lithium battery. Background technique [0002] With the continuous development of the automobile industry, people are paying more and more attention to the environmental pollution caused by automobile exhaust. Electric vehicles have contributed to solving environmental problems such as global warming due to their advantages in terms of performance and efficiency. At present, lithium-ion batteries have gradually become the most widely used battery type due to their high energy density, good stability, and long cycle life. However, even if a battery management system (BMS) has been applied to manage and control lithium batteries, these advantages of lithium batteries will have some potential threats, such as safety and service life. Among these problems, how to accurately estimate the battery state of health (SOH) of lithium...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/392G01R31/367
CPCG01R31/367G01R31/392
Inventor 陈志聪姚远吴丽君程树英林培杰
Owner FUZHOU UNIV
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