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Similar product life migration screening method and system

A product life and product technology, applied in the field of similar product life migration screening methods and systems, can solve problems such as difficulty in obtaining enough battery test data and remaining life prediction models

Active Publication Date: 2020-12-04
BEIHANG UNIV
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AI Technical Summary

Problems solved by technology

Since the number of test cycles of the predicted lithium battery should be as small as possible, it is difficult to obtain enough battery test data to meet the design and development needs of the remaining life prediction model

Method used

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  • Similar product life migration screening method and system
  • Similar product life migration screening method and system
  • Similar product life migration screening method and system

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Experimental program
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Embodiment 1

[0055] Such as figure 1 As shown, a kind of similar product migration sample screening method provided by the invention comprises:

[0056] Step S101 preprocessing the short-term cycle life test data of products with similar formulas to be tested to obtain target sample data, and preprocessing battery life test capacity data of other formulas to obtain multiple training data;

[0057] Specifically, the pretreatment includes:

[0058] Eliminate the unstable initial data and data that do not reflect the degradation trend in the short-term test sample data of the formula battery to be tested and the life test capacity database of other formula batteries;

[0059] Smoothing is performed on the deleted short-term test sample data and the data in the full-life test capacity database to obtain the target sample data and prediction training data.

[0060] Further, before performing the smoothing process, it also includes:

[0061] Normalize the deleted short-term test sample data a...

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Abstract

The invention discloses a similar product life migration prediction method and system, and relates to the technical field of similar product migration learning, and the method comprises the steps: preprocessing to-be-tested formula similar product short-term cycle life test data and other formula battery full-life test data, and obtaining target sample data and a plurality of pieces of training data; obtaining migratable sample data for predicting the service life of the cross-formula similar product by carrying out minimum screening on curve form, capacity degradation rate similarity, servicelife distribution similarity and distance measurement, carrying out service life migration prediction on the cross-formula similar product by utilizing a service life prediction model adapted to themigratable sample data, and obtaining a life prediction result. According to the invention, the accurate prediction of the cross-formula residual life of the lithium ion battery is realized, the prediction accuracy can reach 99.9% at most, the test time and cost in the design and development process of the lithium battery can be effectively saved, and the method has considerable economic benefitsand application value.

Description

technical field [0001] The invention relates to the technical field of similar product migration life prediction, in particular to a similar product life migration screening method and system. Background technique [0002] With the development of energy storage technology and energy industry, lithium-ion batteries are widely used in military electronic products, avionics devices, electric vehicles and various portable electronic devices (such as notebooks) due to their advantages of light weight, low discharge rate and long life. Computers, digital cameras, tablet computers, mobile phones, etc.) are the main energy storage devices. Cycle life is an important design performance of lithium battery products. In the design and development process of lithium batteries, in order to accurately obtain the life of batteries with different formulas in the design matrix, and provide feedback for formula selection and design optimization, it is necessary to carry out cycle life tests f...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G01R31/367G01R31/392G01R31/396G06F119/04
CPCG06F30/27G01R31/367G01R31/392G01R31/396G06F2119/04
Inventor 马剑尚芃超邹新宇丁宇吕琛
Owner BEIHANG UNIV
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