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A Lithium-ion Battery Life Prediction Method Using Digital Twin Technology

A lithium-ion battery, battery life technology, applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc., can solve the problems of inability to consider battery inconsistency, failure to update, etc.

Active Publication Date: 2021-05-04
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The battery life prediction method obtained by the above method still has some obvious defects, such as the inconsistency between batteries cannot be considered, and the update can not be made according to the working conditions and environmental changes.

Method used

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  • A Lithium-ion Battery Life Prediction Method Using Digital Twin Technology
  • A Lithium-ion Battery Life Prediction Method Using Digital Twin Technology
  • A Lithium-ion Battery Life Prediction Method Using Digital Twin Technology

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Embodiment Construction

[0023] The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Apparently, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0024] A lithium-ion battery life prediction method provided by the present invention is realized based on digital twin technology, such as figure 1 As shown, the method specifically includes the following steps:

[0025] I. Build a digital twin of the battery charging process, specifically as figure 2 Shown:

[0026] Step 1. For a specific physical battery i, perform signal collection, obtain data used to characterize its operating state, and store it in the battery data storage platform; the data used to ...

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Abstract

A lithium-ion battery life prediction method using digital twin technology, which can effectively deal with battery inconsistency, changes in environment and working conditions by establishing a digital twin of the battery and generating the aging trajectory of the battery under different working conditions. Combined with the machine learning model, a fast battery life prediction model can be established and regularly updated to cope with changes in working conditions and the environment, which obviously overcomes the shortcomings of existing technologies.

Description

technical field [0001] The invention relates to the field of battery systems, in particular to the estimation of the remaining life of lithium-ion batteries. Background technique [0002] The performance of lithium-ion batteries will gradually decline during use, which has an important impact on the safety and reliability of battery systems and vehicles. Most of the current battery life prediction methods are for specific batteries, based on offline tests of batteries. It is designed based on results, covers fewer application conditions, and changes little in the test environment. The battery life prediction method obtained by the above method still has some obvious defects, such as the inconsistency between batteries cannot be considered, and the update can not be made according to the working conditions and environmental changes. Therefore, how to provide a lithium battery life prediction method that can effectively adapt to the inconsistency between different batteries a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/367G01R31/392
CPCG01R31/367G01R31/392
Inventor 熊瑞田金鹏卢家欢
Owner BEIJING INSTITUTE OF TECHNOLOGYGY