Rapid lithium battery capacity degradation identification method and device

An identification method and a technology for identifying devices, which are applied to measuring devices, measuring electrical variables, and measuring electricity, can solve the problems of waste of test costs, impact of overall life analysis, and long time consumption, and achieve stable calculation results.

Active Publication Date: 2021-02-05
BEIHANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Second, the test data of the diving battery sample has an impact on the overall life analysis
The cost of battery charge and discharge cycle test is high and time-consuming, so the test cannot be terminated in time when the diving point is about to appear or shortly after it appears, which brings a large waste of test cost, including economic cost and time cost

Method used

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  • Rapid lithium battery capacity degradation identification method and device
  • Rapid lithium battery capacity degradation identification method and device
  • Rapid lithium battery capacity degradation identification method and device

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Experimental program
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specific Embodiment approach

[0060] In practice, lithium-ion battery capacity degradation data contains a lot of noise. These noises show the characteristics of local fluctuations in the degradation curve, but have no significant impact on the long-term degradation trend. Therefore, in order to ensure the robustness of data processing, it is necessary to perform smoothing and denoising preprocessing on capacity degraded data. In the present invention, the locally weighted scatter-point regression smoothing (LOWESS) method is used to process the capacity degradation data, and the long-term trend is retained while removing the local fluctuation in the degradation process. The specific implementation is as follows:

[0061] 1. Take a point x 1 As the center, determine a data with an interval length of f, which depends on q=fn, where q is the number of observations participating in local regression, f is the number of observations participating in local regression to the number of observations Proportion, ...

specific Embodiment

[0101] The present invention uses the test data of Ningde Times New Energy Technology Co., Ltd. to verify the feasibility and effectiveness of the proposed lithium-ion battery life prediction method (note: the battery used in the test is a pouch battery specially used in the product design stage , which differ from the batteries used in the company's real products).

[0102] Lithium battery samples under 25°C test conditions are selected for analysis and verification. This method uses four samples for case analysis, including two diving samples and two normal samples. The numbers of the four samples are marked as follows:

[0103] Normal samples: N1, N2

[0104] Diving samples: D1, D2

[0105] The original degradation curves of the four battery samples are as Figure 5 Shown:

[0106] Both the diving recognition and labeling based on the characteristic angle and the diving recognition method based on the characteristic angle trend need to smooth and denoise the battery cap...

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Abstract

The invention discloses a rapid lithium battery capacity degradation identification method and device. The method comprises the following steps: acquiring a lithium battery degradation curve of a lithium battery charge-discharge cycle after data preprocessing, the lithium battery degradation curve comprising a starting point Q1 and an ending point Q2; determining a characteristic included angle ofthe lithium battery degradation curve according to the bending degree of the lithium battery degradation curve; comparing the characteristic included angle of the lithium battery degradation curve with a characteristic included angle diving threshold value; and identifying whether the lithium battery belongs to a rapid lithium battery capacity degradation sample or not according to a comparison result.

Description

technical field [0001] The invention relates to the technical field of lithium batteries, in particular to a method and device for identifying lithium battery capacity diving. Background technique [0002] Lithium-ion batteries are currently the main energy storage devices widely used in military electronic products, avionics devices, electric vehicles and various portable electronic devices (such as laptops, digital cameras, tablet computers, mobile phones, etc.), due to their light weight, discharge With the characteristics of low efficiency and long life, lithium-ion batteries have basically replaced nickel-cadmium batteries and nickel-metal hydride batteries. At the same time, due to the current concern about climate change and the urgency of new energy development, lithium-ion electric vehicles have developed rapidly. Many automobile manufacturers and research institutions are committed to developing new energy vehicles that can replace traditional petroleum, such as Ge...

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 马剑马梁宋登巍郝杰丁宇吕琛
Owner BEIHANG UNIV
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