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Life prediction method based on lithium-ion battery aging model

A lithium-ion battery and aging model technology, applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc., can solve the problems of unsuitable and fast life prediction, difficult parameterization, etc., shorten the test cycle, and the method is simple and reliable , the effect of a simple test method

Inactive Publication Date: 2019-10-11
HEFEI GUOXUAN HIGH TECH POWER ENERGY
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Problems solved by technology

However, they are not suitable for fast lifetime predictions because they are difficult to parameterize and only describe a single mechanism

Method used

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  • Life prediction method based on lithium-ion battery aging model
  • Life prediction method based on lithium-ion battery aging model
  • Life prediction method based on lithium-ion battery aging model

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Embodiment Construction

[0029] The present invention will be further described below in conjunction with accompanying drawing:

[0030] The life prediction method of the lithium-ion battery aging model of the present embodiment comprises the following steps:

[0031] S1: Test the capacity retention rate of the lithium battery in the 50% SOC state after storage at different temperatures and the value of the DC internal resistance of the battery with the storage time, specifically including the following steps:

[0032] S11: Charge and discharge the battery at 1C for 3 weeks, and use the discharge capacity as the initial capacity;

[0033] S12: adjust the battery SOC state to 50% SOC through 1C discharge;

[0034] S13: Store the discharged battery at 35°C, 50°C, and 65°C for 60 weeks;

[0035] S14: Estimate the remaining capacity of the battery by measuring the static voltage of the battery and comparing the SOC-OCV curve;

[0036] Among them, storage capacity retention rate = remaining battery capa...

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Abstract

The invention relates to a life prediction method based on a lithium-ion battery aging model. The method comprises the steps that (1) the capacity retention ratio of a lithium battery in a 50% SOC state after storage suspension under different temperature and the value, which changes along with storage time, of direct-current internal resistance of the battery are tested; (2) the battery in different voltage states is stored for the same time under the same temperature, and alternating-current impedance testing and direct-current internal resistance testing are performed; (3) the correlation between calendar life capacity attenuation, alternating-current internal resistance changing and direct-current internal resistance changing and temperature and voltage is analyzed, and the changing process of experimental aging data over time is described through a fitting function; and (4) the model is analyzed according to fitted data, measured effective data is fitted, and battery calendar lifeand battery internal resistance parameters in the future are effectively predicted. Through the method, a truthful life state can be inferred from an accelerated aging test, the test method is simple, advanced equipment and complicated operation are not needed, and the test cycle is greatly shortened.

Description

technical field [0001] The invention relates to the technical field of lithium ion battery life prediction, in particular to a life prediction method of a lithium ion battery aging model. Background technique [0002] Life prediction of Li-ion batteries under real operating conditions is a key issue for reliable battery integration, not only in automotive but also in stationary applications and warranty issues. Due to the long time and high cost of aging tests under actual operating conditions, accelerated aging tests are considered to be an effective method. In order to extrapolate data from accelerated aging tests to real life conditions, aging models are required. So far, simple model methods for predicting lifespan have been reported in purely theoretical articles, but these methods generally lack the ability to extrapolate to unused conditions. These models have been used in parametric studies to help understand ongoing processes. However, they are not suitable for f...

Claims

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Application Information

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IPC IPC(8): G01R31/3835G01R31/392G01R31/389
CPCG01R31/3835G01R31/389G01R31/392
Inventor 宋明杰李新峰杨刘倩
Owner HEFEI GUOXUAN HIGH TECH POWER ENERGY
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