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Retired power battery life prediction method

A power battery and life prediction technology, which is applied in the direction of battery circuit devices, measuring electronics, measuring devices, etc., can solve problems affecting battery life and achieve the effect of improving accuracy

Active Publication Date: 2020-02-04
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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AI Technical Summary

Problems solved by technology

[0004] The power battery life test includes cycle life test and calendar life test, but most of the existing life prediction models are proposed for the cycle life or calendar life, and the actual service life of the battery is affected by the cycle life and the calendar life. Moreover, because the battery The environment where the application is located is ever-changing, and the temperature, discharge system, etc. will affect the life of the battery. Therefore, after the power battery is decommissioned, its life prediction is a very complicated process.

Method used

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Embodiment Construction

[0032] A method for predicting the life of a decommissioned power battery according to the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0033] Taking the 100Ah lithium iron phosphate power battery as an example to set up the experimental group, due to the poor high temperature characteristics of the lithium iron phosphate battery, and the reaction of the battery causes the dissolution of the electrode material, and the electrode material may be embedded in the negative electrode after dissolution, which will further cause serious damage to the negative active material. destroy. The query data shows that the optimal temperature condition of the power battery ranges from 0°C to 65°C, so this experiment group sets the temperature range from 0°C to 60°C.

[0034] Set the discharge rate to 1C, 3C, 5C, and the experimental temperature to 0, 10, 20, 30, 40, 50, 60. There are 21 kinds of multiplication factors of temperat...

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Abstract

The invention discloses a retired power battery life prediction method. The method is used for predicting the service life of screened same-type retired power batteries with the same state parameters.In the charging and discharging process of the power battery, the temperature T, the discharge rate C and the discharge depth DOD influence the capacity decline of the power battery, a power batterylife attenuation curve is obtained by establishing a charging and discharging characteristic curve of the power battery and a power battery life model; a three-dimensional relation graph of the cyclelife about the capacity loss rate and the function relation is established by using the life attenuation curve, and the three-dimensional relation graph is applied to the same type of batteries, so that the performance attenuation condition of the batteries in the whole life cycle can be predicted. According to the method, the service life of the retired power battery can be quickly predicted through a small amount of calculation, and the working efficiency of an enterprise is greatly improved.

Description

technical field [0001] The invention relates to the field of battery management of new energy vehicles, in particular to a method for predicting the service life of decommissioned power batteries. [0002] technical background [0003] Usually, when the remaining capacity of the new energy vehicle power battery is reduced to 70%-80% of the initial capacity, it cannot meet the requirements for vehicle use and becomes a retired power battery. However, decommissioned power batteries are still capable of being used in fields that require lower battery performance after testing, screening, and reorganization. [0004] The power battery life test includes cycle life test and calendar life test, but most of the existing life prediction models are proposed for the cycle life or calendar life, and the actual service life of the battery is affected by the cycle life and the calendar life. Moreover, because the battery The environment where the application is located is ever-changing, ...

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Application Information

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IPC IPC(8): G06F30/20G06F119/04
CPCG01R31/392G01R31/367G01R31/374H02J7/005H02J7/0069G06F30/36G06F2119/04G06F30/20
Inventor 刘志强赵杨甘骏杨迪龙周浩宇陈文凯李一启杨斌
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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