Power battery life prediction method

A technology for life prediction and power battery, which is applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc., can solve the problems of large prediction errors and inconsistency with the actual working conditions of batteries, and achieves the goal of avoiding prediction errors and improving accuracy. Effect

Inactive Publication Date: 2017-09-26
ANHUI JIANGHUAI AUTOMOBILE GRP CORP LTD
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Problems solved by technology

[0004] The purpose of the present invention is to provide a power battery life prediction method, which is used to solve the problem that

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Embodiment Construction

[0033] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0034] The present invention provides an embodiment of a power battery life prediction method, such as figure 1 As shown, the steps include:

[0035] Step S1. Determine the battery capacity decay stage according to the battery cell life decay rate;

[0036] First of all, it needs to be explained that the present invention is based on lithium batteries as an example. Therefore, the angles described below are all based on lithium batteries. Of course, those skilled in the art can obtain inspiration from the present invention and apply the...

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Abstract

The invention discloses a power battery life prediction method. The power battery life prediction method comprises the following steps: determining battery capacity fading stages according to battery cell life decay rate; establishing a capacity fading model for capacity retention rate with chemical reaction rate and time; obtaining a cycle life decay module and a calendar life decay module in combination with the battery capacity fading stages; training the cycle life decay module and the calendar life decay module on the basis of battery cell test data and determining parameters in the models; generating a cycle life decay curve and a calendar life decay curve according to the cycle life decay module and the calendar life decay module; superposing the two curves in a predetermined ratio to obtain a battery life prediction curve. On the basis of Arrhenius equation an internal resistance increase principle, multiple variables are provided for comprehensive consideration, and the battery life prediction curve bettering meeting the actual use conditions of a battery is obtained, so that larger prediction errors are effectively avoided, and the accuracy of a prediction model is improved substantially.

Description

technical field [0001] The invention relates to the field of power battery development, in particular to a power battery life prediction method. Background technique [0002] In recent years, all countries are actively researching new energy vehicles, and lithium-ion batteries are more and more used in the field of power batteries due to their high energy density, high working voltage, long cycle life and low self-discharge rate. [0003] The development process of lithium-ion power batteries includes electrical performance, core functions, life, safety, etc. Among them, life development is the top priority. Generally speaking, power battery life testing includes cycle life testing and calendar life testing, but currently Some life prediction models are proposed purely for cycle life and calendar life, which do not conform to the working conditions of the combination of cycle life and calendar life in the actual use of batteries, and the prediction error is large; moreover, ...

Claims

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Application Information

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IPC IPC(8): G01R31/36
CPCG01R31/367G01R31/392
Inventor 朱道吉秦李伟夏顺礼赵久志吴飞驰
Owner ANHUI JIANGHUAI AUTOMOBILE GRP CORP LTD
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