A Lithium Battery Life Prediction Method Based on Degradation Trajectory Coordinate Reconstruction and Multiple Linear Regression

A technology of multiple linear regression and degradation trajectory, applied in design optimization/simulation, calculation, special data processing applications, etc., can solve problems such as large iteration errors, reduce R&D costs, shorten R&D cycles, and enhance the core competitiveness of enterprises Effect

Active Publication Date: 2020-02-07
BEIHANG UNIV
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Problems solved by technology

Using the extrapolation method for life prediction requires iterative estimation of the future state, resulting in a large number of iterative errors, so this method is only suitable for short-term state prediction and late remaining service life prediction

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  • A Lithium Battery Life Prediction Method Based on Degradation Trajectory Coordinate Reconstruction and Multiple Linear Regression
  • A Lithium Battery Life Prediction Method Based on Degradation Trajectory Coordinate Reconstruction and Multiple Linear Regression
  • A Lithium Battery Life Prediction Method Based on Degradation Trajectory Coordinate Reconstruction and Multiple Linear Regression

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Embodiment Construction

[0020] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0021] The flow of the lithium battery life prediction method based on degradation trajectory coordinate reconstruction and multiple linear regression in the present invention is as follows figure 1 As shown, it specifically includes the following steps:

[0022] The first step is to truncate the performance degradation data of similar batteries throughout their lifespan according to the performance degradation of the known data of the newly developed battery, and obtain similar battery data with the same amount of degradation as the newly developed battery;

[0023] In the second step, use the data smoothing method to smooth the performance degradation data of the newly developed battery and the truncated similar battery, so that the performance degradation data is completely monotonically decreasing;

[0024] The third step is to exchange th...

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Abstract

The invention provides a lithium battery life prediction method based on degradation path coordinate reconstruction and multiple linear regression. Firstly, a new sampling rule is used for carrying out coordinate reconstruction on degradation data of a newly-developed battery and truncated similar batteries; then, the mapping relation between the life of the similar batteries and the life of the newly-developed battery is established through reconstruction data; finally, the life of the newly-developed battery is calculated through a service life prediction model. According to the method, the service life of the newly-developed battery can be predicted with the help of full-life degradation data of the similar batteries under different formulations or structures or use environments, the test time of a development stage life test can be greatly shortened, the test amount of the development stage life test can be greatly reduced, the development period of new products can be shortened, the cost at the development stage can be reduced, and core competitiveness of enterprises can be improved.

Description

technical field [0001] The invention relates to the technical field of lithium battery health management, in particular to a lithium battery life prediction method based on degradation trajectory coordinate reconstruction and multiple linear regression. Background technique [0002] Lithium-ion batteries are widely used in products such as aerospace (such as aircraft, satellites), ships (such as aircraft carriers, ships), vehicles (electric vehicles, general automobiles) and consumer electronics (mobile phones, cameras, notebooks, mobile power supplies). The quality of performance directly affects the operation safety of the entire system, the completion of missions and the quality of life of consumers. In order to prolong the service life of batteries, a lot of related research has been carried out, such as exploring new electrode and electrolyte materials, designing new battery structures, and studying the evolution mechanism of battery performance degradation, etc. For l...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20
CPCG06F30/20G06F2119/04
Inventor 刘红梅李连峰吕琛
Owner BEIHANG UNIV
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