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A dynamic reliability assessment method for lithium-ion batteries based on polynomial fitting and life distribution

A lithium-ion battery, polynomial fitting technology, applied in the field of lithium-ion battery dynamic reliability evaluation based on polynomial fitting and life distribution, can solve the problems of relying on historical data and poor evaluation effect, and achieve wide applicability and evaluation effect. Significant, improved versatility and precision effects

Inactive Publication Date: 2016-06-08
CHINA AEROSPACE STANDARDIZATION INST
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AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the existing method has poor evaluation effect and relies on historical data when evaluating the dynamic reliability of lithium-ion batteries, and proposes a dynamic reliability evaluation of lithium-ion batteries based on polynomial fitting and life distribution method

Method used

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  • A dynamic reliability assessment method for lithium-ion batteries based on polynomial fitting and life distribution
  • A dynamic reliability assessment method for lithium-ion batteries based on polynomial fitting and life distribution
  • A dynamic reliability assessment method for lithium-ion batteries based on polynomial fitting and life distribution

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Embodiment

[0076] This example adopts the lithium-ion battery capacity data of NASA, utilizes the method of the present invention to carry out dynamic reliability evaluation, and concrete steps are as follows:

[0077] Step 1. Obtain the working condition conversion factor, obtain the functional relationship of the working condition conversion factor with respect to the virtual failure threshold, and normalize the real-time monitoring data.

[0078] According to the capacity data of 4 sets of lithium-ion batteries operated at 24°C and 3 sets of lithium-ion batteries operated at 43°C, a cubic polynomial function was used to model the function of the working condition conversion factor with respect to the capacity (i.e., the virtual failure threshold), The function of the operating condition conversion factor with respect to the virtual failure threshold is obtained as:

[0079] k=f(L)=(-0.1349×L 3 +0.7187×L 2 -1.276×L+0.7551)×10 5

[0080] According to the method in step 1, the normal...

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Abstract

The invention discloses a method for assessing dynamic reliability of lithium ion batteries on the basis of polynomial fitting and life distribution. The method includes the steps of firstly, acquiring function relationship between an operating condition conversion factor and a virtual failure threshold; secondly, acquiring a standard degradation path of a product; thirdly, acquiring state offset of the product at current moment; fourthly, acquiring degree of state offset; and fifthly, acquiring dynamic real-time reliability of the product at each moment. The method has the advantages that like product information and real-time monitoring information of products to be assessed are fully utilized, assessing the dynamic reliability of the lithium ion batteries is achieved, assessing is significantly effective, and the method compared with the existing reliability assessment method provides significantly improved universality and precision.

Description

technical field [0001] The invention belongs to the technical field of reliability evaluation of lithium-ion batteries, and in particular relates to a dynamic reliability evaluation method of lithium-ion batteries based on polynomial fitting and life distribution. Background technique [0002] As the degree of automation of the equipment is gradually improved, the structure is also becoming more and more complex. When a certain part fails, it is likely to affect other parts or even the entire unit, which may not only cause huge economic losses, but may even endanger people. Safety. In order to minimize or avoid such major accidents, on the one hand, it is a good solution to continuously improve product quality and reliability, which is also the goal that product designers should continue to pursue; on the other hand, accurate troubleshooting Diagnose, discover hidden fault locations, types, and states in advance, predict possible developments based on historical data, and t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
Inventor 栾家辉刘正高吴雷曾辉顾长鸿单添敏
Owner CHINA AEROSPACE STANDARDIZATION INST
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