Method for predicting service life of satellite subsample cadmium-nickel storage battery based on performance degradation

Abstract

The invention proposes a method for predicting the service life of a satellite subsample cadmium-nickel storage battery based on performance degradation, and the method comprises the steps: starting from product failure mechanism analysis, analyzing the correlation of cadmium-nickel storage battery failure and a degradation failure rule; combining with a performance test and performance experiment in a manufacturing process of the cadmium-nickel storage battery; obtaining the complete performance information related with the service life; carrying out the prediction of the service life of the cadmium-nickel storage battery. Therefore, the method provides a complete prediction process of the service life of the battery of this type. Therefore, the invention opens up a new way to the prediction of the service life of the cadmium-nickel storage battery through the performance degradation data, and the method can meet the requirements of in-research and on-orbit service life prediction and analysis of the cadmium-nickel storage battery of a satellite.

Description

technical field [0001] The invention relates to a method for predicting the service life of cadmium-nickel accumulator batteries based on performance degradation, belonging to the technical field of satellite service life and reliability. Background technique [0002] Nickel-cadmium battery is a key product that determines the life of satellites. Its development has notable characteristics such as small samples, high life requirements, and life is greatly affected by temperature and discharge depth. With the increasing requirements for the life of low-orbit satellites year by year, the requirements for the life and reliability of such products are getting higher and higher, which makes the life verification and on-orbit life prediction of such products more and more difficult. [0003] At present, the life prediction methods used in foreign and other domestic industries mostly take the failure time as the statistical object. The method is to obtain the failure data or weak l...

AI Technical Summary

Problems solved by technology

[0005] The problem of small samples Modern industrial production, especially equipment models, has the characteristics of "multiple varieties, small batches, and rapid production". Satellite nickel-cadmium batteries are limited by funds and time. In the case of a small number of life test samples, they rely on large sample life data. Credibility of traditional lifespan prediction theories questioned

[0006] The problem of long life For nickel-cadmium batteries, the life verification test cannot be accelerated. In the limited development time, it is difficult to obtain enough failure data, or even no failure data, and it is impossible to establish an effective (traditional reliability) life distribution model

[0007] Correlation issues The performance and working environment of nickel-cadmium batteries are complex and changeable, and their key performance and life are affected by temperature, etc. The traditional system reliability (logic) model based on the assumption of independence cannot describe various factors and The influence of its complex correlation on the reliability of nickel-cadmium batteries; it is difficult to describe the influence of factors such as working environment on the reliability of nickel-cadmium batteries with simple acceleration factors or environmental factors

[0008] Failure Analysis Problems Product failures are divided into two categories, performance degradation failures and sporadic failures. According to statistics, performance degradation failures account for 70-80% of product failures, and even 90% of satellite high-reliability products. Traditional reliability Focuses on the research of sporadic failure, so the traditional life prediction theory is not applicable

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