發(fā)布時間：2018-06-17 17:15

  本文選題：化學電池 + 可靠性增長�。� 參考：《北京理工大學》2015年碩士論文

【摘要】：化學電池在通訊、汽車、軍事、航空航天等領(lǐng)域具有廣泛的應(yīng)用，隨著其應(yīng)用范圍和應(yīng)用程度的不斷深入，電池可靠性得到了越來越高的重視。本文以此為背景，研究了可靠性增長理論在電池可靠性增長上的應(yīng)用。 本文首先介紹了可靠性增長的基本概念以及可靠性增長的Duane模型和AMSAA模型，重點研究單臺產(chǎn)品的AMSAA模型、多臺產(chǎn)品的AMSAA-BISE模型和多臺產(chǎn)品的AMSAA模型。然后介紹了鋰離子電池的結(jié)構(gòu)以及可靠性增長過程中常用的分析方法，這些方法可以有效地提高電池的可靠性。 由于不易獲得化學電池的可靠性增長數(shù)據(jù)，，本文提出利用逆變換技術(shù)和威布爾過程來模擬電池的可靠性增長數(shù)據(jù)。然后利用Matlab軟件分別對時間截尾數(shù)據(jù)和故障截尾數(shù)據(jù)進行模擬，對單臺產(chǎn)品和多臺產(chǎn)品的數(shù)據(jù)進行計算及分析，并討論了模型參數(shù)變化對故障率的影響。 由于Duane模型和AMSAA模型都是基于產(chǎn)品故障時間的可靠性增長模型，它們只適合處理基于TAAF模式的連續(xù)時間的可靠性增長。而對于分階段的延緩糾正的可靠性增長模式，僅僅使用基于時間的可靠性增長模型無法充分使用各階段已有的試驗信息，在應(yīng)用上存在缺陷。針對上述問題，本文結(jié)合貝葉斯方法，提出了電池分階段的Bayes可靠性增長模型。傳統(tǒng)的可靠性增長評估方法使評估結(jié)果偏于保守，而Bayes可靠性增長模型考慮了各階段的驗前信息和驗后信息，可以動態(tài)評估電池的可靠性增長過程，并對電池的可靠性水平進行預(yù)測，評估結(jié)果更加符合實際。
[Abstract]:Chemical battery has been widely used in the fields of communication, automobile, military, aerospace and so on. With the development of its application range and application degree, the reliability of battery has been paid more and more attention. In this paper, the application of reliability growth theory to battery reliability growth is studied. In this paper, the basic concept of reliability growth and the Duane model and AMSAA model of reliability growth are introduced, and the AMSAA model of single product, AMSAA-BISE model of multiple products and AMSAA model of multiple products are studied. Then the structure of lithium ion battery and the commonly used analysis methods in the process of reliability growth are introduced. These methods can effectively improve the reliability of the battery. Because it is difficult to obtain the reliability growth data of the chemical battery, this paper proposes to simulate the reliability growth data of the cell by using the inverse transformation technique and the Weibull process. Then the time truncated data and the fault truncated data are simulated by Matlab software, the data of single product and multiple products are calculated and analyzed, and the influence of model parameters on failure rate is discussed. Because both Duane model and AMSAA model are reliability growth models based on product failure time, they are only suitable to deal with the reliability growth of continuous time based on TAAF mode. However, the time-based reliability growth model can not make full use of the experimental information of each stage, and there are some defects in the application of the time-based reliability growth model. In order to solve the above problems, a Bayesian reliability growth model is proposed in this paper. The traditional reliability growth evaluation method makes the evaluation results conservative, while the Bayes reliability growth model takes into account the prior and posterior information of each stage, so it can dynamically evaluate the reliability growth process of the battery. The reliability level of the battery is predicted, and the evaluation results are more in line with the reality.
【學位授予單位】：北京理工大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TM911

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