帳號:guest(216.73.216.146)          離開系統
字體大小: 字級放大   字級縮小   預設字形  

詳目顯示

以作者查詢圖書館館藏以作者查詢臺灣博碩士論文系統以作者查詢全國書目
作者(中文):陳信諺
作者(外文):Chen, Shin-Yan
論文名稱(中文):鋰離子電池之循環式逐步應力衰變試驗的設計與分析
論文名稱(外文):Design and Analysis of Type-III Step-Stress Degradation Test for Lithium-Ion Batteries
指導教授(中文):曾勝滄
指導教授(外文):Tseng, Sheng-Tsiang
口試委員(中文):徐南蓉
汪上曉
李水彬
口試委員(外文):Hsu, Nan-Jung
Wong, Shang-Hsiao
Lee, Shui-Pin
學位類別:碩士
校院名稱:國立清華大學
系所名稱:統計學研究所
學號:108024702
出版年(民國):111
畢業學年度:110
語文別:中文
論文頁數:66
中文關鍵詞:鋰離子電池電池壽命預測加速衰變試驗趨勢更新過程SS_ATRP模型
外文關鍵詞:lithium-ion batteriesend of performance (EOP)accelerated degradation testtrend renewal process (TRP)SS_ATRP model
相關次數:
  • 推薦推薦:0
  • 點閱點閱:844
  • 評分評分:*****
  • 下載下載:0
  • 收藏收藏:0
可進行重複充放電的鋰離子電池 (rechargeable lithium-ion batteries) 是可攜式電子產品中做為電源供應之不可或缺的角色。然而,鋰離子電池為高可靠度產品,意謂其衰變速度極為緩慢,因此如何精確推估鋰離子電池之壽命,對製造商而言是個十分重要的研究課題。過去針對高可靠度產品多是以固定應力加速衰變試驗進行分析,惟此方法的實驗成本通常相當昂貴。為彌補此缺點,本研究採用循環式逐步應力衰變試驗來收集鋰離子電池實驗資料,並以常用的逐步應力衰變模型 (如SS_ADT以及TSS_ATRP的模型) 為基礎,提出SS_ATRP模型來針對循環式逐步應力衰變試驗的資料進行分析,並使用最大概似估計法 (maximum likelihood estimation) 求出模型中的參數估計值以及預測正常使用狀況下之電池壽命EOP (end of performance),配合有母數拔靴法 (parametric bootstrap) 計算其95% 信賴區間。最後則使用此實驗資料來推估鋰離子電池的平均失效壽命 (mean time to failure) 以及提出本研究的發展性。
Rechargeable lithium-ion batteries play an essential role as power supplies in portable electronic products. Due to its high reliability, the lifetime assessment for lithium-ion batteries is a challenging research topic. To address this issue, highly reliable products were often analyzed via constant stress accelerated degradation tests in practice. However, implementing such experiments is high-cost in general. To compensate for this shortcoming, this study designed a Type-III step-stress degradation test to collect the experimental data of lithium-ion batteries, in which different stresses are arranged in a cycle fashion. Adopting the ideas of SS_ADT, ATRP, and TSS_ATRP model, an SS_ATRP model is then proposed for analyzing the data collected from the Type-III step-stress degradation test. For inference, the maximum likelihood estimation is used for model fitting, under which the end-of-performance (EOP) of lithium-ion batteries is predicted at normal use conditions. The proposed methodologies are applied to the collected Type-III step-stress degradation test data for assessing the mean-time-to-failure (MTTF) of lithium-ion batteries. Finally, some possible extensions of this study are addressed.
第一章 緒論 1
1.1 前言 1
1.2 研究主題與動機 1
1.3 研究架構 3
第二章 實驗資料簡介與文獻回顧 4
2.1 逐步應力衰變試驗之資料型態簡介 4
2.2 實驗資料介紹 10
2.3 相關文獻回顧 13
2.4 研究問題描述 16
第三章 循環式逐步應力衰變試驗之模型建構 17
3.1 SS_ATRP之模型建構概念 17
3.2 SS_ATRP之概似函數建立 24
3.3 SS_ATRP之模型統計推論 31
第四章 循環式逐步應力衰變試驗之實例分析 34
第五章 結論與後續研究 45
附錄 47
參考文獻 65

1. Zhang, J., & Lee, J. (2011). A review on prognostics and health monitoring of Li-ion battery. Journal of Power Sources, 196(15), 6007-6014.
2. He, W., Williard, N., Osterman, M., & Pecht, M. (2011). Prognostics of lithium-ion batteries based on Dempster–Shafer theory and the Bayesian Monte Carlo method. Journal of Power Sources, 196(23), 10314-10321.
3. Micea, M. V., Ungurean, L., Carstoiu, G. N., & Groza, V. (2011). Online state-of-health assessment for battery management systems. IEEE Transactions on Instrumentation and Measurement, 60(6), 1997-2006.
4. Lindqvist, B. H., Elvebakk, G., & Heggland, K. (2003). The trend-renewal process for statistical analysis of repairable systems. Technometrics, 45(1), 31-44.
5. Wang, Y. F., Tseng, S. T., Lindqvist, B. H., & Tsui, K. L. (2019). End of performance prediction of lithium-ion batteries. Journal of Quality Technology, 51(2), 198-213.
6. Tseng, S. T., & Wen, Z. C. (2000). Step-stress accelerated degradation analysis for highly reliable products. Journal of Quality Technology, 32(3), 209-216.
7. DiCiccio, T. J. and Efron, B. (1996). Bootstrap confidence intervals. Statistical Science 11(3), 189-212.
8. Meeker, W. Q. & Escobar, L. A. (1998) Statistical Methods for Reliability Data, John Wiley and Sons, New York.
9. Nelson, W. (1990), Accelerated Testing: Statistical Models, Test Plans, and Data Analyses, John Wiley and Sons, New York.
10. Ross, S. M. (2019). Introduction to Probability Models. 〖12〗^th Edition, Academic Press, New York.
11. 吳璟賢 (2016), "電池壽命的EOP推論及其最式實驗配置問題", 國立清華大學統計學研究所碩士論文。
12. 劉軒彤 (2017), "TRP隨機效應模型之建構與應用", 國立清華大學統計學研究所碩士論文。
13. 林立元 (2020), "可回充電池的逐步應力衰變試驗之建模與分析", 國立清華大學統計學研究所碩士論文。
14. 沈子翔 (2011), "可回充電池的實驗設計與分析", 國立清華大學統計學研究所碩士論文。
 
 
 
 
第一頁 上一頁 下一頁 最後一頁 top
* *