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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/86625
完整後設資料紀錄
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dc.contributor.advisor吳文方(Wen-Fang Wu)
dc.contributor.authorYING-CHENG TSENGen
dc.contributor.author曾映誠zh_TW
dc.date.accessioned2023-03-20T00:07:19Z-
dc.date.copyright2022-08-12
dc.date.issued2022
dc.date.submitted2022-08-08
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Li, E Murphy, J. Winnick, P. A. Kohl, “Studies on the cycle life of commercial lithium ion batteries during rapid charge-discharge cycling,” Journal of Power Sources, Vol. 102, Issue 1-2, pp.294-301, Dec. 2001. [19] R. Premanand, B. Haren, R. White, B. N. Popov, “Capacity fade studies on spinel based Li-ion cells, ” Proceeding of the Seventeenth Annual Battery Conference on Applications and Advances, pp. 25-30, Deb. 2002. [20] G. Ning, B. Haren, B. N. Popov, “Capacity fade study of li-ion batteries cycled at high discharge rates,” Journal of Power Sources, Vol. 117, Issue 1-2, pp. 160-169, May. 2003. [21] T. Ma, G. L. Xu, Y. Li, L. Wang, X. He, J. Zheng, J. Liu, M. H. Engelhard, P. Zapol, L. A. Curtiss, J. Jorne, K. Amine, Z. Chen, “Revisiting the corrosion of the aluminum current collector in lithium-ion batteries,” The Journal of Physical Chemistry Letters, pp. 1072-1077, Feb. 2017. [22] A. Tang, G. Hu, M. Liu, “Mechanical degradation of electrode materials within single particle model in Li-ion batteries for electric vehicles,” Journal of Mathematical Chemistry, Vol 55, pp. 1903–1915, Jun. 2017. [23] A. Jana, D. R. Ely, R. E. García, “Dendrite-separator interactions in lithium-based batteries,” Journal of Power Sources, Vol 275, pp. 912-921, Feb. 2015. [24] Y. Xu, H. Wu, Y. He, Q. Chen, J. G. Zhang, W. Xu, C. Wang, “Atomic to nanoscale origin of vinylene carbonate enhanced cycling stability of lithium metal anode revealed by cryo-transmission electron microscopy,” Nano Letters, Vol. 20, pp. 418-425, Dec. 2019. [25] S. Kalnaus, Y. Wang, J. A.Turner, “Mechanical behavior and failure mechanisms of Li-ion battery separators,” Journal of Power Sources, Vol 348, pp. 255-263, Apr. 2017. [26] L. Serrao,Z. Chehab, Y. Guezennee, G. Rizzoni, “An aging model of Ni-MH batteries for hybrid electric vehicles,” 2005 IEEE Vehicle Power and Propulsion Conference, pp. 78-85, Sep. 2005. [27] Y. Chen, J. W. Evans, “Three-dimensional thermal modeling of lithium polymer batteries under galvanostatic discharge and dynamic power profile,” Journal of The Electrochemical Society, Vol. 141, Issue 11, pp. 2947-2955, Nov. 1994. [28] M. Al-Zareer, I. Dincer, M. A. Rosen, “Heat and mass transfer modeling and assessment of a new battery cooling system,” International Journal of Heat and Mass Transfer, Vol. 126, Part A, pp. 765-778, Nov. 2018. [29] L. Serrao, Z. Chehab, Y. Guezennee, G. Rizzoni, “An aging model of Ni-MH batteries for hybrid electric vehicles,” 2005 IEEE Vehicle Power and Propulsion Conference, Sep. 2005. [30] R. D. Deshpande, K. Uddin, “Physics inspired model for estimating ‘cycles to failure’ as a function of depth of discharge for lithium ion batteries,” Journal of Energy Storage, Vol. 33, Jan. 2021. [31] M. Alipour, E. Esen, A.R. Varzeghani, R. Kizilel, “Performance of high capacity Li-ion pouch cells over wide range of operating temperatures and discharge rates,” Journal of Electroanalytical Chemistry, Vol. 860, Article 113903, Mar. 2020. [32] H. Zhang, M. Zhou, L. Hu, Z. Zhang, “Mechanism of the dynamic behaviors and failure analysis of lithium-ion batteries under crushing based on stress wave theory,” Engineering Failure Analysis, Vol.108, Jan. 2020. [33] J. Shankleman, T. Biesheuvel, J. Ryan, D. Merrill, “We’re going to need more lithium,” Bloomberg Businessweek, Sep. 2017. [34] P. Ramadass, B. Haran, R. White, B. N. Popov, “Mathematical modeling of the capacity fade of Li-ion cells,” Journal of Power Sources, Vol. 123, pp. 230-240, Sep. 2003. [35] 陳麒,可充電鋰電池循環壽命的半經驗數學模型,長庚大學電子工程學系碩士論文,臺灣,2020。 [36] C. E. Ebeling, An Introduction to Reliability and Maintainability Engineering, McGraw-Hill Inc, New York, 1997. [37] 楊善國,可靠度工程概論,第六版,全華圖書股份有限公司,台灣,2019。 [38] W. Wu, S. Wang, W. Wu, K. Chen, S. Hong, Y. Lai, “A critical review of battery thermal performance and liquid based battery thermal management,” Energy Conversion and Management, Vol. 182, pp.262-281, Feb. 2019. [39] A. Sharma1, P. Zanotti, L. P.musunur, “Enabling the electric future of mobility: robotic automation for electric vehicle battery assembly,” IEEE Access, Vol. 7, pp. 170961-170991, Nov. 2019. [40] K. Scott and S. Nork, “Active battery cell balancing,” Analog Devices, [Online]. Available: https://www.analog.com/en/technical-articles/active-battery-cell-balancing.html [Accessed 17 June 2022]. [41] Y. Barsukov, “Battery cell balancing: what to balance and how,” Texas Instruments, 2009. [42] U.S. Environmental Protection Agency, “Find and compare cars: 2012 Tesla Model S,” [Online]. Available: https://www.fueleconomy.gov/feg/noframes/32557.shtml [Accessed 17 June 2022].
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/86625-
dc.description.abstract近年電動車(electric vehicle, EV)產業發展快速,佔電動車整車成本將近一半之電動車電池系統相關研究也成為趨勢。電池在經由多個充放電循環後,其電容量會逐漸降低,致使電動車失效風險隨之上升,最終導致發生失效。本研究旨在建立一套可靠度工程(reliability engineering)分析方法,依鋰離子電池單元(battery cell)之健康狀態(state of health, SOH)定義電池性能,藉以探討並預估電動車電池組(battery pack)因性能退化導致可靠度隨充放電循環次數降低之趨勢。傳統可靠度 分析方法僅考慮各電池單元健康狀態是否符合一定要求來決定電池模組之系統可靠度,未必符合多數電池管理系統之實際運作,是以本研究引入可靠度工程中 kout-of-n之系統可靠度概念,考量電池模組所有電池單元中有數個健康狀態差異過大即會引起失效,探討電池模組與電池組之可靠度,也探討相關參數變化對電池組壽命分布及可靠度之影響。經案例分析比對,本研究發現傳統系統可靠度分析 方法會高估電動車電池組之可靠度,而本研究所提方法分析結果則趨近實際狀況,可避免錯估可靠度導致電池失效之風險。針對相關參數之探討,研究結果顯示,如電池管理系統能順利運作,溫度對電池組壽命分布與可靠度影響並不大,影響較大的是電池組內各單元老化後之健康狀態差異過大,若單元健康狀態較為平均,則電池組的壽命與可靠度都會明顯提升。zh_TW
dc.description.abstractWith the rapid development of electric vehicle (EV), researches related to EV battery systems have flourished in recent years, partly because the battery system accounts for almost half of the cost of an EV. For the battery system, its capacity degraded gradually along with charge-and-discharge cycles and hence increases the risk of the EV. The reliability issue of the battery system thus arises. The present study proposes an analytical model based on reliability engineering for studying the capacity degradation and quantitative reliability of EV battery packs. The model, in turn, is constructed in consideration of states of health (SOH) of battery cells and their uncertainties. As compared to the traditional system reliability model that judges the pack’s reliability purely based on considering if or not a battery cell’s SOH exceeds a prescribed threshold, the proposed model adopts the k-out-of-n system reliability concept and considers that SOHs of battery cells within the pack do not differ too much to assure the pack’s reliability. This study also adjusts a few parametric values in the model to investigate their influences on battery pack’s life and reliability. Through numerical case studies, it is found the proposed model results in a more conservative system reliability prediction of a battery pack than the traditional model, and the capacity degradation trend of the battery pack coincides with a real case. In consideration of an effective battery management system that avoids fierce temperature changes, the influence of temperature is not very obvious in this study. The uneven performance of battery cells reflected by discrepancies of their SOHs is found crucial to the battery pack. If the performance of each battery cell is balanced, the battery pack’s life and reliability would increase significantly.en
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dc.description.tableofcontents致謝………………………………………………………………………………………I 中文摘要………………………………………………………………...………………II ABSTRACT………………………………………………………………………..…..III 目錄…………………………………………………………………………………….IV 圖目錄……………………………………………………………...………….……....VII 表目錄………………………………………………………………...………………..IX 第一章 緒論…………………………………………………………………………….1 1.1 研究背景與動機……………………………………………………………….1 1.2 文獻回顧……………………………………………………………………….2 1.3 論文架構……………………………………………………………………….3 第二章 鋰電池相關理論………………………………………………..……………...4 2.1 電池相關名詞定義…………………………………………………………….4 2.1.1 電池基本組成相關名詞………………………………………………..4 2.1.2 電池狀態相關名詞……………………………………………………..4 2.1.3 電池規格相關名詞……………………………………………………..5 2.2 鋰電池工作原理及失效模式………………………………………………….6 2.2.1 鋰電池電化學反應……………………………………………………..6 2.2.2 鋰電池失效模式………………………………………………………..7 2.3 電動車電池組…………………………………………………………….......10 2.4 半經驗模型…………………………………………………………………...11 第三章 可靠度相關理論……………………………………………………………...13 3.1 機率基本概念以及隨機事件………………………………………………...13 3.2 可靠度概念…………………………………………………………………...14 3.2.1 基本定義………………………………………………………………14 3.2.2 常見機率分布函數……………………………………………………16 3.3 系統可靠度…………………………………………………………………...18 3.3.1 串聯系統………………………………………………………………18 3.3.2 並聯系統………………………………………………………………19 3.3.3 串並聯系統……………………………………………………………20 3.3.4 並串聯系統……………………………………………………………21 3.3.5 k-out-of-n 系統………………………………………………………...21 第四章 電動車電池系統之可靠度分析……………………………………………...23 4.1 基本假設……………………………………………………………………...23 4.1.1 電動車電池系統排列方式……………………………………………23 4.1.2 電池溫度假設…………………………………………………………23 4.1.3 半經驗模型以及標準差計算…………………………………………24 4.1.4 電池失效定義………………………………………………………...26 4.2 傳統系統可靠度分析………………………………………………………...28 4.3 考量電池單元間差異………………………………………………………...29 4.3.1 不同健康狀態電池連接………………………………………………29 4.3.2 考量健康狀態差異之方法……………………………………………32 4.4 考量電池單元間差異之可靠度分析………………………………………...34 4.4.1 各循環數下失效機率計算……………………………………………34 4.4.2 考量電池單元間差異之可靠度曲線…………………………………36 4.4.3 與傳統系統可靠度分析之比較………………………………………38 4.4.4 與實務範例之比較……………………………………………………38 4.5 參數敏感度分析……………………………………………………………...39 4.5.1 溫度條件改變…………………………………………………………39 4.5.2 溫度區間數增加………………..……………….…………………….43 4.5.3 k 值改變……………………………………………………………….48 4.5.4 k-out-of-n 標準改變…………………………………………………...53 4.5.5 健康狀態要求範圍改變………………………………………………56 第五章 結論與未來展望……………………………………………………………...61 5.1 結論…………………………………………………………………………...61 5.2 未來展望……………………………………………………………………...62 參考文獻……………………………………………………………………………….63
dc.language.isozh-TW
dc.subject健康狀態zh_TW
dc.subject電動車zh_TW
dc.subject電池系統zh_TW
dc.subject電動車zh_TW
dc.subjectk-out-of-n 系統zh_TW
dc.subject系統可靠度zh_TW
dc.subject電池系統zh_TW
dc.subjectk-out-of-n 系統zh_TW
dc.subject系統可靠度zh_TW
dc.subject健康狀態zh_TW
dc.subjectstate of healthen
dc.subjectk-out-of-n systemen
dc.subjectsystem reliabilityen
dc.subjectstate of healthen
dc.subjectbattery systemen
dc.subjectelectric vehicleen
dc.subjectbattery systemen
dc.subjectsystem reliabilityen
dc.subjectk-out-of-n systemen
dc.subjectelectric vehicleen
dc.title電池單元性能差異對電動車電池組可靠度分析之影響zh_TW
dc.titleEffect of Performance Discrepancy of Cells on the Reliability Analysis of an EV Battery Packen
dc.typeThesis
dc.date.schoolyear110-2
dc.description.degree碩士
dc.contributor.oralexamcommittee劉霆(Tyng Liu),林以凡(I-Fan Lin)
dc.subject.keyword電動車,電池系統,健康狀態,系統可靠度,k-out-of-n 系統,zh_TW
dc.subject.keywordelectric vehicle,battery system,state of health,system reliability,k-out-of-n system,en
dc.relation.page67
dc.identifier.doi10.6342/NTU202201549
dc.rights.note同意授權(全球公開)
dc.date.accepted2022-08-08
dc.contributor.author-college工學院zh_TW
dc.contributor.author-dept機械工程學研究所zh_TW
dc.date.embargo-lift2022-08-12-
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