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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/68538完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 陳國慶(Kuo-Ching Chen) | |
| dc.contributor.author | Jin-Hao Yang | en |
| dc.contributor.author | 楊晉豪 | zh_TW |
| dc.date.accessioned | 2021-06-17T02:24:31Z | - |
| dc.date.available | 2020-08-24 | |
| dc.date.copyright | 2020-08-24 | |
| dc.date.issued | 2020 | |
| dc.date.submitted | 2020-08-17 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/68538 | - |
| dc.description.abstract | 由於鋰離子電池的電化學參數過於繁雜，並且會隨著電池的老化而改變，目前推測電池老化的方式都是由電化學模型再附加一個老化模型進行模擬。而在本研究中，將提出一些全新的方法對使用過後的鋰離子電池之電化學參數進行評估。從實驗結果得知，電池在充放電過程中電荷(Q)-電壓(V)圖形的一階導數dQ/dV圖形峰值之偏移量，會隨著電池的老化而有所改變。因此，透過dQ/dV圖形峰值的偏移量，進而得到電化學參數隨老化改變的資訊。 首先LCO電池的部分，使用全新電池經小電流放電後的電荷(Q)-電壓(V)圖形為依據，調整大部分的參數使模擬的電荷(Q)-電壓(V)圖形與實驗吻合，取得全新LCO電池所有的電化學參數。由文獻中的實驗結果得知，LCO電池使用時正極活性材料表面並不會有明顯的改變。因此，歸納出負極鋰離子初始濃度(Cs_neg)及負極顆粒體積分率(εs_neg)兩個電化學參數為主導鋰鈷氧電池老化的主要參數，並改變這兩個電化學參數進行模擬，取得電化學參數與dQ/dV圖形峰值偏移量的關係，建立資料庫。經由循環老化實驗取得電池老化後dQ/dV圖形峰值偏移量，查詢模擬所建立之資料庫，便能得到電池老化後的電化學參數，再進一步建立電化學參數與電池容量之間的比例關係，最後比較藉由電化學參數推出的容量與實驗測得的容量進行驗證。 本研究對主導LFP電池老化的電化學參數進行評估，藉由dQ/dV圖形提供更多的資訊，歸納出LFP電池在老化前期由負極鋰離子初始濃度(Cs_neg)、負極顆粒體積分率(εs_neg)、正極粒子半徑(rp_pos)為主要變動的電化學參數。LFP電池在老化後期則為負極擴散係數(Ds_neg)所主導。再實際對LFP電池進行實驗，並與文獻實驗結果比較，發現LFP電池若是要有較精準的dQ/dV圖形測試電流必需很小，溫度的誤差不能過大。 利用NCA電池的電化學老化模型，透過dQ/dV圖形的比較，驗證文獻中Alawa tool的模擬結果，發現dQ/dV圖形中的Peak 1偏移是受到電極活性材料損失的影響。最後，NMC電池的部分，本研究透過調整負極鋰離子初始濃度(Cs_neg)、負極顆粒體積分率(εs_neg)、正極顆粒體積分率(εs_pos)，觀察dQ/dV圖形中峰值的變化，提出一套求解電化學參數的流程。 | zh_TW |
| dc.description.abstract | Because the electrochemical parameters of lithium-ion batteries are too complicated, and it will change as the battery ages. At present, it is speculated that the way of battery aging is simulated by the electrochemical aging model. This study will propose some new methods to evaluate the electrochemical parameters of used lithium-ion batteries. From the experimental results, it is known that the dQ/dV pattern peak shift obtained by extending the capacity (Q)-voltage (V) pattern during charging and discharging of the battery will change as the battery ages. Therefore, the information about the change of electrochemical parameters with the aging of the battery can be obtained through the shift of the peak value of the dQ/dV pattern. First of all, according to the capacity (Q)-voltage (V) graph of the new battery after a small current discharge, adjust most of the electrochemical parameters to make the simulation fit the capacity (Q)-voltage (V) graph of the experiment, so all the electrochemical parameters of the new LCO battery are obtained. It is known from experiments in the literature that the surface of the positive electrode active material does not change significantly when the LCO battery is used. Therefore, it is concluded that Cs_neg and εs_neg are the electrochemical parameters that dominate the aging of LCO batteries, and the two electrochemical parameters are changed for simulation to obtain the relationship between the electrochemical parameters and the dQ/dV graph peak offset and establish a database. Through the cycle aging experiment, the dQ/dV graph peak offset after battery aging is obtained. Querying the database can obtain the electrochemical parameters after battery aging, and then establish the proportional relationship between the electrochemical parameters and the battery capacity. Finally, compare the simulation and experimental capacity to verify. In this study, the electrochemical parameters of LFP batteries after aging were evaluated. Through dQ/dV graph to provide more information, it is concluded that the dominant electrochemical parameters of LFP battery in the linear aging stage are Cs_neg, εs_neg and rp_pos. In the non-linear aging stage of the LFP battery, the electrochemical parameter that dominates the aging of the LFP battery is Ds_neg. By comparing the experimental results of the LFP battery with the experimental results in the literature, it is found that if the LFP battery is to measure a more accurate dQ/dV pattern, the current must be very small, and the temperature deviation cannot be too large. Using the electrochemical aging model of NCA battery, through the comparison of dQ/dV graphics, the simulation results of Alawa tool in the literature were further verified. It is found that the Peak 1 shift in the dQ/dV pattern is affected by the loss of electrode active material. At the end of the NMC battery, this study adjusts Cs_neg, εs_neg, εs_pos to observe the change of the peak value in the dQ/dV graph, and proposes a set of procedures for solving the electrochemical parameters. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-17T02:24:31Z (GMT). No. of bitstreams: 1 U0001-1708202012184600.pdf: 8639688 bytes, checksum: dd06a681f1431896bfef96ca776b3cc9 (MD5) Previous issue date: 2020 | en |
| dc.description.tableofcontents | 謝辭 i 摘要 iii Abstract v 圖目錄 xii 表目錄 xvii 參數表 xviii 第一章 序章 1 1-1 研究背景 1 1-2 研究動機 2 1-3 研究目的 3 1-4 論文架構 3 第二章 鋰離子電池基本概念 4 2-1 鋰離子電池名詞的定義 4 2-1.1 荷電狀態(State of Charge, SOC) 4 2-1.2 健康程度(State of Health, SOH) 5 2-1.3 截止條件 5 2-1.4 充放電電流 6 2-1.5 開路電壓(Open Circuit Voltage, OCV) 6 2-1.6 循環老化(Cycle aging) 6 2-1.7 SEI膜(Solid Electrolyte Interphase) 6 2-1.8 鍍鋰現象(Li-plating) 7 2-2 鋰離子電池的工作原理 7 2-3 鋰離子電池的材料種類 8 2-3.1 石墨 8 2-3.2 鋰鈷氧(LiCoO2，LCO) 8 2-3.3 鋰錳氧(LiMn4O2，LMO) 8 2-3.4 磷酸鋰鐵(LiFePo4，LFP) 9 2-3.5 鋰鎳鈷錳(LiNixCoyMnzO2，NMC) 9 2-3.6 鋰鎳鈷鋁(LiNi0.8Co0.15Al0.05O2，NCA) 9 第三章 文獻回顧 11 3-1 電池老化之相關研究 11 3-2 ICA圖(dQ/dV圖)的原理 12 3-3 ICA圖(dQ/dV圖)及DV圖(dV/dQ圖)之相關應用 13 3-4 估計電化學參數之相關研究 23 第四章 電化學模型理論 24 4-1 幾何模型的建立 24 4-2 電極顆粒與電解液交界面的反應 26 4-3 電極顆粒中的電荷守恆 27 4-4 電極顆粒中的質量守恆 28 4-5 電解液中的電荷守恆 29 4-6 電解液中的質量守恆 30 4-7 電化學老化模型 32 第五章 循環老化實驗 35 5-1 實驗器材介紹 35 5-1.1 充放電儀 35 5-1.2 鋰離子電池 36 5-1.3 電池夾具 37 5-1.4 K-type熱電耦 38 5-2 實驗條件 38 5-2.1 鋰鈷氧(LCO)電池實驗條件 39 5-2.2 磷酸鋰鐵(LFP)電池實驗條件 40 5-2.3 鋰鎳鈷錳(NMC)電池實驗條件 41 5-3 移動平均法 42 5-4 Savitzky-Golay filter 43 5-5 實驗結果討論 46 5-5.1 鋰鈷氧(LCO)電池實驗結果 46 5-5.2 磷酸鋰鐵(LFP)電池實驗結果 49 5-5.3 鋰鎳鈷錳(NMC)電池實驗結果 51 第六章 Alawa tool 老化機制探討 52 6-1 老化機制介紹 52 6-1.1 可用鋰離子的損失(LLI) 52 6-1.2 負極活性材料鋰化的損失(LAMliNE) 53 6-1.3 負極活性材料脫鋰的損失(LAMdeNE) 54 6-1.4 正極活性材料鋰化的損失(LAMliPE) 54 6-1.5 正極活性材料脫鋰的損失(LAMdePE) 54 6-2 不同老化機制對開路電壓圖之影響 55 6-3 不同老化機制對ICA圖之影響 59 6-3.1 鋰鈷氧(LCO)電池 60 6-3.2 磷酸鋰鐵(LFP)電池 61 6-3.3 鋰鎳鈷鋁(NCA)電池 63 6-3.4 鋰鎳鈷錳(NMC)電池 65 第七章 電化學參數對於放電曲線圖及ICA圖之影響 68 7-1 電化學模型的建立 68 7-2 鋰錳氧(LMO)電池 80 7-2.1 負極鋰離子濃度 80 7-2.2 負極粒子體積分率 82 7-3 鋰鈷氧(LCO)電池 83 7-3.1 負極鋰離子濃度 83 7-3.2 負極粒子體積分率 85 7-4 磷酸鋰鐵(LFP)電池 87 7-4.1 負極鋰離子濃度 87 7-4.2 負極粒子體積分率 89 7-4.3 正極粒子半徑 91 7-4.4 負極粒子擴散係數 93 7-5 鋰鎳鈷錳(NMC)電池 95 7-5.1 負極鋰離子濃度 95 7-5.2 負極粒子體積分率 97 7-5.3 正極粒子體積分率 98 第八章 模擬與實驗結果比較分析 100 8-1 鋰鈷氧(LCO)電池 100 8-2 磷酸鋰鐵(LFP)電池 112 8-3 鋰鎳鈷鋁(NCA)電池 117 8-4 鋰鎳鈷錳(NMC)電池 118 第九章 結論與未來展望 121 9-1 結論 121 9-1.1 鋰鈷氧(LCO)電池 121 9-1.2 磷酸鋰鐵(LFP)電池 122 9-1.3 鋰鎳鈷鋁(NCA)電池 123 9-1.4 鋰鎳鈷錳(NMC)電池 124 9-2 未來展望 124 9-2.1 鋰鈷氧(LCO)電池 124 9-2.2 磷酸鋰鐵(LFP)電池 124 9-2.3 鋰鎳鈷鋁(NCA)電池 125 9-2.4 鋰鎳鈷錳(NMC)電池 125 9-3 論文貢獻 125 第十章 參考文獻 126 | |
| dc.language.iso | zh-TW | |
| dc.subject | 鋰離子電池 | zh_TW |
| dc.subject | 循環老化 | zh_TW |
| dc.subject | dQ/dV圖形 | zh_TW |
| dc.subject | 老化機制 | zh_TW |
| dc.subject | 電化學參數 | zh_TW |
| dc.subject | Lithium-ion battery | en |
| dc.subject | cycle aging | en |
| dc.subject | dQ/dV pattern | en |
| dc.subject | aging mechanism | en |
| dc.subject | electrochemical parameters | en |
| dc.title | 新的電化學參數評估法用於循環老化後的鋰離子電池 | zh_TW |
| dc.title | A novel evaluation of electrochemical parameters for cycle aged lithium-ion batteries | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 108-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 郭志禹(Jhih-Yu Guo),周鼎贏(Ding-Ying Jhou),林祺皓(Ci-Hao Lin),林揚善(Yang-Shan Lin) | |
| dc.subject.keyword | 鋰離子電池,循環老化,dQ/dV圖形,老化機制,電化學參數, | zh_TW |
| dc.subject.keyword | Lithium-ion battery,cycle aging,dQ/dV pattern,aging mechanism,electrochemical parameters, | en |
| dc.relation.page | 132 | |
| dc.identifier.doi | 10.6342/NTU202003717 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2020-08-18 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 應用力學研究所 | zh_TW |
| 顯示於系所單位： | 應用力學研究所 | |
文件中的檔案：
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| U0001-1708202012184600.pdf 未授權公開取用 | 8.44 MB | Adobe PDF |
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