| 研究生: |
馮正思 Chern-Xi Pang |
|---|---|
| 論文名稱: |
Na-FeFe普魯士藍的粒徑大小對所製之二次鋰電池性能的影響 |
| 指導教授: |
李文献
Wen-Hsien Li |
| 口試委員: | |
| 學位類別: |
碩士 Master |
| 系所名稱: |
理學院 - 物理學系 Department of Physics |
| 論文出版年: | 2021 |
| 畢業學年度: | 109 |
| 語文別: | 中文 |
| 論文頁數: | 92 |
| 中文關鍵詞: | 普魯士藍 、粒徑 、充放電 |
| 相關次數: | 點閱:9 下載:0 |
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近年來,普魯士藍與類普魯士藍在尋覓鋰電子陰極替代材料的研究中獲得了廣大的關注,不僅因爲其製作成本低且製作過程環保,也因爲其物理性質在儲能上具有優勢。特別是普魯士藍的立方晶體結構中提供了高度對齊的奈米縫隙,使其所製之鋰電池在充放電效率高的同時,擁有極長的循環壽命(因晶格結構在充放電過程中所受的衝擊、扭曲較小)。
本研究分成兩個部分,第一個部分是研究Na-FeFe普魯士藍的製備溫度和其結構,以及粒徑大小的關係。第二個部分則是研究不同粒徑的Na-FeFe普魯士藍的充放電表現,包括其初始比容量、庫倫效率、衰減比例以及氧化還原電壓峰值。
在第一部分的研究中,本研究首先分別從實驗和理論層面得出Na-FeFe的X光繞射圖中繞射峰出現的位置,接著利用GSAS軟體進行擬合,確認晶格結構並求出Na-FeFe晶格常數、原子位置、原子占比、分子鍵長、電子密度分佈等訊息。其後,本研究從繞射峰的寬化情況估算出其平均粒徑大小,再利用Origin軟件以統計方式精算出Na-FeFe奈米顆粒的粒徑分佈情況並求得更精確的平均粒徑數值。實驗結果顯示Na-FeFe奈米顆粒的粒徑大小與製備溫度呈現線性正比關係。
在第二部分的研究中,本研究將Na-FeFe奈米顆粒加工製成正極極片,再組裝成二次鋰電池,然後利用電池性能分析儀進行充放電測試,蒐集纍積電荷、電壓、時間等訊息作進一步的分析。
In recent years, Prussian blue (PB) and its analogs have garnered much intention in the research. In particular, PB has a cubic lattice structure with highly aligned nanopores, which makes it a promising anode candidate with both high rate capability and extremely long cycle life (because of less distortion of its structure during the charging and discharging process).
This research mainly divided into two parts. The first part is to study the nanoparticle size and lattice structure of Na-FeFe PB samples that fabricated using different temperature. The second part is to study the performance of the battery made by using Na-FeFe PB as the anode material, including its initial specific capacity, stability of specific capacity, and the peak voltage(s) for redox reaction.
In the first part of this research, the peak position of X-ray diffraction profile was studied by using both experimental and theoretical approaches. The experimental results were then compared to the theoretical calculation and fitted by using GSAS software to confirm the lattice structure. The data of other parameters such as lattice constant, fractional position and occupancy of atoms, molecular bond lengths, electron cloud densities, etc. was obtained. The relationship between the nanoparticle size of PB and the fabrication temperature was discussed.
In the second part of this research, the Na-FeFe PBs were made as to the core materials of lithium battery anodes, and the performance of batteries was tested by using Acu Tech battery testing system.
第一章
1. Wanlin Wang, Yong Gang,2020, Reversible structural evolution of sodium-rich
rhombohedral Prussian blue for sodium-ion batteries,Nature Communications,doi.org/10.1038/s41467-020-14444-4
2. Baoqi Wang, Yu Han, 2018, Prussian Blue Analogs for Rechargeable Batteries, iScience, Volume 3, pg.110-133, https://doi.org/10.1016/j.isci.2018.04.008
第二章
1. 許樹恩與吳泰伯, 1992, X光繞射與材料結構分析, 行政院國家科學委員會精密儀器發展中心,pg.132。
2. 鄭振環與李强,2016,X射綫多晶衍射數據Rietveld精修及GSAS軟件入門,中國建材工業出版社,第一章。
3. 許樹恩與吳泰伯, 1992, X光繞射與材料結構分析, 行政院國家科學委員會精密儀器發展中心,第五章。
第三章
1. B. E. Warren,1990, X-ray diffraction, Dover Publications, pg.251–254。
2. 許樹恩與吳泰伯, 1992, X光繞射與材料結構分析, 行政院國家科學委員會精密儀器發展中心,第五章。
3. Paul Barnes, Simon Jacques, Martin Vickers, 1997-2006, Scattering of X-rays by a 1-Dimensional Chain of Atoms or Molecules, Birkbeck College, University of London. http://pd.chem.ucl.ac.uk/pdnn/diff1/scat1d.htm
4. 黃宇軒, 2017, Na-Fe-Fe普魯士藍奈米顆粒之物性分析與電池應用, 國立中央大學碩士論文,桃園縣中壢市,pg.29。
5. Wen-Hsien Li and Chi-Hung Lee, 2017, Spin Polarization and Small Size Effect in Bare Silver Nanoparticles, Chapter 6.2.3。
6. 蔡晨諭, 2020, 以奈米磁顆粒提升K-CoCo普魯士藍二次鋰電池效率, 國立中央大學碩士論文,桃園縣中壢市, pg.35。
7. 楊安柔, 2021,外加磁場對Na-FeFe普魯士藍二次鋰電池效率影響, 國立中央大學碩士論文,桃園縣中壢市,pg.15-16。
第五章
1.) Lian Shen, Zhaoxiang Wang and Liquan Chen, Prussian Blues as a Cathode Material for Lithium Ion Batteries, Chem. Eur. J. 2014, 20,12559- 1256
2.) Jeong SK, Choi HK, Kim YS. Structural Properties of Solid Electrolyte Interphase on Lithium Metal, J Nanosci Nanotechnol. 2015 Nov;15(11):8803-7. doi: 10.1166/jnn.2015.11532. PMID: 26726597
3.) Wang, A., Kadam, S., Li, H. et al. Review on modeling of the anode solid electrolyte interphase (SEI) for lithium-ion batteries, Npj Comput Mater 4, 15(2018). https: //doi.org/10.1038/s41524-018-0064-0