The content of Mn, Co, and Ni in the ternary cathode material mixture of lithium batteries directly affects the electrochemical performance of the electrode material. The rapid measurement of the content of Mn, Co, and Ni is of great significance to the production and process control of the ternary cathode material. In this paper, energy dispersive X-ray fluorescence analysis (EDXRF) was used to analyze the content of Mn, Co, and Ni in the ternary cathode material mixture of lithium batteries. When calculating the peak area, the branch ratio subtraction method is used to correct the interference of the Kβ peak of Co on the Kα peak of Ni. In the spectrum data processing, combining the advantages of the SNIP method and the polynomial fitting method to subtract the scattering background, the two methods are combined to process the measured spectrum lines, and good results have been achieved. In the matrix effect correction, by comparing the theoretical mass absorption coefficient and the experimental results, it is concluded that the Mn, Co, and Ni in the ternary cathode material mixture of the lithium battery are affected by the matrix effect, which is established by the multiple regression analysis in the empirical coefficient method. Mathematical model to correct the absorption enhancement effect of Mn, Co and Ni. The experimental results show that the average absolute error of Mn, Co, and Ni content in the ternary cathode material mixture of lithium battery using the empirical coefficient method is 0.09%, 0.02%, 0.04%, and the average relative error is 0.52%, 0.12%, 0.13%. Single sample analysis only needs 200s, which meets the requirements of fast, efficient and accurate analysis.
Published in | International Journal of Energy and Power Engineering (Volume 10, Issue 6) |
DOI | 10.11648/j.ijepe.20211006.15 |
Page(s) | 126-134 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2021. Published by Science Publishing Group |
EDXRF, Lithium Battery Ternary Cathode Material Mixture, Background Subtraction, Absorption and Enhancement Effect
[1] | Huang Wenpeng, Sun Guoping, Chen Xin, et al. Research Progress of LiNixCoyMn1-x-yO2 Ternary Cathode Materials. SHANDONG CHEMICAL INDUSTRY, 2021, 50 (16): 104- 196+122. |
[2] | Tu Kangan. Present Situation and Development Trend of Ternary Cathode Materials for Lithiumion Batteries. Modern Chemical Research, 2021 (17): 17-18. |
[3] | Natarajan V, Porwal N K, Babu Y, et al. Direct determination of metallic impurities in graphite by EDXRF. Appl Radiat Isot, 2010, 68 (6): 1128-1131. |
[4] | Morgenstern P, L Brü, Wennrich R. Effect of the sample matrix on measurement uncertainty in X-ray fluorescence analysis. Spectrochimica Acta Part B: Atomic Spectroscopy, 2005, 60 (9): 1373-1379. |
[5] | Mohapatra, M, Hon, et al. A technique for determination of metallic impurities in Al2O3 matrix by EDXRF. Journal of Radioanalytical & Nuclear Chemistry An International Journal Dealing with All Aspects & Applications of Nuclear Chemistry, 2016. |
[6] | Li Dan, Lai Wanchang, et al. Preliminary Study on Determination of Total Sulfur in Coal by the Energy Dispersive X-ray Fluorescence Analysis. Nuclear Electronics & Detection Technology, 2011, 31 (08): 891-893. |
[7] | Lai Yurou. Application of X-Ray Fluorescence Analysis Based on the SDD Detector. East China Institution of Technology, 2015: 1. |
[8] | Liu Haiqin. Study on the absorption enhancement effect of Fe, Ni and Cr in stainless steel based on EDXRF method. Chengdu University of Technology, 2016: 1. |
[9] | Wang Jing. Application Study of Curve Background Estimate Method in the analysis of Seabed X-ray Fluorescence. Chengdu University of Technology, 2013: 1. |
[10] | Wang Zhuo, Ge Liangquan, et al. Application of Fourier transform background subtraction in XRF analysis. Nuclear Techniques, 2012, 35 (07): 549-551. |
[11] | Guo Cheng, Lai Wanchang, Hu Yuan, et al. Research on the Background Subtraction Method for X-Ray Fluorescence Spectrum with X-Ray Tube Excitation. Spectroscopy and Spectral Analysis, 2016, 36 (04): 1235-1239. |
[12] | Tuo Xianguo, Mu Keliang, Li Zhe, et al. Experimental Study and Correction of the Absorption and Enhancement Effect between Ti, V and Fe. Spectroscopy and Spectral Analysis, 2009, 29 (11): 3158-3162. |
[13] | Biswas S, Rupawate V H, Hareendran K N, et al. Determination of iron in uranium matrix using energy dispersive X-ray fluorescence (EDXRF) technique. Journal of Radioanalytical and Nuclear Chemistry, 2015, 306 (2): 543-548. |
APA Style
Shi Jie, Lai Wanchang, Zhai Juan, Zhou Jinge, Shu Ziyao, et al. (2021). Fast Analysis of Mn, Co, and Ni in the Ternary Cathode Material Mixture of Lithium Battery with EDXRF. International Journal of Energy and Power Engineering, 10(6), 126-134. https://doi.org/10.11648/j.ijepe.20211006.15
ACS Style
Shi Jie; Lai Wanchang; Zhai Juan; Zhou Jinge; Shu Ziyao, et al. Fast Analysis of Mn, Co, and Ni in the Ternary Cathode Material Mixture of Lithium Battery with EDXRF. Int. J. Energy Power Eng. 2021, 10(6), 126-134. doi: 10.11648/j.ijepe.20211006.15
AMA Style
Shi Jie, Lai Wanchang, Zhai Juan, Zhou Jinge, Shu Ziyao, et al. Fast Analysis of Mn, Co, and Ni in the Ternary Cathode Material Mixture of Lithium Battery with EDXRF. Int J Energy Power Eng. 2021;10(6):126-134. doi: 10.11648/j.ijepe.20211006.15
@article{10.11648/j.ijepe.20211006.15, author = {Shi Jie and Lai Wanchang and Zhai Juan and Zhou Jinge and Shu Ziyao and Wu Peiliang and Dai Wei and Gu Runqiu}, title = {Fast Analysis of Mn, Co, and Ni in the Ternary Cathode Material Mixture of Lithium Battery with EDXRF}, journal = {International Journal of Energy and Power Engineering}, volume = {10}, number = {6}, pages = {126-134}, doi = {10.11648/j.ijepe.20211006.15}, url = {https://doi.org/10.11648/j.ijepe.20211006.15}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.20211006.15}, abstract = {The content of Mn, Co, and Ni in the ternary cathode material mixture of lithium batteries directly affects the electrochemical performance of the electrode material. The rapid measurement of the content of Mn, Co, and Ni is of great significance to the production and process control of the ternary cathode material. In this paper, energy dispersive X-ray fluorescence analysis (EDXRF) was used to analyze the content of Mn, Co, and Ni in the ternary cathode material mixture of lithium batteries. When calculating the peak area, the branch ratio subtraction method is used to correct the interference of the Kβ peak of Co on the Kα peak of Ni. In the spectrum data processing, combining the advantages of the SNIP method and the polynomial fitting method to subtract the scattering background, the two methods are combined to process the measured spectrum lines, and good results have been achieved. In the matrix effect correction, by comparing the theoretical mass absorption coefficient and the experimental results, it is concluded that the Mn, Co, and Ni in the ternary cathode material mixture of the lithium battery are affected by the matrix effect, which is established by the multiple regression analysis in the empirical coefficient method. Mathematical model to correct the absorption enhancement effect of Mn, Co and Ni. The experimental results show that the average absolute error of Mn, Co, and Ni content in the ternary cathode material mixture of lithium battery using the empirical coefficient method is 0.09%, 0.02%, 0.04%, and the average relative error is 0.52%, 0.12%, 0.13%. Single sample analysis only needs 200s, which meets the requirements of fast, efficient and accurate analysis.}, year = {2021} }
TY - JOUR T1 - Fast Analysis of Mn, Co, and Ni in the Ternary Cathode Material Mixture of Lithium Battery with EDXRF AU - Shi Jie AU - Lai Wanchang AU - Zhai Juan AU - Zhou Jinge AU - Shu Ziyao AU - Wu Peiliang AU - Dai Wei AU - Gu Runqiu Y1 - 2021/11/17 PY - 2021 N1 - https://doi.org/10.11648/j.ijepe.20211006.15 DO - 10.11648/j.ijepe.20211006.15 T2 - International Journal of Energy and Power Engineering JF - International Journal of Energy and Power Engineering JO - International Journal of Energy and Power Engineering SP - 126 EP - 134 PB - Science Publishing Group SN - 2326-960X UR - https://doi.org/10.11648/j.ijepe.20211006.15 AB - The content of Mn, Co, and Ni in the ternary cathode material mixture of lithium batteries directly affects the electrochemical performance of the electrode material. The rapid measurement of the content of Mn, Co, and Ni is of great significance to the production and process control of the ternary cathode material. In this paper, energy dispersive X-ray fluorescence analysis (EDXRF) was used to analyze the content of Mn, Co, and Ni in the ternary cathode material mixture of lithium batteries. When calculating the peak area, the branch ratio subtraction method is used to correct the interference of the Kβ peak of Co on the Kα peak of Ni. In the spectrum data processing, combining the advantages of the SNIP method and the polynomial fitting method to subtract the scattering background, the two methods are combined to process the measured spectrum lines, and good results have been achieved. In the matrix effect correction, by comparing the theoretical mass absorption coefficient and the experimental results, it is concluded that the Mn, Co, and Ni in the ternary cathode material mixture of the lithium battery are affected by the matrix effect, which is established by the multiple regression analysis in the empirical coefficient method. Mathematical model to correct the absorption enhancement effect of Mn, Co and Ni. The experimental results show that the average absolute error of Mn, Co, and Ni content in the ternary cathode material mixture of lithium battery using the empirical coefficient method is 0.09%, 0.02%, 0.04%, and the average relative error is 0.52%, 0.12%, 0.13%. Single sample analysis only needs 200s, which meets the requirements of fast, efficient and accurate analysis. VL - 10 IS - 6 ER -