Fast Analysis of Mn, Co, and Ni in the Ternary Cathode Material Mixture of Lithium Battery with EDXRF

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 K_β peak of Co on the K_α 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.