Yu, Z., et al. (2020) Research on Prediction of Lithium Battery Cycle Performance Based on BP Neural Network in Laboratory. Jiangxi Chemical Industry, No. 3, 93-95.

has been cited by the following article:

• TITLE: Research on the Influence of Collimator on the Inversion Algorithm of NDP Measurement

  AUTHORS: Miao Feng, Peng Wu, Hongjie Chen, Baolin Song

  KEYWORDS: Collimator, NDP Measurement, Inversion Algorithm

  JOURNAL NAME: Open Access Library Journal, Vol.9 No.7, July 26, 2022

  ABSTRACT: The neutron depth profile analysis (NDP) technique can obtain the depth distribution information of 10B, 6Li, 7Be, 22Na and other light core elements near the surface without loss. It is widely used in the influence of Li+ on the performance of lithium batteries. When using NDP technology to measure lithium concentration in lithium batteries, the distribution of target nuclide concentration with sample surface depth can be obtained by measuring energy spectrum inversion. In this paper, the principle of measuring lithium ion concentration in lithium batteries with the NDP method is analyzed, and a collimator is added to the measurement system. Through the research and evaluation of four typical lithium ion concentration distributions, it is shown that the collimator can effectively improve the reliability of the inversion algorithm when applied to the inversion calculation of NDP measurement.