講演情報
[15p-PB2-60]Visualization of Local State of Charge and Material Identification in Primary Lithium Batteries Using X-ray Photon Counting Computed Tomography
〇(M1)Dakang Wang1 (1.Sakurai Lab, Gunma Univ.)
キーワード：
Lithium Battery、Photon Counting CT、Material Identification
This study demonstrates a non-destructive method using X-ray photon counting computed tomography (PCCT) to analyze a CR1025 primary lithium battery. Attenuation images were acquired at 20 energy points (38.55-116.10 keV). Pixel-wise electron density (Pe) and effective atomic number (Zeff) were calculated, enabling visualization of the local state of charge (SOC) via a linear model at high energies. A material identification algorithm, referencing a database of 13 materials (Li, MnO2, LixMnO2), classified components based on Pe and Zeff. Results reveal SOC heterogeneity and material evolution after discharge, quantified by lithiation parameters (alpha, beta), with an average alpha=0.52 (Li0.52MnO2). This work establishes PCCT as a comprehensive tool for simultaneous structural, compositional, and electrochemical analysis of batteries.