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Characterization of Electrode Materials for Lithium Ion and Sodium Ion Batteries Using Synchrotron Radiation Techniques

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Published on: November 11, 2013

Projection-Angle-Sensor-Assisted X-ray Computed Tomography for Cylindrical Lithium-Ion Batteries.

Jiawei Dong¹, Lingling Ju^2,3, Quanyuan Jiang^1,3

¹College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China.

Sensors (Basel, Switzerland)

|February 24, 2024

Summary

Errors in X-ray computed tomography (XCT) projection angles degrade lithium-ion battery imaging quality. Installing angle sensors on rotary tables helps calibrate angles, reducing artifacts and improving 3D reconstructions for battery analysis.

Keywords:

3D reconstruction XCT angle sensor error analysis lithium-ion batteries

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Last Updated: May 12, 2026

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Published on: November 11, 2013

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Failure Analysis of Batteries Using Synchrotron-based Hard X-ray Microtomography

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Published on: August 26, 2015

Area of Science:

Materials Science
Imaging Science
Electrochemistry

Background:

X-ray computed tomography (XCT) is crucial for non-destructive 3D imaging of lithium-ion batteries.
Image quality in XCT is vital for analyzing internal battery structures.
Rotary table errors introduce projection angle inaccuracies, degrading XCT image quality.

Purpose of the Study:

To quantify the impact of projection angle errors on XCT imaging quality for lithium-ion batteries.
To determine the necessary precision for projection angle sensors.
To improve XCT imaging quality by addressing angle errors.

Main Methods:

Experimental setup of an XCT scanning platform with an angle sensor for calibration.
Reconstruction of XCT images using a common 18650 cylindrical lithium-ion battery with introduced angle errors.
Analysis of image quality degradation caused by projection angle inaccuracies.

Main Results:

Projection angle errors introduce significant noise and stripe artifacts in XCT images.
Irregular artifacts appear in the image background due to angle inaccuracies.
Detection indicators like overall variation and residual projection error effectively reflect image quality trends.

Conclusions:

Projection angle accuracy is critical for high-quality XCT imaging of lithium-ion batteries.
Angle sensors can effectively calibrate projection angles, mitigating artifacts.
This research provides a method to improve XCT imaging quality for battery research.