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

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.