17948841. X-RAY RADIOGRAPHS BASED FAULT DETECTION AND PREDICTION FOR BATTERY CELLS simplified abstract (GM GLOBAL TECHNOLOGY OPERATIONS LLC)
Contents
X-RAY RADIOGRAPHS BASED FAULT DETECTION AND PREDICTION FOR BATTERY CELLS
Organization Name
GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor(s)
Diana M. Wegner of Bloomfield Hills MI (US)
Megan E. Mcgovern of Detroit MI (US)
Dmitriy Bruder of Clinton Twp. MI (US)
Sean Robert Wagner of Shelby Township MI (US)
Tanjina Ahmed of Warren MI (US)
Evan William Schmitz of Oxford MI (US)
X-RAY RADIOGRAPHS BASED FAULT DETECTION AND PREDICTION FOR BATTERY CELLS - A simplified explanation of the abstract
This abstract first appeared for US patent application 17948841 titled 'X-RAY RADIOGRAPHS BASED FAULT DETECTION AND PREDICTION FOR BATTERY CELLS
Simplified Explanation
The method described in the patent application involves using X-Ray radiographic images to detect defects in battery cells. Here is a simplified explanation of the abstract:
- Receiving an X-Ray radiographic image of a battery cell
- Segmenting the X-Ray radiographic image into regions of interest using a classifier
- Processing the segmented image to identify features of the battery cell
- Detecting whether any of the features in the processed image is defective
- Determining whether the battery cell is defective based on the presence of defective features
Potential Applications:
- Quality control in battery manufacturing
- Preventing faulty batteries from entering the market
Problems Solved:
- Early detection of defects in battery cells
- Ensuring the safety and reliability of battery-powered devices
Benefits:
- Improved battery performance
- Increased safety for consumers
- Cost savings by preventing defective products from reaching the market
Potential Commercial Applications:
- Battery manufacturing companies
- Consumer electronics companies
- Automotive industry
Possible Prior Art: One possible prior art for this technology could be the use of X-Ray imaging in the medical field to detect abnormalities in the human body.
Unanswered Questions: 1. How does this method compare to traditional methods of detecting defects in battery cells? 2. Are there any limitations to the size or type of battery cells that can be effectively analyzed using this method?
Original Abstract Submitted
A method for detecting defects in battery cells includes receiving an X-Ray radiographic image of a battery cell and segmenting the X-Ray radiographic image into regions of interest using a classifier. The method includes processing the segmented X-Ray radiographic image using the classifier to identify features of the battery cell, detecting whether one or more of the features in the processed X-Ray radiographic image is defective using the classifier, and determining using the classifier whether the battery cell is defective based on whether one or more of the features in the processed X-Ray radiographic image is defective.
