Battery cell anomaly detection method and system of laminated battery
An abnormal detection and cell technology, applied in measurement devices, photovoltaic power generation, instruments, etc., can solve the problems of long detection time, low accuracy, missed detection, etc., to achieve better recognition accuracy, avoid missed detection, and improve computing efficiency Effect
Active Publication Date: 2022-06-03
浙江双元科技股份有限公司
View PDF11 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0005] This method can safely detect the internal structure of the lithium battery through the X-Ray visual system, but the detection time is long, and when the situation is more complicated, the detection accuracy is low, and there are missed detections
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0029] In order to better understand the above technical solutions, the above technical solutions will be described in detail below with reference to the accompanying drawings and specific embodiments.
[0030] In order to facilitate the understanding of the present application, the structure of the laminated battery cell involved in the present application is first described. refer to figure 1 , the cell of the laminated battery includes a plurality of positive electrode sheets 1001 and negative electrode sheets 1002 arranged at intervals. 1002 leads out a negative tab 1005. A separator is provided between the positive electrode sheet 1001 and the negative electrode sheet 1002, and lithium ions in the electrolyte in the separator move to generate electricity. A single-sided sheet 1003 is arranged between every two cells to distinguish two or more cells.
[0031] The technical solutions of the embodiments of the present application will be described in detail below with ref...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a battery cell anomaly detection method and system for a laminated battery. The method comprises the following steps: acquiring a to-be-detected battery cell image through X-Ray equipment; preprocessing the to-be-detected battery cell image, and extracting a region-of-interest image; inputting the region-of-interest image into a pre-established neural network detection model to obtain the number of layers of positive plates and negative plates in the region-of-interest image; segmenting the region-of-interest image according to the number of layers to obtain a segmented image; inputting the segmented images into a pre-established convolutional neural network model to obtain a positive plate endpoint thermodynamic diagram and a negative plate endpoint thermodynamic diagram in each segmented image; positive plate endpoints and negative plate endpoints in the positive plate endpoint thermodynamic diagram and the negative plate endpoint thermodynamic diagram are screened; performing anomaly detection based on the screened positive plate endpoints and negative plate endpoints; according to the method, the number of pole piece layers is calculated through the neural network, feature recognition is performed through the convolutional neural network model, and the anomaly detection accuracy and efficiency are high.
Description
technical field [0001] The invention relates to the technical field of battery cell detection, in particular to a method and system for abnormality detection of a battery cell of a laminated battery. Background technique [0002] The method of non-destructive testing of laminated lithium-ion batteries using X-ray imaging technology has become an indispensable link in production, which is helpful for battery quality control. When X-rays are used to detect the abnormality of lithium electronic cells, X-rays are first sent out through the X-Ray transmitter to penetrate the cells, and then the X-rays are received and imaged by the receiving end, and then the X-ray images are processed by software algorithms to obtain relevant data. , and finally determine the good and bad products according to the process requirements. In the testing process, automated mechanical equipment is mainly responsible for the logistics and transportation of cells or batteries composed of cells, photo ...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06V10/25G06V10/26G06V10/82G06N3/04G01N23/04
CPCG06T7/0004G01N23/04G01N2223/401G01N2223/1016G06N3/045Y02P70/50
Inventor 陈文君唐玉辉胡美琴
Owner 浙江双元科技股份有限公司