A DETECTION SYSTEM

The magnetic imaging array sensor system addresses internal defects in lithium-ion battery cells by using magnetoelectric sensors for real-time defect detection, enhancing production efficiency and safety.

TR202514895A2Pending Publication Date: 2026-10-21SIRO SILK ROAD TEMİZ ENERJİ DEPOLAMA TEKNOLOJİLERİ SANAYİ & TİCARET ANONİM ŞİRKETİ
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Patent Information

Application Number
TR202514895
Authority / Receiving Office
TR · TR
Patent Type
Applications
Current Assignee / Owner
Filing Date
2025-10-10
Publication Date
2026-10-21

AI Technical Summary

Technical Problem

Existing lithium-ion battery production systems lack effective methods to detect internal structural defects in cells, such as micro short circuits and ion mobility irregularities, leading to production inefficiencies and safety risks.

Method used

A magnetic imaging array sensor system utilizing magnetoelectric sensors and processing units to non-destructively assess current density distribution and ion mobility within cells, converting charge signals into voltage signals for real-time defect detection.

Benefits of technology

Enables rapid, contactless detection of internal defects, improving production efficiency and safety by preventing defective cells from progressing to module or package stages, reducing costs and minimizing risks.

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Abstract

This invention relates to a system (1) that enables the detection of problems in the internal structures of cells by being used in the production line of lithium-ion batteries.
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Description

1 TARIFF A DETECTION SYSTEM Technical Area 5 This invention can be used in the production line of lithium-ion batteries to bring the cells inside It is related to a system that enables the identification of problems in structures. Previous Tech 10 Controls for cells in traditional battery production lines. These controls are generally implemented. Among these controls, input cell controls are typically performed. Only open circuit voltage (OCV), weight, thickness measurements and barcode reading. These measurements are limited to microscopic processes within the cells. detect defects, abnormal ion movements, or electrochemical disturbances. This is not sufficient to achieve this. This situation affects production at the module or package level. before proceeding to the next stage, the risk of using defective cells incorrectly. It increases. In addition, short circuits within the cells, layer failures, and Proceeding to module production without identifying other structural problems is both costly and... This can lead to both malfunctions and safety risks. Therefore, nowadays... by overcoming these problems, problems in the internal structure of the cells Solutions that detect quickly and without contact are needed. 25 Chinese patent CN112731223A, which is included in the prior art. in the document, current distribution of the battery cell with magnetoelectric sensor from a system configured for evaluation and troubleshooting This invention is a magnetic 30 based on the magnetoelectric effect. This describes the magnetic imaging array sensor. 2 an outer shield layer in the form of a hollow shell, at the base of the outer shield layer a positioned primary mechanical support layer, primary mechanical support a primary conductive layer located above the primary conductive layer multiple arranged on it and arranged in a series of forms a magnetoelectric sensitive element consisting of magnetoelectric sensitive elements 5 the array, a second array located on top of the magnetoelectric sensitive element array a conductive layer, a second conductive layer positioned on top of a second conductive layer above the mechanical support layer and the second mechanical support layer, multiple Converting charge signals from magnetoelectric sensitive elements into voltage signals 10 It consists of multiple front-end circuits used for conversion. This magnetic imaging array sensor, based on the magnetoelectric effect, detects the battery. It is able to detect current density distribution online and non-destructively. It can assess whether the battery is faulty and the current density. Based on its distribution, it can accurately determine the location of the fault. 15 This increases the safety of battery usage. Brief Description of the Invention The aim of this invention is to use it in the lithium-ion battery production line to convert cells into 20 Internal structural problems related to quality control and defect detection systems. The goal is to create a system that detects [the virus] quickly and without contact. Another purpose of the invention is to create a magnetic field during short-term charging and discharging operations. By analyzing the data, post-production quality control of cells can be made more precise. 25 and a system that ensures it is carried out reliably to accomplish. Another purpose of the invention is to perform input cell checks during battery production lines. Problems in the internal structures of cells can be detected using magnetoelectric sensors. The goal is to create a system that enables its detection. 3 Detailed Description of the Invention A "Detection System" has been added to achieve the purpose of this invention. This is shown in the figure; 5 Figure 1. Schematic view of a detection system that is the subject of the invention. The parts shown in the figure are individually numbered, and these numbers correspond to... The corresponding answers are given below: 10 1. System 2. Sensor 3. Processing unit P:Probe Quality control and defect assessment of cells are carried out using lithium-ion battery production lines. Problems within the detection systems can be resolved quickly and efficiently. The invention is a system that enables contactless detection (1), 20 - subjected to short-term charging or discharging processes on at least one lithium battery production line. configured to measure magnetic fields on captured cells multiple magnetoelectric sensors (2) and - communicate with magnetoelectric sensors (2), data on the established communication to carry out the purchase, analyze the magnetic field data measured by the sensor (2) 25 and depending on the magnetic field distribution data, the cells are defective and at least one processing unit structured to classify as healthy (3) It includes. The magnetoelectric sensor (2) in the system (1) which is the subject of the invention is lithium ion 30 Cells that pass through incoming checks on the battery production line are discharged or charged. 4 to measure the magnetic field and the magnetic field distribution during the process It is configured to calculate. Magnetoelectric sensor (2) is preferred. In practice, the processing unit (3) communicates with the processing unit via a data cable and It performs data exchange. Sensor (2) takes a measurement in the preferred application. The probe (P) is located on a specific measurement matrix. Sensor (2) charge 5 and / or subjected to discharge process and initiating ion movement within it to collect data from cells in which a magnetic field change is created It is being structured. The system in question (1) includes the processing unit (3) and the magnetoelectric sensor (2) 10 magnetic field collected with the matrix and obtained from different points of the cell Using distribution data, artificial intelligence algorithms can analyze the inside of the cell. to detect the regularity and abnormalities of ion mobility in its structure It is structured. The processing unit (3) is obtained with the magnetoelectric sensor (2) matrix. to analyze the collected data and detect micro short circuits, layer deformations or 15 Detecting potential cellular problems that may manifest as abnormal ion movements. It is structured to do so. The processing unit (3) analyzes the cells after processing. to classify as healthy or defective and to place healthy cells in the production line It is configured to guide the process of module and package assembly. The processing unit (3) also checks the cells according to the magnetic field distribution data. (as it should be), in the form of an internal (micro) short circuit or external physical pressure. It is structured to classify. In this way, excluding healthy individuals... The classified cells are automatically removed from the production line and recycled. or they can be directed to repair processes. In the system described in the invention, thanks to (1) magnetoelectric sensors (2), the cell The process is carried out by reading magnetic field data quickly without touching the surface. is done. The processing unit (3) charges and discharges the cell during short-term charging and discharging operations. It can precisely analyze magnetic anomalies occurring within its internal structure and Detecting defective cells before they reach the module or packet level 30 This ensures that production errors in the lithium-ion battery production line are avoided. The rate is being reduced and safety risks are being minimized. Also, defective Early detection of cells improves the overall efficiency of the production line and reduces costs. It prevents recalls. Around these basic concepts, there are many 5 related to the subject of the invention, “A Detection System (1)”. It is possible to develop various applications, and the invention described herein It cannot be limited to examples; it is essentially as stated in the requests.

Claims

6 REQUESTS 1. Quality control of cells using lithium-ion battery production line. and internal structural problems related to error detection systems can be resolved quickly. and enables contactless detection, 5 - subjected to short-term charging or discharging processes on at least one lithium battery production line. configured to measure magnetic fields on captured cells multiple magnetoelectric sensors (2) and - communicate with magnetoelectric sensors (2), data on the established communication To carry out the purchase, analyze the magnetic field data measured by the sensor (2) 10 and depending on the magnetic field distribution data, the cells are defective and with at least one processing unit (3) configured to classify as healthy a characterized system (1).

2. Cells that pass the incoming checks on the lithium-ion battery production line are 15 Measuring magnetic fields during discharge or charging processes and magnetic field with the magnetoelectric sensor (2) configured to calculate the distribution A system like the one in Claim 1, characterized (1).

3. The processing unit (3) communicates with the data 20 via a data cable. Claim 1 is characterized by the magnetoelectric sensor (2) that performs the transaction. or a system like in 2 (1).

4. A sensor located on a measuring probe (P) within a specific measuring matrix. (2) like any of the above claims characterized by 25 system (1).

5. A device that undergoes charging and / or discharging processes and in which ion movement occurs. to collect data from cells in which a magnetic field change is created by initiating the process Any of the above requirements characterized by the configured sensor (2) 30 a system like one of them (1). 7 6. Magnetoelectric sensor (2) matrix collected and different of the cell Artificial intelligence uses magnetic field distribution data obtained from these points. using algorithms to regulate ion mobility within the cell's internal structure and the processing unit (3) which is structured to detect its abnormalities A system like any of the above-mentioned requirements characterized (1). 5 7. To analyze the data obtained with the magnetoelectric sensor (2) matrix and in the form of micro short circuits, layer deformation, or abnormal ion movements a process structured to identify potential cellular problems 10 as in any of the above requests characterized by unit (3). a system (1).

8. After analysis, classify the cells as healthy or defective and directing healthy cells to module and package assembly on the production line The above 15 is characterized by the processing unit (3) which is configured to provide a system like any of the requests (1).

9. According to magnetic field distribution data, the cells are healthy (as they should be), to classify as internal short circuit (micro) or external physical stress 20 of the above requests characterized by the configured processing unit (3). a system like any other (1).