Lamination Device and Method for Discharging Defective Electrode Cell Assembly of Lamination Device
US-2023155159-A1 · May 18, 2023 · US
US2024319108A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2024319108-A1 |
| Application number | US-202418679435-A |
| Country | US |
| Kind code | A1 |
| Filing date | May 30, 2024 |
| Priority date | Jun 2, 2022 |
| Publication date | Sep 26, 2024 |
| Grant date | — |
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This application provides a cell detection method, device and system as well as a processor and a controller. The cell detection method may include: obtaining target detection data of a target cell; and determining a detection result of the target cell based on the target detection data and standard data. The cell detection method improves the detection efficiency and detection effect of the cells.
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What is claimed is: 1 . A cell detection method, characterized in that the method comprises: obtaining target detection data of a target cell; determining a detection result of the target cell based on the target detection data and standard data. 2 . The method according to claim 1 , characterized in that the standard data comprises a first distance, and the first distance is a distance between a sensor configured to detect the target detection data and a carrier device of the target cell. 3 . The method according to claim 2 , characterized in that the target detection data comprises a target distance, and the determining a detection result of the target cell based on the target detection data and standard data comprises: calculating a difference between the target distance and the first distance; and determining the detection result of the target cell based on the difference. 4 . The method according to claim 1 , characterized in that the standard data comprises a standard distance, the standard distance is determined based on a first distance and a type parameter of the target cell, and the first distance is a distance between a sensor configured to detect the target detection data and a carrier device of the target cell. 5 . The method according to claim 4 , characterized in that the target detection data comprises a target distance, and the determining a detection result of the target cell based on the target detection data and standard data comprises: comparing the target distance with the standard distance to determine the detection result of the target cell. 6 . The method according to claim 1 , characterized in that the target detection data comprises a target distance, and the determining a detection result of the target cell based on the target detection data and standard data comprises: determining whether the target distance falls within a threshold range defined by the standard data; and determining, when the target distance is not within the threshold range, that the detection result of the target cell is occurrence of abnormality of the target cell. 7 . The method according to claim 6 , characterized in that the target detection data comprises a plurality of target distances and an acquisition time of each target distance, and the determining a detection result of the target cell based on the target detection data and standard data further comprises: determining a first duration of abnormality of the target cell based on the acquisition time of each target distance when the target cell is abnormal; determining, when the first duration is greater than a first time threshold, that an abnormality type of the target cell is a separator abnormality; or determining, when the first duration is not greater than a first time threshold, that an abnormality type of the target cell is a spike abnormality. 8 . The method according to claim 1 , characterized in that the target detection data comprises a plurality of target distances and an acquisition time of each target distance, and the determining a detection result of the target cell based on the target detection data and standard data comprises: determining, based on the plurality of target distances and a threshold range of the standard data, whether each target distance in the plurality of target distances exceeds the threshold range; and determining the detection result of the target cell based on the acquisition time of each target distance exceeding the threshold range. 9 . The method according to claim 8 , characterized in that the determining the detection result of the target cell based on the acquisition time of each target distance exceeding the threshold range comprises: determining a number of interruptions of each target acquisition time based on a target acquisition time of each target distance exceeding the threshold range, wherein an interruption of the target acquisition time means that a time interval between two adjacent target acquisition times is greater than a time interval at which the target distance of the target cell is acquired; and determining, when the number of interruptions is greater than two, that the detection result of the target cell is occurrence of abnormality. 10 . The method according to claim 8 , characterized in that the determining the detection result of the target cell based on the acquisition time of each target distance exceeding the threshold range comprises: determining, based on the acquisition time of each target distance exceeding the threshold range, a second duration each time the target distance exceeds the threshold range; determining, when the second duration is greater than a first time threshold, that the detection result of the target cell is a separator abnormality; or determining, when the second duration is not greater than a first time threshold but greater than a second time threshold, that the detection result of the target cell is a spike abnormality or a tab abnormality. 11 . The method according to claim 8 , characterized in that the determining the detection result of the target cell based on the acquisition time of each target distance exceeding the threshold range comprises: determining, based on the acquisition time of each target distance exceeding the threshold range, a third duration each time the target distance exceeds the threshold range; determining, when a number of times the target distance exceeds the threshold range is greater than two, that the detection result of the target cell comprises a spike abnormality; determining, when the number of times the target distance exceeds the threshold range is less than two and the third duration is greater than a first time threshold, that the detection result of the target cell is a separator abnormality; and determining, when the number of times the target distance exceeds the threshold range is equal to two and the third duration any one time the target distance exceeds the threshold range is not greater than the first time threshold but greater than a second time threshold, that the detection result of the target cell is the spike abnormality or a tab abnormality. 12 . The method according to claim 1 , characterized in that the method further comprises: outputting a prompt message based on the detection result. 13 . The method according to claim 12 , characterized in that the detection result comprises one or more of an abnormality type, an abnormality time, an abnormality count, or a model of an abnormal cell; and the outputting a prompt message based on the detection result comprises: displaying, through a display interface, at least one of the abnormality type, the abnormality time, the abnormality count, or the model of an abnormal cell. 14 . The method according to claim 1 , characterized in that the method further comprises: acquiring cell image data in a detection range of a sensor when all detection results of target cells detected within a specified duration are identical, wherein the sensor is configured to acquire the target detection data of the target cells; determining offset data between the cell and the sensor based on the cell image data; and adjusting a location of the sensor based on the offset data. 15 . The method according to claim 1 , characterized in that the method further comprises: obtaining a type parameter of the target cell; determining a target location of a sensor based on the type parameter; and adjusting a location of the sensor based on the target location. 16 . The method according to claim 1 , characterized
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