CN219997017U - Online detection device for baking moisture in battery production - Google Patents
Online detection device for baking moisture in battery production Download PDFInfo
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- CN219997017U CN219997017U CN202320958109.0U CN202320958109U CN219997017U CN 219997017 U CN219997017 U CN 219997017U CN 202320958109 U CN202320958109 U CN 202320958109U CN 219997017 U CN219997017 U CN 219997017U
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- 238000004519 manufacturing process Methods 0.000 title claims abstract description 23
- 238000001514 detection method Methods 0.000 title claims abstract description 21
- 238000001035 drying Methods 0.000 claims abstract description 38
- 238000000034 method Methods 0.000 claims description 12
- 238000005086 pumping Methods 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 abstract description 13
- 238000010586 diagram Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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Abstract
The utility model is applicable to the technical field of battery manufacturing, and provides a baking moisture on-line detection device for battery production, which comprises the following steps: in the first step, baking a plurality of batteries in a plurality of drying furnaces; step two, in the step one, vacuumizing is carried out on a plurality of batteries at the same time; step three, detecting concentrated water content in one or more furnace chambers in the drying furnace; the third step comprises the following steps: carrying out concentrated vacuumizing on a plurality of batteries in one or more drying furnaces, and detecting the water content of gas output by concentrated vacuumizing by a residual gas analyzer or a leakage point instrument arranged in an air inlet of a concentrated vacuum pump; thereby realized carrying out concentrated water content detection to one or more dry stove interior furnace chamber, compared artifical off-line detection has improved work efficiency greatly, and promotes the line degree of automation.
Description
Technical Field
The utility model belongs to the technical field of battery manufacturing, and particularly relates to an on-line detection device for baking moisture in battery production.
Background
After the battery is baked and vacuumized in the processing and manufacturing links, the water content of the battery is often detected outside the manual line, so that the working efficiency is low, the cost is high, the full-automatic production cannot be realized, and the use requirements of people cannot be met.
Disclosure of Invention
In view of the shortcomings of the prior art, the utility model aims to provide an efficient baking moisture on-line detection method for battery production, which is high in efficiency and cost, needs manual intervention and is low in automation degree.
In one aspect, the present utility model provides an on-line detection device for baking moisture in battery production, the device comprising:
a plurality of drying ovens, each of which is used for baking a plurality of batteries in the drying ovens;
the vacuum pumps are connected with the drying furnaces one by one and are used for vacuumizing the batteries in the drying furnaces;
a centralized vacuum pump for pumping the gas in the drying furnace chambers;
an integrated vacuum tube connecting the centralized vacuum pump with a plurality of drying furnaces;
the check valves are connected in series between the drying furnace and the vacuum pump one by one and prevent air flow entering the drying furnace from the outside of the vacuum pump.
Further preferably, the apparatus further comprises: a sensor of a residual gas analyzer or a sensor of a leak detector disposed in an air inlet of the centralized vacuum pump.
At least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the battery production moisture rapid detection method described above.
The utility model has the beneficial effects that: in the first step, baking a plurality of batteries in a plurality of drying furnaces; step two, in the step one, vacuumizing is carried out on a plurality of batteries at the same time; step three, detecting concentrated water content of a plurality of batteries in one or more drying furnaces; the third step comprises: carrying out concentrated vacuumizing on the cavities in one or more drying furnaces, and detecting the water content of gas output by concentrated vacuumizing; therefore, concentrated water content detection is carried out on a plurality of batteries in one or a plurality of drying furnaces, the working efficiency is greatly improved compared with manual off-line detection, the cost is low, and full-automatic production is realized.
Drawings
FIG. 1 is a flowchart of an implementation of a method for online detection of baking moisture in battery production according to an embodiment of the present utility model;
fig. 2 is a schematic system diagram of a device for rapidly detecting moisture in battery production according to a second embodiment of the present utility model;
fig. 3 is a diagram showing an exemplary structure of a device for rapidly detecting moisture in battery production according to a second embodiment of the present utility model.
Detailed Description
The present utility model will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present utility model more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the utility model.
The following describes in detail the implementation of the present utility model in connection with specific embodiments:
embodiment one:
fig. 1 shows a flow chart of an implementation of the method for quickly detecting baking moisture in battery production according to the first embodiment of the present utility model, and for convenience of explanation, only the relevant parts of the embodiment of the present utility model are shown, and the detailed description is as follows:
in step S100, baking the plurality of batteries in the plurality of drying ovens;
in step S200, in step S100, the method further comprises simultaneously evacuating a plurality of batteries;
in step S300, concentrated water content detection is performed for the cavities within one or more drying ovens.
In an embodiment of the present utility model, it is further preferable that, in step S300, it includes: and carrying out concentrated vacuumizing on a plurality of batteries in one or more drying furnaces, and detecting the water content of gas output by concentrated vacuumizing of the cavity.
Further, the method further comprises: the water content of the concentrated evacuated output gas is detected using a Residual Gas Analyzer (RGA) or leak detector.
In the embodiment of the utility model, in the first step, baking is performed on a plurality of batteries in a plurality of drying ovens; step two, in the step one, vacuumizing is carried out on a plurality of batteries at the same time; step three, detecting the concentrated water content of the cavity in one or more drying furnaces; the third step comprises the following steps: carrying out concentrated vacuumizing on a plurality of batteries in one or more drying furnaces, and detecting the water content of gas output by concentrated vacuumizing by a residual gas analyzer or a leakage point instrument arranged in an air inlet of a concentrated vacuum pump; therefore, the concentrated water content detection of one or more furnace chambers in the drying furnace is realized, the working efficiency is greatly improved compared with the manual off-line detection, and the cost is low.
Embodiment two:
fig. 2 and fig. 3 show an on-line detection device for baking moisture in battery production according to a second embodiment of the present utility model, as shown in fig. 2, the device 20 includes:
a plurality of drying ovens 210 each of which bakes a plurality of batteries in the drying ovens 210;
a plurality of vacuum pumps 211, which are connected to the plurality of drying ovens 210 one to one, for evacuating the plurality of batteries in the drying ovens 210;
a centralized vacuum pump 220 for pumping the gas in the plurality of drying ovens 210;
an integrated vacuum pipe 221 connecting the centralized vacuum pump 220 to a plurality of drying ovens 210;
a plurality of check valves (not shown) are connected in series between the drying oven 210 and the vacuum pump 211 one by one, and prevent air flow from outside the vacuum pump 211 into the drying oven 210.
As shown in fig. 2, the apparatus further includes:
a sensor of the residual gas analyzer 230 or a sensor of the leak detector 240 disposed within the air inlet of the centralized vacuum pump 220.
Further, the apparatus further comprises:
one or more processors (i.e., an industrial personal computer) 250, and a memory 251, one processor 250 being illustrated in fig. 2, the processor 250 and the memory 251 being coupled via a bus or other means, the bus coupling being illustrated in fig. 2.
Processor 250 is used to implement various control logic for apparatus 20, which may be a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), a single-chip microcomputer, ARM (Acorn RISC Machine) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof. Also, processor 250 may be any conventional processor, microprocessor, or state machine. Processor 250 may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.
The memory 251 is used as a non-volatile computer readable storage medium, and may be used to store a non-volatile software program, a non-volatile computer executable program, and a module, such as program instructions corresponding to the method for rapidly detecting moisture in battery production according to an embodiment of the present utility model. The processor 250 performs various functional applications of the apparatus 20 and data processing, i.e., implements the battery production moisture rapid detection method in the above-described method embodiment, by running nonvolatile software programs, instructions, and units stored in the memory 251.
The memory 251 may include a storage program area that may store an operating device, an application program required for at least one function, and a storage data area; the storage data area may store data created from the use of the apparatus 20, etc. In addition, memory 251 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some embodiments, memory 251 optionally includes memory remotely located relative to processor 250 that may be connected to apparatus 20 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
One or more units are stored in memory 251 that, when executed by one or more processors 250, perform the battery production moisture rapid detection method of any of the method embodiments described above, e.g., perform method steps S100 through S300 in fig. 1 described above.
What has been described herein in this specification and the drawings includes examples that can provide a method and apparatus for rapid detection of battery production moisture. It is, of course, not possible to describe every conceivable combination of components and/or methodologies for purposes of describing the various features of the present disclosure, but it may be appreciated that many further combinations and permutations of the disclosed features are possible. It is therefore evident that various modifications may be made thereto without departing from the scope or spirit of the disclosure. Further, or in the alternative, other embodiments of the disclosure may be apparent from consideration of the specification and drawings, and practice of the disclosure as presented herein. It is intended that the examples set forth in this specification and figures be considered illustrative in all respects as illustrative and not limiting. Although specific terms are employed herein, they are used in a generic and descriptive sense only and not for purposes of limitation.
Claims (3)
1. An on-line detection device for baking moisture in battery production, which is characterized by comprising:
a plurality of drying ovens, each of which is used for baking a plurality of batteries in the drying ovens;
the vacuum pumps are connected with the drying furnaces one by one and are used for vacuumizing the batteries in the drying furnaces;
a centralized vacuum pump for pumping the gas in the drying furnace chambers;
an integrated vacuum tube connecting the centralized vacuum pump with a plurality of drying furnaces;
the check valves are connected in series between the drying furnace and the vacuum pump one by one and prevent air flow entering the drying furnace from the outside of the vacuum pump.
2. The apparatus of claim 1, wherein the apparatus further comprises:
a sensor of a residual gas analyzer or a sensor of a leak detector disposed in an air inlet of the centralized vacuum pump.
3. The apparatus of claim 1, wherein the apparatus further comprises:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the battery production baked moisture on-line detection method of any of claims 1-2.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202320958109.0U CN219997017U (en) | 2023-04-25 | 2023-04-25 | Online detection device for baking moisture in battery production |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202320958109.0U CN219997017U (en) | 2023-04-25 | 2023-04-25 | Online detection device for baking moisture in battery production |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN219997017U true CN219997017U (en) | 2023-11-10 |
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ID=88617323
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202320958109.0U Active CN219997017U (en) | 2023-04-25 | 2023-04-25 | Online detection device for baking moisture in battery production |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN219997017U (en) |
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2023
- 2023-04-25 CN CN202320958109.0U patent/CN219997017U/en active Active
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