WO2022084040A1 - Wicklungsoptimierung - Google Patents
Wicklungsoptimierung Download PDFInfo
- Publication number
- WO2022084040A1 WO2022084040A1 PCT/EP2021/077557 EP2021077557W WO2022084040A1 WO 2022084040 A1 WO2022084040 A1 WO 2022084040A1 EP 2021077557 W EP2021077557 W EP 2021077557W WO 2022084040 A1 WO2022084040 A1 WO 2022084040A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- winding
- course
- windings
- optimized
- wire
- Prior art date
Links
- 238000004804 winding Methods 0.000 title claims abstract description 129
- 238000005457 optimization Methods 0.000 title description 2
- 238000004519 manufacturing process Methods 0.000 claims abstract description 27
- 238000000034 method Methods 0.000 claims description 26
- 238000004364 calculation method Methods 0.000 claims description 9
- 238000013473 artificial intelligence Methods 0.000 claims description 6
- 230000004907 flux Effects 0.000 claims description 2
- 230000008569 process Effects 0.000 description 7
- 239000000463 material Substances 0.000 description 5
- 238000011156 evaluation Methods 0.000 description 4
- 230000008901 benefit Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012512 characterization method Methods 0.000 description 1
- 239000004020 conductor Substances 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000008719 thickening Effects 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02K—DYNAMO-ELECTRIC MACHINES
- H02K15/00—Methods or apparatus specially adapted for manufacturing, assembling, maintaining or repairing of dynamo-electric machines
- H02K15/08—Forming windings by laying conductors into or around core parts
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/17—Mechanical parametric or variational design
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
- G06T1/0007—Image acquisition
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01F—MAGNETS; INDUCTANCES; TRANSFORMERS; SELECTION OF MATERIALS FOR THEIR MAGNETIC PROPERTIES
- H01F41/00—Apparatus or processes specially adapted for manufacturing or assembling magnets, inductances or transformers; Apparatus or processes specially adapted for manufacturing materials characterised by their magnetic properties
- H01F41/02—Apparatus or processes specially adapted for manufacturing or assembling magnets, inductances or transformers; Apparatus or processes specially adapted for manufacturing materials characterised by their magnetic properties for manufacturing cores, coils, or magnets
- H01F41/04—Apparatus or processes specially adapted for manufacturing or assembling magnets, inductances or transformers; Apparatus or processes specially adapted for manufacturing materials characterised by their magnetic properties for manufacturing cores, coils, or magnets for manufacturing coils
- H01F41/06—Coil winding
- H01F41/082—Devices for guiding or positioning the winding material on the former
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02K—DYNAMO-ELECTRIC MACHINES
- H02K11/00—Structural association of dynamo-electric machines with electric components or with devices for shielding, monitoring or protection
- H02K11/30—Structural association with control circuits or drive circuits
- H02K11/35—Devices for recording or transmitting machine parameters, e.g. memory chips or radio transmitters for diagnosis
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02K—DYNAMO-ELECTRIC MACHINES
- H02K15/00—Methods or apparatus specially adapted for manufacturing, assembling, maintaining or repairing of dynamo-electric machines
- H02K15/02—Methods or apparatus specially adapted for manufacturing, assembling, maintaining or repairing of dynamo-electric machines of stator or rotor bodies
Definitions
- the invention relates to a method for producing a winding of a coil according to the preamble of patent claim 1 .
- the object of the invention is therefore to provide a method for winding a coil which improves the reproducibility of the operating parameters and in particular which reduces the material consumption in the production of electrical windings of coils.
- a flyer is understood to be a very rapidly rotating disk or a rapidly rotating arm for producing wire windings of coils.
- Other types of guides are also conceivable when winding wire onto spools.
- a coil comprises a winding made of a wire.
- a winding comprises a large number of windings in the form of one circumnavigation of the coil core, e.g. B. of the stator tooth or rotor tooth with a wire loop.
- the invention provides a method for producing a winding of a coil around a component, z. B. a stator tooth or rotor tooth of an electric motor, wherein to produce the winding at least one wire is guided over at least one arm or the like encircling the component in a rotational movement in such a way that the wire is wound in successive turns is wound around the component, with at least one image acquisition device and/or at least one computer unit providing information about the course of windings that have already been wound, with the arm being dynamically controlled in a type of movement that differs from the encircling rotational movement in such a way that the current winding applied with the movement is opposite to one already previously applied adjacent windings optimized determined winding course follows.
- a degree of freedom for minimizing the wire length is created.
- This degree of freedom is the guidance of the flyer arms. These are not guided according to a fixed pattern, for example in the manner of being guided back and forth, but in such a way that the falling of the winding is detected by means of an image acquisition device and the movement of the flyer arms is controlled dynamically. This allows the wire to take the shortest route around the tooth of the stator or rotor.
- the wire can be wound very quickly, which can reduce the costs of a manufacturing process, for example by reducing the corresponding throughput time.
- material can be saved in the manufacturing process, which can also lead to a reduction in costs.
- the winding to be newly laid is preferably inferred from the winding that has already been wound. In the case of only a small deviation from the desired pattern, which would have to be corrected due to the high time requirement, after a predetermined pattern wound, which can reduce the overall time required in the manufacture of winding the coil.
- an optimized wire length can reduce the electrical losses when operating the winding of the coil, for example within an electric motor, and the motor can thus be used more efficiently and cost-effectively.
- the operational reliability of the motor can be increased, since it is necessary to have knowledge of the precise parameters of the electric motor, in particular the coils, in order to determine the rotor position in the case of methods without a rotary encoder.
- the actual circumference of individual windings is a variable that can be determined quickly using the image acquisition device. From the knowledge of the extent, the wire length already used can be quickly calculated using simple formulas, which can reduce the time required for the computing power of the controller and thus the manufacturing process.
- the optimized winding course runs as the course of the current winding with the smallest possible extent compared to the neighboring windings.
- the optimized course of the windings runs as a course with the lowest possible number of radial stacks of windings compared to the neighboring windings.
- the optimized winding course is weighted as a course with a possible jump distance to the previous winding, compared to the neighboring windings.
- the computer unit includes a memory unit and stores information about windings of previously manufactured coils, namely winding scenarios of finished windings, with the information being obtained from the control of the arm and/or from the image acquisition device and in particular further data in the form of the physical parameters obtained , such as B. Wire length, resistance, magnetic flux of the wound coil, etc. recorded and stored assigned to the winding scenario.
- the data that has accumulated in the course of the manufacturing process of coils that have already been manufactured can flow into the manufacturing process of coils that are to be manufactured in the future.
- the decision-making process for the winding courses in the manufacturing process can be continuously improved with the manufacture of each additional coil.
- the data from the coils that have already been manufactured flow into the decision-making process, in particular of a relevant artificial intelligence, after the end of their manufacturing process.
- the manufacturing process of the coils to be manufactured in the future can be improved as a result.
- the calculation of the determined winding course which is optimized compared to neighboring windings that have already been applied beforehand, takes place in real time, preferably for each subsequent winding immediately before it is applied.
- the computer unit includes an artificial intelligence, which weights and influences the determined winding profile, which is optimized compared to neighboring windings that have already been applied.
- an artificial intelligence which weights and influences the determined winding profile, which is optimized compared to neighboring windings that have already been applied.
- the winding can be accelerated in such a way that time-consuming calculations for measuring the wire runs are reduced and replaced by a learned pattern for the winding.
- a new turn to be laid is always inferred from a turn that has already been wound. If there is a deviation from a predetermined winding pattern, this deviation is corrected in favor of saving material. However, if the correction would take up too much time, the winding will continue according to the specified winding pattern.
- Figure 1 is a schematic sectional view of the winding of a stator tooth or rotor tooth
- FIG. 2 shows a flowchart in which the sequence of the method according to the invention is shown.
- FIG. 1 schematically shows a stator tooth or rotor tooth ( 4 ) around which a wire is laid to produce a winding.
- the turns ( 3 ) already wound are followed by a new turn ( 1 ) to be laid .
- a flyer arm (not shown) whose movement is controlled ensures that the new winding (1) to be laid follows a relative movement (2) in such a way that it comes to rest at one point on the tooth, despite the somewhat statistical "wild" winding technique , in favor of a minimized wire length and a fast manufacturing process, is optimized
- the winding to be laid ( 1 ) as well as the already wound windings ( 3 ) of the coil are laid down by means of an image acquisition device (not shown) and evaluated.
- the optimal course of the wire at any given point in time is calculated with the help of an artificial intelligence. This uses measurement data, for example with regard to the wire resistance of coils that have already been wound, in order to learn dynamically and improve your decisions .
- FIG. 2 A flow chart is shown in FIG. 2, on the basis of which the method according to the invention is explained.
- an image acquisition device records the course of the wire of windings that have already been wound in the area adjacent to a winding that is to be newly laid. (6) This is followed by an evaluation of an image from the image acquisition device and/or of data on windings that have already been wound. This creates knowledge about the actual circumference of the windings (3) already wound (shown in FIG. 1) in the neighboring area of a winding (2) to be newly laid (shown in FIG. 1).
Abstract
Description
Claims
Priority Applications (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202180085831.1A CN116635959A (zh) | 2020-10-21 | 2021-10-06 | 绕组优化 |
EP21787428.8A EP4211782A1 (de) | 2020-10-21 | 2021-10-06 | Wicklungsoptimierung |
KR1020237016710A KR20230091128A (ko) | 2020-10-21 | 2021-10-06 | 권선 최적화 |
US18/249,608 US20230387766A1 (en) | 2020-10-21 | 2021-10-06 | Winding optimization |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE102020127708.3A DE102020127708A1 (de) | 2020-10-21 | 2020-10-21 | Wicklungsoptimierung |
DE102020127708.3 | 2020-10-21 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2022084040A1 true WO2022084040A1 (de) | 2022-04-28 |
Family
ID=78085703
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/EP2021/077557 WO2022084040A1 (de) | 2020-10-21 | 2021-10-06 | Wicklungsoptimierung |
Country Status (6)
Country | Link |
---|---|
US (1) | US20230387766A1 (de) |
EP (1) | EP4211782A1 (de) |
KR (1) | KR20230091128A (de) |
CN (1) | CN116635959A (de) |
DE (1) | DE102020127708A1 (de) |
WO (1) | WO2022084040A1 (de) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116053028A (zh) * | 2023-03-27 | 2023-05-02 | 深圳市斯比特技术股份有限公司 | 一种集成型磁性元器件绕组的绕制方法 |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20070284472A1 (en) * | 2006-04-20 | 2007-12-13 | Maschinenfabrik Niehoff Gmbh & Co. Kg | Method and device for laying of elongated winding material |
US20170091674A1 (en) * | 2015-09-30 | 2017-03-30 | Fanuc Corporation | Machine learning apparatus and coil producing apparatus |
JP2018174682A (ja) * | 2017-03-31 | 2018-11-08 | アイチエレック株式会社 | 巻線装置 |
DE102017006083A1 (de) * | 2017-06-28 | 2019-01-03 | Audi Ag | Verfahren und Wickelmaschine zum automatisierten Herstellen einer Spulenwicklung unter Berücksichtigung des Drahtdurchmessers |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
FR2677802B1 (fr) | 1991-06-14 | 1994-09-09 | Alsthom Gec | Bobinage electrique et son procede d'enroulement. |
JP6514166B2 (ja) | 2016-09-16 | 2019-05-15 | ファナック株式会社 | ロボットの動作プログラムを学習する機械学習装置,ロボットシステムおよび機械学習方法 |
US11062207B2 (en) | 2016-11-04 | 2021-07-13 | Raytheon Technologies Corporation | Control systems using deep reinforcement learning |
DE102016014371A1 (de) | 2016-12-02 | 2018-06-07 | Audi Ag | Nadelwickelvorrichtung |
-
2020
- 2020-10-21 DE DE102020127708.3A patent/DE102020127708A1/de active Pending
-
2021
- 2021-10-06 EP EP21787428.8A patent/EP4211782A1/de active Pending
- 2021-10-06 WO PCT/EP2021/077557 patent/WO2022084040A1/de active Application Filing
- 2021-10-06 CN CN202180085831.1A patent/CN116635959A/zh active Pending
- 2021-10-06 KR KR1020237016710A patent/KR20230091128A/ko unknown
- 2021-10-06 US US18/249,608 patent/US20230387766A1/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20070284472A1 (en) * | 2006-04-20 | 2007-12-13 | Maschinenfabrik Niehoff Gmbh & Co. Kg | Method and device for laying of elongated winding material |
US20170091674A1 (en) * | 2015-09-30 | 2017-03-30 | Fanuc Corporation | Machine learning apparatus and coil producing apparatus |
JP2018174682A (ja) * | 2017-03-31 | 2018-11-08 | アイチエレック株式会社 | 巻線装置 |
DE102017006083A1 (de) * | 2017-06-28 | 2019-01-03 | Audi Ag | Verfahren und Wickelmaschine zum automatisierten Herstellen einer Spulenwicklung unter Berücksichtigung des Drahtdurchmessers |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116053028A (zh) * | 2023-03-27 | 2023-05-02 | 深圳市斯比特技术股份有限公司 | 一种集成型磁性元器件绕组的绕制方法 |
Also Published As
Publication number | Publication date |
---|---|
DE102020127708A1 (de) | 2022-04-21 |
US20230387766A1 (en) | 2023-11-30 |
EP4211782A1 (de) | 2023-07-19 |
KR20230091128A (ko) | 2023-06-22 |
CN116635959A (zh) | 2023-08-22 |
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