CN117072468B - Compact noise reduction fan for ultra-efficient motor - Google Patents
Compact noise reduction fan for ultra-efficient motor Download PDFInfo
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- CN117072468B CN117072468B CN202311086036.1A CN202311086036A CN117072468B CN 117072468 B CN117072468 B CN 117072468B CN 202311086036 A CN202311086036 A CN 202311086036A CN 117072468 B CN117072468 B CN 117072468B
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- 238000001816 cooling Methods 0.000 claims abstract description 59
- 238000009423 ventilation Methods 0.000 claims abstract description 22
- 238000012544 monitoring process Methods 0.000 claims abstract description 16
- 238000007405 data analysis Methods 0.000 claims abstract description 12
- 238000005457 optimization Methods 0.000 claims abstract description 3
- 238000000034 method Methods 0.000 claims description 16
- 238000004804 winding Methods 0.000 claims description 10
- 238000012797 qualification Methods 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 description 13
- 239000012530 fluid Substances 0.000 description 6
- 230000017525 heat dissipation Effects 0.000 description 6
- 230000000694 effects Effects 0.000 description 4
- 230000005672 electromagnetic field Effects 0.000 description 4
- 238000000547 structure data Methods 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 229910000831 Steel Inorganic materials 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000004020 conductor Substances 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012821 model calculation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000001603 reducing effect Effects 0.000 description 1
- 238000005096 rolling process Methods 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D25/00—Pumping installations or systems
- F04D25/02—Units comprising pumps and their driving means
- F04D25/08—Units comprising pumps and their driving means the working fluid being air, e.g. for ventilation
- F04D25/082—Units comprising pumps and their driving means the working fluid being air, e.g. for ventilation the unit having provision for cooling the motor
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D27/00—Control, e.g. regulation, of pumps, pumping installations or pumping systems specially adapted for elastic fluids
- F04D27/001—Testing thereof; Determination or simulation of flow characteristics; Stall or surge detection, e.g. condition monitoring
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D29/00—Details, component parts, or accessories
- F04D29/58—Cooling; Heating; Diminishing heat transfer
- F04D29/5806—Cooling the drive system
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D29/00—Details, component parts, or accessories
- F04D29/66—Combating cavitation, whirls, noise, vibration or the like; Balancing
- F04D29/661—Combating cavitation, whirls, noise, vibration or the like; Balancing especially adapted for elastic fluid pumps
- F04D29/663—Sound attenuation
-
- 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
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02K—DYNAMO-ELECTRIC MACHINES
- H02K9/00—Arrangements for cooling or ventilating
- H02K9/02—Arrangements for cooling or ventilating by ambient air flowing through the machine
- H02K9/04—Arrangements for cooling or ventilating by ambient air flowing through the machine having means for generating a flow of cooling medium
- H02K9/06—Arrangements for cooling or ventilating by ambient air flowing through the machine having means for generating a flow of cooling medium with fans or impellers driven by the machine shaft
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2113/00—Details relating to the application field
- G06F2113/08—Fluids
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Mechanical Engineering (AREA)
- Geometry (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Mathematical Analysis (AREA)
- Computational Mathematics (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Thermal Sciences (AREA)
- Power Engineering (AREA)
- Motor Or Generator Cooling System (AREA)
Abstract
The invention discloses an ultra-efficient motor compact noise reduction fan which comprises a data acquisition module, wherein motor ventilation cooling data are acquired, and the motor ventilation cooling data comprise temperature values of all parts: the data analysis module is used for acquiring motor ventilation cooling data of the data monitoring module, and analyzing and calculating the motor ventilation cooling data to obtain a motor cooling coefficient; the data monitoring module is used for acquiring a noise reduction representation value of a fan in the motor when the cooling optimal signal of the data analysis module is obtained; and the optimization module is used for acquiring the influence coefficient XFB of the current standard fan structure when the noise unqualified signal of the data monitoring module is obtained and analyzing the structural parameters of the matched fan.
Description
Technical Field
The invention relates to the technical field of motors, in particular to an ultra-efficient motor compact noise reduction fan.
Background
Chinese patent CN212543497U discloses a high efficiency compact generator. Comprises a shell, a stator core, fixing ribs and a spigot; the shell is of a cylindrical structure, a stator core is sleeved in the shell, fixing ribs are uniformly distributed on the outer circumference of the stator core, the fixing ribs are connected with the stator core into a whole, and the shell and the stator core are in interference fit; the shell is formed by rolling a steel plate, and two ends of the shell are provided with rabbets to ensure concentricity; the diameter d1 of the stator core is 90% of the diameter d2 of the shell, and the length L1 of the stator core is 45% of the length L2 of the shell; in the prior art, the diameter of the stator core is enlarged under the condition that the total volume of the stator core is unchanged, the heat radiating area of the stator core is increased, the length of the stator core is reduced, and the heat radiating effect of the stator core is improved, but the prior fan has the problems that the structure is difficult to match with the heat radiating effect and the noise reducing effect.
Disclosure of Invention
The invention aims to solve the problems of the background technology and provides an ultra-efficient motor compact noise reduction fan.
The aim of the invention can be achieved by the following technical scheme:
an ultra-efficient motor compact noise reduction fan comprising:
the data acquisition module acquires motor ventilation and cooling data, wherein the motor ventilation and cooling data comprises temperature values TBi of all parts: the temperature values TBi of all the components comprise a winding temperature value in a slot, an end winding temperature value, a permanent magnet temperature value, a shell surface temperature value and a stator core temperature value, and are respectively marked as TB1, TB2, TB3, TB4 and TB5; i=1, 2, 3, 4, 5;
the data analysis module is used for acquiring motor ventilation cooling data of the data monitoring module, and analyzing and calculating the motor ventilation cooling data to obtain a motor cooling coefficient;
the data monitoring module is used for acquiring a noise reduction representation value of a fan in the motor when the cooling optimal signal of the data analysis module is obtained;
and the optimizing module is used for acquiring the structural influence coefficient XFB of the current standard fan when the noise disqualification signal of the data monitoring module is obtained, and analyzing and obtaining the structural parameters of the matched fan.
As a further scheme of the invention: the specific working process of the data analysis module is as follows:
by the formula xl= { (b1×tb1+b2×tb2+b3×tb3+b4×tb4+b5×tb 5) 1/2 Calculating to obtain a motor cooling coefficient XL by adopting the method of (1) and (b 1+b2+b3+b4+b 5); wherein b1, b2, b3, b4 and b5 are all proportionality coefficients.
As a further scheme of the invention: comparing the obtained motor cooling coefficient XL with a motor cooling coefficient threshold value;
if the motor cooling coefficient XL is more than or equal to the motor cooling coefficient threshold value, generating a cooling difference signal;
and if the motor cooling coefficient XL is smaller than the motor cooling coefficient threshold value, generating a cooling optimal signal.
As a further scheme of the invention: the specific working process of the data monitoring module is as follows:
setting an acquisition time node as T, and acquiring an initial motor noise value Zztc of an acquisition initial time Tc, a midpoint motor noise value ZZtz of an acquisition midpoint time Tz and an end motor noise value ZZtj of an acquisition end time Tj;
calculating to obtain a motor noise representation value ZZB through a formula ZZB=c1 xZztc+c2 xZZtz+c3 xZZtj; wherein, c1, c2 and c3 are all proportionality coefficients.
As a further scheme of the invention: comparing the obtained motor noise representation value ZZB with a motor noise representation threshold value;
if the motor noise representation value ZZB is more than or equal to the motor noise representation threshold value, generating a noise disqualification signal;
and if the motor noise representation value ZZB is smaller than the motor noise representation threshold value, generating a noise qualification signal.
As a further scheme of the invention: the specific working process of the optimization module is as follows:
acquiring the air volume value and the air pressure value of the fan, and marking as Zfl and Zfp; substituting the obtained air volume value Zfl and the air pressure value Zfp into a formula xz=zzb/(d 1 x Zfl +d2 x Zfp), and calculating to obtain a noise influence coefficient XZ; wherein d1 and d2 are proportionality coefficients;
and substituting the obtained noise influence coefficient XZ into a noise influence coefficient-fan structure influence coefficient curve in a rectangular coordinate system with the noise influence coefficient as an abscissa and the fan structure influence coefficient as an ordinate, and outputting a standard fan structure influence coefficient XFB.
As a further scheme of the invention: obtaining a standard fan structure influence coefficient XFB, wherein the structure data comprises the number of fan blades, the diameter of the blades and the width of the blades, and the structure data are respectively marked as Qm, vm and Zm;
calculating to obtain the number of fan blades S1 of the fan by the formula s1=e1 XFB;
calculating the blade diameter S2 of the fan by the formula s2=e2 XFB;
calculating the blade width S3 of the fan by the formula s3=e3 XFB;
wherein, e1, e2 and e3 are all proportionality coefficients, e1 takes on a value of 0.96, e2 takes on a value of 0.98 and e3 takes on a value of 0.97.
The invention has the beneficial effects that:
according to the invention, in the working process of the motor, the noise performance of the current motor under the condition of heat dissipation effect is judged through the analysis between the ventilation cooling condition of the motor and the noise condition of the motor, and under the condition of poor performance, the fan is divided into the optimized number of blades, the diameter of the blades and the width of the blades according to the relationship between the fan structure and the noise, so that the ultra-efficient motor compact noise reduction fan is matched with each other between the heat dissipation of the motor, the noise and the fan structure, and the heat dissipation and noise reduction performances of the motor fan are greatly improved.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a system block diagram of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention is an ultra-efficient motor compact noise reduction fan, comprising:
the data acquisition module adopts an ultra-high-efficiency motor accurate physical model to carry out coupling calculation modeling on an electromagnetic field, a temperature field and a fluid field, and determines motor ventilation cooling data, wherein the motor ventilation cooling data comprises temperature values TBi of all components: the temperature values TBi of all the components comprise a winding temperature value in a slot, an end winding temperature value, a permanent magnet temperature value, a shell surface temperature value and a stator core temperature value, and are respectively marked as TB1, TB2, TB3, TB4 and TB5; i=1, 2, 3, 4, 5;
wherein each component temperature value TBi is obtained by; by obtaining the average and maximum temperature values, and labelled TJi and Tmaxi, tbi=a1× TJi +a2×tmaxi; wherein, a1 and a2 are proportionality coefficients, the value of a1 is 0.25, and the value of a2 is 0.29;
the modeling method of the motor in the electromagnetic field-flow field-temperature field coupling calculation comprises the following steps:
establishing a finite element calculation model of the motor, and performing electromagnetic field numerical calculation to obtain the joule heat loss of each unit;
setting a rotor calculation domain as a multi-component fluid calculation domain, and establishing a fluid calculation domain of air, a rotor conductor and a rotor core model;
applying a rotational speed load to the rotor calculation domain, and carrying out flow field numerical calculation in the corresponding model calculation domain to obtain the fluid movement speed of each node;
loading the results obtained from the electromagnetic field numerical calculation and from the calculation fields of all parts of the multicomponent fluid into a temperature field as load to carry out solving calculation to obtain a temperature result;
the data analysis module is used for acquiring motor ventilation cooling data of the data monitoring module, and analyzing and calculating the motor ventilation cooling data to obtain a motor cooling coefficient;
the specific working process of the data analysis module is as follows:
step 1: obtaining an in-slot winding temperature value TB1, an end winding temperature value TB2, a permanent magnet temperature value TB3, a case surface temperature value TB4, and a stator core temperature value TB5, by the formula xl= { (b1+b2+tb2+b3+b3+b4+tb4+b5) 1/2 Calculating to obtain a motor cooling coefficient XL by adopting the method of (1) and (b 1+b2+b3+b4+b 5); wherein b1, b2, b3, b4 and b5 are all proportionality coefficients, b1 takes on a value of 0.63, b2 takes on a value of 0.34, b3 takes on a value of 0.62, b4 takes on a value of 0.30 and b5 takes on a value of 0.13;
step 2: comparing the obtained motor cooling coefficient XL with a motor cooling coefficient threshold value;
if the motor cooling coefficient XL is more than or equal to the motor cooling coefficient threshold value, generating a cooling difference signal;
if the motor cooling coefficient XL is smaller than the motor cooling coefficient threshold value, generating a cooling optimal signal;
the data monitoring module is used for acquiring a noise reduction representation value of a fan in the motor when the cooling optimal signal of the data analysis module is obtained;
the specific working process of the data monitoring module is as follows:
step 1: setting an acquisition time node as T, wherein the acquisition time node T comprises an acquisition initial time Tc, an acquisition midpoint time Tz and an acquisition end time Tj;
acquiring an initial motor noise value Zztc for acquiring initial time Tc, a midpoint motor noise value ZZtz for acquiring midpoint time Tz and an end motor noise value ZZttj for acquiring end time Tj;
calculating to obtain a motor noise representation value ZZB through a formula ZZB=c1 xZztc+c2 xZZtz+c3 xZZtj; wherein, c1, c2 and c3 are all proportionality coefficients, c1 takes on a value of 0.26, c2 takes on a value of 0.29, and c3 takes on a value of 0.25;
step 2: comparing the obtained motor noise representation value ZZB with a motor noise representation threshold value;
if the motor noise representation value ZZB is more than or equal to the motor noise representation threshold value, generating a noise disqualification signal;
if the motor noise representation value ZZB is smaller than the motor noise representation threshold value, generating a noise qualification signal;
the optimizing module is used for acquiring a current standard fan structure influence coefficient XFB when the noise disqualification signal of the data monitoring module is obtained, and analyzing and obtaining the structure parameters of the matched fan;
the specific working process of the optimizing module is as follows:
step 1: acquiring the air volume value and the air pressure value of the fan, and marking as Zfl and Zfp; substituting the obtained air volume value Zfl and the air pressure value Zfp into a formula xz=zzb/(d 1 x Zfl +d2 x Zfp), and calculating to obtain a noise influence coefficient XZ; wherein, d1 and d2 are proportionality coefficients, d1 takes on a value of 0.42, and d2 takes on a value of 0.48;
step 2: substituting the obtained noise influence coefficient XZ into a noise influence coefficient-fan structure influence coefficient curve in a rectangular coordinate system with the noise influence coefficient as an abscissa and the fan structure influence coefficient as an ordinate, and outputting a standard fan structure influence coefficient XFB;
step 3: obtaining a standard fan structure influence coefficient XFB, wherein the structure data comprises the number of fan blades, the diameter of the blades and the width of the blades, and the structure data are respectively marked as Qm, vm and Zm;
calculating to obtain the number of fan blades S1 of the fan by the formula s1=e1 XFB;
calculating the blade diameter S2 of the fan by the formula s2=e2 XFB;
calculating the blade width S3 of the fan by the formula s3=e3 XFB;
wherein, e1, e2 and e3 are all proportionality coefficients, the value of e1 is 0.96, the value of e2 is 0.98, and the value of e3 is 0.97;
step 4: according to the obtained number S1 of the fan blades, the blade diameter S2 and the blade width S3, the fan with the corresponding structure is selected.
Based on the above embodiment 1, the present invention is a matching method of an ultra-efficient motor compact noise reduction fan, comprising the following steps:
step 1: coupling calculation modeling is carried out on an electromagnetic field, a temperature field and a fluid field by adopting an ultra-high-efficiency motor accurate physical model, motor ventilation cooling data are determined, and the motor ventilation cooling data comprise temperature values TBi of all components: the temperature value TBi of each component comprises a winding temperature value in a slot, an end winding temperature value, a permanent magnet temperature value, a shell surface temperature value and a stator core temperature value;
step 2: acquiring motor ventilation cooling data of the data monitoring module, and analyzing and calculating the motor ventilation cooling data to obtain a motor cooling coefficient;
step 3: when a cooling optimal signal of the data analysis module is obtained, a noise reduction representation value of a fan in the motor is obtained;
step 4: when the noise disqualified signal of the data monitoring module is obtained, the current standard fan structure influence coefficient XFB is obtained, and the structural parameters of the matched fan are obtained through analysis.
The working principle of the invention is as follows: according to the invention, in the working process of the motor, the noise performance of the current motor under the condition of heat dissipation effect is judged through the analysis between the ventilation cooling condition of the motor and the noise condition of the motor, and under the condition of poor performance, the fan is divided into the optimized number of blades, the diameter of the blades and the width of the blades according to the relationship between the fan structure and the noise, so that the ultra-efficient motor compact noise reduction fan is matched with each other between the heat dissipation of the motor, the noise and the fan structure, and the heat dissipation and noise reduction performances of the motor fan are greatly improved.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (3)
1. An ultra-efficient motor compact noise reduction fan, comprising:
the data acquisition module acquires motor ventilation and cooling data, wherein the motor ventilation and cooling data comprises temperature values TBi of all parts: the temperature values TBi of all the components comprise a winding temperature value in a slot, an end winding temperature value, a permanent magnet temperature value, a shell surface temperature value and a stator core temperature value, and are respectively marked as TB1, TB2, TB3, TB4 and TB5; i=1, 2, 3, 4, 5;
the data analysis module is used for acquiring motor ventilation cooling data of the data acquisition module, and analyzing and calculating the motor ventilation cooling data to obtain a motor cooling coefficient;
the data monitoring module is used for acquiring a noise reduction representation value of a fan in the motor when the cooling optimal signal of the data analysis module is obtained;
the optimizing module is used for acquiring a current standard fan structure influence coefficient XFB when the noise disqualification signal of the data monitoring module is obtained, and analyzing and obtaining the structure parameters of the matched fan;
the specific working process of the data analysis module is as follows:
by the formula xl= { (b1×tb1+b2×tb2+b3×tb3+b4×tb4+b5×tb 5) 1/2 Calculating to obtain a motor cooling coefficient XL by adopting the method of (1) and (b 1+b2+b3+b4+b 5); wherein b1, b2, b3, b4 and b5 are all proportionality coefficients;
the specific working process of the data monitoring module is as follows:
setting an acquisition time node as T, and acquiring an initial motor noise value Zztc of an acquisition initial time Tc, a midpoint motor noise value ZZtz of an acquisition midpoint time Tz and an end motor noise value ZZtj of an acquisition end time Tj;
calculating to obtain a motor noise representation value ZZB through a formula ZZB=c1 xZztc+c2 xZZtz+c3 xZZtj; wherein c1, c2 and c3 are all proportionality coefficients;
the specific working process of the optimization module is as follows:
acquiring the air volume value and the air pressure value of the fan, and marking as Zfl and Zfp; substituting the obtained air volume value Zfl and the air pressure value Zfp into a formula xz=zzb/(d 1 x Zfl +d2 x Zfp), and calculating to obtain a noise influence coefficient XZ; wherein d1 and d2 are proportionality coefficients;
and substituting the obtained noise influence coefficient XZ into a noise influence coefficient-fan structure influence coefficient curve in a rectangular coordinate system with the noise influence coefficient as an abscissa and the fan structure influence coefficient as an ordinate, and outputting a standard fan structure influence coefficient XFB.
2. The ultra efficient motor compact noise reduction fan as recited in claim 1, wherein the resulting motor cooling coefficient XL is compared to a motor cooling coefficient threshold;
if the motor cooling coefficient XL is more than or equal to the motor cooling coefficient threshold value, generating a cooling difference signal;
and if the motor cooling coefficient XL is smaller than the motor cooling coefficient threshold value, generating a cooling optimal signal.
3. The ultra efficient motor compact noise reduction fan as recited in claim 1, wherein the resulting motor noise representation value zzzb is compared to a motor noise representation threshold;
if the motor noise representation value ZZB is more than or equal to the motor noise representation threshold value, generating a noise disqualification signal;
and if the motor noise representation value ZZB is smaller than the motor noise representation threshold value, generating a noise qualification signal.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101383541A (en) * | 2007-12-21 | 2009-03-11 | 清华大学 | Design method for highly efficient rear incline centrifugal type cooling external fan for high-voltage asynchronous motor |
| CN109185185A (en) * | 2018-09-04 | 2019-01-11 | 合肥巨动力系统有限公司 | A kind of air cooled motor controller cooling fan control system and method |
| CN112196821A (en) * | 2020-09-30 | 2021-01-08 | 江苏徐工工程机械研究院有限公司 | Heat dissipation and noise cooperative matching device, optimization method and system |
| CN114412816A (en) * | 2021-12-20 | 2022-04-29 | 盐城聚德机械零部件有限公司 | Noise reduction method for engine cooling fan |
| CN114412815A (en) * | 2021-12-20 | 2022-04-29 | 盐城聚德机械零部件有限公司 | Structural design method of axial flow cooling fan for vehicle |
| CN114741867A (en) * | 2022-04-06 | 2022-07-12 | 东软睿驰汽车技术（沈阳）有限公司 | Fan configuration method of domain controller of vehicle and related device |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7708056B2 (en) * | 2006-03-30 | 2010-05-04 | Inventec Corporation | Fan controlling system and method |
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- 2023-08-28 CN CN202311086036.1A patent/CN117072468B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101383541A (en) * | 2007-12-21 | 2009-03-11 | 清华大学 | Design method for highly efficient rear incline centrifugal type cooling external fan for high-voltage asynchronous motor |
| CN109185185A (en) * | 2018-09-04 | 2019-01-11 | 合肥巨动力系统有限公司 | A kind of air cooled motor controller cooling fan control system and method |
| CN112196821A (en) * | 2020-09-30 | 2021-01-08 | 江苏徐工工程机械研究院有限公司 | Heat dissipation and noise cooperative matching device, optimization method and system |
| CN114412816A (en) * | 2021-12-20 | 2022-04-29 | 盐城聚德机械零部件有限公司 | Noise reduction method for engine cooling fan |
| CN114412815A (en) * | 2021-12-20 | 2022-04-29 | 盐城聚德机械零部件有限公司 | Structural design method of axial flow cooling fan for vehicle |
| CN114741867A (en) * | 2022-04-06 | 2022-07-12 | 东软睿驰汽车技术（沈阳）有限公司 | Fan configuration method of domain controller of vehicle and related device |
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