CN109829221A - A kind of simulative optimization method, computer readable storage medium, the computer equipment of automobile high efficiency rotary drive motor - Google Patents
A kind of simulative optimization method, computer readable storage medium, the computer equipment of automobile high efficiency rotary drive motor Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000005457 optimization Methods 0.000 title claims abstract description 26
- 229910052802 copper Inorganic materials 0.000 claims abstract description 51
- 239000010949 copper Substances 0.000 claims abstract description 51
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 claims abstract description 38
- 238000012360 testing method Methods 0.000 claims abstract description 19
- 239000000284 extract Substances 0.000 claims abstract description 7
- 238000013459 approach Methods 0.000 claims abstract description 5
- XEEYBQQBJWHFJM-UHFFFAOYSA-N iron Substances [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims description 30
- 238000004804 winding Methods 0.000 claims description 29
- 229910052742 iron Inorganic materials 0.000 claims description 15
- 230000004907 flux Effects 0.000 claims description 10
- 238000004590 computer program Methods 0.000 claims description 8
- 230000004323 axial length Effects 0.000 claims description 6
- 229910000976 Electrical steel Inorganic materials 0.000 claims description 4
- 230000005611 electricity Effects 0.000 claims description 4
- 239000000463 material Substances 0.000 claims description 4
- 229910000831 Steel Inorganic materials 0.000 claims description 3
- JEIPFZHSYJVQDO-UHFFFAOYSA-N ferric oxide Chemical compound O=[Fe]O[Fe]=O JEIPFZHSYJVQDO-UHFFFAOYSA-N 0.000 claims description 3
- 230000006698 induction Effects 0.000 claims description 3
- 238000004088 simulation Methods 0.000 claims description 3
- 239000010959 steel Substances 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 claims 1
- 239000011800 void material Substances 0.000 claims 1
- 230000006870 function Effects 0.000 description 4
- 238000012545 processing Methods 0.000 description 3
- 238000013461 design Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 230000007812 deficiency Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000010349 pulsation Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000000153 supplemental effect Effects 0.000 description 1
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Abstract
The present invention relates to simulative optimization method, computer readable storage medium, the computer equipments of a kind of automobile high efficiency rotary drive motor, this method comprises: providing virtual rotating electric machine；Load test and no-load test are carried out to virtual rotating electric machine respectively, and obtain copper loss data and core loss value；Whether the copper loss data for judging virtual rotating electric machine and the core loss value of virtual rotating electric machine approach；It is rotated under default load if so, simulating virtual rotating electric machine；Extract torque data of the virtual rotating electric machine under default load；Judge whether torque data of the virtual rotating electric machine under default load meets the requirements, if so, saving virtual rotating electric machine.The present invention searches motor peak efficiency by the angle of the loss of electric machine, and using the corresponding parameter of electric machine of simulation software assessment maximum efficiency, for producing in enormous quantities.
Description
Technical field
The present invention relates to rotating electric machine design field more particularly to a kind of automobile high efficiency rotary drive motors
Simulative optimization method, computer readable storage medium, computer equipment.
Background technique
The efficiency of motor is always the content that industrial circle is paid attention to, and exploitation high efficiency motor becomes the demand of industry, developing
In the stage, improving efficiency as important evaluation criteria is indispensable a part.
Under the premise of size is fixed, obtains the peak efficiency of motor and run in rated point, mass energy can be saved.
However, the conventional motors design only efficiency under motor from the viewpoint of input and output, passes through input work
Rate and output power ratio determine efficiency, and the efficiency obtained in this way is not optimized.
Therefore it provides a kind of simulative optimization method of automobile high efficiency rotary drive motor, computer-readable storage medium
Matter, computer equipment.
Summary of the invention
In view of the above problems, it proposes on the present invention overcomes the above problem or at least be partially solved in order to provide one kind
Simulative optimization method, computer readable storage medium, the computer equipment of the automobile high efficiency rotary drive motor of problem are stated,
It solves using inputoutput data the deficiency for determining efficiency, proposes that new loss determines method, realize that electric efficiency is efficient
The accurate evaluation of point.
According to an aspect of the present invention, a kind of simulative optimization method of automobile high efficiency rotary drive motor is provided,
Include:
Virtual rotating electric machine is provided；
Load test and no-load test are carried out to virtual rotating electric machine respectively, and obtain copper loss data and core loss value；
Whether the copper loss data for judging virtual rotating electric machine and the core loss value of virtual rotating electric machine approach；
It is rotated under default load if so, simulating virtual rotating electric machine；
Extract torque data of the virtual rotating electric machine under default load；
Judge whether torque data of the virtual rotating electric machine under default load meets the requirements, if so, saving virtual rotation
Rotating motor.
Further, the simulative optimization method of automobile high efficiency rotary drive motor, further includes:
Virtual rotating electric machine is constructed based on practical rotating electric machine parameter；
The machine winding parameter in practical rotating electric machine parameter is adjusted, multiple exchanges are loaded to virtual rotating electric machine and drive electricity
Pressure carries out load test, and calculates its multiple copper loss data under the driving of each AC drive voltage, further according to multiple copper loss numbers
According to drafting voltage-copper loss curve；
Machine winding parameter, motor stator core parameter and the rotor core parameter in practical rotating electric machine parameter are adjusted,
Multiple AC drive voltages are loaded to virtual rotating electric machine and carry out no-load test, and calculate it under the driving of each AC drive voltage
Multiple core loss values, further according to multiple core loss values draw voltage-copper loss curve；
According to the adjustment back spin of voltage-copper loss curve and voltage-iron loss curve acquisition copper loss data and core loss value when close
Rotating motor parameter；
It is rotated under default load according to the virtual rotating electric machine of rotating electric machine parameter simulation after adjustment；
Judge whether torque data of the virtual rotating electric machine under default load meets and reaches torque data threshold value, if so,
Then save rotating electric machine parameter after adjusting.
Further, the copper loss data of the virtual rotating electric machine under multiple AC drive voltages are calculated by the following formula:
Pcu=nI2R
Wherein, PcuFor copper loss data, I is phase current, and R is phase resistance, and n is the number of phases.
Further, it is calculated by the following formula the core loss value of the virtual rotating electric machine under multiple AC drive voltages:
PFe=PFei+PFej
Wherein, PFeFor core loss value, PFeiFor motor teeth portion core loss value, PFejFor motor yoke core loss value,
PFei=Kd*Phei*Gi
PFej=Kd*Phej*Gj
Wherein, PFeiFor motor teeth portion core loss value, PFejFor motor yoke core loss value, pi Fe/50It is in frequency for motor teeth portion
Core loss value when 50Hz, pj Fe/50The core loss value for being motor yoke when frequency is 50Hz, BiFor motor teeth portion flux density peak value, BjFor
Motor yoke flux density peak value, f frequency, KdFor motor iron loss factor, GiFor motor teeth portion weight, GjFor motor yoke weight.
Further, the machine winding parameter in practical rotating electric machine parameter include winding wire diameter, umber of turn, winding simultaneously
Around radical, winding parallel circuitry number, winding overhang length parameter.
Further, motor stator core parameter and rotor core parameter include motor stator core axial length and motor
Rotor core axial length.
Further, the machine winding parameter in practical rotating electric machine parameter, motor stator core parameter are being adjusted and is being turned
Sub- iron core parameter, in the core loss value for calculating the virtual rotating electric machine under multiple AC drive voltages, when motor is magneto,
Also adjust pole embrace, magnet thickness, magnet steel area and the silicon steel material parameter of permanent magnet.
Further, the machine winding parameter in practical rotating electric machine parameter, motor stator core parameter are being adjusted and is being turned
Sub- iron core parameter, in the core loss value for calculating the virtual rotating electric machine under multiple AC drive voltages, when motor is cage-type induction
When machine, the overall dimension parameter of rotor slot is also adjusted.
According to another aspect of the present invention, a kind of computer readable storage medium is provided, computer program is stored thereon with,
It realizes when the program is executed by processor such as the step of the above method.
According to another aspect of the invention, a kind of computer equipment is provided, including memory, processor and is stored in storage
On device and the computer program that can run on a processor, the processor realize the step such as the above method when executing described program
Suddenly.
The present invention has the advantage that compared with prior art
The simulative optimization method of automobile high efficiency rotary drive motor of the invention, computer readable storage medium, meter
It calculates machine equipment and searches motor peak efficiency by the angle of the loss of electric machine, and is corresponding using simulation software assessment maximum efficiency
The parameter of electric machine, with for producing in enormous quantities.
Detailed description of the invention
Below in conjunction with drawings and examples, the invention will be further described.
Fig. 1 is the simulative optimization method and step figure of automobile high efficiency rotary drive motor of the invention；
Fig. 2 is voltage of the invention-copper loss curve, voltage-iron loss curve and total losses curve synoptic diagram；
Fig. 3 is the simulative optimization method applicating flow chart of automobile high efficiency rotary drive motor of the invention；
Fig. 4 is computer equipment structure chart of the invention.
Specific embodiment
Exemplary embodiments of the present disclosure are described in more detail below with reference to accompanying drawings.Although showing the disclosure in attached drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here
It is limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure
It is fully disclosed to those skilled in the art.
Those skilled in the art of the present technique are appreciated that unless expressly stated, singular " one " used herein, " one
It is a ", " described " and "the" may also comprise plural form.It is to be further understood that being arranged used in specification of the invention
Diction " comprising " refer to that there are the feature, integer, step, operation, element and/or component, but it is not excluded that in the presence of or addition
Other one or more features, integer, step, operation, element, component and/or their group.
Those skilled in the art of the present technique are appreciated that unless otherwise defined, all terms used herein (including technology art
Language and scientific term), there is meaning identical with the general understanding of those of ordinary skill in fields of the present invention.Should also
Understand, those terms such as defined in the general dictionary, it should be understood that have in the context of the prior art
The consistent meaning of meaning, and unless otherwise will not be explained in an idealized or overly formal meaning by specific definitions.
Fig. 1 is the simulative optimization method and step figure of automobile high efficiency rotary drive motor of the invention, referring to Fig. 1, originally
The simulative optimization method of the automobile high efficiency rotary drive motor provided is provided, comprising:
S110 provides virtual rotating electric machine；
S120 carries out load test and no-load test to virtual rotating electric machine respectively, and obtains copper loss data and core loss value；
Whether S130, the copper loss data for judging virtual rotating electric machine and the core loss value of virtual rotating electric machine approach；
S140 is rotated under default load if so, simulating virtual rotating electric machine；
S150 extracts torque data of the virtual rotating electric machine under default load；
S160, judges whether torque data of the virtual rotating electric machine under default load meets the requirements, if so, saving empty
Quasi- rotating electric machine.
The simulative optimization method of automobile high efficiency rotary drive motor of the invention, computer readable storage medium, meter
It calculates machine equipment and searches motor peak efficiency by the angle of the loss of electric machine, and is corresponding using simulation software assessment maximum efficiency
The parameter of electric machine, with for producing in enormous quantities.
Herein, it is calculated by the following formula motor torque:
T=9550*P/n
Wherein, T is motor torque, and unit Nm, P are power, and unit KW, n are revolving speed, unit r/min.
Further, the simulative optimization method of automobile high efficiency rotary drive motor, further includes:
Virtual rotating electric machine is constructed based on practical rotating electric machine parameter；
The machine winding parameter in practical rotating electric machine parameter is adjusted, multiple exchanges are loaded to virtual rotating electric machine and drive electricity
Pressure carries out load test, and calculates its multiple copper loss data under the driving of each AC drive voltage, further according to multiple copper loss numbers
According to drafting voltage-copper loss curve, wherein multiple exchanges when motor is threephase asynchronous machine, to the load of virtual rotating electric machine
Driving voltage can be 220V, 380V, 550V etc., also, to the machine winding parameter adjustment one in practical rotating electric machine parameter
It is secondary to obtain a voltage-copper loss curve, such as the curve 2 in Fig. 2；
Machine winding parameter, motor stator core parameter and the rotor core parameter in practical rotating electric machine parameter are adjusted,
Multiple AC drive voltages are loaded to virtual rotating electric machine and carry out no-load test, and calculate it under the driving of each AC drive voltage
Multiple core loss values, further according to multiple core loss values draw voltage-copper loss curve, wherein to the electricity in practical rotating electric machine parameter
Machine winding parameter, motor stator core parameter and the adjustment of rotor core parameter can once obtain a voltage-iron loss curve, such as scheme
Curve 3 in 2；
According to the adjustment back spin of voltage-copper loss curve and voltage-iron loss curve acquisition copper loss data and core loss value when close
Rotating motor parameter herein can be according to voltage-copper loss curve and voltage-iron loss Drawing of Curve total losses curve, in Fig. 2
Curve 1, corresponding copper loss curve point and iron loss curve point when copper loss data and close core loss value are found out in total losses curve,
To obtain rotating electric machine parameter after adjustment；
It is rotated under default load according to the virtual rotating electric machine of rotating electric machine parameter simulation after adjustment；
Judge whether torque data of the virtual rotating electric machine under default load meets and reaches torque data threshold value, if so,
Then save rotating electric machine parameter after adjusting.
Specifically, when constructing virtual rotating electric machine, joined according to electric machine rotor internal-and external diameter, axial length, gas length etc.
Number constructs virtual rotating electric machine, for example, can the rotating electric machine according to specified in machinery industry standard JB T 10391-2002 Y
Parameter constructs virtual rotating electric machine.
When adjusting the machine winding parameter in practical rotating electric machine parameter, adjustment machine winding parameter, specifically include around
Group line footpath, umber of turn, winding and around radical, winding parallel circuitry number, winding overhang length parameter.
When calculating the copper loss data of the virtual rotating electric machine under multiple AC drive voltages, there is following two mode:
The first, is calculated by the following formula the copper loss data of the virtual rotating electric machine under multiple AC drive voltages:
Pcu=nI2R
Wherein, PcuFor copper loss data, I is phase current, and R is phase resistance, and n is the number of phases.
It is second, automatic to calculate copper loss data and read.
Adjusting machine winding parameter, motor stator core parameter and rotor core parameter in practical rotating electric machine parameter
When, motor stator core parameter and rotor core parameter specifically include motor stator core axial length and motor rotor core axis
To length；When motor is magneto, pole embrace, magnet thickness, magnet steel area and the silicon steel sheet material of permanent magnet are also adjusted
Expect parameter；When motor is cage-type induction machine, the overall dimension parameter of rotor slot is also adjusted.
When calculating the core loss value of the virtual rotating electric machine under multiple AC drive voltages, there is following two mode:
The first, determines iron loss numerical value by obtaining stator core teeth portion flux density and yoke portion flux density peak value.Determine tooth, yoke
Iron loss factor-determines tooth, yoke consumption value --- determine iron loss, specific as follows:
It is calculated by the following formula the core loss value of the virtual rotating electric machine under multiple AC drive voltages:
PFe=PFei+PFej
Wherein, PFeFor core loss value, PFeiFor motor teeth portion core loss value, PFejFor motor yoke core loss value,
PFei=Kd*Phei*Gi
PFej=Kd*Phej*Gj
Wherein, PFeiFor motor teeth portion core loss value, PFejFor motor yoke core loss value, pi Fe/50It is in frequency for motor teeth portion
Core loss value when 50Hz, pj Fe/50The core loss value for being motor yoke when frequency is 50Hz, BiFor motor teeth portion flux density peak value, BjFor
Motor yoke flux density peak value, f frequency, KdFor motor iron loss factor, GiFor motor teeth portion weight, GjFor motor yoke weight.
Wherein, KdValue it is as shown in table 1.
Table 1
Second, core loss value is directly read, which includes the sum of teeth portion and yoke portion core loss value of stator core.
After adjustment when close according to voltage-copper loss curve and voltage-iron loss curve acquisition copper loss data and core loss value
When rotating electric machine parameter, there are two types of situations:
The first, copper loss data are equal with core loss value；
Second, since there are parameter limitation, to be unable to reach copper loss data equal with core loss value, take copper loss data and
The similar point substitution of core loss value.Wherein, the limiting factor of copper loss data include: motor stator copper factor, every line of rabbet joint diameter, the number of turns,
And around radical；The limiting factor of core loss value includes: revolving speed, motor stator teeth portion flux density, yoke portion flux density, silicon steel material.
Judge torque data of the virtual rotating electric machine under default load whether meet reach torque data threshold value when, turn
Square data specifically include torque, power factor, torque pulsation situation, depending on torque data threshold value is by rotating electric machine user demand.
The simulative optimization method of automobile high efficiency rotary drive motor of the invention further include: when virtual rotating electric machine
When the core loss value of copper loss data and virtual rotating electric machine is kept off, rotating electric machine parameter is adjusted.
The simulative optimization method of automobile high efficiency rotary drive motor of the invention further include: when virtual rotating electric machine exists
When torque data under default load is undesirable, rotating electric machine parameter is adjusted.
Fig. 3 is the simulative optimization method applicating flow chart of automobile high efficiency rotary drive motor of the invention, referring to figure
3, electric machine structure supplemental characteristic is inputted, virtual motor is constructed；The machine winding parameter in electric machine structure parameter is adjusted, is adjusted with obtaining
Virtual motor after whole；Load test is carried out according to virtual motor adjusted, obtains copper wastage data；Adjust electric machine structure
Motor iron loss parameter in parameter, to obtain secondary virtual motor adjusted；It is carried out according to secondary virtual motor adjusted
No-load test obtains motor core loss value；Judge whether copper wastage data are equal or close with motor core loss value；If equal or phase
Closely, then load test is carried out according to secondary virtual motor adjusted, obtains torque data；Judge whether torque data is up to standard；
If so, saving secondary virtual motor adjusted, and high-volume life is carried out according to the parameter of secondary virtual motor adjusted
It produces.
The present invention also provides a kind of computer readable storage mediums, are stored thereon with computer program, and the program is processed
It realizes when device executes such as the step of the above method.
Fig. 4 is computer equipment structure chart of the invention, referring to fig. 4, computer equipment provided by the invention, including storage
Device 401, processor 402 and it is stored in the computer program that can be run on memory 401 and on the processor 402, the processing
Device 402 realizes the step in above-mentioned each IPR licensing embodiment of the method based on Internet of Things when executing the computer program
Suddenly, such as S110 shown in FIG. 1, virtual rotating electric machine is provided；S120 simulates virtual rotating electric machine and carries out load test；S130,
Extract the copper loss data of virtual rotating electric machine；S140 simulates virtual rotating electric machine and carries out no-load test；S150 extracts virtual rotation
The core loss value of rotating motor；Whether S160, the copper loss data for judging virtual rotating electric machine and the core loss value of virtual rotating electric machine approach；
S170 is rotated under default load if so, simulating virtual rotating electric machine；S180 extracts virtual rotating electric machine default
Torque data under load；S190, judges whether torque data of the virtual rotating electric machine under default load meets the requirements, if
It is then to save virtual rotating electric machine.
The computer equipment can be the calculating such as desktop PC, notebook, palm PC and cloud server and set
It is standby.The computer equipment may include, but be not limited only to, processor, memory.It will be understood by those skilled in the art that described
Schematic diagram 4 be only computer equipment example, do not constitute the restriction to computer equipment, may include than illustrate it is more or
Less component perhaps combines certain components or different components, such as the computer equipment can also include that input is defeated
Equipment, network access equipment, bus etc. out.
The processor can be central processing unit (Central Processing Unit, CPU), can also be it
His general processor, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processor
Deng the processor is the control centre of the computer equipment, utilizes various interfaces and the entire computer equipment of connection
Various pieces.
The memory can be used for storing the computer program, and the processor is stored in described by operation or execution
Computer program in memory, and the data being stored in memory are called, realize the various function of the computer equipment
Energy.The memory can mainly include storing program area and storage data area, wherein storing program area can storage program area,
Application program needed at least one function (such as sound-playing function, image player function etc.) etc.；Storage data area can deposit
Storage uses created data (such as audio data, phone directory etc.) etc. according to mobile phone.In addition, memory may include high speed
Random access memory can also include nonvolatile memory, such as hard disk, memory, plug-in type hard disk, intelligent memory card
(Smart Media Card, SMC), secure digital (Secure Digital, SD) card, flash card (Flash Card), at least
One disk memory, flush memory device or other volatile solid-state parts.
It will be appreciated by those of skill in the art that although some embodiments in this include included in other embodiments
Certain features rather than other feature, but the combination of the feature of different embodiments means to be within the scope of the present invention simultaneously
And form different embodiments.For example, in the following claims, the one of any of embodiment claimed all may be used
Come in a manner of in any combination using.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features；
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (10)
1. a kind of simulative optimization method of automobile high efficiency rotary drive motor characterized by comprising
Virtual rotating electric machine is provided；
Load test and no-load test are carried out to virtual rotating electric machine respectively, and obtain copper loss data and core loss value；
Whether the copper loss data for judging virtual rotating electric machine and the core loss value of virtual rotating electric machine approach；
It is rotated under default load if so, simulating virtual rotating electric machine；
Extract torque data of the virtual rotating electric machine under default load；
Judge whether torque data of the virtual rotating electric machine under default load meets the requirements, if so, saving virtual electric rotating
Machine.
2. the simulative optimization method of automobile high efficiency rotary drive motor according to claim 1, which is characterized in that also
Include:
Virtual rotating electric machine is constructed based on practical rotating electric machine parameter；
Adjust the machine winding parameter in practical rotating electric machine parameter, to the multiple AC drive voltages of virtual rotating electric machine load into
Row load test, and its multiple copper loss data under the driving of each AC drive voltage is calculated, it is drawn further according to multiple copper loss data
Voltage processed-copper loss curve；
Machine winding parameter, motor stator core parameter and the rotor core parameter in practical rotating electric machine parameter are adjusted, to void
Quasi- rotating electric machine loads multiple AC drive voltages and carries out no-load test, and it is more under the driving of each AC drive voltage to calculate it
A core loss value draws voltage-copper loss curve further according to multiple core loss values；
According to electric rotating after the adjustment of voltage-copper loss curve and voltage-iron loss curve acquisition copper loss data and core loss value when close
Machine parameter；
It is rotated under default load according to the virtual rotating electric machine of rotating electric machine parameter simulation after adjustment；
Judge whether torque data of the virtual rotating electric machine under default load meets and reach torque data threshold value, if so, protecting
Deposit rotating electric machine parameter after adjusting.
3. the simulative optimization method of automobile high efficiency rotary drive motor according to claim 2, which is characterized in that logical
Cross the copper loss data for the virtual rotating electric machine that following formula calculates under multiple AC drive voltages:
Pcu=nI2R
Wherein, PcuFor copper loss data, I is phase current, and R is phase resistance, and n is the number of phases.
4. the simulative optimization method of automobile high efficiency rotary drive motor according to claim 3, which is characterized in that logical
Cross the core loss value for the virtual rotating electric machine that following formula calculates under multiple AC drive voltages:
PFe=PFei+PFej
Wherein, PFeFor core loss value, PFeiFor motor teeth portion core loss value, PFejFor motor yoke core loss value,
PFei=Kd*Phei*Gi
PFej=Kd*Phej*Gj
Wherein, PFeiFor motor teeth portion core loss value, PFejFor motor yoke core loss value, pi Fe/50It in frequency is 50Hz for motor teeth portion
When core loss value, pj Fe/50The core loss value for being motor yoke when frequency is 50Hz, BiFor motor teeth portion flux density peak value, BjFor motor
Yoke portion flux density peak value, f frequency, KdFor motor iron loss factor, GiFor motor teeth portion weight, GjFor motor yoke weight.
5. the simulative optimization method of automobile high efficiency rotary drive motor according to claim 4, which is characterized in that real
Machine winding parameter in the rotating electric machine parameter of border includes winding wire diameter, umber of turn, winding and around radical, winding parallel branch
Number, winding overhang length parameter.
6. the simulative optimization method of automobile high efficiency rotary drive motor according to claim 5, which is characterized in that electricity
Machine stator iron core parameter and rotor core parameter include motor stator core axial length and motor rotor core axial length.
7. the simulative optimization method of automobile high efficiency rotary drive motor according to claim 6, which is characterized in that
Machine winding parameter, motor stator core parameter and the rotor core parameter in practical rotating electric machine parameter are adjusted, is calculated multiple
In the core loss value of virtual rotating electric machine under AC drive voltage, when motor is magneto, the polar arc of permanent magnet is also adjusted
Coefficient, magnet thickness, magnet steel area and silicon steel material parameter.
8. the simulative optimization method of automobile high efficiency rotary drive motor according to claim 7, which is characterized in that
Machine winding parameter, motor stator core parameter and the rotor core parameter in practical rotating electric machine parameter are adjusted, is calculated multiple
In the core loss value of virtual rotating electric machine under AC drive voltage, when motor is cage-type induction machine, rotor slot is also adjusted
Overall dimension parameter.
9. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is held by processor
It is realized when row such as the step of any one of claim 1-8 the method.
10. a kind of computer equipment including memory, processor and stores the meter that can be run on a memory and on a processor
Calculation machine program, which is characterized in that the processor is realized when executing described program such as any one of claim 1-8 the method
Step.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110417199A (en) * | 2019-07-10 | 2019-11-05 | 贵州航天林泉电机有限公司 | A kind of resistance to shorting permanent magnet generator design method based on interval frequency |
| CN115356624A (en) * | 2022-08-15 | 2022-11-18 | 小米汽车科技有限公司 | Motor iron loss determination method and device, vehicle, storage medium and chip |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5659232A (en) * | 1994-09-26 | 1997-08-19 | Vogelsang & Benning Prozessdatentechnik Gmbh | Method of determining the efficiency of asynchronous motors and apparatus for carrying out the method |
| CN104319969A (en) * | 2014-11-19 | 2015-01-28 | 芜湖杰诺瑞汽车电器系统有限公司 | Optimization design method for high-efficiency synchronous motor of new energy automobile |
| CN107342667A (en) * | 2017-05-24 | 2017-11-10 | 江苏大学 | A kind of permagnetic synchronous motor high efficiency region adjusting method |
| CN109004873A (en) * | 2017-06-06 | 2018-12-14 | 保时捷股份公司 | Method and apparatus for running the synchronization machine with p-m rotor |
-
2019
- 2019-01-23 CN CN201910064826.7A patent/CN109829221A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5659232A (en) * | 1994-09-26 | 1997-08-19 | Vogelsang & Benning Prozessdatentechnik Gmbh | Method of determining the efficiency of asynchronous motors and apparatus for carrying out the method |
| CN104319969A (en) * | 2014-11-19 | 2015-01-28 | 芜湖杰诺瑞汽车电器系统有限公司 | Optimization design method for high-efficiency synchronous motor of new energy automobile |
| CN107342667A (en) * | 2017-05-24 | 2017-11-10 | 江苏大学 | A kind of permagnetic synchronous motor high efficiency region adjusting method |
| CN109004873A (en) * | 2017-06-06 | 2018-12-14 | 保时捷股份公司 | Method and apparatus for running the synchronization machine with p-m rotor |
Non-Patent Citations (6)
| Title |
|---|
| 刘兴中等: "内置式永磁同步电机效率优化控制策略", 《电机与控制应用》 * |
| 吴钦木等: "永磁同步电机驱动系统效率优化控制参数变化影响研究", 《电机与控制应用》 * |
| 张帅等: "高效三相异步电动机性能测试与数据分析", 《微特电机》 * |
| 束亚刚等: "基于损耗模型的定子双馈电双凸极电机在线效率优化实验研究", 《微电机》 * |
| 莫红苹等: "基于铜损等于铁损的异步电动机最佳效率控制", 《西安理工大学学报》 * |
| 黄苏融等: "考虑空载损耗的IPMSM半实物实时仿真测试", 《电机与控制应用》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110417199A (en) * | 2019-07-10 | 2019-11-05 | 贵州航天林泉电机有限公司 | A kind of resistance to shorting permanent magnet generator design method based on interval frequency |
| CN110417199B (en) * | 2019-07-10 | 2021-01-26 | 贵州航天林泉电机有限公司 | Anti-short-circuit permanent magnet generator design method based on interval frequency |
| CN115356624A (en) * | 2022-08-15 | 2022-11-18 | 小米汽车科技有限公司 | Motor iron loss determination method and device, vehicle, storage medium and chip |
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