CN108736782A - Motor vector controlled reference current is allocated and the method for efficiency-optimization control - Google Patents

Motor vector controlled reference current is allocated and the method for efficiency-optimization control Download PDF

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Publication number
CN108736782A
CN108736782A CN201810561061.3A CN201810561061A CN108736782A CN 108736782 A CN108736782 A CN 108736782A CN 201810561061 A CN201810561061 A CN 201810561061A CN 108736782 A CN108736782 A CN 108736782A
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China
Prior art keywords
loss
current component
axis current
optimum point
top grade
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CN201810561061.3A
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Inventor
刘建林
刘平
罗德荣
雷伟民
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Hunan Mechanical and Electrical Polytechnic
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Hunan Mechanical and Electrical Polytechnic
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Priority to CN201810561061.3A priority Critical patent/CN108736782A/en
Publication of CN108736782A publication Critical patent/CN108736782A/en
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02PCONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
    • H02P21/00Arrangements or methods for the control of electric machines by vector control, e.g. by control of field orientation
    • H02P21/14Estimation or adaptation of machine parameters, e.g. flux, current or voltage

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Control Of Ac Motors In General (AREA)

Abstract

The invention discloses be allocated motor vector controlled reference current and the method for efficiency-optimization control, it is related to technical field of motors, it is very short to solve the steady state time that a certain operating mode is maintained due to motor, electric vehicle traction electric machine is very high to the rapidity requirement of efficiency optimization process, the a large amount of energy losses be easy to causeing in controlled volume searching process, the problem of best efficiency point of system is even not achieved in limited steady state time, its key points of the technical solution are that:Include the following steps:The loss of electric machine is analyzed and is assessed;Loss model controller is built, is analyzed according to the loss of electric machine and builds loss model controller with the result assessed;Time top grade direct-axis current component i is calculated based on loss model controllerd0With secondary top grade quadrature axis current component iq0;Optimum point is searched for based on Fibonacci method, has and quickly searches out system effectiveness optimum point in limited steady state time, improves the effect of motor utilization rate.

Description

Motor vector controlled reference current is allocated and the method for efficiency-optimization control
Technical field
The present invention relates to technical field of motors, more specifically, it relates to divide motor vector controlled reference current Match and the method for efficiency-optimization control.
Background technology
Core component and important power output source of the driving motor as power drive system, are the important sets of electric vehicle At part.On the one hand, the required motor output of electric vehicle and regenerative power are continuously improved, to meet different operating mode difference vehicles The demand of type;On the other hand, limited by electric vehicle inner space and cost, this just need driving motor to high-performance and Small size direction is developed.Wherein, permanent magnet synchronous motor has small, light-weight, efficient, speed-regulating range width, power density Numerous advantages such as height and dynamic response are fast become current research and application especially suitable for electric vehicle and its drive system Hot spot.
Existing electric vehicle operating condition is complicated, and motor temperature fluctuation is larger under limited radiating condition, excessively high Temperature is easily reduced the utilization rate of motor;In the prior art, motor heats up in order to prevent, general using observation motor stator in real time Winding temperature and electric efficiency optimal control two ways.
But since the steady state time that motor maintains a certain operating mode is very short, electric vehicle traction electric machine is to efficiency optimization The rapidity requirement of process is very high, a large amount of energy losses be easy to causeing in controlled volume searching process, or even in limited stable state The best efficiency point of system is not achieved in time, therefore, it is optimal how quickly to search out system effectiveness in limited steady state time Point is that we need urgently to solve the problems, such as at present.
Invention content
The object of the present invention is to provide being allocated to motor vector controlled reference current and the method for efficiency-optimization control, With system effectiveness optimum point is quickly searched out in limited steady state time, the effect of motor utilization rate is improved.
The present invention above-mentioned technical purpose technical scheme is that:To motor vector controlled with reference to electricity Stream is allocated and the method for efficiency-optimization control, includes the following steps:
1) is analyzed and is assessed to the loss of electric machine;
To in motor operation course loss and loss accounting carry out analysis and preresearch estimates, the loss includes copper Damage, iron loss, mechanical loss and stray loss;
2) builds loss model controller;
It is analyzed according to the loss of electric machine and builds loss model controller with the result assessed, the loss model controller includes motor D d-axis equivalent circuit and motor q quadrature axis equivalent circuits;
3) is based on loss model controller and calculates time top grade direct-axis current component id0With secondary top grade quadrature axis current component iq0
Under conditions of only considering copper olse and iron loss, time top grade direct-axis current point is calculated according to loss model controller Measure id0With secondary top grade quadrature axis current component iq0
Secondary top grade direct-axis current component id0For:Under conditions of only considering copper loss and iron loss, the sum of copper olse and iron loss Minimum d direct-axis currents;
Secondary top grade quadrature axis current component iq0For:Under conditions of only considering copper loss and iron loss, the sum of copper olse and iron loss Minimum q quadrature axis currents;
4) is based on Fibonacci method and searches for optimum point;
Under conditions of lossy considering, by Fibonacci method to secondary top grade direct-axis current component id0It is handed over secondary top grade Shaft current component iq0It searches further for, obtains optimum point direct-axis current component idsWith optimum point quadrature axis current component iqs
Optimum point direct-axis current component idsFor:Under conditions of considering that institute is lossy, the d d-axis of the sum of the lossy minimum of institute Electric current;
Optimum point quadrature axis current component iqsFor:Under conditions of considering that institute is lossy, the q quadrature axis of the sum of the lossy minimum of institute Electric current.
By using above-mentioned technical proposal, time top grade direct-axis current component i is first calculatedd0With secondary top grade quadrature axis current component iq0, then optimum point direct-axis current component i searched out based on Fibonacci methoddsWith optimum point quadrature axis current component iqs;Based on Huang During golden split plot design search optimum point, the search range of optimum point is reduced, convenient for quickly being sought in limited steady state time System effectiveness optimum point is found, the utilization rate of motor is improved.
The present invention is further arranged to:It is described that optimum point system on-line search side in order to control is searched for based on Fibonacci method Formula, including:
A. with secondary top grade direct-axis current component id0To input initial value;
B. with the minimum target of system input power;
C. on-line search system optimal point.
By using above-mentioned technical proposal, during carrying out optimal point search based on Fibonacci method, with secondary top grade Direct-axis current component id0It carries out continuing search for input initial value and with the minimum target of system input power, reduces and determine just Beginning region of search step and repetition judgement optimum point direction of search step, shorten the time of system effectiveness optimum point searching, make The search operation for obtaining system effectiveness optimum point is simpler.
The present invention is further arranged to:Setting terminates limit threshold epsilon1Not less than the 2% of rated current, optimum point is being calculated Direct-axis current component idsAfterwards, optimum point quadrature axis current component i is calculated according to compensated torqueqs
By using above-mentioned technical proposal, convenient for quickly calculating optimum point quadrature axis current component iqsValue, further carry The high speed of the optimal point search of system effectiveness.
In conclusion the invention has the advantages that:During searching for optimum point based on Fibonacci method, contracting The small search range of optimum point improves motor convenient for quickly searching out system effectiveness optimum point in limited steady state time Utilization rate;With secondary top grade direct-axis current component id0Continued for input initial value and with the minimum target of system input power Search reduces determining initial ranging section step and repeats judgement optimum point direction of search step, shortens system effectiveness most The time that advantage is found so that the search operation of system effectiveness optimum point is simpler;Convenient for quickly calculating optimum point quadrature axis Current component iqsValue, further improve the speed of the optimal point search of system effectiveness.
Description of the drawings
Fig. 1 is the flow diagram in embodiment;
Fig. 2 is the flow chart for searching for optimum point in embodiment based on Fibonacci method;
Fig. 3 is the circuit diagram of motor d d-axis equivalent circuits in embodiment;
Fig. 4 is the circuit diagram of motor q d-axis equivalent circuits in embodiment;
Fig. 5 is the logic diagram for searching for optimum point in embodiment based on Fibonacci method.
Specific implementation mode
Below in conjunction with attached drawing 1-5, invention is further described in detail.
Embodiment:Motor vector controlled reference current is allocated and the method for efficiency-optimization control, as shown in Figure 1, Include the following steps:
Step 1 is analyzed the loss of electric machine and is assessed.
To in motor operation course loss and loss accounting carry out analysis and preresearch estimates, the loss includes copper Damage, iron loss, mechanical loss and stray loss.
Step 2 builds loss model controller.
It is analyzed according to the loss of electric machine and builds loss model controller with the result assessed, the loss model controller includes motor D d-axis equivalent circuit and motor q quadrature axis equivalent circuits.
Step 3 calculates time top grade direct-axis current component i based on loss model controllerd0With secondary top grade quadrature axis current component iq0.Under conditions of only considering copper olse and iron loss, time top grade direct-axis current component i is calculated according to loss model controllerd0 With secondary top grade quadrature axis current component iq0.Secondary top grade direct-axis current component id0For:Under conditions of only considering copper loss and iron loss, electricity The d direct-axis currents of the sum of machine copper loss and iron loss minimum.Secondary top grade quadrature axis current component iq0For:In the item for only considering copper loss and iron loss Under part, the q quadrature axis currents of the sum of copper olse and iron loss minimum;
Step 4 searches for optimum point based on Fibonacci method.
Under conditions of lossy considering, by Fibonacci method to secondary top grade direct-axis current component id0It is handed over secondary top grade Shaft current component iq0It searches further for, obtains optimum point direct-axis current component idsWith optimum point quadrature axis current component iqs.It is optimal Point direct-axis current component idsFor:Under conditions of considering that institute is lossy, the d direct-axis currents of the sum of the lossy minimum of institute.Optimum point Quadrature axis current component iqsFor:Under conditions of considering that institute is lossy, the q quadrature axis currents of the sum of the lossy minimum of institute.
First calculate time top grade direct-axis current component id0With secondary top grade quadrature axis current component iq0, then it is based on Fibonacci method Search out optimum point direct-axis current component idsWith optimum point quadrature axis current component iqs;Optimum point is being searched for based on Fibonacci method During, the search range of optimum point is reduced, convenient for quickly searching out system effectiveness optimum point in limited steady state time, Improve the utilization rate of motor.
As shown in Figure 3 and Figure 4, when motor stable state, the calculation formula of d direct-axis voltages and electric current is:ud=Rsid-wLqiqt; When motor stable state, the calculation formula of q direct-axis voltages and electric current is:uq=Rsiq+wLdidt+wψf;Wherein, ud、uqFor stator voltage D, q components, id、iqFor stator current d, q component, RsFor equivalent copper loss resistance, RcFor equivalent core-loss resistance, idt、iqtFor air gap electricity D, q component are flowed, w is rotor angular speed, ψfFor rotor permanent magnet magnetic linkage, Ld、LqFor motor stator winding d, q axle inductance.
As shown in Fig. 2, optimum point system on-line search mode in order to control is searched for based on Fibonacci method, including:A. with secondary Top grade direct-axis current component id0To input initial value;B. with the minimum target of system input power;C. on-line search system optimal Point.During carrying out optimal point search based on Fibonacci method, with secondary top grade direct-axis current component id0To input initial value Lasting search is carried out with the minimum target of system input power, reduces determining initial ranging section step and repeats judgement most Advantage direction of search step shortens the time of system effectiveness optimum point searching so that the search operation of system effectiveness optimum point It is simpler.
As shown in figure 5, the specific implementation step for searching for optimum point in the present embodiment based on Fibonacci method is:
(1) sets △1=0.382id0, take id1=id0+△1And id2=id0-△1
(2) is by measuring cell voltage VbatWith cell output current ibat, obtain the corresponding system input work of three electric currents Rate PO、P1、P2, and judge its magnitude relationship.
(3) if P1> P0> P2, then i is takend3=id2-△1If (P2> P0> P1, then i is takend3=id2+△1), and measure P3。 If P3< P2(P3< P1), then enable id2=id3, P2=P3(id1=id3, P1=P3), continue to execute this step;Otherwise, i is enabledd0=id2 (id0=id1), execute step (4).
(4) if P1> P2> P0Or P2> P1> P0, then i is takend1=id0+△2, id2=id0-△2, wherein △2=0.382 △1.Judge | id1-id2|≤ε1It is whether true, if not, then enable △1=△2, return to step (2) continues to execute;If so, Then obtain optimum point direct-axis current component ids=(id1+id2)/2, search terminates.Wherein, ε1Threshold value is limited to terminate.
As shown in figure 5, setting terminates limit threshold epsilon1Not less than the 2% of rated current, optimum point direct-axis current is being calculated Component idsAfterwards, optimum point quadrature axis current component i is calculated according to compensated torqueqs.Convenient for quickly calculating optimum point quadrature axis current point Measure iqsValue, further improve the speed of the optimal point search of system effectiveness.
The course of work:First calculate time top grade direct-axis current component id0With secondary top grade quadrature axis current component iq0, then based on Huang Golden split plot design searches out optimum point direct-axis current component idsWith optimum point quadrature axis current component iqs;It is searched based on Fibonacci method During rope optimum point, the search range of optimum point is reduced, convenient for quickly searching out system effect in limited steady state time Rate optimum point improves the utilization rate of motor.
This specific embodiment is only explanation of the invention, is not limitation of the present invention, people in the art Member can as needed make the present embodiment the modification of not creative contribution after reading this specification, but as long as at this It is all protected by Patent Law in the right of invention.

Claims (3)

1. a pair motor vector controlled reference current is allocated and the method for efficiency-optimization control, it is characterized in that:Including following step Suddenly:
1) is analyzed and is assessed to the loss of electric machine;
To in motor operation course loss and loss accounting carry out analysis and preresearch estimates, the loss includes copper loss, iron Damage, mechanical loss and stray loss;
2) builds loss model controller;
It is analyzed according to the loss of electric machine and builds loss model controller with the result assessed, the loss model controller includes motor d straight Axis equivalent circuit and motor q quadrature axis equivalent circuits;
3) is based on loss model controller and calculates time top grade direct-axis current component id0With secondary top grade quadrature axis current component iq0
Under conditions of only considering copper olse and iron loss, time top grade direct-axis current component i is calculated according to loss model controllerd0 With secondary top grade quadrature axis current component iq0
Secondary top grade direct-axis current component id0For:Under conditions of only considering copper loss and iron loss, the sum of copper olse and iron loss are minimum D direct-axis currents;
Secondary top grade quadrature axis current component iq0For:Under conditions of only considering copper loss and iron loss, the sum of copper olse and iron loss are minimum Q quadrature axis currents;
4) is based on Fibonacci method and searches for optimum point;
Under conditions of lossy considering, by Fibonacci method to secondary top grade direct-axis current component id0With secondary top grade quadrature axis electricity Flow component iq0It searches further for, obtains optimum point direct-axis current component idsWith optimum point quadrature axis current component iqs
Optimum point direct-axis current component idsFor:Under conditions of considering that institute is lossy, the sum of the lossy minimum d d-axis of institute is electric Stream;
Optimum point quadrature axis current component iqsFor:Under conditions of considering that institute is lossy, the sum of the lossy minimum q quadrature axis of institute is electric Stream.
Motor vector controlled reference current is allocated and the method for efficiency-optimization control 2. according to claim 1, It is characterized in that:It is described that optimum point system on-line search mode in order to control is searched for based on Fibonacci method, including:
A. with secondary top grade direct-axis current component id0To input initial value;
B. with the minimum target of system input power;
C. on-line search system optimal point.
Motor vector controlled reference current is allocated and the method for efficiency-optimization control 3. according to claim 2, It is characterized in that:Setting terminates limit threshold epsilon1Not less than the 2% of rated current, optimum point direct-axis current component i is being calculateddsAfterwards, Optimum point quadrature axis current component i is calculated according to compensated torqueqs
CN201810561061.3A 2018-06-04 2018-06-04 Motor vector controlled reference current is allocated and the method for efficiency-optimization control Pending CN108736782A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110707973A (en) * 2019-09-24 2020-01-17 稳力(广东)科技有限公司 Method and system for rapidly searching efficiency optimal point of permanent magnet synchronous motor
CN113014170A (en) * 2021-04-21 2021-06-22 昆明理工大学 Permanent magnet synchronous motor minimum loss control method based on whale optimization algorithm
WO2023023991A1 (en) * 2021-08-25 2023-03-02 宁德时代新能源科技股份有限公司 Control method, apparatus and system for electric motor, and electric vehicle

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110707973A (en) * 2019-09-24 2020-01-17 稳力(广东)科技有限公司 Method and system for rapidly searching efficiency optimal point of permanent magnet synchronous motor
CN113014170A (en) * 2021-04-21 2021-06-22 昆明理工大学 Permanent magnet synchronous motor minimum loss control method based on whale optimization algorithm
CN113014170B (en) * 2021-04-21 2022-08-12 昆明理工大学 Permanent magnet synchronous motor minimum loss control method based on whale optimization algorithm
WO2023023991A1 (en) * 2021-08-25 2023-03-02 宁德时代新能源科技股份有限公司 Control method, apparatus and system for electric motor, and electric vehicle
US11689143B2 (en) 2021-08-25 2023-06-27 Contemporary Amperex Technology Co., Limited Electric motor control method and device, system, and electric vehicle

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Application publication date: 20181102