Compressor winding resistance online estimation method and device, compressor control method

Abstract

The present invention discloses an online estimation method and device for compressor winding resistance, a compressor control method, a motor controller and an air conditioner. The online estimation method comprises: detecting the compressor exhaust temperature; determining the compressor winding temperature according to the compressor exhaust temperature; estimating the compressor winding resistance according to the compressor winding temperature. The online estimation method of the present invention can estimate the winding resistance in real time according to the compressor exhaust temperature, ensure the accuracy of obtaining the winding resistance during the operation of the compressor, and improve the control performance of the compressor.

Description

Technical Field

[0001] The present invention relates to the field of household appliances, and in particular to an online estimation method for compressor winding resistance, a compressor control method, a computer-readable storage medium, a motor controller, an air conditioner and an online estimation device for compressor winding resistance. Background Art

[0002] In the air conditioner, the compressor is the core component, and the quality of compressor control directly affects the performance of the entire air conditioner. The performance of compressor control is closely related to the accuracy of the compressor winding resistance. During the actual operation of the compressor, the compressor winding resistance will be affected by temperature, current loss, its own heat dissipation design, etc., making it difficult to obtain accurate winding resistance in real time.

[0003] In the related art, the method of obtaining the winding resistance is usually an offline method. This method cannot obtain the winding resistance in real time, resulting in a large gap between the winding resistance used in the actual operation process and the actual value. In addition, there are some online winding resistance estimation methods, the algorithms are relatively complex and difficult to implement. Summary of the invention

[0004] The present invention aims to solve at least one of the technical problems in the related art to a certain extent. To this end, the first object of the present invention is to propose an online estimation method for compressor winding resistance, which can determine the compressor winding temperature according to the exhaust temperature of the compressor, and estimate the winding resistance in real time according to the compressor winding temperature, so as to ensure the accuracy of obtaining the winding resistance during the operation of the compressor and improve the control performance of the compressor.

[0005] A second object of the present invention is to provide a compressor control method.

[0006] A third object of the present invention is to provide a computer-readable storage medium.

[0007] A fourth objective of the present invention is to provide a motor controller.

[0008] A fifth object of the present invention is to provide an air conditioner.

[0009] A sixth object of the present invention is to provide an online estimation device for compressor winding resistance.

[0010] To achieve the above objectives, the first aspect of the present invention proposes an online estimation method for compressor winding resistance, including: detecting the compressor exhaust temperature; determining the compressor winding temperature based on the compressor exhaust temperature; and estimating the compressor winding resistance based on the compressor winding temperature.

[0011] According to the compressor winding resistance online estimation method of the embodiment of the present invention, the compressor exhaust temperature is first detected, and the compressor winding temperature is determined according to the compressor exhaust temperature, and then the compressor winding resistance is estimated according to the compressor winding temperature. Therefore, the method can determine the compressor winding temperature according to the compressor exhaust temperature, and estimate the winding resistance in real time according to the compressor winding temperature, thereby ensuring the accuracy of obtaining the winding resistance during the operation of the compressor and improving the control performance of the compressor.

[0012] In addition, the compressor winding resistance online estimation method according to the above embodiment of the present invention may also have the following additional technical features:

[0013] According to one embodiment of the present invention, determining the compressor winding temperature according to the compressor exhaust temperature includes: determining the compressor type; determining a first compensation temperature according to the compressor type, and taking the sum of the first compensation temperature and the compressor exhaust temperature as the compressor winding temperature.

[0014] According to another embodiment of the present invention, determining the compressor winding temperature based on the compressor exhaust temperature includes: determining the compressor type, and obtaining the ambient temperature and the compressor operating frequency; determining a second compensation temperature based on the compressor type, the ambient temperature and the compressor operating frequency, and taking the sum of the second compensation temperature and the compressor exhaust temperature as the compressor winding temperature.

[0015] According to one embodiment of the present invention, estimating the compressor winding resistance according to the compressor winding temperature includes: obtaining a reference winding resistance at a compressor reference winding temperature; and estimating the compressor winding resistance according to the compressor reference winding temperature, the reference winding resistance and the compressor winding temperature.

[0016] According to one embodiment of the present invention, the compressor winding resistance is estimated according to the following formula: R=R0*(Tr+234.5) / (T0+234.5), wherein R is the compressor winding resistance, R0 is the reference winding resistance, Tr is the compressor winding temperature, and T0 is the compressor reference winding temperature.

[0017] According to another embodiment of the present invention, the compressor winding resistance is estimated according to the following formula: R=R0+K*(Tr-T0), wherein R is the compressor winding resistance, R0 is the reference winding resistance, Tr is the compressor winding temperature, T0 is the compressor reference winding temperature, and K is a preset fitting coefficient.

[0018] To achieve the above-mentioned purpose, the second aspect of the embodiment of the present invention proposes a compressor control method, including: executing the above-mentioned compressor winding resistance online estimation method to obtain the compressor winding resistance; observing the compressor magnetic flux based on the compressor winding resistance to obtain the compressor rotor angle and the compressor speed; controlling the compressor based on the compressor rotor angle and the compressor speed.

[0019] According to the compressor control method of the embodiment of the present invention, the compressor winding resistance is obtained by the above-mentioned compressor winding resistance online estimation method, and then the compressor magnetic flux is observed according to the compressor winding resistance to obtain the compressor rotor angle and the compressor speed, and finally the compressor is controlled according to the compressor rotor angle and the compressor speed. Therefore, the method controls the compressor by calculating the compressor winding resistance in real time, which can ensure the stable and efficient operation of the compressor and improve the response speed of the compressor.

[0020] To achieve the above-mentioned purpose, a third aspect of the present invention proposes a computer-readable storage medium on which a compressor winding resistance online estimation program is stored. When the compressor winding resistance online estimation program is executed by a processor, the above-mentioned compressor winding resistance online estimation method is implemented.

[0021] According to the computer-readable storage medium of an embodiment of the present invention, the above-mentioned online estimation method of the compressor winding resistance is implemented by executing the online estimation program of the compressor winding resistance stored thereon, which can ensure the accuracy of obtaining the winding resistance during the operation of the compressor and improve the control performance of the compressor.

[0022] To achieve the above-mentioned purpose, a motor controller proposed in an embodiment of the fourth aspect of the present invention includes a memory, a processor, and an online estimation program for compressor winding resistance stored in the memory and executable on the processor. When the processor executes the online estimation program for compressor winding resistance, the above-mentioned online estimation method for compressor winding resistance is implemented.

[0023] According to the motor controller of the embodiment of the present invention, when the processor executes the compressor winding resistance online estimation program, the above-mentioned compressor winding resistance online estimation method is implemented, which can ensure the accuracy of obtaining the winding resistance during the operation of the compressor and improve the control performance of the compressor.

[0024] To achieve the above-mentioned purpose, an air conditioner proposed in an embodiment of the fifth aspect of the present invention includes a memory, a processor, and an online estimation program for compressor winding resistance stored in the memory and executable on the processor. When the processor executes the online estimation program for compressor winding resistance, the above-mentioned online estimation method for compressor winding resistance is implemented.

[0025] According to the air conditioner of the embodiment of the present invention, when the processor executes the compressor winding resistance online estimation program, the above-mentioned compressor winding resistance online estimation method is implemented, which can ensure the accuracy of obtaining the winding resistance during the operation of the compressor and improve the control performance of the compressor.

[0026] To achieve the above-mentioned purpose, the sixth aspect of the present invention proposes an online estimation device for compressor winding resistance, comprising: a temperature detection module for detecting the compressor exhaust temperature; a determination module for determining the compressor winding temperature based on the compressor exhaust temperature; and an estimation module for estimating the compressor winding resistance based on the compressor winding temperature.

[0027] According to the compressor winding resistance online estimation device of the embodiment of the present invention, the compressor exhaust temperature is detected by the temperature detection module, and then the compressor winding temperature is determined according to the compressor exhaust temperature by the determination module, and finally the compressor winding resistance is estimated according to the compressor winding temperature by the estimation module. The device controls the compressor by calculating the compressor winding resistance in real time, thereby ensuring the stable and efficient operation of the compressor and improving the response speed of the compressor.

[0028] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 is a flow chart of a method for online estimating compressor winding resistance according to an embodiment of the present invention;

[0030] Figure 2 FIG. 4 is a flowchart of a compressor control method according to an embodiment of the present invention.

[0031] Figure 3 is a schematic diagram of a control circuit of a compressor according to an embodiment of the present invention;

[0032] Figure 4 is a control block diagram of a compressor according to an embodiment of the present invention;

[0033] Figure 5 4 is a block diagram of a compressor winding resistance online estimation device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0034] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0035] The following describes, with reference to the accompanying drawings, a compressor winding resistance online estimation method, a compressor control method, a computer-readable storage medium, a motor controller, an air conditioner, and a compressor winding resistance online estimation device proposed in embodiments of the present invention.

[0036] In the following examples, Figure 1 Taking the compressor winding resistance online estimation method as an example, the paper describes the online estimation method of compressor winding resistance in detail.

[0037] Figure 1 The figure is a flow chart of a method for online estimating compressor winding resistance according to an embodiment of the present invention.

[0038] refer to Figure 1 As shown, the compressor winding resistance online estimation method may include the following steps.

[0039] S1, detect the compressor exhaust temperature.

[0040] Specifically, taking the compressor used in the air conditioner as an example, during the operation of the air conditioner, the compressor windings rely on the flowing refrigerant to dissipate heat. The compressor windings generate heat during operation, causing their temperature to rise. The circulating refrigerant performs heat exchange, takes away the temperature generated by the compressor, and dissipates heat from the compressor windings. The temperature sensor set at the compressor exhaust port detects the temperature of the refrigerant flowing out of the compressor, and the refrigerant temperature obtained is the compressor exhaust temperature.

[0041] S2, obtaining the compressor winding temperature according to the compressor exhaust temperature.

[0042] It can be understood that since the compressor exhaust temperature measured in the above method is the refrigerant temperature after heat exchange, it is not equal to the compressor winding temperature. According to the principle of heat exchange, the actual compressor winding temperature is still higher than the compressor exhaust temperature, and there is a temperature difference between the compressor winding temperature and the compressor exhaust temperature.

[0043] According to one embodiment of the present invention, the operation of obtaining the compressor winding temperature according to the compressor exhaust temperature includes: determining the compressor type; obtaining the corresponding first compensation temperature according to the compressor type, and further obtaining the compressor winding temperature, which is the sum of the first compensation temperature and the compressor exhaust temperature. The compensation temperature corresponding to the compressor type is pre-stored, and generally, the compensation temperature corresponding to different compressors is between 10°C and 50°C.

[0044] Specifically, for the working condition where the accuracy of the compressor winding resistance is not high, the compensation temperature can be directly determined according to the type of the applied compressor, for example, the pre-stored compressor-compensation temperature table is called to obtain the compensation temperature corresponding to the type of compressor, that is, the first compensation temperature. Then the compressor winding temperature is estimated using the following formula: Tr = Tp + ΔT1, where Tr represents the compressor winding temperature, Tp represents the compressor exhaust temperature, and ΔT1 is the first compensation temperature.

[0045] For the working condition where the compressor winding resistance is obtained with high accuracy, the three factors of compressor type, current ambient temperature and compressor operating frequency can also be considered in combination. According to one embodiment of the present invention, the operation of obtaining the compressor winding temperature according to the compressor exhaust temperature includes: determining the type of compressor currently used, and obtaining the current ambient temperature and the compressor operating frequency; obtaining the second compensation temperature according to the three factors of compressor type, ambient temperature and compressor operating frequency, and the compressor winding temperature is the sum of the second compensation temperature and the compressor exhaust temperature.

[0046] For example, by testing the compressor winding temperature and the compressor exhaust temperature of two different types of compressors under different working conditions and operating frequencies, the relationship between the compressor winding temperature and the compressor exhaust temperature is determined, and ΔT2 (the second compensation temperature) is determined. The test results are shown in Table 1.

[0047] Table 1

[0048]

[0049] It can be seen from Table 1 that the temperature difference between the compressor exhaust temperature and the compressor winding temperature is not only related to the compressor type, but also to the current ambient temperature and the compressor operating frequency. The above method of directly calling ΔT1 (first compensation temperature) by the compressor type can be applied to application scenarios with low accuracy requirements, and when the system requires higher accuracy, the ambient temperature and the compressor operating frequency can also be taken into account. When determining the compressor type, the current ambient temperature and the compressor operating frequency, calling Table 1 can obtain the corresponding compensation temperature ΔT (second compensation temperature). For example, when the compressor type is the first type, the current ambient temperature is 39°C, and the compressor operating frequency is 55HZ, the compensation temperature obtained is 29°C. At this time, according to the compressor exhaust temperature (83°C) and the compensation temperature (29°C), the compressor winding temperature can be obtained as 83°C+29°C=112°C.

[0050] It should be noted that Table 1 only shows the correspondence between part of the ambient temperature, operating frequency and compensation temperature, not all of the correspondence. In actual testing, the corresponding compensation temperature can be obtained according to the same compressor type, the same ambient temperature and different operating frequencies, or the corresponding compensation relationship can be obtained according to the same compressor type, different current ambient temperatures and the same operating frequency, that is, the three parameters (compressor type, ambient temperature, operating frequency) are obtained by using a method in which two parameters are fixed and one parameter is variable, or a method in which one parameter is fixed and two parameters are variable.

[0051] In addition to the one-to-one correspondence between the above-mentioned compressor type, ambient temperature and compressor operating frequency, ΔT2 (the second compensation temperature) can also be set by a combination of interval value and fixed value. For example, taking the compressor type as a fixed type, the compensation temperature is set by using the ambient temperature as an interval value and the compressor operating frequency as a fixed value. For example, when the ambient temperature interval is [A, B] and the operating frequency is P1, the corresponding temperature compensation is ΔT′. The compensation temperature is set by using the ambient temperature as a fixed value and the compressor operating frequency as an interval value. For example, when the ambient temperature is C and the operating frequency is [P3, P4], the corresponding temperature compensation is ΔT″. The compensation temperature is set by using both the ambient temperature and the compressor operating frequency in an interval manner. For example, when the ambient temperature is [D, F] and the operating frequency is [P5, P6], the corresponding temperature compensation is ΔT‵.

[0052] S3, estimating and obtaining the compressor winding resistance according to the compressor winding temperature.

[0053] According to one embodiment of the present invention, the operation of obtaining the compressor winding resistance according to the compressor winding temperature estimation includes: obtaining the compressor reference winding resistance at the compressor reference winding temperature; and obtaining the compressor winding resistance according to the compressor reference winding temperature, the reference winding resistance and the compressor winding temperature estimation. Specifically, the compressor reference winding temperature T0 can be determined according to actual conditions. For example, 25°C is used as the above-mentioned compressor reference winding temperature. At this reference temperature, the corresponding R0 (compressor reference winding resistance) can be obtained through experimental testing. Assuming that the compressor winding uses copper wire, the compressor winding resistance R can be estimated based on the relationship between the resistivity and temperature of copper, as well as Tr (compressor winding temperature), T0 (compressor reference winding temperature) and R0 (reference winding resistance). For example, R can be calculated by the formula: R = R0*(Tr+234.5) / (T0+234.5). In addition, within a certain temperature range, the compressor winding resistance shows a linear change trend with the change of ambient temperature, and a simple linearization process can be used to estimate the winding resistance. For example, the compressor winding resistance R can be estimated by the formula R=R0+K*(Tr-T0), where K is a preset fitting coefficient that can be determined based on experiments.

[0054] In summary, the online estimation method of the compressor winding resistance detects the compressor exhaust temperature and determines the temperature compensation between the compressor exhaust temperature and the compressor winding temperature according to the type of compressor used, the current ambient temperature and the compressor operating frequency, thereby obtaining the compressor winding temperature, and further estimates the compressor winding resistance by coordinating the set reference winding resistance, the compressor reference winding temperature and the compressor winding temperature, thereby realizing real-time calculation of the winding resistance, ensuring the accurate characterization of the winding resistance during the operation of the compressor, and facilitating improving the control performance of the compressor.

[0055] In summary, according to the compressor winding resistance online estimation method of the embodiment of the present invention, the compressor exhaust temperature is first detected, and the compressor winding temperature is obtained according to the compressor exhaust temperature, and then the compressor winding resistance is obtained using the compressor winding temperature. This method can obtain the compressor winding temperature according to the compressor exhaust temperature, and estimate the winding resistance in real time according to the compressor winding temperature, thereby ensuring the accuracy of obtaining the winding resistance during the operation of the compressor and improving the control performance of the compressor.

[0056] Corresponding to the above embodiment, the present invention also proposes a compressor control method.

[0057] The compressor control method is applied to Figure 3 Taking the compressor control circuit shown in the figure as an example, the DC power of the DC bus is inverted through a three-phase bridge circuit to control the operation of the compressor. The control of the six switch tubes in the above three-phase bridge circuit is as follows: Figure 4As shown, the compressor motor control adopts double closed-loop control of speed outer loop and current inner loop.

[0058] The working principle of the speed outer loop is as follows: the variable frequency drive converts the compressor speed command and the actual operating speed of the compressor ω e Take the difference and get Δω e , and then perform PI control to obtain the compressor torque command T e * Among them, the compressor speed command The actual operating speed of the compressor is calculated by the air conditioning system based on the user's set temperature and the actual temperature. e The motor rotor position θ is obtained by the driver based on the motor voltage, current instructions and motor parameters through flux observation.

[0059] According to the motor torque command, the motor q-axis current command and d-axis current command are calculated by the MTPA (ideal sine wave) algorithm.

[0060] Working principle of the current inner loop: The frequency conversion drive collects the three-phase current i of the compressor motor u 、i v 、i w , which is converted into the two-phase current i in the stationary coordinate system α 、i β Then, according to the real-time operating angle of the compressor, the two-phase current i in the rotating coordinate system is obtained through the rotating coordinate transformation d 、i q . dq axis current command and actual current i d *、i q *After making the difference, perform PI control respectively and add the decoupling term -ω accordingly e L q i q ,ω e L d i d +ω e k e Then the initial voltage command u of the dq axis voltage is obtained d *、u q *.

[0061] The initial voltage command of the dq axis is limited (u d 、u q ) and coordinate transformation (u α 、u β ) and obtain the motor u, v, w three-phase voltage instructions.

[0062] The driver obtains the control signals of the six switching tubes of the three-phase bridge inverter circuit according to the three-phase voltage instructions of the motor u, v, and w, controls it to output the corresponding equivalent voltage to the compressor motor, and controls the operation of the compressor motor.

[0063] Figure 2 FIG. 4 is a flowchart of a compressor control method according to an embodiment of the present invention.

[0064] like Figure 2 As shown, the compressor control method of the embodiment of the present invention includes:

[0065] S4, executing the above compressor winding resistance online estimation method to estimate the compressor winding resistance.

[0066] The specific implementation method is the above-mentioned compressor winding resistance online estimation method, which has been described in detail above and will not be repeated here.

[0067] S5, observing the compressor flux according to the compressor winding resistance, and further obtaining the compressor rotor angle and the compressor speed.

[0068] Specifically, the winding resistance is mainly used in compressor control to observe the magnetic flux of the compressor, so as to obtain the compressor speed and the compressor rotor angle. The magnetic flux observation can be performed according to the following formula:

[0069]

[0070] Where R is the estimated compressor winding resistance, i α 、i β 、v α 、v β is the value of the voltage and current of the compressor detected by the above embodiment after coordinate transformation to the αβ coordinate system, L q is the q-axis inductance of the compressor, p is the differential operator, Ψ α ,Ψ β is the αβ axis magnetic flux that needs to be observed.

[0071] The αβ axis magnetic flux is estimated according to the above equation. After obtaining the magnetic flux, the compressor speed and the compressor rotor angle can be obtained accordingly. The compressor speed and the compressor rotor angle can be obtained by: obtaining the amplitude of the magnetic flux, and obtaining the voltage fundamental component on the stator AB and BC lines and converting it into the voltage in the αβ coordinate system, and then obtaining the stator ABC three-phase current fundamental component converted into the current in the αβ coordinate system, and obtaining the stator back electromotive force according to the voltage in the αβ coordinate system and the current in the αβ coordinate system. According to the stator back electromotive force and the rotor magnetic flux amplitude in the αβ coordinate system, the rotor angle and speed can be calculated. The specific calculation method can be found in the existing technical solution, which will not be repeated here.

[0072] S6, controlling the compressor according to the compressor speed and the compressor rotor angle.

[0073] Specifically, the rotor angle of the compressor is used for coordinate transformation, and the compressor speed is used for closed-loop control of the speed outer loop. Its accuracy is crucial in the control process. In the control process, the actual measured compressor speed and compressor rotor angle can be compared with the compressor speed and compressor rotor angle in the preset mathematical model, and the compressor can be regulated by using the existing differences to achieve the control operation of the compressor, so that the compressor can operate stably and efficiently and respond quickly.

[0074] In summary, the compressor control method of the embodiment of the present invention estimates the compressor winding resistance by executing the above-mentioned compressor winding resistance online estimation method, and then observes the compressor magnetic flux according to the compressor winding resistance, thereby obtaining the compressor speed and the compressor rotor angle, and finally controls the compressor according to the compressor speed and the compressor rotor angle. Therefore, the method controls the compressor by calculating the compressor winding resistance in real time, which can ensure the stable and efficient operation of the compressor and improve the response speed of the compressor.

[0075] Corresponding to the above embodiment, the present invention also proposes a computer-readable storage medium.

[0076] The computer-readable storage medium of the embodiment of the present invention stores a compressor winding resistance online estimation program, and the processor implements the above compressor winding resistance online estimation method when executing the compressor winding resistance online estimation program.

[0077] The computer-readable storage medium of an embodiment of the present invention implements an online estimation method for compressor winding resistance by executing an online estimation program for compressor winding resistance stored thereon, thereby ensuring the accuracy of obtaining the winding resistance during the operation of the compressor and improving the control performance of the compressor.

[0078] Corresponding to the above embodiment, the present invention also proposes a motor controller.

[0079] The motor controller of an embodiment of the present invention includes a memory, a processor, and an online compressor winding resistance estimation program stored in the memory and executable on the processor. When the processor executes the online compressor winding resistance estimation program, the above-mentioned online compressor winding resistance estimation method is implemented.

[0080] The motor controller of the embodiment of the present invention implements the above-mentioned compressor winding resistance online estimation method when the processor executes the compressor winding resistance online estimation program, which can ensure the accuracy of obtaining the winding resistance during the operation of the compressor and improve the control performance of the compressor.

[0081] Corresponding to the above embodiment, the present invention also proposes an air conditioner.

[0082] An air conditioner according to an embodiment of the present invention comprises a memory, a processor and an online compressor winding resistance estimation program stored in the memory and executable on the processor. When the processor executes the online compressor winding resistance estimation program, the above-mentioned online compressor winding resistance estimation method is implemented.

[0083] The air conditioner of the embodiment of the present invention implements the above-mentioned online estimation method for compressor winding resistance when the processor executes the online estimation program for compressor winding resistance, which can ensure the accuracy of obtaining the winding resistance during the operation of the compressor and improve the control performance of the compressor.

[0084] Corresponding to the above-mentioned embodiment, the present invention further proposes an online estimation device for compressor winding resistance.

[0085] Figure 5 4 is a block diagram of a device for online estimating resistance of a compressor winding according to an embodiment of the present invention.

[0086] like Figure 5 As shown, the compressor winding resistance online estimation device according to the embodiment of the present invention may include: a temperature detection module 10 , a determination module 20 and an estimation module 30 .

[0087] The temperature detection module 10 is used to detect and obtain the current compressor exhaust temperature. The determination module 20 is used to obtain the current compressor winding temperature according to the compressor exhaust temperature. The estimation module 30 is used to calculate the compressor winding resistance according to the compressor winding temperature.

[0088] According to one embodiment of the present invention, the determination module 20 obtains the compressor winding temperature based on the compressor exhaust temperature, and is specifically used to: determine the compressor type; obtain the corresponding first compensation temperature based on the compressor type, then the compressor winding temperature is the sum of the compressor exhaust temperature and the first compensation temperature.

[0089] According to another embodiment of the present invention, the determination module 20 determines the compressor winding temperature based on the compressor exhaust temperature, and is specifically used to: determine the type of compressor currently used, and further obtain the ambient temperature and the compressor operating frequency; obtain the corresponding second compensation temperature based on the compressor operating frequency, ambient temperature and compressor type, then the compressor winding temperature is the sum of the second compensation temperature of the compressor and exhaust temperature.

[0090] According to one embodiment of the present invention, the estimation module 30 calculates the compressor winding resistance based on the compressor winding temperature, and is specifically used to: obtain the reference winding resistance of the compressor at the compressor reference winding temperature; and calculate the compressor winding resistance based on the compressor reference winding temperature, the reference winding resistance and the compressor winding temperature.

[0091] According to one embodiment of the present invention, the estimation module 30 calculates the compressor winding resistance by the following formula: R=R0*(Tr+234.5) / (T0+234.5), wherein R represents the estimated compressor winding resistance, R0 represents the reference winding resistance of the compressor at the compressor reference winding temperature, Tr represents the calculated compressor winding temperature, and T0 represents the preset compressor reference winding temperature.

[0092] According to another embodiment of the present invention, the estimation module 30 uses the following formula to calculate the compressor winding resistance: R=R0+K*(Tr-T0), wherein R represents the estimated compressor winding resistance, R0 represents the reference winding resistance of the compressor at the compressor reference winding temperature, Tr represents the calculated compressor winding temperature, T0 represents the preset compressor reference winding temperature, and K represents the preset fitting coefficient.

[0093] It should be noted that, for details not disclosed in the online estimation device for compressor winding resistance of the embodiment of the present invention, please refer to the details disclosed in the online estimation method for compressor winding resistance of the present invention, and the details will not be repeated here.

[0094] According to the compressor winding resistance online estimation device of the embodiment of the present invention, the compressor exhaust temperature is first detected by the temperature detection module, and then the compressor winding temperature is obtained according to the compressor exhaust temperature by the determination module, and finally the compressor winding resistance is calculated by the estimation module according to the compressor winding temperature. The device controls the compressor by calculating the compressor winding resistance in real time, which can ensure the stable and efficient operation of the compressor and improve the response speed of the compressor.

[0095] It should be noted that the logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection portion with one or more wirings (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0096] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0097] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0098] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0099] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0100] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A method for online estimation of compressor winding resistance, characterized in that: include: Detect the compressor exhaust temperature; determining a compressor winding temperature based on the compressor exhaust temperature; estimating compressor winding resistance based on the compressor winding temperature; Estimating compressor winding resistance based on the compressor winding temperature, comprising: Obtaining a reference winding resistance at a reference winding temperature of the compressor; estimating the compressor winding resistance based on the compressor reference winding temperature, the reference winding resistance and the compressor winding temperature; Estimate the compressor winding resistance according to the following formula: R=R0*(Tr+234.5) / (T0+234.5), Wherein, R is the compressor winding resistance, R0 is the reference winding resistance, Tr is the compressor winding temperature, and T0 is the compressor reference winding temperature.

2. The compressor winding resistance online estimation method according to claim 1, characterized in that: Determining the compressor winding temperature according to the compressor exhaust temperature includes: Determine the compressor type; A first compensation temperature is determined according to the compressor type, and the sum of the first compensation temperature and the compressor exhaust temperature is used as the compressor winding temperature.

3. The compressor winding resistance online estimation method according to claim 1, characterized in that: Determining the compressor winding temperature according to the compressor exhaust temperature includes: Determine the compressor type, and obtain the ambient temperature and compressor operating frequency; A second compensation temperature is determined according to the compressor type, the ambient temperature and the compressor operating frequency, and the sum of the second compensation temperature and the compressor exhaust temperature is used as the compressor winding temperature.

4. A compressor control method, characterized in that: include: Execute the compressor winding resistance online estimation method according to any one of claims 1 to 3 to obtain the compressor winding resistance; Observe the compressor flux according to the compressor winding resistance to obtain the compressor rotor angle and compressor speed; The compressor is controlled according to the compressor rotor angle and the compressor speed.

5. A computer-readable storage medium, characterized in that: A compressor winding resistance online estimation program is stored thereon, and when the compressor winding resistance online estimation program is executed by a processor, the compressor winding resistance online estimation method according to any one of claims 1-3 is implemented.

6. A motor controller, characterized in that: It includes a memory, a processor, and an online estimation program for compressor winding resistance stored in the memory and executable on the processor. When the processor executes the online estimation program for compressor winding resistance, the online estimation method for compressor winding resistance according to any one of claims 1 to 3 is implemented.

7. An air conditioner, characterized in that: It includes a memory, a processor, and an online estimation program for compressor winding resistance stored in the memory and executable on the processor. When the processor executes the online estimation program for compressor winding resistance, the online estimation method for compressor winding resistance according to any one of claims 1 to 3 is implemented.

8. A compressor winding resistance online estimation device, characterized in that: include: A temperature detection module is used to detect the exhaust temperature of the compressor; A determination module, configured to determine a compressor winding temperature according to the compressor exhaust temperature; an estimation module, configured to estimate the compressor winding resistance according to the compressor winding temperature; The estimation module calculates the compressor winding resistance according to the compressor winding temperature, and is specifically used to: obtain the reference winding resistance of the compressor at the compressor reference winding temperature; calculate the compressor winding resistance according to the compressor reference winding temperature, the reference winding resistance and the compressor winding temperature; The estimation module uses the following formula to calculate the compressor winding resistance: R=R0*(Tr+234.5) / (T0+234.5), Wherein, R is the compressor winding resistance, R0 is the reference winding resistance, Tr is the compressor winding temperature, and T0 is the compressor reference winding temperature.

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