Low-loss energy-saving fan motor and temperature self-adaptive control method thereof

Abstract

The application relates to the technical field of fan motors, and particularly discloses a low-loss energy-saving fan motor and a temperature self-adaptive control method thereof. The technical scheme of the application is configured with a temperature detector, a current detector, a controller and an inverter in the fan motor, and a loss optimization model is established, real-time temperature is used to correct winding resistance values, real-time copper loss and iron loss are accurately calculated, and then target current waveform parameters minimizing the sum of the copper loss and the iron loss are output, so that the problems of insufficient efficiency optimization, large loss in a non-rated load interval and lack of real-time cooperative regulation and control of winding temperature and operating conditions of the existing fan motor during light load and variable operating conditions are solved, motor operation loss is reduced, full-condition operation efficiency is improved, and temperature self-adaptive control capability is improved, so that the energy-saving level and operation reliability of the fan motor are improved.

Description

Technical Field

[0001] This invention relates to the field of wind turbine motor technology, and in particular to a low-loss energy-saving wind turbine motor and its temperature adaptive control method. Background Technology

[0002] As a core power component of ventilation systems, the operating efficiency and energy consumption of fan motors directly affect the overall system performance. Existing fan motor designs often prioritize output capacity under rated conditions, neglecting efficiency optimization under light loads and variable operating conditions. This results in significant copper and iron losses in non-rated load ranges, leading to higher overall energy consumption and a marked decrease in operating efficiency. Furthermore, existing fan motors generally employ fixed-speed or simple gear control strategies, lacking a real-time coordinated control mechanism for motor winding temperature and operating conditions. When ambient temperature changes or load fluctuates, it becomes difficult to achieve a dynamic balance between heat dissipation and heat generation, easily leading to excessively high localized temperatures. This accelerates insulation aging and reduces operational reliability. Therefore, achieving adaptive temperature control while reducing motor losses has become a critical technical challenge for improving the energy efficiency and reliability of fan motors. Summary of the Invention

[0003] To address the aforementioned technical problems, this invention provides a low-loss, energy-saving fan motor and its temperature adaptive control method.

[0004] In a first aspect, the present invention provides a low-loss energy-saving fan motor, the technical solution of which is as follows: Includes: stator assembly, rotor assembly, temperature detector, current detector, controller, and inverter; The stator assembly includes a stator core and multiphase stator windings embedded in stator core slots; The rotor assembly is rotatably disposed on the radial inner side of the stator core; The temperature detector is used to detect the real-time temperature of the multiphase stator winding; The current detector is used to detect the real-time current of the multiphase stator winding; The controller is used to use an internally stored loss optimization model to correct the resistance value of the multiphase stator winding through the real-time temperature, calculate the real-time copper loss using the corrected resistance value, calculate the real-time iron loss using the real-time current, and output the target current waveform parameters that minimize the sum of real-time copper loss and real-time iron loss through the loss optimization model. The target current waveform parameters include the fundamental current amplitude, the fundamental current frequency, and the amplitude and phase of at least one harmonic current. The inverter receives the target current waveform parameters and generates a corresponding drive current to provide to the multiphase stator winding.

[0005] Secondly, the present invention provides a temperature adaptive control method for a low-loss energy-saving fan motor, applied to the low-loss energy-saving fan motor provided by the present invention. The technical solution of the temperature adaptive control method for the low-loss energy-saving fan motor is as follows: Detect the real-time temperature and real-time current of the multiphase stator winding; Using the internally stored loss optimization model, the resistance value of the multiphase stator winding is corrected by the real-time temperature. Real-time copper loss is calculated using the corrected resistance value, and real-time iron loss is calculated using the real-time current. The loss optimization model outputs target current waveform parameters that minimize the sum of real-time copper loss and real-time iron loss. The target current waveform parameters include the fundamental current amplitude, the fundamental current frequency, and the amplitude and phase of at least one harmonic current. The corresponding drive current is generated based on the target current waveform parameters and provided to the multiphase stator winding.

[0006] The technical solution of this invention, by configuring a temperature detector, a current detector, a controller, and an inverter in the wind turbine motor and establishing a loss optimization model, uses real-time temperature correction of winding resistance values ​​to accurately calculate real-time copper and iron losses, and then outputs target current waveform parameters that minimize the sum of copper and iron losses. This solves the problems of insufficient efficiency optimization, excessive losses in non-rated load ranges, and lack of real-time coordinated control of winding temperature and operating conditions in existing wind turbine motors. It reduces motor operating losses, improves overall operating efficiency, and enhances temperature adaptive control capabilities, thereby improving the energy-saving level and operational reliability of the wind turbine motor. Attached Figure Description

[0007] Figure 1 This is a schematic diagram of an embodiment of a low-loss energy-saving fan motor according to the present invention; Figure 2 This is a flowchart illustrating an embodiment of a low-loss energy-saving fan motor temperature adaptive control method according to the present invention. Detailed Implementation

[0008] Figure 1 A schematic diagram of an embodiment of a low-loss, energy-saving fan motor provided by the present invention is shown. Figure 1 As shown, the low-loss energy-saving fan motor includes: a stator assembly, a rotor assembly, a temperature detector, a current detector, a controller, and an inverter.

[0009] The stator assembly includes a stator core and multiphase stator windings embedded in stator core slots.

[0010] The stator core refers to the laminated structure in a motor used to fix the windings and conduct magnetic flux, made of laminated silicon steel sheets. For example, a three-phase permanent magnet synchronous fan motor with a rated power of 2.2kW has a stator core with an outer diameter of 120mm and an inner diameter of 75mm, made of laminated silicon steel sheets with a thickness of 0.35mm. The multiphase stator winding refers to multiple sets of coils embedded in the stator core slots, used to generate a rotating magnetic field by passing multiphase alternating current through them. For example, the motor mentioned above uses a three-phase winding, with each phase consisting of four coils connected in series, embedded in 36 stator slots.

[0011] The rotor assembly is rotatably disposed on the radially inner side of the stator core.

[0012] The radial inner side refers to the side pointing towards the center of the circle along the radius of the stator core; for example, the rotor assembly is located on the radial inner side of the stator core, and there is a 0.5mm air gap between the outer surface of the rotor and the inner surface of the stator.

[0013] The temperature detector is used to detect the real-time temperature of the multiphase stator winding.

[0014] Real-time temperature refers to the winding temperature value measured by the temperature detector at the current moment; for example, on May 1, 2026, under an ambient temperature of 35°C, after the motor has been running continuously for 2 hours, the real-time winding temperature measured by the temperature detector is 95°C.

[0015] The current detector is used to detect the real-time current of the multiphase stator winding.

[0016] The real-time current refers to the winding input current value measured by the current detector at the current moment; for example, when the load rate is 60%, the effective values ​​of the three-phase real-time current measured by the current detector are 3.2A, 3.2A, and 3.2A, respectively.

[0017] The controller is used to use an internally stored loss optimization model to correct the resistance value of the multiphase stator winding through the real-time temperature, calculate the real-time copper loss using the corrected resistance value, calculate the real-time iron loss using the real-time current, and output the target current waveform parameters that minimize the sum of the real-time copper loss and the real-time iron loss through the loss optimization model. The target current waveform parameters include the fundamental current amplitude, the fundamental current frequency, and the amplitude and phase of at least one harmonic current.

[0018] The loss optimization model refers to a mathematical model pre-existing within the controller, used to calculate the target current waveform parameters that minimize total loss based on the input real-time temperature and real-time current. For example, after inputting 95℃ and 3.2A, the loss optimization model outputs a fundamental current amplitude of 4.5A, a fundamental current frequency of 35Hz, a third harmonic current amplitude of 0.45A, and a phase of 15°.

[0019] It should be noted that the loss optimization model obtains the optimal target current waveform parameters under different temperature and load combinations through offline particle swarm optimization algorithm pre-training. During training, the fitness function is minimized by the sum of real-time copper loss and real-time iron loss, and the optimization variables are the fundamental current amplitude, fundamental current frequency, and the order, amplitude, and phase of at least one harmonic current. The optimal solution is solved at 5% load rate and at 5°C temperature intervals within the rated load range, and the solution results are stored in the optimal harmonic parameter table in the data storage. During operation, the controller also uses online gradient descent to fine-tune the parameters obtained from the lookup table. The fine-tuning step size is negatively correlated with the current real-time temperature change rate and load change rate to cope with nonlinear operating conditions that have not been pre-trained.

[0020] The resistance value refers to the DC resistance of the multiphase stator winding at a certain temperature. For example, the resistance of the motor winding mentioned above is 1.2Ω at a reference temperature of 20℃, and the resistance increases to 1.56Ω at 95℃. The corrected resistance value refers to the accurate resistance value at the current temperature obtained by correcting the reference resistance value using the real-time temperature. For example, the controller calculates the corrected resistance value of 1.56Ω based on the real-time temperature of 95℃ and the reference resistance value of 1.2Ω using a temperature correction formula.

[0021] Real-time copper loss refers to the power loss of the winding copper conductor calculated based on the real-time current and the corrected resistance value. For example, if the effective value of the three-phase real-time current is 3.2A and the corrected resistance value is 1.56Ω, the calculated real-time copper loss is... Real-time iron loss refers to the sum of eddy current loss and hysteresis loss in the stator core, calculated based on the fundamental frequency and amplitude of the real-time current; for example, at 35Hz and 3.2A current, the real-time iron loss is calculated to be 22.5W.

[0022] The target current waveform parameters refer to the set of drive current characteristic values ​​output by the controller that minimizes the sum of real-time copper losses and real-time iron losses. For example, the target current waveform parameters include a fundamental current amplitude of 4.5A, a fundamental current frequency of 35Hz, a third harmonic current amplitude of 0.45A, and a phase of 15°. The fundamental current amplitude refers to the peak value of the lowest frequency component of the sinusoidal wave in the drive current. For example, the peak value of the fundamental component in the target current waveform is 4.5A, corresponding to an effective value of approximately 3.18A. The fundamental current frequency refers to the number of cycles per second in which the fundamental component of the drive current changes, expressed in Hz. For example, to match a 60% load rate, the fundamental current frequency is set to 35Hz. The amplitude and phase of the harmonic current refer to the peak value and starting angle of the components in the drive current whose frequencies are integer multiples of the fundamental frequency. For example, the third harmonic current amplitude is 0.45A, and the phase is 15° electrical angle.

[0023] The inverter receives the target current waveform parameters and generates a corresponding drive current to provide to the multiphase stator winding.

[0024] Among them, the driving current refers to the actual current output by the inverter to the multiphase stator winding according to the target current waveform parameters; for example, the inverter outputs a three-phase sinusoidal pulse width modulation current with a fundamental effective value of 3.18A, containing the third harmonic component.

[0025] The technical solution of this embodiment configures a temperature detector, a current detector, a controller, and an inverter in the wind turbine motor, and establishes a loss optimization model. It uses real-time temperature to correct the winding resistance value to accurately calculate real-time copper loss and iron loss, and then outputs the target current waveform parameters that minimize the sum of copper loss and iron loss. This solves the problems of insufficient efficiency optimization, excessive loss in non-rated load range, and lack of real-time coordinated control of winding temperature and operating conditions in existing wind turbine motors. It reduces motor operating losses, improves all-condition operating efficiency, and improves temperature adaptive control capability, thereby improving the energy-saving level and operational reliability of the wind turbine motor.

[0026] In one alternative approach, the multiphase stator winding adopts a double-layer lap winding structure, with each phase winding consisting of multiple coil groups connected in series, and each coil group containing a preset number of enameled copper wire turns.

[0027] Among them, the double-layer lap-wound structure refers to the arrangement of windings with two different coil sides in each slot, where each phase winding is divided into upper and lower layers and embedded in the stator slot; for example, in the 36 slots of the above motor, the upper and lower layers of each slot are respectively placed with the sides of different coil groups, forming a double-layer lap-wound structure.

[0028] The preset number of turns refers to the number of turns of enameled copper wire in each coil group determined during the design; for example, the preset number of turns for each coil group is 45 turns. Enameled copper wire refers to copper wire with an insulating varnish coating, used for winding motor windings; for example, 1.0mm diameter polyesterimide enameled copper wire is used.

[0029] Among the above-mentioned optional methods, the stator winding spatial layout is further optimized. The slot fill factor and winding density are improved by using a double-layer lap winding structure, which reduces the DC resistance of the winding, reduces copper loss, improves the heat dissipation conditions of the motor, and extends the service life of the insulation.

[0030] In one alternative, the number of slots per pole per phase in the double-layer lap-wound structure is an integer, and the multiphase stator windings employ short-pitch windings to reduce magnetomotive force harmonics.

[0031] Among them, the number of slots per pole per phase refers to the number of stator slots occupied by each phase winding under each magnetic pole; for example, if the motor has 4 poles, 3 phases, and a total of 36 slots, the number of slots per pole per phase is 36 / (4×3)=3.

[0032] Short-pitch windings refer to windings where the coil pitch is smaller than the pole pitch, used to weaken certain magnetomotive force harmonics; for example, a short-pitch winding with a pole pitch of 8 slots is used when the pole pitch is 9 slots. Magnetomotive force harmonics refer to the harmonic components other than the fundamental wave in the spatial distribution of the magnetic field generated after the stator windings are energized; for example, the 5th and 7th magnetomotive force harmonics are significantly weakened after using short-pitch windings.

[0033] Among the above-mentioned optional methods, an integer slot short-pitch winding design is further adopted to weaken the harmonic components of the magnetomotive force, reduce the additional iron and copper losses caused by harmonics, improve the air gap magnetic field waveform, reduce electromagnetic vibration and noise, and improve the smoothness of motor operation.

[0034] In one alternative embodiment, the temperature detector is a negative temperature coefficient thermistor, which is embedded in the end insulation layer of the multiphase stator winding.

[0035] Among them, a negative temperature coefficient thermistor refers to a semiconductor temperature sensor whose resistance decreases as temperature increases; for example, a negative temperature coefficient thermistor of model A, embedded at the end of the winding, has a resistance of 10kΩ at 25℃ and approximately 1.2kΩ at 95℃. The end insulation layer refers to the insulating material layer covering the portions of the stator winding extending beyond the iron core; for example, the winding ends are wrapped with a 0.1mm thick polyimide film insulation layer.

[0036] In the above-mentioned optional methods, a negative temperature coefficient thermistor is further embedded in the insulation layer at the end of the winding to achieve direct detection of the temperature at the end of the winding, improve the temperature measurement accuracy and response speed, and provide accurate temperature input data for the loss optimization model.

[0037] In one alternative embodiment, the current detector is a Hall effect current sensor, which is connected to the power supply bus of the multiphase stator winding.

[0038] Among them, the Hall effect current sensor refers to a non-contact sensor that uses a Hall element to detect changes in the magnetic field to measure current; for example, a Hall effect current sensor of model B is connected to the power supply bus and has a measurement range of 0A to 20A. The power supply bus refers to the three-phase power supply line that connects the inverter output terminal to the multi-phase stator winding; for example, three copper wires with a cross-sectional area of ​​2.5mm² constitute the power supply bus.

[0039] In the above-mentioned optional methods, a Hall effect current sensor is further used to be connected to the power supply bus to realize non-contact current measurement, avoid additional losses caused by extra resistance in the measurement circuit, and improve the accuracy of current detection and long-term operational reliability.

[0040] In one alternative approach, the loss optimization model further outputs the order of the at least one harmonic current, which is an odd multiple of the fundamental frequency, and the ratio of the amplitude of the at least one harmonic current to the amplitude of the fundamental current is less than a preset ratio threshold.

[0041] The preset ratio threshold refers to the maximum allowable ratio between the harmonic current amplitude and the fundamental current amplitude. For example, the preset ratio threshold is 0.15, which means that the harmonic current amplitude does not exceed 15% of the fundamental current amplitude.

[0042] In the above-mentioned optional methods, the harmonic current order is further limited to an odd multiple of the fundamental frequency and the harmonic amplitude ratio is controlled to suppress the additional losses caused by excessive harmonic injection and ensure the electromagnetic compatibility and stable operation of the motor under harmonic optimized modulation.

[0043] In an alternative embodiment, the controller further includes a data storage device for storing the loss optimization model and multiple sets of optimal harmonic parameter tables under preset load conditions. When the real-time load power falls within the preset load condition range, the controller directly calls the corresponding optimal harmonic parameters.

[0044] The data memory refers to the non-volatile storage unit inside the controller used to store loss optimization models and parameters; for example, a 64kB EEPROM chip can be used as the data memory.

[0045] The preset load conditions refer to several typical load power ranges set in advance for quick table lookup; for example, the preset load conditions are five ranges: 0-20%, 20-40%, 40-60%, 60-80%, and 80-100%. The optimal harmonic parameter table refers to a table storing the pre-calculated optimal harmonic parameters for each preset load condition; for example, in the 60-80% load range, the optimal harmonic parameter table records the 3rd harmonic, with an amplitude of 12% of the fundamental frequency amplitude and a phase of 18°.

[0046] In the above-mentioned optional methods, the controller is further configured with a data storage device to store multiple sets of optimal harmonic parameter tables under preset load conditions. By using a table lookup method, the amount of real-time calculation is reduced, the control response time is shortened, and the real-time control capability of the system is improved.

[0047] In an alternative approach, when the loss optimization model uses the real-time temperature to correct the resistance value of the multiphase stator winding, the controller is specifically configured to: calculate the corrected resistance value using a dynamic temperature-frequency coupling correction formula, wherein the dynamic temperature-frequency coupling correction formula is: ; in, This indicates the corrected resistance value. Indicates the multiphase stator winding at the reference temperature The initial resistance value below, , Indicates the first and second order temperature coefficients. Indicates the phase transition temperature coefficient. Indicates the steepness coefficient. Indicates the thermal memory coefficient. Indicates the attenuation coefficient. Indicates the current moment. This indicates the real-time temperature. This represents the integral variable.

[0048] Among them, the first-order temperature coefficient Second-order temperature coefficient Phase transition temperature coefficient Steepness coefficient Thermal memory coefficient and attenuation coefficient The resistance was obtained through segmented calibration experiments. Specifically, the multiphase stator winding was placed in a temperature-controlled chamber, and the resistance was measured at 5°C intervals from -20°C to 150°C. The resistance was then fitted using data from 0-50°C. and By fitting the logistic function using data from 80-120℃, we obtain... and The resistance response curves from a step temperature rise experiment (rapidly rising from 20℃ to 100℃ and holding for 30 minutes) were deconvolved to obtain... and The calibrated coefficients are burned into the controller's read-only memory once, and do not need to be recalibrated throughout its entire lifespan.

[0049] It should be noted that the dynamic temperature-frequency coupling correction formula decomposes the temperature dependence of winding resistance into steady-state polynomial terms, nonlinear transition terms in the material phase transition region, and historical accumulation terms of thermal memory effects. The polynomial terms describe the behavior of the conventional positive temperature coefficient, the logistic function term simulates the abrupt change in resistance of the insulating material near the glass transition temperature, and the convolution integral term characterizes the weighted memory effect of the winding's thermal inertia on past temperature changes, thus comprehensively capturing the dynamic characteristics of resistance changes with temperature. The dynamic temperature-frequency coupling correction formula uses real-time temperature and its change history to correct the resistance value of the multiphase stator winding, ensuring that the corrected resistance value accurately reflects the true resistance of the winding under current operating conditions. This avoids the significant errors of traditional linear correction models when temperatures change drastically or approach the material phase transition point, providing accurate resistance input for subsequent copper loss calculations.

[0050] Among the above optional methods, the dynamic temperature-frequency coupling correction formula is further used to calculate the corrected resistance value. Taking into account the first-order temperature, second-order temperature, phase transition and thermal memory effects, the resistance correction accuracy is improved, and the copper loss calculation results are closer to the actual operating conditions.

[0051] In one alternative approach, when the loss optimization model outputs target current waveform parameters that minimize the sum of real-time copper loss and real-time iron loss, the controller is specifically configured to: set the ratio of the amplitude of the at least one harmonic current to the amplitude of the fundamental current according to a temperature-load nonlinear modulation relationship, wherein the temperature-load nonlinear modulation relationship is: ; in, This indicates the amplitude of the at least one harmonic current. Indicates the amplitude of the fundamental current. This indicates the real-time load power of the fan motor. This indicates the rated power of the fan motor. This indicates the real-time temperature. Indicates the reference temperature. , , This represents the preset modulation coefficient. Indicates the load index. Represents the Singer function. This represents the hyperbolic tangent function.

[0052] It should be noted that the expression for the temperature-load nonlinear modulation relationship models the harmonic current injection amplitude ratio as a coupled nonlinear function of load power and winding temperature. The Singer function term reflects the periodic decay of the harmonic suppression effect with varying load rate, the Gaussian exponential term simulates the symmetrical decay of harmonic injection capability when the temperature deviates from the reference, and the product of the power function and the hyperbolic tangent term describes the relationship that the harmonic enhancement effect in the light load region increases with increasing load and is modulated inversely by temperature. The superposition of these three factors forms the optimal harmonic injection ratio under the combined effect of load and temperature. When the loss optimization model outputs the target current waveform parameters, the above expression dynamically calculates the optimal ratio of at least one harmonic current amplitude to the fundamental current amplitude based on real-time load power and real-time temperature. This ensures that the injected harmonic current can effectively reduce the sum of real-time copper losses and real-time iron losses under different operating conditions, avoiding the problem of fixed-ratio harmonic injection increasing losses under light load or high-temperature conditions, thus achieving adaptive harmonic optimization control across the entire operating range.

[0053] In the above-mentioned optional methods, the ratio of the harmonic current amplitude to the fundamental current amplitude is further set according to the temperature load nonlinear modulation relationship, and the correlation between harmonic parameters and load power and winding temperature is established to realize the adaptive adjustment of harmonic parameters according to the operating conditions and optimize the loss level under all operating conditions.

[0054] Figure 2 This diagram illustrates a flow chart of an embodiment of a temperature adaptive control method for a low-loss energy-saving fan motor provided by the present invention, applied to the low-loss energy-saving fan motor provided by the present invention. Figure 2 As shown, the temperature adaptive control method for the low-loss energy-saving fan motor includes the following steps:

[0055] S1. Detect the real-time temperature and real-time current of the multiphase stator winding.

[0056] S2. Using the internally stored loss optimization model, the resistance value of the multiphase stator winding is corrected by the real-time temperature.

[0057] S3. Calculate the real-time copper loss using the corrected resistance value, and calculate the real-time iron loss using the real-time current.

[0058] S4. Output the target current waveform parameters that minimize the sum of real-time copper loss and real-time iron loss through the loss optimization model. The target current waveform parameters include the fundamental current amplitude, the fundamental current frequency, and the amplitude and phase of at least one harmonic current.

[0059] S5. Generate a corresponding drive current based on the target current waveform parameters and provide it to the multiphase stator winding.

[0060] The technical solution of this embodiment solves the problems of insufficient efficiency optimization, excessive loss in non-rated load range, and lack of real-time coordinated control of winding temperature and operating conditions in existing wind turbine motors. It reduces motor operating losses, improves operating efficiency under all operating conditions, and improves temperature adaptive control capability, thereby improving the energy-saving level and operational reliability of wind turbine motors.

Claims

1. A low-loss, energy-saving fan motor, characterized in that, include: Stator assembly, rotor assembly, temperature detector, current detector, controller, and inverter; The stator assembly includes a stator core and multiphase stator windings embedded in stator core slots; The rotor assembly is rotatably disposed on the radial inner side of the stator core; The temperature detector is used to detect the real-time temperature of the multiphase stator winding; The current detector is used to detect the real-time current of the multiphase stator winding; The controller is used to use an internally stored loss optimization model to correct the resistance value of the multiphase stator winding through the real-time temperature, calculate the real-time copper loss using the corrected resistance value, calculate the real-time iron loss using the real-time current, and output the target current waveform parameters that minimize the sum of real-time copper loss and real-time iron loss through the loss optimization model. The target current waveform parameters include the fundamental current amplitude, the fundamental current frequency, and the amplitude and phase of at least one harmonic current. The inverter receives the target current waveform parameters and generates a corresponding drive current to provide to the multiphase stator winding.

2. The low-loss energy-saving fan motor according to claim 1, characterized in that, The multiphase stator winding adopts a double-layer lap winding structure. Each phase winding is composed of multiple coil groups connected in series, and each coil group contains a preset number of enameled copper wire turns.

3. The low-loss energy-saving fan motor according to claim 2, characterized in that, The number of slots per pole and per phase in the double-layer lap-wound structure is an integer, and the multi-phase stator winding adopts short-pitch winding to weaken magnetomotive force harmonics.

4. The low-loss energy-saving fan motor according to claim 1, characterized in that, The temperature detector is a negative temperature coefficient thermistor, which is embedded in the end insulation layer of the multiphase stator winding.

5. The low-loss energy-saving fan motor according to claim 1, characterized in that, The current detector is a Hall effect current sensor, which is connected to the power supply bus of the multiphase stator winding.

6. The low-loss energy-saving fan motor according to claim 1, characterized in that, The loss optimization model also outputs the number of the at least one harmonic current, which is an odd multiple of the fundamental frequency, and the ratio of the amplitude of the at least one harmonic current to the amplitude of the fundamental current is less than a preset ratio threshold.

7. The low-loss energy-saving fan motor according to claim 6, characterized in that, The controller also includes a data storage device for storing the loss optimization model and multiple sets of optimal harmonic parameter tables under preset load conditions. When the real-time load power falls within the preset load condition range, the controller directly calls the corresponding optimal harmonic parameters.

8. The low-loss energy-saving fan motor according to claim 1, characterized in that, When the loss optimization model uses the real-time temperature correction to adjust the resistance value of the multiphase stator winding, the controller is specifically used to: calculate the corrected resistance value using a dynamic temperature-frequency coupling correction formula, wherein the dynamic temperature-frequency coupling correction formula is: ； in, This indicates the corrected resistance value. Indicates the multiphase stator winding at the reference temperature The initial resistance value below, , Indicates the first and second order temperature coefficients. Indicates the phase transition temperature coefficient. Indicates the steepness coefficient. Indicates the thermal memory coefficient. Indicates the attenuation coefficient. Indicates the current moment. This indicates the real-time temperature. This represents the integral variable.

9. The low-loss energy-saving fan motor according to claim 8, characterized in that, When the loss optimization model outputs target current waveform parameters that minimize the sum of real-time copper loss and real-time iron loss, the controller is specifically used to: set the ratio of the amplitude of the at least one harmonic current to the amplitude of the fundamental current according to the temperature-load nonlinear modulation relationship, wherein the temperature-load nonlinear modulation relationship is: ； in, This indicates the amplitude of the at least one harmonic current. Indicates the amplitude of the fundamental current. This indicates the real-time load power of the fan motor. This indicates the rated power of the fan motor. This indicates the real-time temperature. Indicates the reference temperature. , , This represents the preset modulation coefficient. Indicates the load index. Represents the Singer function. This represents the hyperbolic tangent function.

10. A temperature adaptive control method for a low-loss, energy-saving fan motor, characterized in that, Applied to the low-loss energy-saving fan motor as described in any one of claims 1 to 9, the method comprises: Detect the real-time temperature and real-time current of the multiphase stator winding; Using the internally stored loss optimization model, the resistance value of the multiphase stator winding is corrected by the real-time temperature. Real-time copper loss is calculated using the corrected resistance value, and real-time iron loss is calculated using the real-time current. The loss optimization model outputs target current waveform parameters that minimize the sum of real-time copper loss and real-time iron loss. The target current waveform parameters include the fundamental current amplitude, the fundamental current frequency, and the amplitude and phase of at least one harmonic current. The corresponding drive current is generated based on the target current waveform parameters and provided to the multiphase stator winding.

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