An inner rotor brushless motor and heat dissipation optimization method

Abstract

The application provides an inner rotor brushless motor and a heat dissipation optimization method, and belongs to the technical field of motors, and specifically comprises the following steps: based on the determination of the variation of the excitation current of the motor at a variable time, when the variation of the excitation current of the motor meets the requirements, the historical temperature monitoring data of the motor in different excitation current intervals is used as the basis to determine the current monitoring interval, the torque monitoring data is obtained by monitoring the torque in the current monitoring interval, and based on the deviation of the torque monitoring data and the preset torque under the corresponding excitation current and the corresponding current monitoring interval, the heat dissipation optimization method based on load control is determined, so that the operation reliability of the motor is improved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of electric machines, and particularly relates to an inner rotor brushless motor and a heat dissipation optimization method. BACKGROUND

[0002] The inner rotor brushless motor has been widely applied in automobile air conditioning systems due to its high efficiency, compactness and flexible control. The inner rotor brushless motor adopts a structure layout of built-in rotor and external stator, has a small diameter, and is very suitable for the stringent requirements of automobile air conditioner compressors on space volume.

[0003] At the same time, since the rotor of the inner rotor brushless motor adopts a permanent magnet device, the permanent magnet device will inevitably cause demagnetization phenomenon as the temperature rises. Therefore, how to optimize the load reduction and shutdown strategy according to the variation of the residual magnetism of the permanent magnet device to avoid the influence of residual magnetism performance degradation on the operation reliability of the motor becomes a technical problem to be solved.

[0004] Therefore, in order to solve the above technical problems, the application provides an inner rotor brushless motor and a heat dissipation optimization method. SUMMARY

[0005] To achieve the purpose of the application, the application adopts the following technical solutions:

[0006] To achieve the above-mentioned purpose of the application, the heat dissipation optimization method provided by the application includes the following contents:

[0007] S1, based on the operation data of the motor, determine the torque variation of the motor at different excitation currents, and based on the torque variation, determine that when the residual magnetism variation risk of the rotor of the motor is within a preset interval, proceed to the next step;

[0008] S2, determine the variation of the excitation current of the motor in the current operation process, determine the variation time of the excitation current according to the variation, and based on the variation time, determine that when the variation of the excitation current of the motor meets the requirements, based on the historical temperature monitoring data of the motor under different excitation current intervals, determine the current monitoring interval;

[0009] S3, monitor the torque in the current monitoring interval to obtain torque monitoring data, and based on the deviation of the torque monitoring data from the preset torque under the corresponding excitation current and the corresponding current monitoring interval, determine the heat dissipation optimization method based on load control.

[0010] Further technical solutions are that the torque variation includes the variation amount of the output torque of the motor under different excitation currents.

[0011] A further technical solution is to determine the rotor residual magnetism variation risk of the motor by the method comprising the steps of:

[0012] Determining the variation amount of the output torque of the motor under different excitation currents, and determining the variation amount of the output torque of the motor under different adjacent unit time periods under different excitation currents;

[0013] Determining the variation time period under different excitation currents based on the variation amount;

[0014] Determining the rotor residual magnetism variation risk of the motor through the excitation current with the variation time period.

[0015] A further technical solution is to determine the heat dissipation optimization method based on load control by the method comprising the steps of:

[0016] Based on the deviation of the torque monitoring data and the preset torque under the corresponding excitation current, determining the time when the torque monitoring data is less than the preset torque under different current monitoring intervals, and taking it as the torque abnormal time;

[0017] Determining the heat dissipation optimization method based on load control according to the number of torque abnormal time and the number of torque abnormal time under the current monitoring interval.

[0018] A further technical solution is that the preset torque is the rated output torque of the motor under the excitation current.

[0019] In a second aspect, the application provides an inner rotor brushless motor adopting the heat dissipation optimization method, comprising the following contents:

[0020] A temperature monitoring module, an optimization strategy determination module, and a heat dissipation optimization module;

[0021] The rotor of the motor is built by a permanent magnet, wherein the temperature monitoring module is responsible for the temperature monitoring process of the motor, the optimization strategy determination module is responsible for determining the heat dissipation optimization method based on load control, and the heat dissipation optimization module is responsible for heat dissipation optimization processing based on the heat dissipation optimization method.

[0022] The application has the following beneficial effects:

[0023] Based on the torque variation condition, it is determined whether the rotor residual magnetism variation risk of the motor is within the preset interval, fully considering the technical problem that the reduction of residual magnetism will cause the torque of the rotor of the motor to be low, realizing accurate evaluation of the severity of the variation of the rotor residual magnetism from the torque variation condition, and further realizing determination of the differential heat dissipation optimization processing mode from the severity of the variation of the residual magnetism, improving the reliability of the heat dissipation optimization processing, and reducing the risk of further reduction of the rotor residual magnetism.

[0024] Based on the deviation of the torque monitoring data and the preset torque under the corresponding excitation current and the corresponding current monitoring interval, the load control based heat dissipation optimization method is determined, which not only considers the distribution data of the time when the torque monitoring data is less than the preset torque under the current running condition, but also considers the number of times when the torque monitoring data is less than the preset torque under the current current monitoring interval, thereby realizing comprehensive consideration of the further reduction of residual magnetism caused by excessive temperature, and ensuring the safety and stability of the operation of the motor.

[0025] Other features and advantages will be set forth in the following description, and the objectives and other advantages of the application will be achieved and obtained by the structures particularly pointed out in the description and the drawings.

[0026] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the following preferred embodiments are specifically described, and the accompanying drawings are described in detail as follows. BRIEF DESCRIPTION OF DRAWINGS

[0027] The above and other features and advantages of the present application will become more apparent by describing in detail example embodiments thereof with reference to the attached drawings.

[0028] Figure 1 A flowchart of a heat dissipation optimization method;

[0029] Figure 2 A flowchart of a method for determining the risk of residual magnetism variation of the rotor of the motor;

[0030] Figure 3 A flowchart for determining that the variation of the excitation current of the motor meets the requirements;

[0031] Figure 4 A flowchart of a method for determining the current monitoring interval;

[0032] Figure 5 A frame diagram of an inner rotor brushless motor. DETAILED DESCRIPTION

[0033] In order to make the person skilled in the art better understand the technical solutions in the specification, the technical solutions in the specification will be described clearly and completely in the following with reference to the drawings in the specification. Obviously, the described embodiments are only part of the embodiments of the specification, not all. Based on the embodiments of the specification, all other embodiments obtained by the person skilled in the art without creative labor should belong to the protection scope of the specification.

[0034] In this application, by determining the torque variation within different current detection ranges, the risk of residual magnetism variation in the internal rotor motor is determined using the variation. Then, the risk of residual magnetism variation is used to determine the motor's heat dissipation optimization strategy, thereby avoiding overheating from causing more severe demagnetization damage to the motor's residual magnetism.

[0035] Example 1

[0036] Specifically, such as Figure 1 As shown, a heat dissipation optimization method includes the following:

[0037] S1 uses the motor's operating data to determine the torque variation of the motor under different excitation currents. When it is determined that the risk of residual magnetism variation in the motor's rotor is within a preset range based on the torque variation, the process proceeds to the next step.

[0038] Furthermore, the torque variation includes the variation in the output torque of the motor under different excitation currents.

[0039] Specifically, such as Figure 2 As shown, the method for determining the risk of residual magnetism variation in the rotor of the motor is as follows:

[0040] The variation of the motor's output torque under different excitation currents is used to determine the variation of the motor's output torque between different adjacent unit time periods under different excitation currents.

[0041] The time interval for different excitation currents is determined based on the aforementioned variation.

[0042] The risk of residual magnetism variation in the rotor of the motor is determined by the excitation current during periods of variation.

[0043] It is understood that the variable time period is a unit time period with a larger decrease in output torque compared to the previous unit time period under the same excitation current and the same speed. Specifically, the unit time period with a decrease in magnitude within a preset range is used as the variable time period.

[0044] It should be noted that when comparing the time periods, the corresponding time periods are under the same excitation current and the same speed, and the value of the unit time period is between 15 seconds and 1 minute.

[0045] Specifically, the risk of residual magnetism variation in the rotor of the motor is determined by the percentage of the cumulative operating time of the motor under the excitation current during periods of variation.

[0046] It should be noted that the residual magnetism variation risk of the motor rotor ranges from 0 to 1. When the residual magnetism variation risk of the motor rotor is not within the preset range, it is necessary to further determine whether the residual magnetism variation risk of the motor rotor is greater than 0.6. This indicates that the residual magnetism of the motor rotor has indeed decreased. Therefore, based on this, the first control strategy is adopted for load control. That is, load control is performed, i.e., the excitation current is reduced, whenever the deviation between the preset torque and the torque monitoring data is greater than the preset deviation. When the residual magnetism variation risk is not greater than 0.6, it indicates that there is no residual magnetism variation risk in the motor. Therefore, in this case, the second control strategy is adopted for load control. That is, load control is required, i.e., the excitation current is reduced, only when the cumulative running time during the current operation where the deviation between the preset torque and the torque monitoring data is greater than the preset deviation is more than 20 minutes, and the cumulative running time at the current excitation current where the deviation between the preset torque and the torque monitoring data is greater than the preset deviation is more than 10 minutes.

[0047] In another possible embodiment, the method for determining the risk of residual magnetism variation in the rotor of the motor is as follows:

[0048] S11 determines the amount of variation of the motor's output torque under different excitation currents between different adjacent unit time periods based on the amount of variation of the motor's output torque under different excitation currents, and determines the number of variation time periods under different excitation currents based on the amount of variation.

[0049] It should be noted that the above steps are divided into the following situations, specifically:

[0050] Case 1: When there is no variation period under different excitation currents, it means that there is no risk of residual magnetism variation in the motor. Therefore, the second control strategy can be used to control the load and thus optimize heat dissipation.

[0051] Case 2: Obtain the number of excitation currents with varying time periods. When the number of excitation currents with varying time periods does not meet the requirements, that is, when there are a large number of excitation currents with varying time periods, it is determined that the risk of residual magnetism variation is relatively high, that is, it is not within the preset risk range. In this case, the first control strategy can be used to control the load and thus achieve optimized heat dissipation.

[0052] Case 3: When there is no excitation current with a number of time periods that do not meet the requirements, if there are a large number of excitation currents with time periods or a large total number of time periods with different excitation currents, then it is determined that the risk of residual magnetism variation is high, i.e., it is not within the preset risk range. In this case, the first control strategy can be used to control the load and thus optimize heat dissipation. Specifically, a threshold method can be used to determine whether there are too many cases. If none of the above three cases exist, then proceed to the next step.

[0053] S12 obtains the cumulative running time of the motor under different excitation currents, and determines the proportion of the cumulative running time of the motor under different excitation currents based on the cumulative running time.

[0054] In one possible embodiment, the above steps need to determine whether the sum of the cumulative running time of the clicks under the excitation current with varying time periods meets the requirements, and whether the sum of the number of varying time periods in the excitation current with a cumulative running time ratio greater than a preset time period ratio threshold meets the requirements.

[0055] Specifically, when the sum of the cumulative running time of the click under the excitation current during the variable time period or the sum of the proportion of the cumulative running time is too large, i.e. it does not meet the requirements, it is determined that the risk of residual magnetism variation is relatively large, i.e. it is not within the preset risk range. Then the first control strategy can be used to control the load and thus achieve optimized heat dissipation.

[0056] Furthermore, even if the sum of the cumulative running time of the click under the excitation current with varying time periods or the sum of the proportion of the cumulative running time is not too large, if the sum of the number of varying time periods in the excitation current with the proportion of the cumulative running time being greater than the preset time period proportion threshold is too large, i.e. the requirements are not met, the first control strategy can be used to control the load and thereby optimize heat dissipation. Only when all of the above conditions are met is it necessary to proceed to the next step to assess the risk of residual magnetism variation, specifically by determining whether the requirements are met through a threshold method.

[0057] S13 determines the risk of residual magnetism variation in the motor rotor by the number of time periods of variation under different excitation currents and the proportion of the cumulative running time of the motor under different excitation currents.

[0058] In one possible embodiment, the risk of residual magnetism variation in the motor rotor is determined based on the average of the proportion of the number of variation time periods within the most recent preset time period under different excitation currents and the average of the sum of the proportions of the cumulative running time of the motor under different excitation currents.

[0059] S2 determines the variation of the excitation current of the motor during the current operation, determines the timing of the excitation current variation based on the variation, and when the variation of the excitation current of the motor meets the requirements based on the timing of the variation, the current monitoring range is determined based on the historical temperature monitoring data of the motor in different excitation current ranges.

[0060] Furthermore, the moment when the excitation current changes is when the change in the excitation current compared to the previous moment is greater than a preset current change threshold.

[0061] Specifically, such as Figure 3 As shown, determining whether the variation of the excitation current of the motor meets the requirements specifically includes:

[0062] Based on the aforementioned change times, determine the percentage of change times in the current operation of the motor, and use this percentage as the percentage of change times.

[0063] The variation of the motor's excitation current is determined by the percentage of the number of variation moments to determine whether the variation meets the requirements.

[0064] It is understandable that when the proportion of the number of changing moments is greater than 0.4, it is determined that the change in the excitation current of the motor does not meet the requirements.

[0065] Furthermore, it should be noted that when the fluctuation of the excitation current of the motor does not meet the requirements, there is a certain risk of demagnetization of the permanent magnets of the motor rotor. Therefore, based on this, the first control strategy needs to be adopted to control the load and optimize heat dissipation, thereby reducing the impact of frequent fluctuations in excitation current on the demagnetization of the permanent magnets of the rotor.

[0066] Specifically, such as Figure 4 As shown, the method for determining the current monitoring range is as follows:

[0067] Based on the historical temperature monitoring data under the excitation current range, the monitoring temperature of the motor temperature monitoring point under the excitation current range is determined;

[0068] Based on the monitored temperatures at the temperature monitoring points, determine the average monitored temperatures at different temperature monitoring points within the excitation current range;

[0069] By using the average value of the monitored temperatures at different temperature monitoring points within the excitation current range, it can be determined whether the excitation current range is a current monitoring range.

[0070] Specifically, the historical temperature monitoring data is determined based on the historical temperature monitoring data from temperature monitoring points installed on the rotor of the motor.

[0071] Specifically, the average temperature of different temperature monitoring points within the excitation current range is used as a reference temperature. When the number of temperature monitoring points with a reference temperature greater than a preset temperature threshold is more than four, the excitation current range is determined as the current monitoring range. The preset temperature threshold can be set to 70 degrees, 140 degrees, or other values, specifically determined based on the temperature threshold at which the permanent magnet is at risk of demagnetization.

[0072] In another possible embodiment, the method for determining the current monitoring interval is as follows:

[0073] S31 uses historical temperature monitoring data under the excitation current range as a basis to determine the monitoring temperature of the motor temperature monitoring point under the excitation current range. Based on the monitoring temperature of the temperature monitoring point, it determines the time when the monitoring temperature of different temperature monitoring points under the excitation current range exceeds the preset temperature threshold and takes it as the temperature abnormal time.

[0074] It should be noted that the following three situations apply before proceeding to the next step:

[0075] Case 1: If the monitored temperature at different temperature monitoring points within the excitation current range does not exceed the preset temperature threshold at any point, then the excitation current range is determined not to belong to the current monitoring range.

[0076] Case 2: The temperature monitoring point at which there is an abnormal temperature in the excitation current range is taken as the abnormal temperature monitoring point. If the number of abnormal temperature monitoring points does not meet the requirements, that is, if the number of abnormal temperature monitoring points is too large, then the excitation current range is determined to be a current monitoring range.

[0077] Case 3: When the number of abnormal temperature monitoring points meets the requirements, if there are abnormal temperature monitoring points where the number of abnormal temperature moments does not meet the requirements (i.e., there are too many abnormal temperature monitoring points where the number of abnormal temperature moments does not meet the requirements, i.e., more than 4), then the excitation current range is determined to be a current monitoring range. Whether the requirements are met is determined according to the threshold setting. Only when the number of abnormal temperature monitoring points where the number of abnormal temperature moments does not meet the requirements meets the requirements will the process proceed to the next step.

[0078] S32 uses the overlapping data of temperature anomalies at different temperature monitoring points to determine the number of temperature monitoring points belonging to the temperature anomaly at different temperature anomalies, and uses this as the number of overlapping monitoring points.

[0079] For example, in the above steps, by using the overlapping data of temperature anomaly times at different temperature monitoring points, if the different temperature anomaly times do not overlap and the average number of temperature anomaly times at different temperature monitoring points is small, then it is determined that the excitation current range does not belong to the current monitoring range.

[0080] It should also be noted that when there are overlapping temperature anomaly moments, it is necessary to determine the number of overlapping monitoring points in different temperature anomaly moments. When the number of overlapping monitoring points is more than 5, and the number of temperature anomaly moments does not meet the requirements, that is, when the number is too large, then the excitation current range is determined to belong to the current monitoring range.

[0081] When the number of overlapping monitoring points at more than 5 temperature anomaly moments meets the requirement, and the average number of overlapping monitoring points at different temperature anomaly moments is more than 3, then the excitation current interval is determined to belong to the current monitoring interval. Only when the average number of overlapping monitoring points at different temperature anomaly moments is not more than 3, then proceed to step S33.

[0082] S33 determines whether the excitation current range is a current monitoring range by the number of overlapping monitoring points at different temperature anomaly times and the number of temperature anomaly times at different temperature monitoring points.

[0083] In one embodiment, the average value of abnormal times is determined by the average value of the number of overlapping monitoring points at different temperature abnormal monitoring times and the average value of the number of temperature abnormal times at different temperature monitoring points. When the average value of abnormal times is greater than a preset threshold value of the number of times, the excitation current range is determined to be the current monitoring range.

[0084] S3 monitors the torque within the current monitoring range to obtain torque monitoring data. Based on the deviation between the torque monitoring data and the preset torque under the corresponding excitation current, as well as the corresponding current monitoring range, a heat dissipation optimization method based on load control is determined.

[0085] Specifically, the method for determining the heat dissipation optimization method based on load control is as follows:

[0086] Based on the deviation between the torque monitoring data and the preset torque under the corresponding excitation current, the moments when the torque monitoring data is less than the preset torque in different current monitoring intervals are determined and regarded as torque abnormal moments.

[0087] Based on the number of abnormal torque moments and the number of abnormal torque moments within the current monitoring range, a heat dissipation optimization method based on load control is determined.

[0088] Specifically, based on the number of abnormal torque moments and the number of abnormal torque moments within the current monitoring range, a heat dissipation optimization method based on load control is determined, including:

[0089] If the number of abnormal torque events exceeds 10, heat dissipation optimization should be implemented immediately by reducing the load.

[0090] If the number of abnormal torque moments is not more than 10, but the number of abnormal torque moments is too high, i.e. within the preset range of abnormal torque moments, if the number of abnormal torque moments in the current current monitoring range is more than 4, then heat dissipation optimization will be carried out immediately by reducing the load.

[0091] If the number of abnormal torque moments is small, i.e. not within the preset range of abnormal torque moments, or if the number of abnormal torque moments in the current current monitoring range is less than 4, then there is no need to optimize heat dissipation by reducing the load.

[0092] Furthermore, the load reduction process involves reducing the excitation current by a preset ratio, specifically by reducing it by 10%, and then re-determining the number of abnormal torque moments.

[0093] It is understood that the preset torque is the rated output torque of the motor at the corresponding speed under the excitation current.

[0094] In one possible specific embodiment:

[0095] The variable time period is a smaller unit time period compared to the output torque of the previous unit time period under the same excitation current and the same speed. Specifically, the smaller unit time period is taken as the variable time period, and the proportion of the cumulative running time of the motor under the excitation current with the variable time period is taken as the residual magnetism variation risk. In one possible embodiment, when the residual magnetism variation risk is between 0.3 and 0.6, it is determined that the residual magnetism variation risk of the motor rotor is within the preset range. 0.3-0.6 is only a specific embodiment given in this application. Specifically, it is determined according to the residual magnetism of the permanent magnet of the motor rotor. The larger the residual magnetism, the smaller the impact when residual magnetism variation occurs, and the smaller the corresponding range.

[0096] The time of change is determined by the rate of change of the excitation current between the current and the previous time. Specifically, the rate of change is determined by the ratio of the absolute value of the deviation of the excitation current between the current and the previous time to the excitation current at the previous time. When the rate of change is greater than 0.1, it is determined as the time of change.

[0097] When the proportion of the number of changing moments within the most recent preset time period is less than a threshold, it is determined that the change in the excitation current of the motor meets the requirements. In one possible embodiment, when the proportion of the number of changing moments within the most recent 10 minutes is less than 0.15, it is determined that the change in the excitation current of the motor meets the requirements.

[0098] The excitation current range where the average value of historical temperature monitoring data is greater than the preset temperature threshold is used as the current monitoring range. Specifically, it can be set to 70 degrees, 140 degrees or other values, which are determined based on the temperature threshold at which the permanent magnet is at risk of demagnetization.

[0099] The moment when the torque monitoring data is less than the preset torque in different current monitoring ranges, where the preset torque is the average torque output of the motor in the current monitoring range, will be taken as the torque abnormal moment. In one possible embodiment, if the number of torque abnormal moments is more than 10, heat dissipation optimization will be performed immediately by reducing the load.

[0100] Example 2

[0101] Secondly, such as Figure 5 As shown, this application provides an internal rotor brushless motor, employing the aforementioned heat dissipation optimization method, including the following:

[0102] Temperature monitoring module, optimization strategy determination module, heat dissipation optimization module;

[0103] The rotor of the motor is constructed using permanent magnets. The temperature monitoring module is responsible for monitoring the temperature of the motor. The optimization strategy determination module is responsible for determining a heat dissipation optimization method based on load control. The heat dissipation optimization module is responsible for performing heat dissipation optimization processing based on the heat dissipation optimization method.

[0104] It should be noted that the temperature monitoring module obtains the monitored temperature of the temperature monitoring node on the rotor through the MCU, and uses the MCU to generate an optimization strategy. Based on the optimization strategy, the MCU outputs a control signal to control the excitation current.

[0105] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0106] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0107] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. A heat dissipation optimization method, characterized in that, Specifically, it includes: Based on the motor's operating data, determine the torque variation of the motor under different excitation currents. If the risk of residual magnetism variation in the motor's rotor is determined to be within a preset range based on the torque variation, proceed to the next step. The variation of the excitation current of the motor during the current operation is determined, and the timing of the excitation current variation is determined based on the variation. When the variation of the excitation current of the motor meets the requirements based on the timing of the variation, the current monitoring interval is determined based on the historical temperature monitoring data of the motor in different excitation current intervals. Torque monitoring data is obtained by monitoring torque within the current monitoring range. Based on the deviation between the torque monitoring data and the preset torque under the corresponding excitation current, and the corresponding current monitoring range, a heat dissipation optimization method based on load control is determined. The method for determining the risk of residual magnetism variation in the rotor of the motor is as follows: The variation of the motor's output torque under different excitation currents is used to determine the variation of the motor's output torque between different adjacent unit time periods under different excitation currents. The time interval for different excitation currents is determined based on the aforementioned variation. The risk of residual magnetism variation in the rotor of the motor is determined by the excitation current during periods of variation. The risk of residual magnetism variation in the rotor of the motor is determined based on the percentage of the motor's cumulative operating time under the excitation current during periods of variation.

2. The heat dissipation optimization method as described in claim 1, characterized in that, The torque variation includes the variation in the motor's output torque under different excitation currents.

3. The heat dissipation optimization method as described in claim 1, characterized in that, The moment when the excitation current changes is when the change in the excitation current compared to the previous moment is greater than a preset current change threshold.

4. The heat dissipation optimization method as described in claim 1, characterized in that, Determining that the variation in the excitation current of the motor meets the requirements specifically includes: Based on the aforementioned change times, determine the percentage of change times in the current operation of the motor, and use this percentage as the percentage of change times. The variation of the motor's excitation current is determined by the percentage of the number of variation moments to determine whether the variation meets the requirements.

5. The heat dissipation optimization method as described in claim 1, characterized in that, The method for determining the current monitoring range is as follows: Based on the historical temperature monitoring data under the excitation current range, the monitoring temperature of the motor temperature monitoring point under the excitation current range is determined; Based on the monitored temperatures at the temperature monitoring points, determine the average monitored temperatures at different temperature monitoring points within the excitation current range; By using the average value of the monitored temperatures at different temperature monitoring points within the excitation current range, it can be determined whether the excitation current range is a current monitoring range.

6. The heat dissipation optimization method as described in claim 1, characterized in that, The method for determining the heat dissipation optimization method based on load control is as follows: Based on the deviation between the torque monitoring data and the preset torque under the corresponding excitation current, the moments when the torque monitoring data is less than the preset torque in different current monitoring intervals are determined and regarded as torque abnormal moments. Based on the number of abnormal torque moments and the number of abnormal torque moments within the current monitoring range, a heat dissipation optimization method based on load control is determined.

7. The heat dissipation optimization method as described in claim 6, characterized in that, The preset torque is the rated output torque of the motor under the excitation current.

8. An internal rotor brushless motor, employing a heat dissipation optimization method according to any one of claims 1-7, characterized in that, Specifically, it includes: Temperature monitoring module, optimization strategy determination module, heat dissipation optimization module; The rotor of the motor is constructed using permanent magnets. The temperature monitoring module is responsible for monitoring the temperature of the motor. The optimization strategy determination module is responsible for determining a heat dissipation optimization method based on load control. The heat dissipation optimization module is responsible for performing heat dissipation optimization processing based on the heat dissipation optimization method.

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