Sectional type thermal management system of stator core structure of block type motor

Abstract

The invention relates to the technical field of industrial data control, in particular to a segmented thermal management system for a stator core structure of a segmented motor, and the system is used for obtaining the liquid temperature difference, liquid flow velocity data and temperature data, gap temperature and actual power of an inlet and an outlet of a water flow channel of each unit stator core; segmenting the unit stator cores according to the temperature data of every two adjacent unit stator cores at all monitoring positions in combination with the gap temperature and the inlet and outlet liquid temperature difference to obtain characteristic segments; according to the temperature data distribution characteristics of the adjacent unit stator iron cores in each characteristic section, the overall heat dissipation index is obtained by combining the position distribution between the monitoring position and the gap; and adjusting the actual power of the motor, adjusting the liquid flow rate data of the unit stator iron core of each characteristic section, and determining a sectional type heat management scheme. According to the invention, segmented accurate heat management is realized, and the heat management effect of the motor is improved.

Description

Technical Field

[0001] This invention relates to the field of industrial data control technology, and specifically to a segmented thermal management system for the stator core structure of a segmented motor. Background Technology

[0002] A segmented stator core is composed of multiple unit stator cores, which are joined or spliced ​​together to form a complete stator core ring. Compared to the existing integrated stator core, it has significant advantages in electromagnetic performance, heat dissipation, and power density. An integrated stator core is typically a monolithic ring structure that fits tightly against the casing. Heat generated during operation can be directly released through the coolant in contact with the casing, resulting in a relatively uniform temperature distribution.

[0003] However, due to its spliced ​​structure, the distributed stator core has gaps at the joints. These gaps are easily oxidized or contaminated at high temperatures, forming local thermal resistance barriers. Consequently, the heat dissipation capacity at the joints of the segmented stator core is poor, and local high temperatures are likely to occur.

[0004] Meanwhile, the coolant flow channels of the water jacket in the outer casing of the segmented stator core need to be precisely matched with the outer diameter of the stator. If the flow channel is not accurately positioned, it will be impossible to effectively dissipate heat at the gaps. Although existing methods use embedded cooling channels (such as inter-segment spiral channels or micro-channels in the slots) to improve the heat dissipation capacity at the joints, this results in a lack of contact with the cooling medium in non-joint areas. Heat dissipation in these areas can only rely on heat conduction to adjacent cooling channel areas. However, in non-joint areas far from the channels, the heat conduction path is long and inefficient, making it difficult for heat to dissipate, thus leading to poor thermal management of the segmented stator core. Summary of the Invention

[0005] To address the technical problem of poor thermal management in existing segmented stator core thermal management methods due to long heat conduction paths, low efficiency, and difficulty in heat dissipation, the present invention aims to provide a segmented thermal management system for the stator core structure of a segmented motor. The specific technical solution adopted is as follows: A segmented thermal management system for the stator core structure of a modular motor includes a memory and a processor, wherein the processor executes a computer program stored in the memory to perform the following steps: At the current moment, acquire the inlet and outlet liquid temperature difference, liquid flow rate data, and temperature data at different monitoring locations of the water flow channel of each unit stator core of the segmented motor, as well as the gap temperature between each two adjacent unit stator cores, and acquire the actual power of the motor. Based on the differences in temperature data distribution characteristics between all monitoring locations of every two adjacent stator core units, and combined with the gap temperature and the inlet / outlet liquid temperature difference, the stator core units are segmented to obtain each characteristic segment. Based on the temperature data distribution characteristics of adjacent stator cores in each feature segment at all monitoring locations, and combined with the positional distribution between the monitoring locations of the stator cores and the gaps, the overall heat dissipation index of each feature segment is obtained. Based on the overall heat dissipation index and temperature data of all characteristic segments, the actual power of the motor is adjusted. Based on the overall heat dissipation index of each characteristic segment and the actual power of the motor, the liquid flow rate data of the unit stator core of each characteristic segment is adjusted to determine the segmented thermal management scheme.

[0006] Preferably, the step of segmenting the unit stator core based on the difference in temperature data distribution characteristics between all monitoring locations of every two adjacent unit stator cores, combined with the gap temperature and the inlet / outlet liquid temperature difference, to obtain each characteristic segment specifically includes: Based on the mean and variance of the temperature data of each unit stator core at all monitoring locations, combined with the differences in data characteristics between adjacent unit stator cores, as well as the gap temperature and the temperature difference between the inlet and outlet liquids, the segmentation reference coefficient between each pair of adjacent unit stator cores is obtained. When the segmentation parameter coefficient is greater than or equal to the preset segmentation threshold, two adjacent stator core units are divided into the same feature segment.

[0007] Preferably, the step of obtaining the segmentation reference coefficient between every two adjacent stator cores based on the mean and variance of temperature data at all monitoring locations for each stator core unit, combined with the differences in data characteristics between adjacent stator core units, as well as the gap temperature and the temperature difference between the inlet and outlet liquids, specifically includes: For any two adjacent stator cores, the gap high temperature factor corresponding to the two adjacent stator cores is determined based on the gap temperature and the temperature difference of the liquid at each inlet and outlet. Based on the differences between the mean and variance of the temperature data of each unit stator core at all monitoring locations, the thermal correlation factor corresponding to two adjacent unit stator cores is determined. The normalized value of the ratio between the thermal correlation factor and the gap high temperature factor is used as the segmentation reference coefficient between each pair of adjacent stator core units.

[0008] Preferably, the step of obtaining the overall heat dissipation index of each feature segment based on the temperature data distribution characteristics of adjacent stator cores at all monitoring locations, combined with the positional distribution between the monitoring locations of the stator cores and the gaps, specifically includes: Based on the mean and variance of the temperature of each unit stator core in each feature segment at all monitoring locations, the temperature characteristic value of each unit stator core at the current moment and the temperature characteristic value at historical moments are obtained, where the historical moment represents the moment immediately preceding the current moment; Based on the difference between the temperature characteristic values ​​of each stator core unit in each feature segment at the current time and at historical time, as well as the difference between the inlet and outlet liquid temperature differences, the heat dissipation capacity index corresponding to each pair of adjacent stator core units in each feature segment is obtained. At the current moment, based on the gap temperature between every two adjacent stator core units in each feature segment, combined with the distance between each monitoring position and the gap and the corresponding temperature data, the thermal conductivity of each stator core unit in each feature segment is obtained. At the current moment, based on the thermal conductivity between two adjacent stator cores in each feature segment, and combined with the heat correlation factor, the thermal conductivity index corresponding to two adjacent stator cores in each feature segment is obtained. The average of the products of the heat dissipation capacity index and the heat conduction capacity index in each feature segment is taken as the overall heat dissipation index of each feature segment.

[0009] Preferably, obtaining the temperature characteristic value of each unit stator core at the current moment based on the mean and variance of the temperature of each unit stator core at all monitoring locations in each characteristic segment specifically includes: At the current moment, for any stator core unit in any characteristic segment, the product of the negative correlation coefficient of the variance and the mean of the temperature data at all monitoring locations is normalized to obtain the temperature characteristic value of any stator core unit in any characteristic segment.

[0010] Preferably, the step of obtaining the heat dissipation capacity index corresponding to every two adjacent stator cores in each feature segment based on the difference between the temperature characteristic values ​​of each stator core unit in the current time and the historical time, and the difference between the inlet and outlet liquid temperature differences, specifically includes: For any unit stator core, the negative correlation coefficient between the temperature characteristic values ​​at the current time and the historical time is used as the first coefficient; the difference between the inlet and outlet liquid temperature difference at the current time and the historical time is used as the second coefficient; and the normalized result of the product of the first coefficient and the second coefficient is used as the heat dissipation capacity factor of the unit stator core. The average heat dissipation capacity factor of each pair of adjacent stator cores in each feature segment is the heat dissipation capacity index corresponding to each pair of adjacent stator cores in each feature segment.

[0011] Preferably, the step of obtaining the thermal conductivity of each stator core in each feature segment at the current time based on the gap temperature between every two adjacent stator core units in each feature segment, combined with the distance between each monitoring position and the gap and the corresponding temperature data, specifically includes: Any single stator core is designated as the first characteristic core, and adjacent stator cores within the same characteristic segment of the first characteristic core are designated as the second characteristic core. The reciprocal of the distance between each monitoring position of the first characteristic iron core and the location of the gap between the first and second characteristic iron cores is used as the distance weighting coefficient for each monitoring position. The ratio between the gap temperature between the first and second characteristic iron cores and the temperature data at each monitoring position of the first characteristic iron core is used as the temperature transfer characteristic value at each monitoring position. Using the distance weighting coefficient, the temperature transfer characteristic value of each monitoring position of the first characteristic iron core is weighted and averaged to obtain the temperature thermal conductivity of the first characteristic iron core.

[0012] Preferably, the step of obtaining the thermal conductivity index corresponding to each pair of adjacent stator cores in each characteristic segment based on the temperature thermal conductivity between each pair of adjacent stator cores in each characteristic segment at the current time, combined with the heat correlation factor, specifically includes: The product of the sum of the thermal conductivity of the first and second characteristic iron cores and the thermal correlation factor between the first and second characteristic iron cores is normalized to obtain the thermal conductivity index corresponding to the first and second characteristic iron cores.

[0013] Preferably, adjusting the actual power of the motor based on the overall heat dissipation index and temperature data of all characteristic segments specifically includes: Calculate the product of the reciprocal of the overall heat dissipation index of each characteristic segment, the normalized value of the actual power, and the normalized value of the mean of all temperature data within the characteristic segment, and perform normalization processing to obtain the power adjustment coefficient of each characteristic segment. The product of the average and maximum power regulation coefficients of all characteristic segments and the actual power of the motor is taken as the degree of motor power adjustment. The difference between the actual power of the motor at the current moment and the degree of motor power adjustment is taken as the adjusted motor power.

[0014] Preferably, adjusting the liquid flow rate data of the unit stator core of each characteristic segment based on the overall heat dissipation index of each characteristic segment and the actual power of the motor specifically includes: The product of the reciprocal of the overall heat dissipation index of each characteristic segment and the normalized value of the actual power is recorded as the characteristic product of each characteristic segment. The sum of the normalized value of the characteristic product of each characteristic segment and the value 1 is used as the flow rate adjustment coefficient of each characteristic segment. The product of the power adjustment coefficient of each characteristic segment and the liquid flow rate data of each unit stator core is used as the adjusted liquid flow rate of each characteristic segment and each unit stator core.

[0015] The embodiments of the present invention have at least the following beneficial effects: This invention first collects various parameters of each stator core unit of a modular motor, providing a data foundation for subsequent feature analysis. Then, based on the characteristic distribution of temperature data between two adjacent stator core units, and combining the gap temperature and the inlet / outlet liquid temperature difference, the temperature state exhibited by the stator core units is analyzed. This allows stator core units with highly similar temperature states to be grouped into the same characteristic segment, achieving precise segmentation of the modular stator core. Furthermore, the temperature data characteristic distribution of the stator core units within each characteristic segment is further analyzed, taking into account the temperature monitoring location and the distance between gaps, to assess heat conduction efficiency and quantify the heat dissipation pressure of the stator core units within the characteristic segment. Finally, based on the heat dissipation pressure of the stator core units within the characteristic segment, the motor load and cooling liquid flow rate can be coordinated for control, achieving precise segmented heat management and improving the motor's thermal management effect. Attached Figure Description

[0016] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating the steps of a segmented thermal management method for a segmented motor stator core structure provided by the present invention. Figure 2 This is a partial schematic diagram of the water flow channel in the housing water jacket provided by the present invention; Figure 3 This is a flowchart of the steps for obtaining the segmented reference coefficients provided by the present invention; Figure 4 This is a flowchart of the steps for obtaining the overall heat dissipation index of each feature segment provided by the present invention. Detailed Implementation

[0018] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of a segmented thermal management system for the stator core structure of a segmented motor according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0020] In this embodiment, a segmented thermal management system for the stator core structure of a modular motor includes a memory and a processor. The processor executes a computer program stored in the memory to implement the steps of a segmented thermal management method for the stator core structure of a modular motor.

[0021] The following description, in conjunction with the accompanying drawings, details the specific scheme of the segmented thermal management method for the stator core structure of a segmented motor provided by the present invention.

[0022] The specific implementation scenario targeted by this invention is as follows: Existing methods with integrated housing water jackets and embedded cooling channels have certain limitations. Therefore, in order to effectively dissipate heat from the stator core of a segmented motor, this invention sets up multiple water flow channels. When a local temperature anomaly is detected at the monitoring position of a single stator core of the segmented motor, the segmented heat dissipation management method of this invention is used to coordinately control the motor load and the flow rate of the cooling liquid according to the heat dissipation of the segmented core, thereby achieving precise segmented heat management and improving the thermal management effect of the motor.

[0023] Please see Figure 1 The diagram illustrates a flowchart of a segmented thermal management method for a segmented motor stator core structure according to an embodiment of the present invention. The method includes the following steps: Step S100: At the current moment, acquire the inlet and outlet liquid temperature difference, liquid flow rate data, and temperature data at different monitoring locations of the water flow channel of each unit stator core of the segmented motor, as well as the gap temperature between each two adjacent unit stator cores, and acquire the actual power of the motor.

[0024] First, in this embodiment, the water flow channel path on the housing water jacket is adjusted. A partial schematic diagram of the adjusted water flow channel path on the housing water jacket is shown below. Figure 2 As shown, the essence is to set up multiple coolant flow channels, dividing the interior of the housing water jacket into independent flow channel spaces. One unit stator core corresponds to one flow channel. The embedded flow channels between the housing water jacket and the unit stator core are not connected. The number of flow channels is equal to the number of unit stator cores.

[0025] Then, various types of sensors are arranged around the motor to collect various data of the stator core of each unit in real time during the operation of the motor.

[0026] The first step is to install temperature sensors at each monitoring location of each stator core unit to collect temperature data at each location and monitor the local temperature fluctuations of each stator core unit in real time. In this embodiment, the monitoring locations include the yoke and teeth of each stator core unit, meaning one stator core unit corresponds to two different monitoring locations. Fiber Bragg grating temperature sensors are used. In other embodiments, the implementer can configure the sensors according to the specific implementation scenario.

[0027] The second step involves installing temperature sensors at the joints between every two adjacent stator core units to collect the temperature of the gap between them. In this embodiment, a MEMS heat flow sensor is used, positioned at the center of the joint.

[0028] The third step involves installing temperature sensors at the inlet and outlet of the coolant flow channel to collect real-time outlet and inlet temperature data. The difference between the outlet and inlet temperatures is taken as the inlet-outlet liquid temperature difference. It should be understood that each stator core unit corresponds to one inlet-outlet liquid temperature difference, reflecting the amount of temperature carried away by the coolant.

[0029] The fourth step is to collect the actual power of the motor in real time. Specifically, a power sensor can be used for data acquisition.

[0030] It should be noted that when a localized temperature anomaly is detected at a monitoring location of a unit stator core in a segmented motor, considering the mutual influence of heat dissipation between unit stator cores, this indicates that the localized heat dissipation effect of the unit stator core in the current segmented motor is poor. Therefore, the characteristic analysis process of the segmented thermal management scheme of this invention is performed. More specifically, the analysis process of this invention is performed when the temperature data at a certain monitoring location of a unit stator core in a segmented motor is greater than or equal to a preset temperature threshold. The temperature threshold can be 100℃, and the implementer can set it according to the specific implementation scenario.

[0031] In this embodiment, it is assumed that an abnormal temperature is detected at the current moment, and then the segmented thermal management of the segmented motor is performed based on the data at the current moment, as described in steps S200 to S400.

[0032] Step S200: Based on the difference in temperature data distribution characteristics between all monitoring locations of each pair of adjacent stator core units, and in combination with the gap temperature and the inlet / outlet liquid temperature difference, the stator core unit is segmented to obtain each characteristic segment.

[0033] Since the stator core of a modular motor is composed of multiple units, the gaps between adjacent units can easily form thermal resistance barriers. Furthermore, the temperature characteristics and heat dissipation capabilities of each unit differ, resulting in poor effectiveness of a unified heat dissipation strategy. Therefore, this embodiment considers precise segmentation based on the thermal correlation characteristics of adjacent stator core units, so that the same feature segment has similar temperature states and heat dissipation requirements, providing a data basis for subsequent segmented targeted control.

[0034] Specifically, the first step is to obtain the segmentation reference coefficient between each pair of adjacent stator cores based on the mean and variance of the temperature data at all monitoring locations for each unit stator core, combined with the differences in data characteristics between adjacent unit stator cores, as well as the gap temperature and the temperature difference between the inlet and outlet liquids.

[0035] As a concrete example, such as Figure 3 As shown, the method for obtaining the segmented reference coefficients can be implemented by steps S201 to S203.

[0036] Step S201: For any two adjacent stator cores, determine the gap high temperature factor corresponding to the two adjacent stator cores based on the gap temperature and the temperature difference between each inlet and outlet liquid.

[0037] Since heat usually travels from high-temperature areas to low-temperature areas, and the gap is the splicing seam of adjacent stator core units, under normal circumstances, the heat will be carried away through the unit stator core to the corresponding water flow channel.

[0038] If the gap temperature between two adjacent stator core units increases, it indicates that the heat generation of the stator core units on both sides may be excessive, for example, exceeding the heat dissipation capacity of the water flow channel. The gap may also have formed a thermal resistance barrier due to oxidation or contamination, preventing heat from being effectively conducted to the water flow channel, leading to heat accumulation in the gap. Therefore, a higher gap temperature means more severe local heat accumulation and a greater risk of high temperature. Based on this characteristic, the high-temperature factor of the gap between adjacent stator core units is assessed by combining the gap temperature and the temperature difference between the inlet and outlet liquids.

[0039] As a concrete example, the mean value of the inlet and outlet liquid temperature difference between two adjacent stator core units is calculated. The ratio between the gap temperature and the mean value of the inlet and outlet liquid temperature difference is then normalized to obtain the gap high temperature factor corresponding to the two adjacent stator core units. The normalization method can be the minimization normalization method, which is a well-known technique and will not be discussed further here.

[0040] The higher the gap temperature between two adjacent stator core units and the smaller the uniformity of the inlet and outlet liquid temperature difference, the higher the local temperature of the gap. Simultaneously, the heat dissipation capacity of the stator core units on both sides is poor, failing to effectively remove heat, leading to more severe heat accumulation and high temperatures. In this case, the gap high-temperature factor is larger. Conversely, the lower the gap temperature between two adjacent stator core units and the larger the uniformity of the inlet and outlet liquid temperature difference, the lower the local temperature of the gap. Simultaneously, the heat dissipation effect of the stator core units on both sides is better, and the water flow channel can remove more heat. In this case, the high-temperature phenomenon is weaker, and the gap high-temperature factor is smaller.

[0041] By quantitatively correlating the heat accumulation in the gap with the heat dissipation capacity of the unit, it directly reflects whether the gap has formed a continuous high temperature due to heat dissipation failure, measures the degree of high temperature performance in the gap, and provides a basis for judgment for subsequent segmented thermal management.

[0042] Step S202: Based on the differences between the mean and variance of the temperature data of each unit stator core at all monitoring locations, determine the heat correlation factor corresponding to two adjacent unit stator cores.

[0043] Considering that the purpose of segmenting the unit stator core is to enable the same degree of cooling treatment to unit stator cores with similar temperature states, the similarity and correlation of the temperature and heat states between adjacent unit stator cores are analyzed by comparing the characteristic differences of temperature data between two adjacent unit stator cores.

[0044] As a concrete example, the formula for calculating the heat correlation factor between the i-th stator core and the (i+1)-th stator core can be expressed as:

[0045] in, This represents the thermal correlation factor between the i-th stator core unit and the (i+1)-th stator core unit. This represents the average temperature data of all monitored locations of the i-th unit stator core at the current moment. This represents the average temperature data of all monitored locations of the (i+1)th unit stator core at the current moment. This represents the variance of the temperature data at all monitoring locations of the i-th unit stator core at the current moment. This represents the variance of the temperature data at all monitoring locations of the (i+1)th unit stator core at the current moment. This is the normalization function.

[0046] This represents the difference between the mean temperature data of adjacent stator core units, reflecting the temperature gradient between them. The variance of temperature data between adjacent stator core units represents the difference in the uniformity of temperature distribution between them. When the variance analysis results in both aspects are large, the similarity and correlation between their temperature and thermal states are smaller, and the corresponding thermal correlation factor value is smaller. Conversely, when the variance analysis results in both aspects are small, the similarity and correlation between their temperature and thermal states are greater, and the corresponding thermal correlation factor value is larger.

[0047] Step S203: The normalized value of the ratio between the heat correlation factor and the gap high temperature factor is used as the segmentation reference coefficient between each pair of adjacent stator core units.

[0048] For each pair of adjacent stator core units, the gap high temperature factor characterizes the degree of high temperature performance between the two adjacent stator core units. The larger the value, the greater the degree of high temperature performance, indicating that there is a greater possibility of a local thermal resistance barrier between the two. The thermal correlation factor characterizes the similarity of the temperature characteristic states between each pair of adjacent stator core units. The smaller the value, the greater the difference in temperature states between the two and the less similar they are. Dividing these two stator core units into the same segment for thermal management is less effective. When performing segmented thermal management, the thermal conductivity of adjacent cores will decrease, and the smaller the value of the corresponding segmentation reference coefficient, the better.

[0049] It should be noted that the normalization method is a well-known technique, and implementers can choose the appropriate method based on the specific implementation scenario. For example, the minimax normalization method can be used for processing.

[0050] The second step is to divide the two adjacent stator cores into the same feature segment when the segmentation parameter coefficient is greater than or equal to the preset segmentation threshold.

[0051] In this embodiment, the segmentation threshold is set to 0.6. In other embodiments, the implementer can set it according to the specific implementation scenario. When the segmentation parameter coefficient between two adjacent stator cores is greater than or equal to the segmentation threshold, it indicates that the two adjacent stator cores have similar temperature characteristics and can be divided into the same characteristic segment for segmented thermal management.

[0052] When the segmentation parameter coefficient between two adjacent stator cores is less than the segmentation threshold, it indicates that the temperature characteristic state between these two adjacent stator cores is significantly different and they are not suitable for being divided into the same characteristic segment for segmented thermal management.

[0053] It should be noted that all data involved in the feature analysis in this step are data at the current moment, with the aim of segmenting the stator core of the modular motor at the current moment.

[0054] Step S300: Based on the temperature data distribution characteristics of adjacent stator cores in each feature segment at all monitoring positions, and combined with the positional distribution between the monitoring positions and gaps of the stator cores, the overall heat dissipation index of each feature segment is obtained.

[0055] The heat dissipation capacity of adjacent stator cores within the same feature segment affects each other, and the heat conduction efficiency between stator cores directly determines whether the feature segment can efficiently dissipate heat through synergy. Therefore, it is necessary to quantify the overall heat dissipation capacity index within the segment and comprehensively evaluate the heat dissipation synergy and heat conduction efficiency of each unit within the segment, providing a core basis for formulating targeted control strategies.

[0056] Based on this, this step mainly evaluates the overall heat dissipation capacity of each feature segment through two aspects of feature analysis results. Firstly, as shown in steps S301 and S302 below, the heat dissipation capacity of adjacent stator core units is quantified by analyzing the differences in temperature characteristics of each stator core unit at adjacent time points. Secondly, as shown in steps S303 and S304 below, the heat conduction capacity of adjacent stator core units is quantified by combining the local distribution of different monitoring locations of each stator core unit with temperature characteristics. Specifically, as... Figure 4 As shown, the method for obtaining the overall heat dissipation index of each feature segment can be implemented by steps S301 to S305.

[0057] Step S301: Based on the mean and variance of the temperature of each unit stator core in each feature segment at all monitoring locations, obtain the temperature characteristic value of each unit stator core at the current moment and the temperature characteristic value at historical moments, where the historical moment represents the moment immediately preceding the current moment.

[0058] At the current moment, for any stator core unit in any feature segment, the product of the negative correlation coefficient and the mean of the temperature data from all monitoring locations is normalized to obtain the temperature characteristic value of any stator core unit in any feature segment. As a specific example, the variance of the temperature data from all monitoring locations of the a-th stator core unit in the r-th feature segment at the current moment is... The negative correlation coefficient can be expressed as , This represents an exponential function with the natural constant e as its base.

[0059] variance This reflects the uniformity distribution characteristics of the temperature data of the stator core within the characteristic segment. The smaller the value, the larger the negative correlation coefficient, indicating greater temperature uniformity. The mean value of the temperature data of the a-th stator core in the r-th characteristic segment at the current time is... It reflects the uniformity of temperature data distribution in the stator core of the unit within the characteristic segment. The larger the value, the greater the uniformity of temperature distribution.

[0060] The temperature characteristic value of each stator core unit within the characteristic segment describes the temperature level and temperature distribution uniformity of each stator core unit, comprehensively representing the temperature characteristic state.

[0061] It should be noted that when acquiring data, the parameter data of the previous time adjacent to the current time is obtained. The temperature characteristic value of the current time can be obtained by using the same acquisition method as the temperature characteristic value of the current time. In this embodiment, the previous time adjacent to the current time is recorded as the historical time.

[0062] Step S302: Based on the difference between the temperature characteristic values ​​of each stator core unit in each feature segment at the current time and at historical times, and the difference between the inlet and outlet liquid temperature differences, obtain the heat dissipation capacity index corresponding to each pair of adjacent stator core units in each feature segment.

[0063] The main purpose of this step is to analyze the changes in the inlet and outlet liquid temperature difference at adjacent time points to reflect the dynamic changes in heat dissipation effect for a single stator core unit. The differences in temperature characteristic values ​​at adjacent time points reflect the dynamic changes in temperature state characteristics. Combining these two aspects of change analysis to measure the unit's heat dissipation capacity, and then combining the heat dissipation capacity analysis results of adjacent stator core units, a comprehensive evaluation of the overall heat dissipation situation is conducted.

[0064] Specifically, for any stator core unit, the negative correlation coefficient between the temperature characteristic values ​​at the current time and historical time is used as the first coefficient; the difference between the inlet and outlet liquid temperature differences at the current time and historical time is used as the second coefficient; and the normalized result of the product of the first and second coefficients is used as the heat dissipation capacity factor of the stator core unit. The mean of the heat dissipation capacity factors of each pair of adjacent stator core units in each feature segment is the heat dissipation capacity index corresponding to each pair of adjacent stator core units in each feature segment.

[0065] As a concrete example, taking the stator core of the a-th unit within the r-th feature segment as an example, the method for obtaining the heat dissipation capacity factor can be expressed by the formula:

[0066] in, This represents the heat dissipation capacity factor of the stator core of the a-th unit within the r-th feature segment. This is the normalization function. As the second coefficient, , This represents the temperature difference between the inlet and outlet liquids of the stator core in the a-th unit within the r-th feature segment at the current moment. This represents the temperature difference between the inlet and outlet liquids of the stator core in the a-th unit within the r-th feature segment at a historical moment. This represents the difference between the temperature characteristic values ​​at the current time and those at historical times. , This represents the temperature characteristic value of the stator core of the a-th unit within the r-th characteristic segment at the current moment. This represents the temperature characteristic value of the stator core of the a-th unit within the r-th characteristic segment at a historical moment. t represents the t-th moment, which is the current moment, and t-1 represents the (t-1)-th moment, which is the historical moment. The denominator is incremented by 1 to prevent a denominator value of 0 from affecting the calculation result.

[0067] This reflects the dynamic changes in heat dissipation between the current moment and historical moments; the second coefficient. This reflects the temperature difference between the current moment and historical moments. When comparing the current moment with historical moments, the more significant the increase in inlet and outlet liquid temperature, the higher the coefficient. The larger the value of and the smaller the change in temperature characteristic value, the better the first coefficient. The larger the value of , the stronger the heat dissipation capacity of the unit stator core.

[0068] Furthermore, the average value of the heat dissipation capacity factor of two adjacent stator cores is calculated as the heat dissipation capacity index corresponding to these two adjacent stator cores, which characterizes the overall heat dissipation capacity performance between them.

[0069] It should be noted that, considering that the heat dissipation of adjacent stator cores is not isolated and their heat dissipation capabilities will affect each other, for example, a stator core with strong heat dissipation may assist an adjacent stator core with weak heat dissipation. Using the average value can more objectively reflect the synergistic heat dissipation effect between two adjacent stator cores, which is consistent with the logical feature of joint thermal management operations within the same feature segment.

[0070] It should be further explained that only the data from historical moments involved in step S302 are used to measure the changes in various characteristics between the current moment and historical moments.

[0071] Step S303: At the current moment, based on the gap temperature between every two adjacent stator cores in each feature segment, and combined with the distance between each monitoring position and the gap and the corresponding temperature data, obtain the thermal conductivity of each stator core in each feature segment.

[0072] Thermal conductivity characterizes the efficiency of heat transfer from each stator core unit within each characteristic segment to adjacent gaps. It can directly reflect whether the heat of the stator core unit can be smoothly conducted to the gaps and then dissipated through the gaps. This provides a data foundation for evaluating the synergistic thermal conductivity between adjacent stator core units and ultimately calculating the overall heat dissipation capacity within the entire characteristic segment.

[0073] Specifically, the first step is to designate any one unit stator core as the first characteristic core, and designate adjacent unit stator cores in the same characteristic segment of the first characteristic core as the second characteristic core.

[0074] As a specific embodiment, the stator core of unit a in the r-th feature segment is taken as the first feature core, and the stator core of unit a+1 in the r-th feature segment is taken as the second feature core.

[0075] The second step is to use the reciprocal of the distance between each monitoring position of the first characteristic iron core and the location of the gap between the first and second characteristic iron cores as the distance weighting coefficient for each monitoring position.

[0076] The gap location refers to the center position of the splice between two adjacent stator core units. The distance between the two different locations is obtained by calculating the Euclidean distance.

[0077] The third step is to use the ratio between the gap temperature between the first and second characteristic iron cores and the temperature data at each monitoring position of the first characteristic iron core as the temperature transfer characteristic value at each monitoring position.

[0078] The fourth step is to use the distance weighting coefficient to calculate the weighted average of the temperature transfer characteristic values ​​at each monitoring location of the first characteristic iron core, thereby obtaining the temperature thermal conductivity of the first characteristic iron core.

[0079] Considering that a single temperature detection point cannot represent the thermal state of the entire stator core, multi-point sampling can more comprehensively reflect the temperature characteristics of different locations within the stator core, avoiding biases in conductivity assessment caused by local anomalies. Furthermore, during the synthesis of temperature characteristics from all monitoring locations, the weight of heat transfer paths is incorporated, making the calculation results more closely resemble actual heat transfer patterns.

[0080] As a concrete example, the method for obtaining the thermal conductivity of the first characteristic core (to the second characteristic core) can be expressed by the formula:

[0081] in, Let represent the thermal conductivity of the first characteristic core (to the second characteristic core), t represent the current time, r represent the r-th characteristic segment, a represent the a-th stator core unit within the characteristic segment (i.e., the first characteristic core), and a+1 represent the a-th stator core unit within the characteristic segment (i.e., the second characteristic core). Indicates the number of monitoring locations. This represents the Euclidean distance between the m-th monitoring position of the first characteristic core and the center of the gap. These are the corresponding distance weighting coefficients; This indicates the temperature of the gap between the first and second characteristic iron cores at the current moment. This represents the temperature data of the first characteristic iron core at the m-th monitoring position at the current moment.

[0082] Heat naturally transfers from high-temperature regions to low-temperature regions; temperature transfer characteristic value A larger value indicates that heat is smoothly conducted from the monitoring location to the gap, and the gap temperature increases with the temperature at the monitoring location, indicating high heat transfer efficiency. A smaller value indicates that heat transfer is hindered during the process, such as the presence of local thermal resistance, preventing effective conduction to the gap and resulting in low transfer efficiency.

[0083] The heat transfer path between each monitoring location and the gap was characterized. A distance weighting coefficient was used. Weighted averages are applied, with shorter heat transfer paths resulting in less heat loss, thus receiving a larger weight and having a greater impact on the heat transfer efficiency from the stator core to the gap. Conversely, longer heat transfer paths result in greater heat loss during heat transfer, leading to a smaller weight and a smaller impact on the overall heat transfer efficiency.

[0084] Step S304: At the current moment, based on the thermal conductivity between two adjacent stator cores in each feature segment and the thermal correlation factor, obtain the thermal conductivity index corresponding to two adjacent stator cores in each feature segment.

[0085] The product of the sum of the thermal conductivity of the first and second characteristic iron cores and the thermal correlation factor between the first and second characteristic iron cores is normalized to obtain the thermal conductivity index corresponding to the first and second characteristic iron cores.

[0086] Thermal conductivity is the result of the combined effect of two adjacent stator core units. The higher the thermal conductivity of two adjacent stator core units, the easier it is for heat to be transferred to the gap. Furthermore, the larger the value of the thermal correlation factor, the stronger the thermal correlation. The more similar the temperature characteristics of two adjacent stator core units, the stronger the overall thermal conductivity. Summing directly adds the conduction contributions of the thermal correlation factor, highlighting the synergistic effect where stronger thermal conductivity in one unit leads to a stronger overall thermal conductivity.

[0087] Step S305: The average value between the products of the heat dissipation capacity index and the heat conduction capacity index in each feature segment is taken as the overall heat dissipation index of each feature segment.

[0088] The heat dissipation capacity index characterizes the heat dissipation capacity between two adjacent stator core units, while the heat conduction capacity index characterizes the heat conduction capacity between two adjacent stator core units. By combining the results of the feature analysis of these two aspects in a product form, the overall heat dissipation capacity performance of each feature segment is evaluated.

[0089] It should be understood that there is a product result between each pair of adjacent stator core units. For example, if a feature segment contains N stator core units, there are a total of N-1 product results. The average of these product results is used as the overall heat dissipation index of the feature segment, reflecting the overall heat dissipation capacity of the segment.

[0090] Step S400: Based on the overall heat dissipation index and temperature data of all characteristic segments, adjust the actual power of the motor; based on the overall heat dissipation index of each characteristic segment and the actual power of the motor, adjust the liquid flow rate data of the unit stator core of each characteristic segment to determine the segmented thermal management scheme.

[0091] For a characteristic section of a unit stator core, its real-time heat dissipation pressure is mainly affected by the real-time heat generation of the motor load and the overall heat dissipation capacity of the section. When the real-time heat generation of the motor load is higher and the overall heat dissipation capacity of the characteristic section is lower, the real-time heat dissipation pressure of the characteristic section is greater. At this time, the motor load should be appropriately reduced.

[0092] The heat dissipation pressure of the segmented stator core greatly affects the operation of the motor. That is, the greater the heat dissipation pressure of the characteristic sections on the segmented stator core, the lower the load on the motor should be. At the same time, the liquid flow rate of different water flow channels on the water jacket of the casing should be adjusted. For characteristic sections with high heat dissipation pressure, the cooling efficiency should be improved (heat dissipation), and for characteristic sections with low heat dissipation pressure, the cooling efficiency should be reduced (energy saving).

[0093] Based on this characteristic, the segmented thermal management scheme mainly involves two aspects: first, regulating the motor power to appropriately reduce the motor's operating load; and second, adjusting the liquid flow rate in the water channels of different characteristic sections on the water jacket of the casing.

[0094] Specifically, the first step is to calculate the product of the reciprocal of the overall heat dissipation index of each characteristic segment, the normalized value of the actual power, and the normalized value of the mean of all temperature data within the characteristic segment, and then perform normalization processing to obtain the power adjustment coefficient of each characteristic segment. The product of the ratio of the mean and the maximum value of the power adjustment coefficient of all characteristic segments and the actual power of the motor is taken as the degree of motor power adjustment, and the difference between the actual power of the motor at the current moment and the degree of motor power adjustment is taken as the adjusted motor power.

[0095] The higher the overall heat dissipation index of the characteristic segment, the stronger the heat dissipation capacity of the current segmented stator core, and the smaller the degree of adjustment required. In this case, the power regulation coefficient should be smaller. The higher the actual power value, the greater the current motor load, and the greater the degree of adjustment required. In this case, the power regulation coefficient should be larger. The higher the average temperature data of all stator core units within the characteristic segment at all monitoring locations, the more severe the heat accumulation state of the current characteristic segment, and the greater the degree of adjustment required. In this case, the power regulation coefficient should be larger. The power regulation coefficient characterizes the extent to which the motor power (i.e., the motor load) can be reduced.

[0096] It should be noted that the purpose of normalizing power and temperature is to keep the data within a consistent range, allowing for a more accurate measurement of the magnitude of power adjustments needed. This can be achieved using the z-score method. Meanwhile, the product can be normalized using the minimization normalization method.

[0097] Furthermore, considering that the characteristic segment with the largest power regulation coefficient is also more likely to be damaged by temperature, we use the average power regulation coefficient of all characteristic segments at the current moment and the proportion of the maximum power regulation coefficient. This involves adjusting the actual power of the motor. This represents the average power regulation coefficient across all characteristic segments at the current moment. This represents the maximum value of the power regulation coefficient for all characteristic segments at the current moment.

[0098] It should be noted that when the adjusted motor power value is not an integer, it can be processed by rounding. In other embodiments, a minimum power value can also be set as the lower limit of motor power operation to maintain normal motor operation; this is not a limitation here.

[0099] The second step is to record the product between the reciprocal of the overall heat dissipation index of each characteristic segment and the normalized value of the actual power as the characteristic product of each characteristic segment, and to use the sum of the normalized value of the characteristic product of each characteristic segment and the value 1 as the flow rate adjustment coefficient of each characteristic segment; and to use the product between the power adjustment coefficient of each characteristic segment and the liquid flow rate data of each unit stator core as the adjusted liquid flow rate of each unit stator core of each characteristic segment.

[0100] The smaller the overall heat dissipation index of the characteristic segment, the weaker the heat dissipation capacity of the current segmented stator core, the greater the heat dissipation pressure, and the greater the degree of adjustment required. The larger the actual power value, the greater the current motor load, the more heat is generated in the characteristic segment, the greater the heat dissipation pressure, and the greater the degree of adjustment required. At this time, the corresponding flow rate adjustment coefficient value is larger.

[0101] It should be noted that, similar to the analysis process for the power adjustment coefficient, the purpose of power normalization is to keep the data within a consistent range, enabling a more accurate measurement of the degree to which the liquid flow rate needs adjustment. This can be achieved using the z-score method. Furthermore, the normalization of the feature product for each feature segment can be performed using the minimization-max normalization method, which can be configured by the implementer according to the specific implementation scenario.

[0102] When the overall heat dissipation capacity within each feature segment is small and the current motor load is large, it is necessary to increase the liquid flow rate of the unit stator core within each feature segment in order to enhance the convective heat transfer efficiency by increasing the flow rate and specifically alleviate local high temperature.

[0103] It should be noted that in some embodiments, when the adjusted liquid flow rate of each stator core unit in each feature segment is not an integer, it can be processed by rounding, which will not be described in detail here. Additionally, in some embodiments, to avoid excessively high liquid flow rates, an upper limit for liquid flow rate control can be set. When the adjusted liquid flow rate exceeds the upper limit, the liquid flow rate of each stator core unit within each feature segment is adjusted to the upper limit.

[0104] By regulating the liquid flow rate, the core idea of ​​segmented thermal management—one strategy per characteristic segment—was realized. This solved the problem of uneven heat dissipation caused by structural differences in segmented iron cores, and further balanced heat dissipation effect and operating cost through dynamic adjustment, ultimately improving the overall thermal management efficiency of the motor.

[0105] In other embodiments, the temperature data of the unit stator core can be monitored in real time. When the temperature data of the unit stator core exceeds the maximum temperature that the segmented motor can withstand, the motor needs to be stopped and relevant personnel should be promptly notified to conduct an inspection. The next step can be carried out after the motor and stator core have completely cooled down. This will not be described in detail here.

[0106] In summary, this invention analyzes the temperature state of the gaps between segmented stator cores and the characteristic distribution of temperature data for individual stator cores to infer the thermal correlation characteristics between adjacent stator core units. This allows for the segmentation of stator core units with high thermal correlation into the same characteristic segment, achieving precise segmentation of the segmented stator core. Furthermore, the invention further analyzes the temperature data distribution of stator core units within each characteristic segment, quantifies the heat dissipation pressure of any stator core unit in any characteristic segment, and coordinates the motor load and coolant flow rate based on this heat dissipation pressure. This achieves precise segmented heat management and improves the motor's thermal management performance.

[0107] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A segmented thermal management system for a stator core structure of a block-type electric machine, comprising a memory and a processor, characterized in that, The processor executes the computer program stored in the memory to implement the following steps: At the current time, the liquid temperature difference at the inlet and outlet of the water flow channel of each unit stator core of the segmented motor, the liquid flow rate data, the temperature data at different monitoring positions, and the gap temperature between each adjacent two unit stator cores are obtained, and the actual power of the motor is obtained; According to the difference between the temperature data distribution characteristics of each adjacent two unit stator cores at all monitoring positions, combined with the gap temperature and the liquid temperature difference at the inlet and outlet, the unit stator core is segmented to obtain each characteristic segment; According to the temperature data distribution characteristics of each adjacent unit stator core in each characteristic segment at all monitoring positions, combined with the position distribution between the monitoring positions of the unit stator core and the gap, the overall heat dissipation index of each characteristic segment is obtained; According to the overall heat dissipation index and the temperature data of all characteristic segments, the actual power of the motor is adjusted, and according to the overall heat dissipation index of each characteristic segment combined with the actual power of the motor, the liquid flow rate data of the unit stator core of each characteristic segment is adjusted to determine the segmented thermal management scheme.

2. A segmented thermal management system for a stator core structure of a block-type electric machine according to claim 1, characterized in that, The difference between the temperature data distribution characteristics of each adjacent two unit stator cores at all monitoring positions, combined with the gap temperature and the liquid temperature difference at the inlet and outlet, the unit stator core is segmented to obtain each characteristic segment, specifically including: According to the mean and variance of the temperature data of each unit stator core at all monitoring positions, combined with the data feature difference between adjacent unit stator cores and the gap temperature and the liquid temperature difference at the inlet and outlet, the segmentation reference coefficient between each adjacent two unit stator cores is obtained; When the segmentation parameter coefficient is greater than or equal to the preset segmentation threshold, the two adjacent unit stator cores are divided into the same characteristic segment.

3. A segmented thermal management system for a segmented stator core structure of a block-type electric machine according to claim 2, characterized in that, The difference between the temperature data distribution characteristics of each adjacent two unit stator cores at all monitoring positions, combined with the gap temperature and the liquid temperature difference at the inlet and outlet, the unit stator core is segmented to obtain each characteristic segment, specifically including: For any two adjacent unit stator cores, based on the gap temperature and each liquid temperature difference at the inlet and outlet, the gap high temperature factor corresponding to the two adjacent unit stator cores is determined; Based on the difference between the mean and the difference between the variance of the temperature data of each unit stator core at all monitoring positions, the heat correlation factor corresponding to the two adjacent unit stator cores is determined; The normalized value of the ratio between the heat correlation factor and the gap high temperature factor is taken as the segmentation reference coefficient between each adjacent two unit stator cores.

4. A segmented thermal management system for a stator core structure of a block-type electric machine according to claim 3, characterized in that, The difference between the temperature data distribution characteristics of each adjacent two unit stator cores at all monitoring positions, combined with the gap temperature and the liquid temperature difference at the inlet and outlet, the unit stator core is segmented to obtain each characteristic segment, specifically including: According to the mean and variance of the temperature data of each unit stator core at all monitoring positions, combined with the data feature difference between adjacent unit stator cores and the gap temperature and the liquid temperature difference at the inlet and outlet, the segmentation reference coefficient between each adjacent two unit stator cores is obtained; When the segmentation parameter coefficient is greater than or equal to the preset segmentation threshold, the two adjacent unit stator cores are divided into the same characteristic segment. According to the difference between the temperature characteristic value of each unit stator core in each characteristic section at the current time and the historical time, and the difference between the inlet and outlet liquid temperature difference, the heat dissipation capacity index corresponding to each adjacent two unit stator cores in each characteristic section is obtained; At the current time, according to the gap temperature between each adjacent two unit stator cores in each characteristic section, in combination with the distance between each monitoring position and the gap and the corresponding temperature data, the temperature heat conductivity of each unit stator core in each characteristic section is obtained; At the current time, according to the temperature heat conductivity between each adjacent two unit stator cores in each characteristic section, in combination with the heat correlation factor, the heat conduction capacity index corresponding to each adjacent two unit stator cores in each characteristic section is obtained; The average of the product of the heat dissipation capacity index and the heat conduction capacity index in each characteristic section is taken as the overall heat dissipation index of each characteristic section.

5. A segmented thermal management system for a segmented stator core structure of a block-type electric machine according to claim 4, characterized in that, The temperature characteristic value of each unit stator core at the current time is obtained according to the temperature mean and variance of each unit stator core in each characteristic section at all monitoring positions, and specifically includes: At the current time, for any one unit stator core in any one characteristic section, the product of the negative correlation coefficient and the mean value of the variance of the temperature data of all monitoring positions is normalized to obtain the temperature characteristic value of any one unit stator core in any one characteristic section.

6. A segmented thermal management system for a stator core structure of a block-type electric machine according to claim 4, characterized in that, The heat dissipation capacity index corresponding to each adjacent two unit stator cores in each characteristic section is obtained according to the difference between the temperature characteristic value of each unit stator core in each characteristic section at the current time and the historical time, and the difference between the inlet and outlet liquid temperature difference, and specifically includes: For any one unit stator core, the negative correlation coefficient between the difference between the temperature characteristic values at the current time and the historical time is taken as the first coefficient; the difference between the inlet and outlet liquid temperature difference at the current time and the historical time is taken as the second coefficient; and the normalized result of the product of the first coefficient and the second coefficient is taken as the heat dissipation capacity factor of the unit stator core; The average of the heat dissipation capacity factors of each adjacent two unit stator cores in each characteristic section is the heat dissipation capacity index corresponding to each adjacent two unit stator cores in each characteristic section.

7. A segmented thermal management system for a stator core structure of a block-type electric machine according to claim 4, characterized in that, The temperature heat conductivity of each unit stator core in each characteristic section is obtained at the current time according to the gap temperature between each adjacent two unit stator cores in each characteristic section, in combination with the distance between each monitoring position and the gap and the corresponding temperature data, and specifically includes: Any one unit stator core is taken as a first characteristic core, and an adjacent unit stator core in the same characteristic section as the first characteristic core is taken as a second characteristic core; The reciprocal of the distance between each monitoring position of the first characteristic core and the position of the gap between the first characteristic core and the second characteristic core is taken as the distance weight coefficient of each monitoring position; The ratio between the gap temperature between the first characteristic core and the second characteristic core and the temperature data of each monitoring position of the first characteristic core is taken as the temperature transfer characteristic value of each monitoring position; The temperature heat conductivity of the first characteristic iron core is obtained by weighting and averaging the temperature transfer characteristic value of each monitoring position of the first characteristic iron core using the distance weight coefficient.

8. A segmented thermal management system for a stator core structure of a block-type electric machine according to claim 7, characterized in that, The heat conduction capacity index corresponding to each adjacent unit stator iron core in each characteristic section is obtained according to the temperature heat conductivity between each adjacent unit stator iron core in each characteristic section at the current moment, in combination with the heat correlation factor, and specifically includes: The product of the accumulation between the heat conductivities of the first characteristic iron core and the second characteristic iron core and the heat correlation factor between the first characteristic iron core and the second characteristic iron core is normalized to obtain the heat conduction capacity index corresponding to the first characteristic iron core and the second characteristic iron core.

9. A segmented thermal management system for a stator core structure of a block-type electric machine according to claim 1, characterized in that, The actual power of the motor is adjusted according to the overall heat dissipation index and the temperature data of all characteristic sections, and specifically includes: The product between the reciprocal of the overall heat dissipation index of each characteristic section, the normalized value of the actual power, and the normalized value of the mean of all temperature data in the characteristic section is calculated, and normalized processing is performed to obtain the power adjustment coefficient of each characteristic section. The product between the mean of the power adjustment coefficients of all characteristic sections and the proportion of the maximum value of the power adjustment coefficient and the actual power of the motor is taken as the motor power adjustment degree, and the difference between the actual power of the motor at the current moment and the motor power adjustment degree is taken as the adjusted motor power.

10. A segmented thermal management system for a stator core structure of a block-type electric machine according to claim 1, characterized in that, The liquid flow rate data of the unit stator iron core of each characteristic section is adjusted according to the overall heat dissipation index of each characteristic section in combination with the actual power of the motor, and specifically includes: The product between the reciprocal of the overall heat dissipation index of each characteristic section and the normalized value of the actual power is taken as the characteristic product of each characteristic section, and the accumulation of the normalized value of the characteristic product of each characteristic section and the value 1 is taken as the flow rate adjustment coefficient of each characteristic section. The product between the power adjustment coefficient of each characteristic section and the liquid flow rate data of each unit stator iron core is taken as the adjusted liquid flow rate of each unit stator iron core of each characteristic section.

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