Motor cooling system control device based on multi-parameter linkage

Abstract

The invention discloses a motor cooling system control device based on multi-parameter linkage, and relates to the technical field of data processing, and the device comprises an obtaining module which is used for obtaining a first environment temperature and a first motor rotating speed, and obtaining a first parameter; the first processing calculation module is used for acquiring a first interval time period, acquiring a second moment, acquiring a second motor rotating speed and acquiring a first prediction index; the first control adjusting module is used for obtaining a first water pump adjusting signal, obtaining a first motor temperature and a second environment temperature and obtaining a second parameter; the second processing calculation module is used for obtaining a second interval time period, obtaining a third moment, obtaining a second motor temperature and obtaining a second prediction index; and the second control adjusting module is used for correcting and generating a second water pump adjusting signal and adjusting water pump output according to the second water pump adjusting signal. The method has the advantages of predictability, dynamic adjustment, stability and reliability.

Description

Technical Field

[0001] The invention relates to the technical field of data processing, and in particular to a motor cooling system control device based on multi-parameter linkage. Background Art

[0002] With the continuous advancement of motor technology and the increasing expansion of its application fields, the heat dissipation problem of motors during operation has become increasingly prominent. The motor will generate a lot of heat when working. If the heat is not dissipated in time, it will seriously affect the working efficiency and service life of the motor, and may even cause damage to the motor or cause a safety accident. Therefore, the effective control of the motor cooling system has become a key issue that needs to be urgently solved in the field of motor technology. Traditional motor cooling systems mostly use fixed cooling strategies, such as fixed-speed water pumps or fans, and their output is usually adjusted according to the rated power of the motor or a preset temperature threshold. However, this fixed cooling strategy cannot adapt to changes in the actual working state and environmental conditions of the motor, resulting in poor cooling effect or energy waste.

[0003] In order to improve the shortcomings of traditional cooling systems, many intelligent cooling systems based on sensors and controllers have emerged in recent years. These systems can monitor key parameters such as motor temperature and speed in real time, and adjust the output of water pumps or fans according to these parameters to achieve more precise heat dissipation control. However, the existing intelligent cooling systems still have some limitations. On the one hand, most of the existing intelligent cooling systems only consider a single or a few parameters for adjustment, ignoring the comprehensive influence of multiple factors such as ambient temperature, motor speed, and water pump working efficiency on the heat dissipation effect. In fact, the heat dissipation effect of the motor is a complex process of multi-factor coupling, which requires comprehensive consideration of the changes and interactions of multiple parameters. On the other hand, the existing intelligent cooling system lacks dynamics and foresight in the adjustment process. Usually, it makes corresponding adjustments only after the motor temperature or speed changes, and cannot predict and adapt to these changes in advance, which leads to a delayed response of the cooling system and the inability to effectively control the temperature of the motor in a timely manner. Summary of the invention

[0004] In view of the defects in the prior art, the present invention provides a motor cooling system control device based on multi-parameter linkage.

[0005] A motor cooling system control device based on multi-parameter linkage includes: an acquisition module, which is used to acquire a first ambient temperature and a first motor speed at a first moment, and acquire a first parameter according to the first ambient temperature; a first processing and calculation module, which is used to acquire a first interval time period according to the first parameter, and acquire a second moment separated from the first moment by the first interval time period, and acquire a second motor speed at the second moment, and acquire a first prediction index based on a prediction model, the first motor speed, the second motor speed and the first parameter; a first control and adjustment module, which is used to acquire a first water pump adjustment signal according to the first prediction index, and adjust the water pump output according to the first water pump adjustment signal, and acquire the first motor temperature and the second ambient temperature at the water pump output time point, and acquire a second parameter according to the second ambient temperature; a second processing and calculation module, which is used to acquire a second interval time period according to the second parameter, and acquire a third moment separated from the water pump output time point by the second interval time period, and acquire the second motor temperature at the third moment, and acquire a second prediction index based on a feedback model, the first motor temperature, the second motor temperature and the second parameter; a second control and adjustment module, which is used to correct the first water pump adjustment signal according to the second prediction index and generate a second water pump adjustment signal, and adjust the water pump output according to the second water pump adjustment signal.

[0006] Optionally, the first processing and calculation module is further used to: obtain a proportionality coefficient; and obtain a first interval time period according to the proportionality coefficient and the first parameter.

[0007] Optionally, the second processing and calculation module is further used to: obtain a proportionality coefficient; and obtain a second interval time period according to the proportionality coefficient and a second parameter.

[0008] Optionally, the device also includes a correction module, which is used to: obtain a difference parameter based on the second prediction indicator and the first prediction indicator; correct the original proportional coefficient based on the difference parameter and obtain a new proportional coefficient, wherein the new proportional coefficient is used to replace the original proportional coefficient in subsequent operations of the first processing and calculation module and the second processing and calculation module.

[0009] Optionally, the difference parameter obtained according to the second prediction indicator and the first prediction indicator is expressed as: ;in, is the difference parameter, is the first prediction indicator, is the second prediction indicator.

[0010] Optionally, the original proportional coefficient is modified according to the difference parameter and a new proportional coefficient is obtained as: ;in, is the new proportionality factor, is the original proportionality factor.

[0011] Optionally, the first interval time period is obtained according to the proportional coefficient and the first parameter as follows: ;in, is the first interval time period, is the first parameter, is the proportionality coefficient.

[0012] Optionally, obtaining the first parameter according to the first ambient temperature is expressed as: ;in, is the first parameter, is the first ambient temperature, is the preset temperature.

[0013] Optionally, the prediction model in obtaining the first prediction index based on the prediction model, the first motor speed, the second motor speed and the first parameter is expressed as: ;in, is the first prediction indicator, is the first parameter, is the first motor speed, is the second motor speed, is the maximum motor speed, is the first influence coefficient, It is the standard cooling indicator.

[0014] Optionally, the feedback model in obtaining the second prediction index based on the feedback model, the first motor temperature, the second motor temperature and the second parameter is expressed as: ;in, is the second prediction indicator, is the second parameter, is the first motor temperature, is the second motor temperature, is the standard temperature of the motor, is the second influence coefficient, It is the standard cooling indicator.

[0015] The beneficial effects of the present invention are embodied in: In the whole motor cooling system control device based on multi-parameter linkage, firstly, the initial environmental data and motor state information during operation, such as the first ambient temperature and the first motor speed, are captured in real time by the acquisition module, and the first parameter is acquired according to the first ambient temperature. This first parameter is used as a quantitative index of the influence of ambient temperature on cooling efficiency, and provides basic data support for subsequent calculations and predictions, so that the adjustment of the cooling system is more in line with the actual environmental conditions. Secondly, the first processing and calculation module calculates the first interval time period using the first parameter, and obtains the second motor speed at the second moment, and calculates the first prediction index in combination with the prediction model. This index represents the trend of motor temperature change, and provides an accurate adjustment signal for the first control and adjustment module, so that the output of the water pump can adapt to the change of motor temperature in advance, and enhances the predictability of the cooling system. Furthermore, the second processing and calculation module calculates the second interval time period according to the second parameter obtained by the first control and adjustment module, which reflects the possible influence of the environmental conditions on the cooling efficiency after the water pump is adjusted, and obtains the second motor temperature at the third moment, and calculates the second prediction index in combination with the feedback model. This index provides the basis for the second control and adjustment module to correct the output of the water pump, so that the adjustment of the cooling system is more precise and accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for the specific embodiments or the description of the prior art. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn according to the actual scale.

[0017] Figure 1 It is a schematic diagram of some components of the motor cooling system control device based on multi-parameter linkage of the present invention.

[0018] Figure 2 It is a schematic diagram of the composition of the motor cooling system control device based on multi-parameter linkage of the present invention. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0020] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings. In addition, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0022] like Figure 1 As shown, a motor cooling system control device based on multi-parameter linkage is provided, comprising: An acquisition module, used to acquire a first ambient temperature and a first motor speed at a first moment, and acquire a first parameter according to the first ambient temperature; A first processing and calculation module, configured to obtain a first interval time period according to a first parameter, obtain a second moment separated from the first moment by the first interval time period, obtain a second motor speed at the second moment, and obtain a first prediction index based on a prediction model, the first motor speed, the second motor speed and the first parameter; A first control and adjustment module, used for obtaining a first water pump adjustment signal according to the first prediction index, adjusting the water pump output according to the first water pump adjustment signal, obtaining a first motor temperature and a second ambient temperature at a water pump output time point, and obtaining a second parameter according to the second ambient temperature; a second processing and calculation module, configured to obtain a second interval time period according to a second parameter, obtain a third moment separated from a water pump output time point by the second interval time period, obtain a second motor temperature at the third moment, and obtain a second prediction index based on a feedback model, the first motor temperature, the second motor temperature, and the second parameter; The second control and regulation module is used to correct the first water pump regulation signal according to the second prediction index and generate a second water pump regulation signal, and regulate the water pump output according to the second water pump regulation signal.

[0023] In this embodiment, it should be noted that in the acquisition module, the initial environmental data and motor status information during operation are accurately captured. Specifically, the acquisition module accurately obtains the current ambient temperature at the first moment through a built-in sensor or an external data interface, which is referred to as the first ambient temperature. At the same time, it also monitors the motor speed in real time and records the motor speed at this moment, which is referred to as the first motor speed. The acquisition module is not only satisfied with collecting these raw data, but will further obtain a first parameter associated with the ambient temperature based on the first ambient temperature through a preset algorithm or by looking up the corresponding parameter table. This first parameter may be a quantitative indicator of the impact of ambient temperature on cooling efficiency, or a benchmark value for subsequent calculation of time intervals, providing basic data support for dynamic adjustment.

[0024] For example, the acquisition module uses the ambient temperature sensor installed on the vehicle to accurately measure the current ambient temperature, which is called the first ambient temperature. At the same time, the acquisition module also uses the motor speed sensor to monitor the motor speed in real time and record the motor speed at this moment, which is the first motor speed. In addition, the acquisition module also obtains a first parameter closely related to the current ambient temperature based on the first ambient temperature. This first parameter is a key factor for predicting the future heat dissipation demand of the motor. It can indicate the cooling demand of the motor or the time point of cooling intervention under the current ambient temperature.

[0025] In the first processing and calculation module, a series of complex calculations and predictions are performed according to the initial data provided by the acquisition module to provide a decision-making basis for subsequent cooling adjustments. Specifically, the first processing and calculation module will first receive the first parameter from the acquisition module. This parameter is obtained based on the first ambient temperature through a preset algorithm or parameter table, reflecting the possible impact of ambient temperature on cooling efficiency. Then, the first processing and calculation module will use this first parameter, combined with the built-in proportional coefficient, to calculate the first interval time period. This time period determines when to obtain data such as motor speed again in order to perform the next step of prediction and adjustment. After the first interval time period ends, the first processing and calculation module will obtain the second motor speed at the second moment, and combine the first motor speed, the prediction model and the first parameter to calculate the first prediction index. This first prediction index represents the trend of motor temperature change, directly determines the output of the water pump that needs to be adjusted for cooling, that is, to provide an accurate adjustment signal for the first control and adjustment module.

[0026] Taking new energy vehicles as an example, the working process of the first processing and calculation module can be described as follows: Assuming that the vehicle is driving, the acquisition module has measured that the current ambient temperature is 30 degrees Celsius and the motor speed is 1500 rpm, and a first parameter related to the ambient temperature is obtained accordingly. After receiving this first parameter, the first processing and calculation module will calculate that the first interval time period is 30 seconds based on the built-in proportional coefficient (for example, the interval time period is shortened by 10 seconds for every 5 degrees Celsius increase in ambient temperature). 30 seconds later, that is, at the second moment, the first processing and calculation module obtains the motor speed again, assuming that the motor speed increases to 1800 rpm at this time. Then, the first processing and calculation module will use the prediction model, combined with the first motor speed, the second motor speed and the first parameter, to calculate the first prediction index. For example, if the first prediction index is large, it means that the temperature may rise rapidly due to the increase in motor speed in the future. This prediction index is then passed to the first control and regulation module to adjust the output of the water pump to respond to the rise in motor temperature in advance and ensure that the motor always runs within the optimal operating temperature range.

[0027] In the first control and regulation module, according to the prediction index provided by the first processing and calculation module, a corresponding water pump adjustment signal is generated, and the output of the water pump is adjusted in real time to ensure that the motor temperature is effectively controlled. Specifically, after receiving the first prediction index from the first processing and calculation module, the first control and regulation module will immediately interpret this index. The first prediction index represents the trend of the motor temperature change, and in order to maintain the motor within the optimal operating temperature range, based on this prediction index, the first control and regulation module will generate an accurate first water pump adjustment signal, which contains specific parameters that the water pump needs to adjust, such as speed, flow, etc., to meet the output that the water pump needs to adjust. Subsequently, the first control and regulation module will send this adjustment signal to the water pump controller, instructing the water pump to adjust according to the predetermined parameters. At the same time, after the water pump starts to run according to the new adjustment signal, that is, the water pump output time point, the first control and regulation module will also obtain the first motor temperature and the second ambient temperature at this time through the corresponding sensor. The acquisition of the second ambient temperature is to obtain a second parameter associated with the ambient temperature according to the current environmental conditions through a preset algorithm or parameter table, and this second parameter will be used for further calculation and prediction in the subsequent second processing and calculation module.

[0028] Taking new energy vehicles as an example, it is assumed that the first processing and calculation module has predicted that the motor temperature may rise rapidly in the future based on parameters such as ambient temperature and motor speed, and has calculated a larger first prediction index based on this. After receiving this prediction index, the first control and regulation module will immediately generate a corresponding water pump adjustment signal, such as increasing the water pump speed by 20% to increase the flow of the cooling system and respond to the rise in motor temperature in advance. Subsequently, the water pump controller adjusts the output of the water pump according to this adjustment signal and starts to run at a higher speed. When the water pump runs according to the new adjustment signal, that is, the water pump output time point, the first control and regulation module will obtain the first motor temperature and the second ambient temperature at this time through the temperature sensor installed on the vehicle. At this time, the first motor temperature is 35 degrees Celsius, and the second ambient temperature has also changed, from 30 degrees Celsius to 30.5 degrees Celsius. The first control and regulation module will obtain a second parameter associated with the current ambient temperature based on this new ambient temperature through a preset algorithm or parameter table, and provide necessary data support for the subsequent second processing and calculation module, so as to further adjust and optimize the cooling system.

[0029] In the second processing and calculation module, it is responsible for further calculation and prediction based on the actual feedback after the water pump is adjusted to optimize the cooling control strategy. Specifically, the second processing and calculation module will first receive the second parameter obtained by the first control and adjustment module. This second parameter reflects the possible impact of the current environmental conditions on the cooling efficiency and is the basis for subsequent calculations. Then, the second processing and calculation module will use this second parameter, combined with the built-in proportional coefficient, to calculate the second interval time period. This time period determines when to obtain data such as motor temperature again for the next step of feedback and adjustment. After the second interval time period ends, the second processing and calculation module will obtain the second motor temperature at the third moment, and combine the first motor temperature, feedback model and second parameter to calculate the second prediction index. This second prediction index reflects the actual change in the motor temperature after the water pump is adjusted, and whether the water pump output needs to be further adjusted to maintain the motor within the optimal operating temperature range.

[0030] Taking new energy vehicles as an example, it is assumed that after the water pump runs for a period of time according to the adjustment signal generated by the first control and adjustment module, that is, at the water pump output time point, the first control and adjustment module has obtained the first motor temperature of 35 degrees Celsius and the second ambient temperature of 30.5 degrees Celsius at this time, and accordingly obtains a second parameter related to the ambient temperature. After receiving this second parameter, the second processing and calculation module will calculate the second interval time period as 25 seconds according to the built-in proportional coefficient (for example, the interval time period is shortened by 5 seconds for every 0.5 degrees Celsius increase in ambient temperature). 25 seconds later, that is, at the third moment, the second processing and calculation module obtains the temperature of the motor again, assuming that the motor temperature has dropped to 33 degrees Celsius at this time. Then, the second processing and calculation module will use the feedback model to combine the first motor temperature, the second motor temperature and the second parameter to calculate the second prediction index. If the second prediction index indicates that the current water pump output is sufficient to cope with the heat dissipation requirements of the motor, and may even cause the motor temperature to be too low, then the second processing and calculation module will generate a corresponding signal for the subsequent second control and adjustment module to adjust the water pump output to ensure that the motor always operates within the optimal operating temperature range while avoiding energy waste.

[0031] In the second control and regulation module, the output of the water pump is finely adjusted according to the second prediction index provided by the second processing and calculation module to ensure that the motor temperature is always maintained within the optimal working range. Specifically, the second control and regulation module will receive the second prediction index from the second processing and calculation module. This index is calculated by the feedback model based on the actual feedback after the water pump is adjusted, reflecting the actual change of the motor temperature and possible future trends. The second control and regulation module will conduct an in-depth analysis of this index to determine whether the current water pump output meets the heat dissipation requirements of the motor. If the second prediction index shows that the current water pump output is too high, it may cause the motor temperature to be too low, resulting in energy waste; or the water pump output is too low and cannot effectively control the increase in motor temperature, then the second control and regulation module will generate a corresponding correction signal based on this index, that is, the second water pump adjustment signal. This second water pump adjustment signal will accurately adjust the speed, flow rate and other parameters of the water pump based on the deviation between the second prediction index and the ideal heat dissipation state to meet the actual heat dissipation requirements of the motor. Subsequently, the second control and regulation module will send this corrected water pump adjustment signal to the water pump controller, instructing the water pump to adjust according to the new parameters, thereby achieving accurate control of the motor temperature.

[0032] Taking new energy vehicles as an example, suppose that after a series of calculations and predictions are performed in the second processing and calculation module, a second prediction indicator is obtained, indicating that the current water pump output is too high, causing the motor temperature to decline and may be lower than the optimal operating temperature range. After receiving this prediction indicator, the second control and regulation module will immediately generate a corresponding correction signal, such as reducing the water pump speed by 10% to reduce the cooling flow and avoid the motor temperature being too low. Subsequently, the water pump controller adjusts the output of the water pump according to this corrected regulation signal and starts to run at a lower speed.

[0033] In summary, in the entire motor cooling system control device based on multi-parameter linkage, first, the acquisition module captures the initial environmental data and motor state information during the operation process in real time, such as the first ambient temperature and the first motor speed, and obtains the first parameter according to the first ambient temperature. This first parameter is used as a quantitative indicator of the influence of the ambient temperature on the cooling efficiency, which provides basic data support for subsequent calculations and predictions, so that the adjustment of the cooling system is more in line with the actual environmental conditions. Secondly, the first processing and calculation module calculates the first interval time period using the first parameter, and obtains the second motor speed at the second moment, and calculates the first prediction index in combination with the prediction model. This index represents the trend of the motor temperature change, and provides an accurate adjustment signal for the first control and adjustment module, so that the output of the water pump can adapt to the change of the motor temperature in advance, and enhances the predictability of the cooling system. Furthermore, the second processing and calculation module calculates the second interval time period according to the second parameter obtained by the first control and adjustment module, which reflects the possible influence of the environmental conditions on the cooling efficiency after the water pump is adjusted, and obtains the second motor temperature at the third moment, and calculates the second prediction index in combination with the feedback model. This index provides the basis for the second control and adjustment module to correct the output of the water pump, so that the adjustment of the cooling system is more precise and accurate.

[0034] In one embodiment, the first processing and computing module is further configured to: Get the scale factor; A first interval time period is obtained according to the proportional coefficient and the first parameter.

[0035] In this embodiment, it should be noted that in the entire first processing and calculation module, a proportional coefficient will first be obtained. This proportional coefficient is a preset value, which is determined according to the design requirements and actual application scenarios of the entire motor system, and represents the linear relationship between the ambient temperature change and the data acquisition time interval. For example, a proportional coefficient can be selected based on historical data, the model of the motor, experimental data or experience, so that when the ambient temperature rises by a certain value, the data acquisition time interval will be shortened accordingly, so as to monitor the motor status more frequently, so as to respond to possible temperature changes and cooling needs more promptly.

[0036] After obtaining the proportional coefficient, the first processing and calculation module will use this coefficient and the first parameter transmitted from the acquisition module to calculate the first interval time period. The first parameter is obtained based on the first ambient temperature through a preset algorithm or parameter table, which reflects the potential impact of the current ambient temperature on the cooling efficiency or the motor temperature change. The first processing and calculation module combines the proportional coefficient with the first parameter and obtains the specific value of the first interval time period through certain mathematical operations. This time period determines when the system will obtain data such as the motor speed again in order to make the next prediction and adjustment.

[0037] For example, if the proportional coefficient is set so that the interval time period is shortened by 10 seconds for every 5 degrees Celsius increase in ambient temperature, and the first parameter indicates that the current ambient temperature is 10 degrees Celsius higher than the reference temperature, then the first processing and calculation module will calculate the first interval time period to be 20 seconds shorter than the default time based on the proportional coefficient and the first parameter, thereby responding more quickly to possible changes in motor temperature and ensuring that the cooling system can work in a timely and effective manner.

[0038] In one embodiment, the second processing and computing module is further used for: Get the scale factor; The second interval time period is acquired according to the proportional coefficient and the second parameter.

[0039] In this embodiment, it should be noted that the second processing and calculation module is different from the first processing and calculation module in that the second processing and calculation module calculates and predicts based on the actual feedback after the water pump is adjusted. Specifically, the second processing and calculation module first obtains a preset proportional coefficient, which is the same as the proportional coefficient in the first processing and calculation module and is also determined according to the design characteristics and actual application requirements of the motor system. After obtaining the proportional coefficient, the second processing and calculation module calculates the second interval time period in combination with the second parameter transmitted from the first control and adjustment module. This second parameter is based on the second ambient temperature obtained at the output time point of the water pump, obtained by a preset algorithm or parameter table, which reflects the new impact of the current environmental conditions on the cooling efficiency after the water pump is adjusted. Unlike the first processing and calculation module, the second processing and calculation module obtains the second interval time period through the comprehensive calculation of the proportional coefficient and the second parameter, which is more in line with the actual heat dissipation requirements after the water pump is adjusted, so that the system can obtain data such as the motor temperature again at a more appropriate time point, and perform the next step of feedback and fine adjustment, thereby ensuring that the motor temperature is always maintained within the optimal working range.

[0040] like Figure 2 As shown, in one embodiment, the device further includes a correction module, wherein the correction module is used to: Obtaining a difference parameter according to the second prediction indicator and the first prediction indicator; The original proportional coefficient is corrected according to the difference parameter and a new proportional coefficient is obtained, wherein the new proportional coefficient is used to replace the original proportional coefficient in subsequent operations of the first processing and calculation module and the second processing and calculation module.

[0041] In this embodiment, it should be noted that, first, the correction module accurately calculates the difference parameter by comparing the second prediction index with the first prediction index. In this process, the second prediction index reflects the actual change trend of the motor temperature after the water pump is adjusted, while the first prediction index represents the change trend initially predicted based on the ambient temperature and the motor speed change. The correction module can quantify the deviation between the actual heat dissipation effect and the expected heat dissipation effect, that is, the difference parameter, by deeply analyzing the difference between the two prediction indicators. This difference parameter is the basis for dynamically adjusting the proportional coefficient, which directly reflects the effectiveness and accuracy of the current cooling system control strategy.

[0042] Secondly, the correction module corrects the original proportional coefficient according to the calculated difference parameter to obtain a new proportional coefficient. This is significantly different from the way the proportional coefficient is used in the first processing and calculation module. In the first processing and calculation module, the proportional coefficient is a relatively fixed parameter used to adjust the time interval for data acquisition according to changes in ambient temperature, and its setting is mainly based on historical data or experience. The correction module dynamically adjusts the proportional coefficient through a real-time feedback mechanism, so that the cooling system can adapt to the changing operating environment and motor status more flexibly. The new proportional coefficient takes into account the difference between the actual heat dissipation effect and the expected one. Therefore, in the subsequent operations of the first processing and calculation module and the second processing and calculation module, the use of this new proportional coefficient can more accurately predict the changing trend of the motor temperature and adjust the water pump output more timely, thereby significantly improving the control accuracy and response speed of the cooling system. This dynamic adjustment mechanism is a unique function of the correction module and is also the key to improving the intelligence and adaptability of the entire cooling system.

[0043] In one embodiment, the difference parameter is obtained according to the second prediction index and the first prediction index as follows: ;in, is the difference parameter, is the first prediction indicator, is the second prediction indicator.

[0044] In this embodiment, it should be noted that if If it is close to zero, it means that the prediction model is accurate, the control strategy is effective, and the output adjustment of the water pump matches the changing trend of the motor temperature. If it is larger or smaller, it means that the prediction model or control strategy is biased and needs to be adjusted to better suit the actual operating conditions.

[0045] at the same time The positive or negative value of directly reflects the direction of the difference between the forecast and the actual situation. >0, it means that the first prediction index is higher than the second prediction index, that is, the expected cooling demand is overestimated; this may mean that the water pump output adjustment is too aggressive, resulting in low motor temperature or energy waste; therefore, the output adjustment speed of the water pump can be slowed down by reducing the proportional coefficient. When <0, it means that the first prediction indicator is lower than the second prediction indicator, that is, the expected heat dissipation demand is underestimated; this may mean that the water pump output is insufficiently adjusted and the motor temperature rise cannot be effectively controlled; therefore, the output adjustment speed of the water pump can be accelerated by increasing the proportional coefficient.

[0046] In one embodiment, the original proportional coefficient is corrected according to the difference parameter and a new proportional coefficient is obtained, which is expressed as: ;in, is the new proportionality factor, is the original proportionality factor.

[0047] In this embodiment, it should be noted that the original proportionality coefficient It is set based on historical data, motor model or experience, and is used to adjust the time interval for data acquisition according to changes in ambient temperature. Based on the original proportional coefficient, according to the difference parameter The corrected formula is , that is, the new proportional coefficient is equal to the original proportional coefficient plus the difference parameter.

[0048] The positive or negative sign and size of the difference parameter directly reflect the direction and degree of the difference between the forecast and the actual situation. When >0, it means that the expected cooling demand is overestimated and the pump output adjustment is too aggressive; by reducing the proportional coefficient (i.e. < ), can slow down the output adjustment speed of the water pump to avoid low motor temperature or energy waste. <0, indicating that the expected cooling demand is underestimated and the pump output is under-adjusted; by increasing the proportional coefficient (i.e. > ), which can speed up the output adjustment of the water pump and effectively control the temperature rise of the motor. This method of dynamically adjusting the proportional coefficient according to the difference parameter can optimize the control strategy and make the cooling system work more efficiently.

[0049] In one embodiment, obtaining the first interval time period according to the proportional coefficient and the first parameter is expressed as: ;in, is the first interval time period, is the first parameter, is the proportionality coefficient.

[0050] In this embodiment, it should be noted that the proportionality coefficient With the first parameter Multiply to get the first interval time period This multiplication operation is set so that the first interval time period The effect of ambient temperature changes is taken into account (through the proportionality coefficient ), and also considers the specific impact of the current ambient temperature on the cooling efficiency (through the first parameter ).

[0051] By dynamically adjusting the data acquisition time interval according to the ambient temperature and motor status, the system can monitor the changing trend of the motor temperature more timely. This enables the system to obtain the necessary data before the motor temperature changes significantly, so as to make predictions and adjustments in advance, thus enhancing the predictability of the cooling system.

[0052] Similarly, the second interval time period is obtained according to the proportional coefficient and the second parameter as follows: ;in, is the first interval time period, is the first parameter, is the proportionality coefficient.

[0053] In one embodiment, obtaining the first parameter according to the first ambient temperature is expressed as: ;in, is the first parameter, is the first ambient temperature, is the preset temperature.

[0054] In this embodiment, it should be noted that: (*) is an exponential function, and its value increases rapidly as the variable increases. This characteristic is suitable for describing the nonlinear effect of ambient temperature on cooling efficiency. In the motor cooling system, the cooling efficiency may drop significantly in high temperature environments, and the water pump output needs to be adjusted more frequently. (*) can capture this nonlinear relationship well. Subtract the first ambient temperature Then divide by the preset temperature , and a normalized temperature value is obtained ; This normalized value makes the calculations under different ambient temperatures comparable. No matter what the actual ambient temperature is, a relative value can be obtained through normalization for subsequent calculations; It is the maximum temperature that the external environment of the motor can reach, which can be obtained from existing data such as meteorological information. Directly affects the time interval in subsequent calculations (such as the first interval time period ); when the measured first ambient temperature is high, that is, close to , Smaller, so is also smaller, which means that the ambient temperature is close to the maximum and the cooling demand may be high, so the system will fetch data more frequently (because shorter), so as to monitor and adjust the motor temperature more timely; on the contrary, when the ambient temperature is low, Larger, so is also larger, the frequency of system data acquisition will decrease (because Larger) to save energy and reduce unnecessary adjustments.

[0055] In one embodiment, the prediction model in obtaining the first prediction index based on the prediction model, the first motor speed, the second motor speed and the first parameter is expressed as: ;in, is the first prediction indicator, is the first parameter, is the first motor speed, is the second motor speed, is the maximum motor speed, is the first influence coefficient, It is the standard cooling indicator.

[0056] In this embodiment, it should be noted that: The purpose is to capture the nonlinear effect of motor speed changes. First, the speed difference is calculated , which represents the change in motor speed at two different times; then, normalization is performed, dividing the speed difference by the maximum speed , and obtain the normalized speed change rate, which can ensure the consistency of comparison between different motors (with different maximum speeds); finally, perform exponential operation on the normalized speed change rate. The exponential function can amplify small changes, so that when the speed change rate is small, the change of the prediction index is also more sensitive, and when the speed change rate is large, the change of the prediction index will be more significant. This setting can better reflect the nonlinear effect of motor speed change on heat dissipation demand, thereby improving the accuracy of prediction.

[0057] Furthermore, the linear transformation part The purpose is to adjust the range of the exponential function output to make it more suitable for subsequent prediction index calculations. The exponential function output is subtracted by 1. This is to adjust the output range of the exponential function from [1, +∞) to [0, +∞) so that when the speed does not change (i.e. = N2), the output of this part is 0. In which, divided by the first influence coefficient Used to adjust the sensitivity of this part. It can be adjusted according to the actual application scenario. Generally, With standard cooling indicators The linear transformation part can make the prediction model more flexible and adapt to the needs of different motors and application scenarios. , the prediction performance of the model can be optimized to more accurately reflect the impact of motor speed changes on cooling requirements.

[0058] Furthermore, standard cooling indicators are added The purpose is to provide a baseline cooling index, indicating the cooling requirement under normal conditions (i.e. when the speed does not change). Calculation process: Directly Added to the output of the linear transformation. The introduction of enables the prediction model to provide a reasonable cooling index even when there is no speed change, which helps to ensure that the cooling system can maintain appropriate cooling output even when the motor is running stably, avoiding over-cooling or under-cooling.

[0059] Furthermore, multiplying by the first parameter It is used to consider the impact of ambient temperature on cooling efficiency, reflecting the impact of ambient temperature on cooling efficiency, so that the prediction model can dynamically adjust the prediction indicators to better meet the cooling needs under current environmental conditions. This setting enhances the adaptability of the cooling system, enabling it to more effectively control the motor temperature under different ambient temperatures.

[0060] In one embodiment, the feedback model in obtaining the second prediction index based on the feedback model, the first motor temperature, the second motor temperature, and the second parameter is expressed as: ;in, is the second prediction indicator, is the second parameter, is the first motor temperature, is the second motor temperature, is the standard temperature of the motor, is the second influence coefficient, It is the standard cooling indicator.

[0061] In this embodiment, it should be noted that: The purpose is to capture the nonlinear effects of motor temperature changes. First, calculate , which represents the change in motor temperature at two different times; then, normalization is performed, dividing the temperature difference by the motor standard temperature , and obtain the normalized temperature change rate, which can ensure the consistency of comparison between different motors (with different standard temperatures); finally, perform exponential operation on the normalized temperature change rate, which is similar to the exponential operation in the prediction model. The exponential function can amplify small temperature changes, so that when the temperature change rate is small, the change of the prediction index is also more sensitive; and when the temperature change rate is large, the change of the prediction index will be more significant, thereby improving the accuracy of the feedback model.

[0062] Furthermore, the linear transformation part The purpose of is to adjust the range of the exponential function output to make it more suitable for the subsequent prediction index calculation; first, the output range of the exponential function is adjusted from [1, +∞) to [0, +∞) so that when the temperature does not change (i.e. = ), the output of this part is 0. Divided by the second influence coefficient It is used to adjust the sensitivity of the linear transformation part. It can be adjusted according to the actual application scenario to control the impact of temperature changes on the prediction indicators. Similarly, in general, With standard cooling indicators The linear transformation part can make the feedback model more flexible and adapt to the needs of different motors and application scenarios. , the prediction performance of the model can be optimized to more accurately reflect the impact of motor temperature changes on cooling requirements.

[0063] Furthermore, standard cooling indicators are added The purpose is to provide a baseline cooling index that represents the cooling requirement under normal conditions (i.e. when the temperature does not change). This allows the feedback model to provide a reasonable cooling index even when there is no temperature change, which helps ensure that the cooling system maintains appropriate cooling output when the motor is running steadily, avoiding over-cooling or under-cooling.

[0064] Furthermore, multiply by the second parameter , the purpose is to consider the impact of environmental conditions on cooling efficiency after water pump adjustment. It is the second ambient temperature obtained based on the pump output time point, obtained through a preset algorithm or parameter table, and reflects the impact of the current ambient conditions on the cooling efficiency after the pump is adjusted. , the feedback model can dynamically adjust the prediction index to make it more consistent with the actual cooling demand after the water pump is adjusted. This setting enhances the adaptability of the cooling system, enabling it to effectively control the motor temperature under different environmental conditions.

[0065] The preferred embodiments of the present disclosure are described in detail above in conjunction with the accompanying drawings; however, the present disclosure is not limited to the specific details in the above embodiments. Within the technical concept of the present disclosure, a variety of simple modifications can be made to the technical solution of the present disclosure, and these simple modifications all fall within the protection scope of the present disclosure.

[0066] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present disclosure will not further describe various possible combinations.

[0067] In addition, various embodiments of the present disclosure may be arbitrarily combined, and as long as they do not violate the concept of the present disclosure, they should also be regarded as the contents disclosed by the present disclosure.

[0068] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

Claims

1. A motor cooling system control device based on multi-parameter linkage, characterized in that: include: An acquisition module, used to acquire a first ambient temperature and a first motor speed at a first moment, and acquire a first parameter according to the first ambient temperature; A first processing and calculation module, configured to obtain a first interval time period according to a first parameter, obtain a second moment separated from the first moment by the first interval time period, obtain a second motor speed at the second moment, and obtain a first prediction index based on a prediction model, the first motor speed, the second motor speed and the first parameter; A first control and adjustment module, used for obtaining a first water pump adjustment signal according to the first prediction index, adjusting the water pump output according to the first water pump adjustment signal, obtaining a first motor temperature and a second ambient temperature at a water pump output time point, and obtaining a second parameter according to the second ambient temperature; a second processing and calculation module, configured to obtain a second interval time period according to a second parameter, obtain a third moment separated from a water pump output time point by the second interval time period, obtain a second motor temperature at the third moment, and obtain a second prediction index based on a feedback model, the first motor temperature, the second motor temperature, and the second parameter; The second control and regulation module is used to correct the first water pump regulation signal according to the second prediction index and generate a second water pump regulation signal, and regulate the water pump output according to the second water pump regulation signal.

2. The motor cooling system control device based on multi-parameter linkage according to claim 1, characterized in that: The first processing and computing module is also used for: Get the scale factor; A first interval time period is obtained according to the proportional coefficient and the first parameter.

3. The motor cooling system control device based on multi-parameter linkage according to claim 2 is characterized in that: The second processing and computing module is also used for: Get the scale factor; The second interval time period is acquired according to the proportional coefficient and the second parameter.

4. The motor cooling system control device based on multi-parameter linkage according to claim 3 is characterized in that: It also includes a correction module, the correction module is used to: Obtaining a difference parameter according to the second prediction indicator and the first prediction indicator; The original proportional coefficient is corrected according to the difference parameter and a new proportional coefficient is obtained, wherein the new proportional coefficient is used to replace the original proportional coefficient in subsequent operations of the first processing and calculation module and the second processing and calculation module.

5. The motor cooling system control device based on multi-parameter linkage according to claim 4 is characterized in that: The difference parameter obtained according to the second prediction index and the first prediction index is expressed as: ;in, is the difference parameter, is the first prediction indicator, is the second prediction indicator.

6. The motor cooling system control device based on multi-parameter linkage according to claim 5, characterized in that: The method of correcting the original proportional coefficient according to the difference parameter and obtaining a new proportional coefficient is expressed as: ;in, is the new proportionality factor, is the original proportional coefficient.

7. The motor cooling system control device based on multi-parameter linkage according to claim 3, characterized in that: The method of obtaining the first interval time period according to the proportional coefficient and the first parameter is expressed as: ;in, is the first interval time period, is the first parameter, is the proportionality coefficient.

8. The motor cooling system control device based on multi-parameter linkage according to claim 1, characterized in that: The obtaining of the first parameter according to the first ambient temperature is expressed as: ;in, is the first parameter, is the first ambient temperature, is the preset temperature.

9. The motor cooling system control device based on multi-parameter linkage according to claim 1, characterized in that: The prediction model in obtaining the first prediction index based on the prediction model, the first motor speed, the second motor speed and the first parameter is expressed as: ;in, is the first prediction indicator, is the first parameter, is the first motor speed, is the second motor speed, is the maximum motor speed, is the first influence coefficient, It is the standard cooling indicator.

10. The motor cooling system control device based on multi-parameter linkage according to claim 1, characterized in that: The feedback model in obtaining the second prediction index based on the feedback model, the first motor temperature, the second motor temperature and the second parameter is expressed as: ;in, is the second prediction indicator, is the second parameter, is the first motor temperature, is the second motor temperature, is the standard temperature of the motor, is the second influence coefficient, It is the standard cooling indicator.

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