Combined cooling system of fan
Through the collaborative work of the multi-source perception module and the decision-making control module, the precise adaptation and three-dimensional thermal field equalization of the fan heat dissipation system under different working conditions are achieved, solving the problems of low heat dissipation efficiency, low energy efficiency and thermal imbalance of the traditional fan heat dissipation system, and improving the response accuracy and energy efficiency ratio.
Patent Information
- Application Number
- CN202510957296.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-11
- Publication Date
- 2025-08-15
AI Technical Summary
The heat dissipation efficiency of traditional fan cooling systems is attenuated in high temperature and high humidity environments, and cannot eliminate local heat accumulation, lack of thermal management synergy, rigid control strategies, three-dimensional thermal field imbalance, low energy efficiency ratio, and cannot achieve precise partition control.
The multi-source perception module is used to collect temperature data in real time, the decision-making control module generates coordinated control instructions through the dynamic heat dissipation strategy matrix, the intelligent air-cooled subsystem, liquid-cooled subsystem and phase change subsystem work together, and the safety early warning module provides emergency protection.
It achieves accurate adaptation of heat dissipation needs under different working conditions, eliminates three-dimensional thermal imbalance, improves response accuracy, reduces energy waste in non-critical areas, and improves the energy efficiency ratio throughout the life cycle.
Smart Images

Figure CN120487656A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of wind power operation and maintenance technology, and in particular to a combined heat dissipation system for a wind turbine. Background Art
[0002] A fan is a driven fluid machine that relies on input mechanical energy to increase gas pressure and discharge the gas. It is widely used in factories, mines, tunnels, cooling towers, vehicles, ships and buildings for ventilation, dust removal and cooling, as well as ventilation and draft in boilers and industrial furnaces. Under high-speed operation, the heat generated inside the motor mainly comes from stator winding copper loss, iron core eddy current loss and bearing friction loss. If this heat cannot be dissipated in time, it will cause the motor temperature to exceed the standard, which will lead to aging of insulation materials, degradation of magnetic properties and even serious equipment failure.
[0003] Traditional heat dissipation technology has the following defects: 1. Insufficient adaptability of heat dissipation modes: The air cooling system relies on forced airflow for heat dissipation, but its heat dissipation capacity is easily restricted by environmental conditions. The heat dissipation efficiency decreases in high temperature and high humidity environments, and it cannot eliminate heat accumulation in local areas. Although the liquid cooling system improves heat conduction capacity through liquid circulation, it has a response delay problem. After the system is started, it takes a long time to establish effective heat exchange, which makes it difficult to cope with sudden load changes. In particular, there are blind spots in the thermal management of key parts such as power modules.
[0004] 2. Lack of thermal management synergy: Phase change materials have limited thermal conductivity, and their thermal response speed is much lower than that of active cooling systems. They lack a linkage control mechanism with air cooling and liquid cooling systems. Under continuous high-load conditions, the heat accumulation effect is good, and the performance of phase change materials continues to decay with the operating time.
[0005] 3. Systemic technical bottlenecks: The control strategy is rigid, and the fixed threshold control mode cannot autonomously adjust the heat dissipation intensity according to the dynamic characteristics of temperature rise. The three-dimensional thermal field is unbalanced, and there are differences in heat distribution in the windings, bearings, and power module areas inside the motor. The traditional uniform heat dissipation solution cannot achieve precise zoning control. The energy efficiency ratio is low, and the heat dissipation system still maintains high power consumption under non-peak conditions, resulting in serious energy waste. Therefore, the present invention provides a combined cooling system for fans that integrates the advantages of multiple cooling modes, has three-dimensional temperature field perception capabilities, and can make autonomous decisions based on real-time thermal conditions. This intelligent cooling system breaks through the limitations of traditional technologies. Summary of the Invention
[0006] (1) Technical problems solved In view of the deficiencies in the prior art, the present invention provides a combined heat dissipation system of a fan, which solves the problems raised in the above background technology.
[0007] (2) Technical solution To achieve the above objectives, the present invention provides the following technical solutions: a combined heat dissipation system for a fan, the system comprising a multi-source sensing module, a decision control module, a heat dissipation execution module and a safety warning module; The multi-source sensing module deploys a temperature sensing network in key areas of the motor to collect stator winding temperature field distribution, bearing surface thermal map, and power module junction temperature data in real time. It determines thermal anomaly areas based on preset temperature rise rate thresholds and recalibrates monitoring target points when heat source offsets are detected. The decision control module establishes a dynamic heat dissipation strategy matrix, combines environmental parameters with temperature gradient distribution, calculates the activation priority of different heat dissipation modes, generates coordinated control instructions for the air cooling subsystem, liquid cooling subsystem, and phase change subsystem, and eliminates three-dimensional thermal field imbalance in real time; The heat dissipation execution module includes: The intelligent air cooling subsystem generates directional airflow to enhance heat exchange through gradient start-stop control of the axial fan array and adjustment of the louver guide angle; The liquid cooling circulation subsystem accurately removes the accumulated heat in the core heating area through dynamic distribution of microchannel flow and regulation of semiconductor refrigeration power; The phase change thermal storage subsystem absorbs transient thermal shock energy through contact pressure control of the heat pipe array and activation of the phase change material; The safety warning module uses a multi-level sound and light alarm device to trigger a voice alarm, execute the full power startup of the cooling unit and the equipment shutdown protection protocol according to the urgency level when it detects excessive temperature and system failure, and feedback manual intervention.
[0008] Preferably, in the intelligent air cooling subsystem, the axial flow fans adopt a 3×3 matrix layout, and the fan impeller diameter meets Where D is the impeller diameter in m, is the rated power of the motor KW; The microchannel cold plate of the liquid cooling circulation subsystem has a tree-like fractal flow channel, and the channel width decreases gradually from 2 mm at the inlet end to 0.5 mm at the end; The phase change thermal storage subsystem adopts a modular and replaceable design, and the phase change material module is connected to the heat dissipation substrate through a magnetic interface; The system sets an emergency cooling protocol: when the temperature is detected to be greater than 120°C, all cooling modes are started synchronously and an alarm signal is triggered.
[0009] Preferably, the system comprises the following steps: S1. Real-time collection of fan operating status data, including stator winding temperature, bearing temperature, power module temperature, and ambient temperature and humidity; S2. Performing a heat dissipation mode decision analysis based on temperature distribution characteristics to generate a multi-level heat dissipation strategy instruction, wherein the heat dissipation mode includes an air cooling mode, a liquid cooling mode, and a phase change enhancement mode; S3. When the decision is for air cooling mode, implement gradient start-stop control: dynamically adjust the number of axial flow fan arrays started based on the temperature change rate, and control the opening and closing angle of the louvered air guide cover; S4. When the decision is made for liquid cooling mode, the microcirculation cooling subsystem is started: the variable frequency pump drives the coolant to flow through the microchannel cold plate inside the motor housing, and the semiconductor refrigeration plate is activated to perform secondary cooling on the return coolant; S5. When the decision is made for the phase change enhancement mode, the phase change material module is triggered: the heat pipe array is controlled to form a thermal contact with the heat source area of the motor, so that the solid-liquid phase change material embedded in the heat dissipation substrate absorbs heat; S6. Execute multi-modal collaborative cooling: When it is detected that the local temperature difference exceeds the threshold, the air cooling diversion and liquid cooling microcirculation are simultaneously started, and the coolant flow ratio is distributed through the dynamic regulating valve; S7. Perform heat dissipation performance feedback optimization: Obtain the three-dimensional temperature field distribution based on the temperature sensor network, use the PID algorithm to correct the heat dissipation parameters in real time and update the heat dissipation strategy database.
[0010] Preferably, the S1 specifically includes: S11. Embed a distributed optical fiber temperature sensor in the stator slot of the motor to obtain winding temperature field data with a sampling period of 0.5 seconds; S12. Scan the surface of the motor end cover with an infrared thermal imager to generate a two-dimensional temperature cloud map of the bearing seat area; S13, using a thermocouple matrix to monitor the IGBT die junction temperature of the power module, with a sampling frequency of 10kHz; S14. Collect cabin internal environmental parameters through the temperature and humidity composite sensor, and correct the heat dissipation efficiency parameters through the air pressure compensation algorithm.
[0011] Preferably, the heat dissipation mode decision analysis in S2 specifically includes: S21: When the maximum temperature is less than 70°C and the temperature rise rate is less than 2°C / min, activate the air cooling mode; S22: When 70°C is less than the maximum temperature and 90°C is less than the maximum temperature and the local temperature difference is greater than 15°C, the liquid cooling mode is activated; S23, when it is detected that the instantaneous temperature shock is greater than 30°C / s and the continuous temperature is greater than 95°C, the phase change strengthening mode is activated; S24. Establish a heat dissipation mode decision matrix in is the temperature rise rate, is the temperature gradient, τ is the duration, and η is the environmental correction factor.
[0012] Preferably, the gradient start-stop control in S3 includes: S31. Construct the fan start and stop logic function: in is the number of fans to be started, ; S32, the control formula of the opening and closing angle of the air deflector: in is the shutter opening and closing angle, is the hot spot temperature, is the temperature of the cold zone; S33. Use phase-staggered starting technology to make the starting time interval of multiple fans 50ms.
[0013] Preferably, the microcirculation cooling subsystem control in S4 includes: S41. Coolant flow dynamic adjustment formula: Where Q is the flow rate L / min, k is the thermal resistance coefficient, is the junction temperature, is the ambient temperature, S42. Working voltage control model of semiconductor refrigeration chip: in is the temperature difference between the inlet and outlet of the coolant; S43 adopts counter-current heat exchange design, with the coolant flow and air flow direction perpendicular to each other at 90 degrees.
[0014] Preferably, the phase change material module control in S5 includes: S51. The heat pipe array adopts radial radiation layout, and the heat pipe spacing meets the following requirements: Where d is the distance between heat pipes, L is the side length of the heat dissipation substrate, is the number of heat pipes; S52, the activation control logic of the phase change material is: when it is detected that the temperature change rate is greater than 5°C / s, the electromagnetic push rod is activated to make the heat pipe contact with the heat source; S53. Set up a phase change material composite structure: the inner layer is a paraffin-based organic phase change material, and the outer layer is wrapped with a metal alloy heat-conducting skeleton.
[0015] Preferably, the multi-modal collaborative heat dissipation in S6 includes: S61. Establish a coolant flow distribution matrix: Where Q is the flow rate of each component, is the temperature rise; S62, set the air-liquid coupling rule: when the ambient humidity is greater than 60%, reduce the air cooling weight coefficient by 30%; S63. Collaborative control strategy for phase change modules: Integrate heat exchange plates in the liquid cooling circuit to transfer the heat stored in the phase change material to the coolant.
[0016] Preferably, the heat dissipation performance feedback optimization in S7 includes: S71. Construct a three-dimensional temperature field feedback model: in is the temperature Laplace operator is the thermal diffusivity of the material, t is the time, is the volume heat source intensity, is the thermal conductivity; S72. Reinforcement learning reward function: R is the reward value; is the temperature weight coefficient; is the power consumption weight coefficient; is the total system power consumption, The current maximum temperature.
[0017] (3) Beneficial effects Compared with the prior art, the present invention provides a combined heat dissipation system of a fan, which has the following beneficial effects: 1. In the present invention, by setting up multi-modal collaborative control, when performing fan heat dissipation regulation, by establishing a dynamic matching mechanism between temperature field characteristics and heat dissipation mode, the air cooling, liquid cooling and phase change enhancement modes are autonomously switched in real time according to the temperature rise rate and heat distribution gradient, so that the system can accurately adapt to the heat dissipation requirements under different working conditions, ensuring timely heat dissipation of high-temperature core areas while avoiding energy waste caused by overcooling of non-critical areas, thereby improving the accuracy of heat dissipation response.
[0018] 2. In the present invention, by setting up a three-dimensional thermal field balancing system, when heat dissipation is performed, by constructing a spatial temperature sensing network and a cooling medium allocation strategy, the differences in the heat zone distribution of bearings, windings, and power modules can be identified in real time, and the coolant flow rate and airflow guide angle can be dynamically adjusted, so that the temperature control accuracy of key hotspots is improved, and the three-dimensional thermal imbalance phenomenon in the traditional heat dissipation mode is effectively eliminated, ensuring that the temperature gradient of each area inside the motor is always maintained within the safety threshold.
[0019] 3. In the present invention, by setting up an energy efficiency optimization feedback mechanism, during the heat dissipation operation process, the heat dissipation strategy parameters are continuously corrected through the reinforcement learning algorithm, and the benefit balance point between heat dissipation power consumption and temperature control effect is calculated in real time, so that the system can autonomously reduce the operating energy consumption under low-load conditions while maintaining the target temperature, fundamentally solving the defect of traditional systems with continuous high power consumption operation and improving the energy efficiency ratio throughout the life cycle. BRIEF DESCRIPTION OF THE DRAWINGS
[0020] Figure 1 It is a schematic diagram of the overall system architecture of the present invention. DETAILED DESCRIPTION
[0021] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.
[0022] See also Figure 1 , a combined cooling system for a fan, the system includes a multi-source sensing module, a decision control module, a cooling execution module and a safety warning module; The multi-source sensing module deploys a temperature sensing network in key areas of the motor to collect stator winding temperature field distribution, bearing surface thermal map, and power module junction temperature data in real time. It determines thermal anomaly areas based on preset temperature rise rate thresholds and recalibrates monitoring target points when heat source offsets are detected. The decision control module establishes a dynamic heat dissipation strategy matrix, combines environmental parameters with temperature gradient distribution, calculates the activation priority of different heat dissipation modes, generates coordinated control instructions for the air cooling subsystem, liquid cooling subsystem, and phase change subsystem, and eliminates three-dimensional thermal field imbalance in real time; The heat dissipation execution module includes: The intelligent air cooling subsystem generates directional airflow to enhance heat exchange through gradient start-stop control of the axial fan array and adjustment of the louver guide angle; The liquid cooling circulation subsystem accurately removes the accumulated heat in the core heating area through dynamic distribution of microchannel flow and regulation of semiconductor refrigeration power; The phase change thermal storage subsystem absorbs transient thermal shock energy through contact pressure control of the heat pipe array and activation of the phase change material; The safety warning module uses a multi-level sound and light alarm device to trigger a voice alarm, execute the full power startup of the cooling unit and the equipment shutdown protection protocol according to the urgency level when it detects excessive temperature and system failure, and feedback manual intervention.
[0023] In the intelligent air cooling subsystem, the axial flow fans are arranged in a 3×3 matrix, and the fan impeller diameter meets Where D is the impeller diameter in m, is the rated power of the motor KW; The microchannel cold plate of the liquid cooling circulation subsystem has a tree-like fractal flow channel, and the channel width decreases gradually from 2 mm at the inlet end to 0.5 mm at the end; The phase change thermal storage subsystem adopts a modular and replaceable design, and the phase change material module is connected to the heat dissipation substrate through a magnetic interface; The system sets an emergency cooling protocol: when the temperature is detected to be greater than 120°C, all cooling modes are started synchronously and an alarm signal is triggered.
[0024] The system includes the following steps: S1. Real-time collection of fan operating status data, including stator winding temperature, bearing temperature, power module temperature, and ambient temperature and humidity; S2. Performing a heat dissipation mode decision analysis based on temperature distribution characteristics to generate a multi-level heat dissipation strategy instruction, wherein the heat dissipation mode includes an air cooling mode, a liquid cooling mode, and a phase change enhancement mode; S3. When the decision is for air cooling mode, implement gradient start-stop control: dynamically adjust the number of axial flow fan arrays started based on the temperature change rate, and control the opening and closing angle of the louvered air guide cover; S4. When the decision is made for liquid cooling mode, the microcirculation cooling subsystem is started: the variable frequency pump drives the coolant to flow through the microchannel cold plate inside the motor housing, and the semiconductor refrigeration plate is activated to perform secondary cooling on the return coolant; S5. When the decision is made for the phase change enhancement mode, the phase change material module is triggered: the heat pipe array is controlled to form a thermal contact with the heat source area of the motor, so that the solid-liquid phase change material embedded in the heat dissipation substrate absorbs heat; S6. Execute multi-modal collaborative cooling: When it is detected that the local temperature difference exceeds the threshold, the air cooling diversion and liquid cooling microcirculation are simultaneously started, and the coolant flow ratio is distributed through the dynamic regulating valve; S7. Perform heat dissipation performance feedback optimization: Obtain the three-dimensional temperature field distribution based on the temperature sensor network, use the PID algorithm to correct the heat dissipation parameters in real time and update the heat dissipation strategy database.
[0025] S1 specifically includes: S11. Embed a distributed optical fiber temperature sensor in the stator slot of the motor to obtain winding temperature field data with a sampling period of 0.5 seconds; S12. Scan the surface of the motor end cover with an infrared thermal imager to generate a two-dimensional temperature cloud map of the bearing seat area; S13, using a thermocouple matrix to monitor the IGBT die junction temperature of the power module, with a sampling frequency of 10kHz; S14. Collect cabin internal environmental parameters through the temperature and humidity composite sensor, and correct the heat dissipation efficiency parameters through the air pressure compensation algorithm.
[0026] The cooling mode decision analysis in S2 specifically includes: S21: When the maximum temperature is less than 70°C and the temperature rise rate is less than 2°C / min, activate the air cooling mode; S22: When 70°C is less than the maximum temperature and 90°C is less than the maximum temperature and the local temperature difference is greater than 15°C, the liquid cooling mode is activated; S23, when it is detected that the instantaneous temperature shock is greater than 30°C / s and the continuous temperature is greater than 95°C, the phase change strengthening mode is activated; S24. Establish a heat dissipation mode decision matrix in is the temperature rise rate, is the temperature gradient, τ is the duration, and η is the environmental correction factor.
[0027] The gradient start and stop control in S3 includes: S31. Construct the fan start and stop logic function: in is the number of fans to be started, ; S32, the control formula of the opening and closing angle of the air deflector: in is the shutter opening and closing angle, is the hot spot temperature, is the temperature of the cold zone; S33. Use phase-staggered starting technology to make the starting time interval of multiple fans 50ms.
[0028] The micro-circulation cooling subsystem control in S4 includes: S41. Coolant flow dynamic adjustment formula: Where Q is the flow rate L / min, k is the thermal resistance coefficient, is the junction temperature, is the ambient temperature, S42. Working voltage control model of semiconductor refrigeration chip: in is the temperature difference between the inlet and outlet of the coolant; S43 adopts counter-current heat exchange design, with the coolant flow and air flow direction perpendicular to each other at 90 degrees.
[0029] Phase change material module control in S5 includes: S51. The heat pipe array adopts radial radiation layout, and the heat pipe spacing meets the following requirements: Where d is the distance between heat pipes, L is the side length of the heat dissipation substrate, is the number of heat pipes; S52, the activation control logic of the phase change material is: when it is detected that the temperature change rate is greater than 5°C / s, the electromagnetic push rod is activated to make the heat pipe contact with the heat source; S53. Set up a phase change material composite structure: the inner layer is a paraffin-based organic phase change material, and the outer layer is wrapped with a metal alloy heat-conducting skeleton.
[0030] The multi-modal collaborative cooling in S6 includes: S61. Establish a coolant flow distribution matrix: Where Q is the flow rate of each component, is the temperature rise; S62, set the air-liquid coupling rule: when the ambient humidity is greater than 60%, reduce the air cooling weight coefficient by 30%; S63. Collaborative control strategy for phase change modules: Integrate heat exchange plates in the liquid cooling circuit to transfer the heat stored in the phase change material to the coolant.
[0031] S71. Construct a three-dimensional temperature field feedback model: in is the temperature Laplace operator is the thermal diffusivity of the material, t is the time, is the volume heat source intensity, is the thermal conductivity; S72. Reinforcement learning reward function: R is the reward value; is the temperature weight coefficient; is the power consumption weight coefficient; is the total system power consumption, The current maximum temperature.
[0032] Example 1 This embodiment uses a megawatt-class permanent magnet synchronous blower as an example. During implementation, a distributed fiber optic temperature sensor array is embedded within the motor stator slots and arranged in a spiral pattern along the winding axis, enabling dynamic global monitoring of the winding temperature field. An infrared thermal imaging unit is installed on the inner side of the bearing housing end cap to scan the thermal distribution of the bearing surface in real time. A micro-thermocouple matrix is also integrated at equal intervals on the power module substrate, ensuring that at least three temperature measurement points are located in each IGBT chip area. The heat dissipation actuator utilizes an axial fan array arranged in three rows and three columns. The impeller diameter is designed based on the rated power characteristics. The external louvered air guide is linked to a stepper motor via a linkage mechanism, enabling stepless adjustment of the opening and closing angle. The liquid cooling unit includes a microchannel cold plate brazed into the motor housing. Its tree-like fractal flow channel design allows the coolant to effectively penetrate the core heat source area. A variable frequency pump is connected in series in the cooling circuit to achieve dynamic flow control. Semiconductor refrigeration chips are mounted on the outer wall of the coolant return pipe for secondary cooling. The phase change unit utilizes six heat pipes arranged radially around the bearing housing. The phase change material module is encapsulated within an aluminum alloy frame, and controlled contact with the heat source is achieved through an electromagnetic push rod mechanism. A multimodal decision processor serves as the control hub, with a built-in reinforcement learning algorithm and connected to a dynamic parameter tuning unit, which stores a mapping table of optimal control parameters from historical operations.
[0033] During the system initialization phase, the sensor calibration process is first executed. The temperature measurement deviation is corrected by comparing with the standard temperature source. At the same time, the fan position is reset to zero, the air guide cover is opened to the fully open state, and the cooling valve is placed in the middle position. After completing the self-test, the pre-stored historical optimal control parameter set is loaded. During operation, when the infrared thermal imager detects an instantaneous temperature jump on the bearing surface, the system immediately triggers the emergency response mechanism: the electromagnetic push rod drives the heat pipe array to press the heat source area with a predetermined pressure within milliseconds, and the speed of the variable frequency pump is increased to 150% of the rated working condition, and the semiconductor refrigeration plate is switched to full power. rate working mode; if the stator winding is monitored to show a gradual temperature rise feature, the gradient air cooling strategy is activated - the axial flow fan is started in partitions according to the temperature field distribution map, and the optimal deflection angle of the guide cover blades is dynamically calculated based on the hot spot position. This angle value is accurately executed by a stepper motor; when the temperature difference between the power module and the bearing area exceeds the set threshold, the coolant intelligent distribution system automatically adjusts the flow ratio to obtain greater cooling intensity in the high-temperature area. At this time, the working fluid evaporated in the heat pipe is forced to exchange heat with the coolant in the condensation section, realizing energy coupling between the phase change unit and the liquid cooling circuit.
[0034] During routine maintenance, the system is dynamically optimized: the correlation between the temperature control curve and energy consumption data is analyzed, the temperature threshold matrix for mode switching is automatically updated, and the PID control parameters are iteratively optimized based on a reinforcement learning algorithm. When the phase change material module shows signs of performance degradation, maintenance personnel horizontally pull out the old module along the equipment's reserved guide rails and replace it with a standardized component pre-filled with new phase change material. The flow channel system regularly performs a backwash process, with high-pressure water injected in reverse from the return pipe to remove impurities deposited on the inner wall of the tree-like fractal flow channel. The equipment has multiple built-in safety protection mechanisms. When the temperature at any temperature measurement point reaches the emergency threshold, the system will unconditionally activate the highest level of cooling plan, all cooling units will operate at full power, and the power supply will be cut off and the sound and light alarm device will be activated. After continuous operation tests in industrial sites, this solution has suppressed temperature fluctuations in key areas, significantly reduced the operating noise of the cooling system, and achieved a breakthrough improvement in the overall energy efficiency of the unit.
[0035] Example 2 This embodiment illustrates the application of high-speed permanent magnet synchronous motors in new energy vehicle drive scenarios. A micro-thermocouple sensor array is embedded within the motor rotor shaft to monitor the temperature distribution of the rotor permanent magnets in real time. Flexible thin-film temperature sensors are embedded in slots on the back of the stator core, with three temperature measurement points in each slot to capture the temperature gradient between the winding ends and the middle of the slot. Distributed heat flux sensors are integrated on the inner wall of the casing cooling water jacket to simultaneously obtain data on the coolant heat exchange efficiency. The heat dissipation system adopts a composite architecture design: a centrifugal air cooling module is installed at the non-drive end of the motor, and the impeller is made of titanium alloy to withstand high-speed conditions. The drive end is equipped with a spray oil cooling system, with high-pressure oil nozzles evenly distributed along the circumference, and the oil line pressure is dynamically adjusted by a proportional valve. The casing cooling water channel is designed as a double helix structure, with a phase change microcapsule material layer embedded inside and a high-thermal conductivity carbon fiber layer wrapped outside. The control core adopts a multi-core heterogeneous processor architecture, with one core dedicated to running the reinforcement learning decision algorithm and the other core performing real-time three-dimensional temperature field reconstruction calculations.
[0036] During the initial motor startup, when the heat flow sensor detects a decrease in local heat exchange efficiency, the system automatically activates the channel self-cleaning mode: it controls the instantaneous backflow of coolant to remove deposits on the inner wall of the channel. During high-speed operation, if the rotor temperature monitoring indicates an abnormal temperature rise of the permanent magnets, multi-stage coordinated cooling is immediately activated. First, the centrifugal fan speed is increased to generate axial forced airflow. The oil cooling system is simultaneously activated to spray the rotor end with a directional spray, while the cooling water flow is adjusted to put the phase change material into an energy storage state. When the temperature difference between the winding end and the middle of the slot exceeds a threshold, the oil cooling system switches to pulse spray mode: the oil nozzles at different angles are alternately opened at millisecond intervals to create a rotating cooling effect. During the shutdown phase, the latent heat released by the phase change material is slowly discharged through the cooling water channel to avoid structural stress caused by sudden temperature drops.
[0037] During the maintenance cycle, the system automatically generates a heat dissipation efficiency attenuation curve: when the oil cooling efficiency decreases, the console prompts to clean the oil filter; when the phase change material energy storage capacity is lower than the threshold, the equipment automatically locks the high-speed operation mode; actual road tests show that this solution effectively controls the risk of demagnetization of the rotor permanent magnets under continuous high-speed conditions, and the temperature fluctuation amplitude of the winding hot spot is compressed to 1 / 3 of that of the traditional solution, and the energy consumption of the cooling system is reduced by more than 40%, while solving the axial temperature gradient problem unique to high-speed motors.
[0038] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply the existence of any such actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or device comprising the element.
[0039] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.
Claims
1. A combined cooling system for a fan, characterized by: The system includes a multi-source perception module, a decision control module, a heat dissipation execution module and a safety warning module; The multi-source sensing module deploys a temperature sensing network in key areas of the motor to collect stator winding temperature field distribution, bearing surface thermal map, and power module junction temperature data in real time. It determines thermal anomaly areas based on preset temperature rise rate thresholds and recalibrates monitoring target points when heat source offsets are detected. The decision control module establishes a dynamic heat dissipation strategy matrix, combines environmental parameters with temperature gradient distribution, calculates the activation priority of different heat dissipation modes, generates coordinated control instructions for the air cooling subsystem, liquid cooling subsystem, and phase change subsystem, and eliminates three-dimensional thermal field imbalance in real time; The heat dissipation execution module includes: The intelligent air cooling subsystem generates directional airflow to enhance heat exchange through gradient start-stop control of the axial fan array and adjustment of the louver guide angle; The liquid cooling circulation subsystem accurately removes the accumulated heat in the core heating area through dynamic distribution of microchannel flow and regulation of semiconductor refrigeration power; The phase change thermal storage subsystem absorbs transient thermal shock energy through contact pressure control of the heat pipe array and activation of the phase change material; The safety warning module uses a multi-level sound and light alarm device. When it detects excessive temperature or system failure, it triggers a voice alarm according to the degree of urgency, executes the full power startup of the cooling unit and the equipment shutdown protection protocol, and feedbacks manual intervention.
2. The combined cooling system of a fan according to claim 1, characterized in that: In the intelligent air cooling subsystem, the axial flow fans are arranged in a 3×3 matrix, and the fan impeller diameter meets Where D is the impeller diameter in m, is the rated power of the motor KW; The microchannel cold plate of the liquid cooling circulation subsystem has a tree-like fractal flow channel, and the channel width decreases gradually from 2 mm at the inlet end to 0.5 mm at the end; The phase change thermal storage subsystem adopts a modular and replaceable design, and the phase change material module is connected to the heat dissipation substrate through a magnetic interface; The system sets an emergency cooling protocol: when the temperature is detected to be greater than 120°C, all cooling modes are started synchronously and an alarm signal is triggered.
3. The combined cooling system of a fan according to claim 1, characterized in that: The system comprises the following steps: S1. Real-time collection of fan operating status data, including stator winding temperature, bearing temperature, power module temperature, and ambient temperature and humidity; S2. Performing a heat dissipation mode decision analysis based on temperature distribution characteristics to generate a multi-level heat dissipation strategy instruction, wherein the heat dissipation mode includes an air cooling mode, a liquid cooling mode, and a phase change enhancement mode; S3. When the decision is for air cooling mode, implement gradient start-stop control: dynamically adjust the number of axial flow fan arrays started based on the temperature change rate, and control the opening and closing angle of the louvered air guide cover; S4. When the decision is made for liquid cooling mode, the microcirculation cooling subsystem is started: the variable frequency pump drives the coolant to flow through the microchannel cold plate inside the motor housing, and the semiconductor refrigeration plate is activated to perform secondary cooling on the return coolant; S5. When the decision is made for the phase change enhancement mode, the phase change material module is triggered: the heat pipe array is controlled to form a thermal contact with the heat source area of the motor, so that the solid-liquid phase change material embedded in the heat dissipation substrate absorbs heat; S6. Execute multi-modal collaborative cooling: When it is detected that the local temperature difference exceeds the threshold, the air cooling diversion and liquid cooling microcirculation are simultaneously started, and the coolant flow ratio is distributed through the dynamic regulating valve; S7. Perform heat dissipation performance feedback optimization: Obtain the three-dimensional temperature field distribution based on the temperature sensor network, use the PID algorithm to correct the heat dissipation parameters in real time and update the heat dissipation strategy database.
4. The combined cooling system of a fan according to claim 3, characterized in that: Said S1 specifically includes: S11. Embed a distributed optical fiber temperature sensor in the stator slot of the motor to obtain winding temperature field data with a sampling period of 0.5 seconds; S12. Scan the surface of the motor end cover with an infrared thermal imager to generate a two-dimensional temperature cloud map of the bearing seat area; S13, using a thermocouple matrix to monitor the IGBT die junction temperature of the power module, with a sampling frequency of 10kHz; S14. Collect cabin internal environmental parameters through the temperature and humidity composite sensor, and correct the heat dissipation efficiency parameters through the air pressure compensation algorithm.
5. The combined cooling system of a fan according to claim 3, characterized in that: The heat dissipation mode decision analysis in S2 specifically includes: S21: When the maximum temperature is less than 70°C and the temperature rise rate is less than 2°C / min, activate the air cooling mode; S22: When 70°C is less than the maximum temperature and 90°C is less than the maximum temperature and the local temperature difference is greater than 15°C, the liquid cooling mode is activated; S23, when it is detected that the instantaneous temperature shock is greater than 30°C / s and the continuous temperature is greater than 95°C, the phase change strengthening mode is activated; S24. Establish a heat dissipation mode decision matrix in is the temperature rise rate, is the temperature gradient, τ is the duration, and η is the environmental correction factor.
6. The combined cooling system of a fan according to claim 3, characterized in that: The gradient start-stop control in S3 includes: S31. Construct the fan start and stop logic function: in is the number of fans to be started, ; S32, the control formula of the opening and closing angle of the air deflector: in is the shutter opening and closing angle, is the hot spot temperature, is the temperature of the cold zone; S33. Use phase-staggered starting technology to make the starting time interval of multiple fans 50ms.
7. The combined cooling system of a fan according to claim 3, characterized in that: The microcirculation cooling subsystem control in S4 includes: S41. Coolant flow dynamic adjustment formula: Where Q is the flow rate L / min, k is the thermal resistance coefficient, is the junction temperature, is the ambient temperature, S42. Working voltage control model of semiconductor refrigeration chip: in is the temperature difference between the inlet and outlet of the coolant; S43 adopts counter-current heat exchange design, with the coolant flow and air flow direction perpendicular to each other at 90 degrees.
8. The combined cooling system of a fan according to claim 3, characterized in that: The phase change material module control in S5 includes: S51. The heat pipe array adopts radial radiation layout, and the heat pipe spacing meets the following requirements: Where d is the distance between heat pipes, L is the side length of the heat dissipation substrate, is the number of heat pipes; S52, the activation control logic of the phase change material is: when it is detected that the temperature change rate is greater than 5°C / s, the electromagnetic push rod is activated to make the heat pipe contact with the heat source; S53. Set up a phase change material composite structure: the inner layer is a paraffin-based organic phase change material, and the outer layer is wrapped with a metal alloy heat-conducting skeleton.
9. The combined cooling system of a fan according to claim 3, characterized in that: The multi-modal collaborative heat dissipation in S6 includes: S61. Establish a coolant flow distribution matrix: Where Q is the flow rate of each component, is the temperature rise; S62, set the air-liquid coupling rule: when the ambient humidity is greater than 60%, reduce the air cooling weight coefficient by 30%; S63. Collaborative control strategy for phase change modules: Integrate heat exchange plates in the liquid cooling circuit to transfer the heat stored in the phase change material to the coolant.
10. The combined cooling system of a fan according to claim 3, characterized in that: The S7's cooling performance feedback optimization includes: S71. Construct a three-dimensional temperature field feedback model: in is the temperature Laplace operator is the thermal diffusivity of the material, t is the time, is the volume heat source intensity, is the thermal conductivity; S72. Reinforcement learning reward function: R is the reward value; is the temperature weight coefficient; is the power consumption weight coefficient; is the total system power consumption, The current maximum temperature.
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