Cooling device for wind generating set
By integrating a cooling platform and intelligent control module, and combining an adaptive composite structure of natural and forced air cooling, the problems of low integration and insufficient control precision in wind turbine cooling systems have been solved. This has achieved efficient and energy-saving cooling, adapting to complex heat loads and environmental changes, and reducing operation and maintenance costs and energy consumption.
Patent Information
- Application Number
- CN202511334875.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-18
- Publication Date
- 2025-11-18
AI Technical Summary
Existing wind turbine cooling systems have low integration levels, high operation and maintenance costs, insufficient control precision, serious energy waste, and the accumulation of impurities and ions in the cooling medium can easily lead to pipe scaling and component corrosion, making them unable to adapt to differences in heat load and environmental changes.
It adopts an integrated cooling platform, intelligent control module, external cooling heat dissipation module and environmental adaptive module. It achieves dynamic flow regulation through a single cooling pump station, parallel cooling branches, multi-parameter sensor network, AI algorithm processor and distributed actuator. It combines natural air cooling and forced air cooling adaptive composite structure, is equipped with gradient anti-corrosion components and intelligent descaling system, and has waste heat recovery function.
It achieves high integration of the cooling system, reduces operation and maintenance costs and leakage risks, improves control accuracy and energy efficiency, adapts to complex heat loads and environmental changes, extends equipment life, and reduces energy consumption and operation and maintenance frequency.
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Figure CN120969100A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application mainly relates to the field of wind power generation cooling technology, and in particular to a cooling device for a wind turbine generator system. BACKGROUND
[0002] In the field of wind power generation, with the development of large-scale wind turbine generators with single machine capacity of more than 5MW, the thermal load of core components such as gearboxes, generators and converters is significantly increased, and the performance of the cooling system directly determines the operation stability and service life of the whole machine. In the prior art, the water cooling system is mainly used to provide cooling for the converter, transformer, generator and even the main bearing of the wind turbine generator. However, the existing cooling scheme has the following problems: 1. Low integration level and high operation and maintenance cost. The traditional cooling system adopts a "one machine with multiple pumps" decentralized architecture, and the gearbox, generator and converter are each equipped with an independent cooling circuit, resulting in complex pipeline layout (the connection length is usually more than 100 meters) in the machine cabin, increased leakage risk (annual leakage rate of about 5%-8%), and lack of a unified water purification unit. Accumulation of impurities and ions in the cooling medium can easily cause pipeline fouling and component corrosion, and the average maintenance cost accounts for more than 15% of the total machine operation and maintenance cost.
[0003] 2. Insufficient control precision and serious energy waste. The existing system mainly relies on simple constant temperature threshold control (such as fixed 70℃ starting cooling pump), without considering the thermal load difference of each component (such as the rated working condition thermal load of the gearbox can reach 300kW, and the thermal load of the generator is about 150kW), which is easy to cause "overcooling" or "undercooling" problems. The cooling pump and fan are operated at a constant speed, and even at low load conditions (such as wind speed of 5-8m / s), they still maintain full power, resulting in additional energy consumption accounting for 8%-12% of the total power consumption of the wind turbine generator, which does not meet the development needs of the wind power industry to reduce costs and increase efficiency. SUMMARY
[0004] To solve the problems of the prior art, the present application provides a cooling device for a wind turbine generator system, which realizes the following technical scheme: A cooling device for a wind turbine generator system, comprising: An integrated cooling platform: composed of a single cooling pump station, an external cooling radiator and a parallel cooling branch, the parallel cooling branch is connected to the independent heat exchange components of the gearbox, generator and converter through an intelligent shunt valve, the cooling pump station is provided with a cooling pump in communication with the parallel cooling branch, and further comprises a cooling water tank, a filter and an ion exchanger connected in series with the parallel cooling branch and the cooling pump, forming a closed loop purification circulation system; Intelligent control module: including multi-parameter sensor network, AI algorithm processor, distributed actuator and several temperature sensors and pressure sensors corresponding to the gearbox, generator and converter, the sensor network collects temperature field distribution, cooling medium flow and pipeline pressure data of each core component in real time with a sampling frequency of 10 ms, the AI algorithm processor constructs a thermal load prediction curve based on an improved LSTM neural network model and outputs dynamic flow regulation instructions, and the distributed actuator realizes millisecond-level response of cooling pump speed and branch valve opening through vector control technology. External cooling and heat dissipation module: adopts natural air cooling and forced air cooling adaptive composite structure, and is modularly arranged on the windward surface of the cabin top.
[0005] Further, the parallel cooling branch includes at least three independent temperature control branches, each of which is connected in series with 2-3 heat exchange components matched according to thermal load characteristics, the heat exchange components adopt micro-channel low-drag air-water coolers, the heat dissipation core of which is an aluminum finned tube with bionic leaf vein structure, and the fins are arranged in a wave shape; a magneto-rheological intelligent electromagnetic valve is arranged at the inlet of each temperature control branch to support 0-100% stepless flow regulation and independent start-stop of a single branch, and the intelligent control module realizes differentiated distribution of flow according to the differences in thermal load dynamic characteristics of each component through a multi-objective optimization algorithm, so that the working temperature difference of each component is controlled within ±2℃.
[0006] Further, the composite structure of the external cooling radiator includes: Main heat dissipation area: adopts parallel flow type micro-channel aluminum finned tube, the fin spacing is 2-4 mm and gradually changes along the airflow direction, the windward area ratio is ≥60%, and it has a self-cleaning turbulence function; Auxiliary heat dissipation area: arranged on the side of the main heat dissipation area to form a complementary airflow field, adopts a brushless DC variable frequency fan, the speed of the brushless DC variable frequency fan and the speed of the cooling pump are linked and adjusted through a cooperative control algorithm, the air volume adjustment range is 500-5000 square meters per hour, and it has a timed back-blowing dust removal function.
[0007] Further, the AI algorithm processor of the intelligent control module executes the following adaptive hierarchical regulation strategy: Primary regulation: when the temperature of all components is less than 50℃, only the natural air cooling mode of the external cooling radiator is started, passive heat dissipation is realized through adaptive adjustment of the angle of the guide plate, the cooling pump is in a dormant state, and the energy consumption is reduced to less than 10% of the traditional mode; Secondary regulation: when the temperature of any component is 50℃ to less than 70℃, the cooling pump is started at a low speed through variable frequency, the speed is dynamically adjusted through a PID algorithm, and the auxiliary brushless DC variable frequency fan is turned off, so as to balance the heat dissipation demand and energy consumption; Three-level regulation: when the temperature of any component is greater than or equal to 70 DEG C, the cooling pump runs at full speed and the auxiliary brushless DC variable frequency fan is turned on, and the branch flow redistribution based on reinforcement learning is triggered, giving priority to the cooling of key components such as gearboxes, and the response delay is less than or equal to 50 ms.
[0008] Further, it further comprises an environment adaptive module, specifically comprising: Gradient corrosion prevention assembly: the cooling pipeline adopts a pipeline with a 316L stainless steel base material, and the surface is covered with a nano titanium dioxide and graphene composite corrosion prevention coating, and the thickness of the composite corrosion prevention coating is 50-100 mu m; Intelligent descaling subsystem: the impurity concentration of the cooling liquid is monitored in real time by a high-precision conductivity sensor, and when the conductivity is greater than 1000 mu S / cm, a pulse reverse flushing program is automatically started, the flushing pressure is 1.5-2.0 MPa, and the ultrasonic descaling device is used to realize a scale removal rate of more than 95%; Wide temperature range adaptive assembly: the cooling liquid adopts an antifreeze and corrosion integrated ethylene glycol-water mixed liquid, and the volume fraction of ethylene glycol can be automatically adjusted by an intelligent proportioning device within a range of 30%-50%, ensuring that the freezing point is less than or equal to -40 DEG C and the boiling point is greater than or equal to 108 DEG C.
[0009] Further, it further has an energy-efficient waste heat recovery assembly, specifically comprising: High-efficiency waste heat exchanger: a brazed plate heat exchanger is connected in series at the end of the cooling circuit, and the heat exchange efficiency is greater than or equal to 90%, and the waste heat of the cooling liquid can be transferred to the cabin heating pipeline and the battery heat preservation system in stages; Intelligent energy management valve: based on the ambient temperature and the heat demand of each subsystem, the working mode is automatically switched by a fuzzy control algorithm, when the ambient temperature is less than 10 DEG C, the waste heat is distributed according to the priority of battery heat preservation and cabin heating; when the ambient temperature is greater than or equal to 10 DEG C, the recovery channel is closed and the cabin dehumidification mode is started, so that the relative humidity of the cabin is controlled within 40%-60%.
[0010] Compared with the prior art, the beneficial effects of the present application are: 1、The device adopts "one pump multiple load" integrated design, the pipeline connection length is greatly reduced, thereby reducing the complexity of the cabin layout and the leakage risk; the external cooling heat dissipation module adopts a natural air cooling and forced air cooling adaptive composite structure, which effectively improves the heat dissipation efficiency of the device, and the intelligent control module realizes three-level adaptive regulation, which is more energy-saving than the traditional constant speed cooling mode, and adapts to the characteristics of large thermal load fluctuation of the wind turbine generator.
[0011] 2, The device adopts an intelligent control module, relies on a multi-parameter sensor network for 10ms-level data acquisition, and uses the hierarchical adjustment and reinforcement learning function of an AI algorithm processor to realize dynamic flow distribution by linking a cooling pump and a magnetorheological intelligent electromagnetic valve, so that the temperature difference of each component is controlled within a preset range. Compared with the traditional constant-speed cooling method, the energy efficiency can be improved, and the key components such as the gearbox can be preferentially ensured to operate at a safe temperature, so that intelligent control and precise energy saving are realized. BRIEF DESCRIPTION OF DRAWINGS Figure 1 is a schematic structural diagram of a cooling device of a wind turbine generator set according to an embodiment of the present application.
[0012] Reference signs shown in the drawings: 10, integrated cooling platform; 101, cooling pump station; 1011, cooling pump; 1012, cold water tank; 1013, filter; 1014, ion exchanger; 102, external cooling radiator; 1021, main heat dissipation area; 1022, auxiliary heat dissipation area; 103, parallel cooling branch; 1031, temperature control branch; 1032, heat exchange assembly; 1033, magnetorheological intelligent electromagnetic valve; 104, intelligent shunt valve; 20, intelligent control module; 201, multi-parameter sensor network; 202, AI algorithm processor; 203, distributed execution mechanism; 204, temperature sensor; 205, pressure sensor; 30, external cooling radiator module; 40, high-efficiency waste heat exchanger; 50, intelligent energy management valve. DETAILED DESCRIPTION The present application will be further described in conjunction with the drawings and specific embodiments. It should be understood that these embodiments are only used to illustrate the present application and not to limit the scope of the present application. In addition, it should be understood that after reading the content taught by the present application, those skilled in the art can make various modifications or modifications to the present application, and these equivalent forms also fall within the scope defined by the present application.
[0013] Embodiment: a cooling device for a wind turbine generator set As Figure 1 shown, a cooling device for a wind turbine generator set, the specific structure comprises: Integrated cooling platform 10: composed of a single cooling pump station 101, an external cooling radiator 102 and a parallel cooling branch 103, the parallel cooling branch 103 connects the independent heat exchange components of the gearbox, generator and converter through an intelligent shunt valve 104, forming an integrated cooling medium circulation architecture of "one pump and multiple loads", through integrated pipeline design, the connection length is reduced by more than 40% compared with the traditional distributed cooling system, the cooling pump station 101 is provided with a cooling pump 1011 in communication with the parallel cooling branch 103, and further comprises a cooling water tank 1012, a filter 1013 and an ion exchanger 1014 connected in series with the parallel cooling branch 103 and the cooling pump 1011, to form a closed loop purification circulation system; Intelligent control module 20: including a multi-parameter sensor network 201, an AI algorithm processor 202, a distributed actuator 203, and a plurality of temperature sensors 204 and pressure sensors 205 corresponding to the gearbox, generator and converter, the sensor network 201 collects temperature field distribution, cooling medium flow and pipeline pressure data of each core component in real time with a sampling frequency of 10ms, the AI algorithm processor 202 constructs a thermal load prediction curve based on an improved LSTM neural network model and outputs a dynamic flow regulation instruction, and the distributed actuator 203 realizes millisecond-level response of the cooling pump 1011 speed and branch valve opening degree through vector control technology; External cooling module 30: adopts a natural and forced air cooling adaptive composite structure, and is modularly arranged on the windward surface of the cabin top, forms a gradient air path through bionics deflector, the wind resistance coefficient is reduced to below 0.3, and the cooling efficiency is improved by 25%-30% compared with the traditional structure.
[0014] The working principle is as follows: In the integrated cooling platform 10, the cooling pump 1011 provides power to drive the cooling medium to flow out of the cold water tank 1012, filter impurities through the filter 1013, remove ions in the water through the ion exchanger 1014 to maintain water quality, and then enter the parallel cooling branch 103, and be distributed to the independent heat exchange components of the gearbox, generator, and converter through the intelligent distribution valve 104. After absorbing the heat of each component, the cooling medium flows to the external cooling heat dissipation module 30); the external cooling heat dissipation module 30 adopts a "natural air cooling + forced air cooling" composite mode, and is modularly arranged on the windward surface of the cabin top. The bionics guide plate guides the airflow to form a gradient air path, preferentially dissipating heat through natural air cooling, and automatically switching to forced air cooling if the heat dissipation is insufficient. The finally cooled medium flows back to the cold water tank 1012 to complete the closed loop circulation; at the same time, the multi-parameter sensor network 201 of the intelligent control module 20 collects the temperature of the gearbox, generator, and converter (through the temperature sensor 204), pipeline pressure (through the pressure sensor 205), and cooling medium flow data at a sampling frequency of 10 ms, and transmits them to the AI algorithm processor 202. The AI processor analyzes the data based on the improved LSTM neural network model and constructs a thermal load prediction curve, and outputs dynamic flow adjustment instructions. The distributed actuator 203 adjusts the speed of the cooling pump 1011 and the opening degree of the branch valve in real time through vector control technology, with a response delay of milliseconds. The beneficial effects are that the "one pump multiple load" design replaces the traditional distributed cooling system, the pipeline connection length is reduced by more than 40%, the complexity of the pipeline layout in the cabin is reduced, the risk of leakage is reduced, and the installation and maintenance cost is reduced; the series connection of the filter 1013 and the ion exchanger 1014 avoids pipeline fouling and component corrosion caused by impurities and ions, prolonging the service life of the system; the gradient air path design of the external cooling heat dissipation module 30 makes the wind resistance coefficient ≤0.3, and the heat dissipation efficiency is improved by 25%-30% compared with the traditional structure, and the modular arrangement is suitable for different cabin spaces.
[0015] The parallel cooling branch 103 includes at least three independent temperature control branches 1031, each of which is connected in series with 2-3 heat exchange components 1032 matched with the heat load characteristics of the gearbox, generator and converter. The heat exchange component 1032 uses a micro-channel low-drag air-water cooler, and the bionic vein structure aluminum finned tube is arranged in a wave shape to increase the surface area and strengthen the heat exchange between the cooling medium and the components. The magnetorheological intelligent electromagnetic valve 1033 at the inlet of the temperature control branch 1031 receives instructions from the intelligent control module 20, supports stepless flow adjustment of 0-100% in a single branch and independent start-stop, and the AI algorithm processor 202 dynamically allocates the flow of each branch according to the real-time heat load difference of each component (such as the heat load of the gearbox being higher than that of the generator), to ensure that the working temperature difference of each component is controlled within ±2℃. The beneficial effects are that the independent temperature control branch is combined with stepless flow adjustment to avoid the problem of overcooling of some components and overheating of some components caused by traditional "one-size-fits-all" cooling, and to adapt to the different heat load requirements of each core component; the high specific surface area and low drag structure of the bionic vein finned tube improve the heat exchange efficiency while reducing the flow resistance of the cooling medium and reducing the energy consumption of the cooling pump 1011.
[0016] In the composite structure of the external cooling radiator 102, the main heat dissipation area 1021 uses parallel flow type micro-channel aluminum finned tube with a fin spacing of 2-4 mm and gradually changing along the airflow direction (sparse at the windward end and dense at the leeward end), and the windward area ratio is ≥60%. Natural airflow is used to achieve basic heat dissipation, and the self-cleaning disturbance function of the fins can reduce dust accumulation; the auxiliary heat dissipation area 1022 is arranged on the side of the main heat dissipation area 1021, and the speed of the brushless direct-current frequency conversion fan is linked with the cooling pump 1011 through a cooperative control algorithm (the higher the pump speed, the higher the fan speed is synchronized to improve), the air volume adjustment range is 500-5000 square meters per hour, and the filter screen is started regularly to blow away dust to avoid blockage; when the surface temperature of the external cooling radiator 102 is ≤5℃, the intelligent anti-freezing module automatically starts the pulse heating device to heat the finned tube at a local heating power of 10-50 The beneficial effects are that the main heat dissipation area uses natural air cooling to reduce energy consumption, the auxiliary heat dissipation area uses forced air cooling to cope with high load scenarios, and the cooperative linkage realizes "low load energy saving and high load high efficiency"; the pulse heating device reduces energy consumption by 70% compared with the traditional heating method, the regular back blowing reduces the frequency of manual cleaning, and the system reliability in offshore / multi-dust environments is improved.
[0017] The AI algorithm processor 202 of the intelligent control module 20 performs three-level adaptive adjustment based on the temperatures of various components collected by the temperature sensor 204. When all component temperatures are less than 50°C, first-level adjustment is started, only the external cooling radiator 30 is opened in natural air cooling mode, the flow guide plate is adjusted in angle to enhance the natural air flow introduction, and the cooling pump 1011 is dormant, only maintaining minimum circulation (energy consumption is reduced to less than 10% of the traditional mode); when 50°C≤any component temperature<70°C, second-level adjustment is started, the intelligent control module 20 instructs the cooling pump 1011 to run at a low speed (500-1500 rpm) through frequency conversion, and dynamically adjusts the speed through a PID algorithm (the speed is increased as the temperature rises), while the auxiliary brushless direct-current variable-frequency fan is turned off to balance the heat dissipation demand and energy consumption; when any component temperature is greater than or equal to 70°C, third-level adjustment is started, the cooling pump 1011 runs at full speed (1500-3000 rpm), the auxiliary fan is turned on, and a reinforcement learning algorithm is triggered, which preferentially allocates more flow to the branch where the gearbox (a key component) is located, the response delay is less than or equal to 50 ms, and the gearbox is prevented from being damaged due to high temperature. The beneficial effects of the application are that the graded adjustment dynamically matches the cooling system energy consumption with the heat load, which is more than 40% more energy-efficient than the traditional constant-speed cooling mode, and is particularly suitable for wind turbine generators with the characteristics of “intermittent power generation and large heat load fluctuations”; the flow redistribution of the reinforcement learning algorithm ensures that the gearbox and other core components (which have high failure maintenance costs) are always within a safe temperature range, thereby improving the reliability of the entire machine.
[0018] The environmental adaptation module includes a gradient corrosion prevention assembly, an intelligent descaling subsystem, and a wide-temperature-range adaptation assembly. The cooling pipeline of the gradient corrosion prevention assembly is made of 316L stainless steel substrate + nano titanium dioxide / graphene composite corrosion-resistant coating (thickness 50-100 μm). The coating forms a dense protective film to isolate seawater and moisture from corroding the pipeline, and the salt spray test life is greater than or equal to 5000 hours. The intelligent descaling subsystem uses a high-precision conductivity sensor (measurement accuracy ±1 μS / cm) to monitor the impurity concentration of the cooling liquid in real time. When the conductivity is greater than 1000 μS / cm (indicating that the impurities exceed the standard), an automatic pulse reverse flushing program (flushing pressure 1.5-2.0 MPa) is started, and an ultrasonic descaling device is operated at the same time to remove the scale on the inner wall of the pipeline through high-frequency vibration, with a removal rate of greater than or equal to 95%. The cooling liquid of the wide-temperature-range adaptation assembly uses an antifreeze and corrosion-resistant integrated ethylene glycol-water mixture. The volume fraction of ethylene glycol can be automatically adjusted by the intelligent proportioning device within a range of 30%-50%, ensuring that the freezing point is less than or equal to -40°C (to prevent icing at low temperatures) and the boiling point is greater than or equal to 108°C (not boiling at high temperatures). The beneficial effects of the application are that the gradient corrosion prevention is adapted to the high-salt environment at sea, and the wide-temperature-range adaptation is adapted to -40°C extreme cold to high-temperature working conditions, solving the pain points of traditional cooling systems such as poor environmental adaptability, easy corrosion, and icing; the combination of automatic back flushing and ultrasonic descaling replaces manual disassembly and cleaning, reducing downtime and maintenance costs, and avoiding the reduction of heat exchange efficiency caused by scale.
[0019] The energy efficiency optimized waste heat recovery assembly comprises a high-efficiency waste heat exchanger 40 and an intelligent energy management valve 50, the high-efficiency waste heat exchanger 40 is connected in series at the end of the cooling circuit by using a brazed plate heat exchanger, the heat exchange efficiency is greater than or equal to 90%, and the waste heat of the cooling liquid can be transferred to the cabin heating pipeline and the battery heat preservation system in stages; the intelligent energy management valve 50 automatically switches the working mode based on the environmental temperature and the heat demand of each subsystem through a fuzzy control algorithm, when the environmental temperature is less than 10 DEG C, the waste heat is distributed according to the priority of 'battery heat preservation > cabin heating' (the battery is more sensitive to temperature, and low temperature easily affects the service life); when the environmental temperature is greater than or equal to 10 DEG C, the recovery channel is closed and the cabin dehumidification mode is started in linkage (dehumidification by cooling medium), so that the relative humidity of the cabin is controlled in the range of 40%-60%. The beneficial effects are that the waste heat recovery replaces the traditional electric heating (cabin heating and battery heat preservation), reduces the power consumption of the whole machine, and according to the calculation of 3000 hours of annual operation, the power consumption can be saved by 15%-20%; the waste heat recovery and dehumidification function are combined, the additional installation of the dehumidification equipment is avoided, the cabin layout is simplified, and the battery life and the moisture-proof reliability of the electrical components (the humidity is controlled in the preset safety range) are ensured.
[0020] In the explanation of the present application, it should be noted that the terms indicating the orientation are only for the convenience of description and understanding, and are not the only limitation on the installation position of the specific technical features.
[0021] Finally, it should be noted that: the above examples are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing examples, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing examples, or make equivalent replacement for part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims
1. A cooling device for wind turbine generator sets, characterized in that, include: Integrated cooling platform (10): It consists of a single cooling pump station (101), an external cooling radiator (102) and a parallel cooling branch (103). The parallel cooling branch (103) is connected to the independent heat exchange components of the gearbox, generator and converter through an intelligent diversion valve (104). The cooling pump station (101) is equipped with a cooling pump (1011) connected to the parallel cooling branch (103). It also includes a cold water tank (1012), a filter (1013) and an ion exchanger (1014) connected in series with the parallel cooling branch (103) and the cooling pump (1011), forming a closed-loop purification circulation system. The intelligent control module (20) includes a multi-parameter sensor network (201), an AI algorithm processor (202), a distributed actuator (203), and several temperature sensors (204) and pressure sensors (205) corresponding to the gearbox, generator, and converter. The sensor network (201) collects the temperature field distribution, cooling medium flow rate, and pipeline pressure data of each core component in real time at a sampling frequency of 10ms. The AI algorithm processor (202) constructs a heat load prediction curve based on an improved LSTM neural network model and outputs dynamic flow adjustment commands. The distributed actuator (203) realizes the millisecond-level response of the speed of the cooling pump (1011) and the opening degree of the branch valve through vector control technology. External cooling heat dissipation module (30): It adopts an adaptive composite structure of natural air cooling and forced air cooling, and is modularly arranged on the windward side of the top of the cabin.
2. A cooling device for a wind turbine generator set according to claim 1, characterized in that: The parallel cooling branch (103) includes at least three independent temperature control branches (1031). Each temperature control branch (1031) is connected in series with 2-3 heat exchange components (1032) matched according to the heat load characteristics. The heat exchange components (1032) adopt microchannel low wind resistance air-water coolers. Their heat dissipation core is an aluminum finned tube with a biomimetic leaf vein structure. The fins are arranged in a wave-shaped staggered pattern. Each temperature control branch (1031) is equipped with a magnetorheological intelligent solenoid valve (1033) at the inlet, which supports stepless flow regulation and independent start and stop of a single branch from 0-100%. The intelligent control module (20) realizes differentiated flow distribution through a multi-objective optimization algorithm according to the differences in the dynamic characteristics of the heat load of each component, so that the working temperature difference of each component is controlled within ±2℃.
3. A cooling device for a wind turbine generator set according to claim 1, characterized in that: The composite structure of the external cooling radiator (102) includes: Main heat dissipation area (1021): adopts parallel flow microchannel aluminum finned tube, with fin spacing of 2-4mm and gradually changing along the airflow direction, and the frontal area accounts for ≥60%, and has self-cleaning turbulence function. Auxiliary heat dissipation area (1022): Arranged on the side of the main heat dissipation area (1021) to form a complementary airflow field. It adopts a brushless DC inverter fan. The speed of the brushless DC inverter fan and the speed of the cooling pump (1011) are adjusted in conjunction with the collaborative control algorithm. The air volume adjustment range is 500-5000 square meters per hour, and it has a timed back-blowing dust removal function.
4. A cooling device for a wind turbine generator set according to claim 1, characterized in that: The AI algorithm processor (202) of the intelligent control module (20) executes the following adaptive hierarchical adjustment strategy: Level 1 adjustment: When the temperature of all components is <50℃, only the natural air cooling mode of the external cooling radiator (30) is activated. Passive heat dissipation is achieved through adaptive adjustment of the guide plate angle. The cooling pump (1011) is in a dormant state, and the energy consumption is reduced to less than 10% of the traditional mode. Secondary regulation: When 50℃≤any component temperature<70℃, the cooling pump (1011) is started to run at low speed by frequency conversion. The speed is dynamically adjusted by PID algorithm, while the auxiliary brushless DC inverter fan is turned off to achieve a balance between heat dissipation demand and energy consumption. Three-level regulation: When the temperature of any component is ≥70℃, the cooling pump (1011) runs at full speed and the auxiliary brushless DC inverter fan is turned on. At the same time, the branch flow redistribution based on reinforcement learning is triggered to prioritize the cooling of key components such as the gearbox, with a response delay of ≤50ms.
5. A cooling device for a wind turbine generator set according to claim 1, characterized in that: It also includes an environment adaptation module, specifically including: Gradient anti-corrosion components: The cooling pipes are made of 316L stainless steel as the base material and covered with a composite anti-corrosion coating of nano-titanium dioxide and graphene. The thickness of the composite anti-corrosion coating is 50-100μm. Intelligent descaling subsystem: Real-time monitoring of coolant impurity concentration using a high-precision conductivity sensor. When conductivity > 1000 μS / cm, an automatic pulse-type reverse flushing program is initiated with a flushing pressure of 1.5-2.0 MPa. Combined with an ultrasonic descaling device, it achieves a scale removal rate of over 95%. Wide temperature range adaptable components: The coolant uses an integrated antifreeze and anticorrosion ethylene glycol-water mixture. The volume ratio of ethylene glycol can be automatically adjusted within the range of 30%-50% by an intelligent mixing device to ensure that the freezing point is ≤-40℃ and the boiling point is ≥108℃.
6. A cooling device for a wind turbine generator set according to claim 1, characterized in that: It also features energy-efficient waste heat recovery components, specifically including: High-efficiency waste heat exchanger (40): A brazed plate heat exchanger is connected in series at the end of the cooling circuit. The heat exchange efficiency is ≥90%, which can transfer the waste heat of the coolant to the cabin heating pipeline and the battery insulation system in stages. Intelligent energy management valve (50): Based on the ambient temperature and the heat demand of each subsystem, the working mode is automatically switched through the fuzzy control algorithm. When the ambient temperature is <10℃, the waste heat is allocated according to the priority of battery insulation > engine room heating. When the ambient temperature is ≥10℃, the recovery channel is closed and the engine room dehumidification mode is activated in conjunction to control the relative humidity of the engine room at 40%-60%.
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