2047 results about "Liquid cooling system" patented technology

The invention relates to the technical field of liquid cooling, and discloses a server cabinet liquid cooling control method and system based on intelligent liquid cooling distribution, and the method comprises the steps: collecting the temperature, cooling liquid flow, pressure and environmental parameters of each node in a server cabinet in real time through a liquid cooling distribution unit; the load change of the server is predicted based on a dynamic distribution algorithm, and the pump set rotating speed and the valve opening degree of the liquid cooling distribution unit are dynamically adjusted so as to dynamically distribute the cooling liquid flow according to needs; a multi-parameter coupling optimization algorithm is adopted, and the energy efficiency ratio of the liquid cooling system is adjusted according to the temperature, the cooling liquid flow and the pressure; cooling liquid leakage is detected through a multi-mode sensor, a liquid leakage protection mechanism is triggered in a grading mode according to the severity degree of leakage, and the liquid leakage protection mechanism comprises local pipeline isolation and whole system shutdown. The system corresponds to the method. By adopting the method, the energy efficiency improvement and the reliability enhancement of the heat dissipation system of the server cabinet are realized.

The invention discloses a real-time monitoring and fault response control device for an industrial and commercial liquid cooling energy storage system, and particularly relates to the technical field of liquid cooling energy storage fault management. Temperature, pressure, vibration and flow data of key components in a liquid cooling system are collected and preprocessed; a time sequence analysis and signal processing technology is utilized to extract feature vectors reflecting key component states from the multi-dimensional operation data set, the saliency of weak abnormal signals is enhanced, and a key feature set containing weak abnormal features is generated; constructing an anomaly recognition model by adopting a long-short-term memory network, inputting a key feature set, outputting an anomaly probability corresponding to the key component, and setting an early warning threshold value of the anomaly probability to trigger early warning; and predicting a fault maintenance time window of the key component based on a Weibull reliability model, and dynamically adjusting the priority of maintaining the key component and executing preventive maintenance based on a fault maintenance time window prediction result and an abnormal probability.

The invention provides a liquid cooling fusion energy consumption adjustment optimization method and system based on dynamic adjustment, and the method comprises the steps: S1, obtaining the thermal load data of calculation equipment, the state data of a liquid cooling system, the state data of an air cooling system, and the constraint data of the system, and constructing a cooling fusion real-time state map; s2, performing calibration operation on the cooling prediction model based on the cooling fusion real-time state atlas, after calibration is completed, extracting cooling key dynamic feature vectors, obtaining short-time cooling prediction data based on the cooling prediction model and the cooling fusion real-time state atlas, and constructing a cooling conflict objective function; s3, obtaining a cooling random sample set, performing initialization operation on a PSO algorithm based on the cooling random sample set, and generating an optimal control parameter combination; and S4, the cooling system is controlled in real time based on the optimal control parameter combination, the step S1 to the step S4 are executed in a circulating mode, and by means of the method, optimal energy consumption control can be found in real time under the condition that the cooling capacity of the cooling system is kept.

The invention discloses a multi-parameter MPC two-phase liquid cooling energy efficiency optimization distribution control system and method, and relates to the technical field of liquid cooling energy efficiency optimization. The multi-parameter MPC two-phase liquid cooling energy efficiency optimization distribution control system and method comprises the following steps: S1, collecting and preprocessing two-phase liquid cooling control data; s2, the thermal load level of each area is evaluated periodically, a discrete time linear state space model is constructed, and the thermal load change rate is extracted; s3, the cold distribution amount of each area is quantified periodically, the pump speed and the valve opening target value are calculated, and an adjustment control instruction is generated; and S4, high heat risk and low heat stability areas are recognized, the cooling capacity compensation requirement is evaluated, a cooling capacity enhancement and recovery distribution value is output, and a corresponding control instruction is generated. The problems that an existing two-phase liquid cooling system generally only depends on temperature feedback for adjustment, so that cooling capacity distribution response lags behind, a short-time overheating phenomenon is prone to occurring in a high-heat area, and cooling capacity waste exists in a low-heat area at the same time are solved.

The invention discloses a dynamic flow control method for a two-phase cold plate liquid cooling system based on multi-modal sensing, and relates to the technical field of equipment cooling. Comprising the following steps: S1, collecting liquid cooling monitoring data in real time, and performing data preprocessing; s2, judging the state risk of the cold plate, carrying out signal cross validation, and taking an abnormal regulation and control measure; s3, cooling liquid flow regulation and control are carried out, and the matching degree of flow regulation and control and chip thermal load is evaluated, so that flow regulation and control correction is carried out; and S4, constructing a big data modeling and simulation feedback platform, evaluating a flow regulation and control self-healing effect, optimizing each parameter and strategy, and carrying out self-learning evolution. The problems that an existing two-phase cold plate liquid cooling system generally only depends on a single temperature signal, lacks a multi-source redundancy check mechanism, has the problems of response lag, weak local reflection capacity, high risk during failure and the like, consequently, the cooling capacity distribution and adjustment precision is insufficient, and the actual requirement of a high-heat-density data center for heat dissipation is difficult to meet are solved.

The invention relates to the technical field of electronic information, in particular to a multi-band cooperative interference gallium nitride phased-array antenna control method and system. The method comprises the steps of extracting key parameters of electromagnetic signals, and generating a cooperative interference strategy combination; mapping the frequency band optimization weight to a dynamic working mode of the gallium nitride power amplifier unit, adjusting the radiation pattern characteristics of the reconfigurable dipole array according to the power distribution parameters, and constructing a composite beam forming framework; phase weighting and spatial multiplexing are carried out on the interference signals of all the frequency bands based on the composite beam forming architecture, and a multi-beam interference cluster is generated; thermodynamic state data of the gallium nitride power amplifier module in the multi-beam interference cluster generation process are collected in real time, and heat dissipation parameters of the liquid cooling system are regulated and controlled according to the thermodynamic state data. Intelligent collaboration and accurate pointing of multi-band interference signals are realized, the interference coverage range and the energy utilization rate are improved, and an efficient interference system integrating electromagnetic sensing, multi-beam collaboration and thermal management is formed.

The invention discloses a charging pile liquid cooling three-level leakage prevention and pump obstacle prevention intelligent control method and system, and relates to the technical field of liquid cooling control. The charging pile liquid cooling three-level leakage prevention and pump obstacle prevention intelligent control method comprises the steps that S1, liquid cooling monitoring data are periodically collected, and the liquid cooling monitoring data are preprocessed; s2, judging whether an abnormal period exists or not, and evaluating whether a cooling liquid leakage trend exists or not in combination with real-time liquid cooling monitoring data; s3, performing coolant leakage risk grade evaluation, judging the leakage risk grade in the current abnormal period, and executing a corresponding leakage prevention strategy; and S4, in the execution process of the anti-leakage strategy, the running state of the circulating pump is evaluated, and whether the pump obstacle prevention and control strategy is triggered or not is judged. The problem that thermal runaway is caused by the fact that cooling abnormity is not intervened in time due to the fact that leakage of trace cooling liquid in an existing liquid cooling system is difficult to recognize in time and pump obstacles are difficult to pre-judge accurately is solved.

The invention provides a multi-parameter collaborative optimization battery charging and discharging management system integrated with a thermal management technology, and aims to improve the charging and discharging efficiency and safety of a battery and prolong the service life of the battery. The system monitors key parameters such as the temperature, the voltage, the current and the internal resistance of the battery in real time through a high-precision sensor, and the parameters are comprehensively analyzed through the data fusion technology. A core optimization algorithm adopts a genetic algorithm or deep learning, a charging and discharging strategy is dynamically adjusted, and battery performance maximization is achieved. The thermal management module effectively controls the temperature of the battery through a cooling fin, a liquid cooling system or a phase change material, overheating and supercooling are prevented, and the safety and stability of the battery are improved. The user interface is friendly, the battery state is convenient to monitor and adjust, and the system has wide application prospects in the fields of electric automobiles, renewable energy storage and the like.

An electric work vehicle includes a chassis, a battery housing to house a plurality of battery modules, a liquid cooling system, at least one electric motor, and at least one inverter. The liquid cooling system includes a pump, a radiator, and a fan. The battery housing is supported by the chassis. The at least one inverter is electrically connected to the plurality of battery modules and the at least one electric motor. The pump is attached to a back surface of the battery housing. The radiator and the fan are attached on a front surface of the battery housing. The at least one inverter is attached to a side surface of the battery housing that faces a width direction. The at least one inverter and the at least one electric motor are mounted between the fan and the pump in a front-rear direction.

The invention relates to the technical field of electric vehicle power battery thermal management, and discloses a temperature change-based power battery thermal management system, which comprises a thermal simulation pre-judgment end, a sensor network end, a dynamic liquid cooling control end, a BMS decision end and a fault diagnosis module, aiming at the technical defects of out-of-control temperature difference, response hysteresis and leakage risk caused by static flow channel design of the existing liquid cooling system, breakthrough is realized through a three-dimensional technical architecture: a CFD (Computational Fluid Dynamics) prejudgment layer: automatically calibrating sensor distribution points based on temperature field standard deviation, and improving temperature difference identification precision; according to the dynamic valve control layer, an electromagnetic three-way reversing valve is adopted to execute a directional temperature control strategy, an edge battery cell is preferentially introduced under the low-temperature working condition, and heat dissipation is enhanced under the high-temperature working condition; according to the redundant safety layer, the valve body and the pipeline are integrally formed, the leakage rate is reduced, and flow maintenance under single-point failure is achieved through a double-water-inlet parallel pump source. The method has the effects of improving the convergence speed of temperature difference between modules, reducing the attenuation rate of battery life and reducing the risk probability of thermal runaway.

The embodiment of the invention provides a fault monitoring method and device for a liquid cooling system and a server system.The method comprises the steps that the liquid inlet temperature, the liquid outlet temperature and the flow of cooling liquid of the liquid cooling system are obtained in real time, the liquid inlet temperature is the temperature when the cooling liquid enters the liquid cooling system, and the liquid outlet temperature is the temperature when the cooling liquid flows out of the liquid cooling system; the current specific heat capacity of cooling liquid in the liquid cooling system is calculated according to the liquid inlet temperature, the liquid outlet temperature and the flow; and when the difference value between the initial specific heat capacity and the current specific heat capacity of the cooling liquid is larger than or equal to the specific heat capacity threshold value, a first alarm is given out to remind that the cooling liquid of the liquid cooling system goes bad.

The invention discloses a liquid cooling heat dissipation system, a working method of the liquid cooling heat dissipation system and electronic equipment, and relates to the technical field of heat dissipation, the system is applied to the electronic equipment, and the system comprises an infrared thermal imaging assembly, a management control module and a heat dissipation pipeline; the infrared thermal imaging assembly is used for collecting a thermal image of the electronic equipment and uploading the thermal image of the electronic equipment to the management control module; the management control module comprises a heat dissipation regulation and control module which is used for determining the temperature values of the heat dissipation pipeline and the target device in the electronic equipment based on the thermogram and regulating and controlling the flow speed of the cooling medium in the heat dissipation pipeline based on the temperature values of the heat dissipation pipeline and the target device, so that dynamic control over the flow of the cooling medium is achieved, and the cooling efficiency is improved. The technical problems of cooling medium resource waste and low heat dissipation efficiency caused by the fact that the flow of the cooling medium cannot be dynamically adjusted in the prior art are solved, and the technical effects of avoiding cooling medium resource waste and improving the heat dissipation efficiency are achieved.

The invention belongs to the technical field of liquid cooling system control, and discloses a rotating speed prediction and control method for a charging gun liquid cooling system, and the method comprises the steps: obtaining the performance parameters of key parts, including a radiator, a water pump, a fan, a gun line and a liquid storage tank, in the liquid cooling system; inputting the performance parameters into the one-dimensional simulation model to obtain the highest temperature Tcoolant of the cooling liquid under different working conditions; on the basis of the Tcoolants under different working conditions, the relationship between the different working conditions and the Tcoolants is fitted, so that a rotating speed prediction model is obtained; the environment temperature and the gun line resistor heating power under the target working condition are input into the rotating speed prediction model, under the constraint met by Tcoolant, multiple sets of rotating speed combinations meeting the constraint are obtained through prediction, and the rotating speed combination enabling the total energy consumption of the liquid cooling system to be the lowest is selected from the multiple sets of rotating speed combinations to serve as the optimal rotating speed combination of the target working condition; and during charging, the fan rotating speed and the water pump rotating speed are regulated and controlled in real time based on the optimal rotating speed combination. The system has the advantages of advanced adjustment, quick response, energy conservation, high efficiency and the like.

The invention discloses a two-phase immersed liquid cooling liquid level intelligent dynamic regulation and control system and method, and relates to the technical field of liquid cooling intelligent processing. The two-phase immersion type liquid cooling liquid level intelligent dynamic regulation and control method comprises the steps that S1, state observation data, execution control data and log data in the liquid cooling liquid level regulation and control process are collected and preprocessed, and a standardized liquid cooling state data set is constructed; s2, the synchronism of the evaporation strengthening trend is evaluated, and the opening degree of an electronic control valve is adjusted; s3, analyzing a control feasible region under gas-liquid balance constraint, and optimizing the working mode of the two-way pump; and S4, the consistency of the feedback trend and the rolling decision is analyzed, and the circulating flow of the cooling coil and the heat exchange intensity of the condenser are adjusted. The problems that when power consumption of an existing two-phase immersion liquid cooling system changes dramatically, due to lag control of a single sensor and lack of multi-dimensional data prediction, evaporation and liquid supplementing actions are prone to being mismatched, and liquid level decline, pressure abnormity and chip dry burning are caused are solved.

The invention discloses a soaking type liquid cooling system of a power battery box array. The soaking type liquid cooling system comprises liquid cooling battery boxes arranged along a linear array, a cold oil leading-in pipe, a hot oil leading-out pipe and a transition pipe, the cooling liquid from the cold oil leading-in pipe sequentially flows through the left parts of the liquid-cooled battery boxes and then flows into one end of the transition pipe, and the cooling liquid led out from the other end of the transition pipe sequentially flows through the right parts of the liquid-cooled battery boxes and then is discharged through the hot oil leading-out pipe; the problem that the heat absorption efficiency of the cooling liquid on the extending path of the cooling path is gradually reduced is solved.

The invention provides a cooling liquid flow regulation and control method and system for an immersed liquid cooling system, and the method comprises the steps: obtaining a set temperature of the liquid cooling system, obtaining a power interval of a liquid cooling distribution unit and a rotating speed interval of a cooling water pump based on the set temperature of the liquid cooling system, defining a first random process based on a Monte Carlo algorithm, and obtaining a first random liquid cooling sample; defining a second random process based on a random forest algorithm and obtaining a second random liquid cooling sample, executing a particle swarm optimization algorithm on the first random liquid cooling sample to obtain a first optimized liquid cooling regulation and control parameter, executing the random forest algorithm on the second random liquid cooling sample to obtain a second optimized liquid cooling regulation and control parameter, based on the root locus diagram of the liquid cooling second-order transfer function, stability judgment is carried out, and optimized liquid cooling regulation and control parameters or fused liquid cooling regulation and control parameters are obtained; and importing the optimized liquid cooling regulation and control parameters or the fused liquid cooling regulation and control parameters into a liquid cooling regulation and control module, thereby improving the cooling effect of the immersed liquid cooling system on a server or IT equipment.

An information processing device comprises bays to removably receive pluggable modules, a liquid cooling system comprising cold plates in the bays, and a module locking mechanism. The cold plates are movable between an engaged state with the pluggable modules and a disengaged state. The module locking mechanism prevents insertion and removal of the pluggable modules into or out of the bays if the cold plates are in the engaged state, and allows insertion / removal of the pluggable modules if the cold plates are in the disengaged state. The device may also comprise a cold plate engagement mechanism actuatable to move the cold plates between the engaged and disengaged states, and the module locking mechanism may be mechanically coupled to the cold plate engagement mechanism such that actuation of the cold plate engagement mechanism drives the module locking mechanism to switch between preventing and allowing insertion / removal.

The invention belongs to the technical field of power battery cooling, and particularly relates to a flow control method and system for a liquid cooling system of an electric vehicle-mounted power battery, and the method comprises the steps: carrying out the parameterization of a geometric model of the liquid cooling system; establishing an equipment resistance model based on the equipment flow resistance characteristics; initializing flow distribution, constructing a dynamic flow distribution model, calculating the flow of each node and judging whether the flow meets a target requirement or not, and if not, readjusting the flow; calculating the resistance of each section, determining the total resistance of the pipeline, and checking the water pump lift; the flow uniformity is judged by calculating the pipeline resistance between the nodes, and if the flow is not uniform, the flow is redistributed or the pipeline design is optimized until the flow is uniform. Through flow control, the problems of non-uniform flow distribution and poor temperature consistency of multiple battery packs in the prior art are solved, the optimal working state of the power battery is ensured, overheating and overlarge temperature difference are avoided, and the operation efficiency, stability, durability and safety are improved.

The invention relates to the technical field of equipment parameter optimization, and discloses a liquid cooling system parameter optimization method and system for a data center. The method comprises the steps of performing wavelet noise reduction processing on thermal load data of equipment, and constructing a time sequence heat generation model; the thermodynamic model and the time sequence heat generation model are fused to generate a comprehensive heat model, an objective function and constraint conditions are set, and a parameter combination is output; the parameter optimization model generates a standard parameter combination based on the parameter combination, the standard parameter combination is substituted into the parameter optimization model for evaluation, and an optimal parameter combination is output; the operation parameters of the liquid cooling system are adjusted in real time, the actual system operation data of the liquid cooling system are collected, the actual system operation data are compared with the expected equipment thermal load data of the data center, the parameter deviation is obtained, and the operation parameters are dynamically adjusted based on the parameter deviation. According to the invention, the efficiency and accuracy of parameter optimization of the liquid cooling system are improved.

The invention provides a full-automatic vacuum oxygen-free oven, belongs to the technical field of wafer processing, and solves the problems that an existing wafer oven is low in feeding, discharging, heating and baking efficiency; and the automation degree is low. The full-automatic vacuum oxygen-free oven comprises an oven frame assembly, an EFEM frame assembly, two vacuum pump assemblies and four wafer loaders which are evenly distributed at equal intervals, four cavity assemblies and four automatic door assemblies are arranged in the oven frame assembly, and a robot transplanting assembly and a machine control box are arranged in the EFEM frame assembly. A main control computer is arranged on the left side of the EFEM frame assembly, the cavity assemblies are connected with the vacuum pump assemblies on the same side through exhaust pipelines, and the cavity assemblies are connected with an external high-purity nitrogen source. According to the invention, through cooperation of multiple sensors, mechanical linkage and a gas-liquid cooling system in the whole process, full-automatic stable grabbing and loading, vacuumizing treatment, heating, constant-temperature process baking treatment, dual-mode cooling and taking treatment of wafers in an oxygen-free and high-precision temperature control environment are realized.

The invention discloses an integrated battery box body based on a double-circulation liquid cooling system, which comprises a box body, a battery area, a low-flow-rate pipeline, a high-flow-rate pipeline, a cooler and a liquid pump, a plurality of cooling plates are arranged in the battery area, and low-flow-rate flow channels and high-flow-rate flow channels are arranged in the cooling plates; the two ends of the cooling plate are provided with through openings and switching pipes which are in sliding sealing connection with the low-flow-speed flow channels and used for switching the high-flow-speed pipelines to be communicated with the high-flow-speed flow channels through sliding, and air bag assemblies used for pushing the switching pipes to slide through battery heat changes are arranged in the low-flow-speed flow channels. According to the invention, the battery box body is provided with a low-flow-rate pipeline and a high-flow-rate pipeline which can realize double circulation by only one liquid pump, so that the liquid cooling efficiency of the battery is enhanced; and the switching pipe and the airbag assembly are arranged in the cooling plate, so that the flow speed of the cooling liquid is automatically switched according to the battery temperature, and the liquid cooling efficiency of the cooling plate on the battery is enhanced.

The invention discloses an air pressure-boiling point self-adaptive regulation and control system and method of an energy storage immersed phase change liquid cooling system, and relates to the technical field of energy storage systems. The method comprises the following steps: calculating a thermal load of a system in real time, performing multi-objective optimization grading, and dynamically determining an optimal boiling point set value under a current working condition; resolving and obtaining a target air pressure set value by using the air pressure-boiling point relation mapping library; an improved composite control algorithm integrating feedforward control, fuzzy adaptive PID, integral saturation resistance and change rate limitation is adopted to drive an air pressure regulation execution mechanism, and regulation and control of the air pressure in the system are achieved. The system and the method have the advantages of high control precision, high response speed, good stability, high adaptability and the like.

The invention relates to a lithium ion battery pack liquid cooling system temperature prediction method and system based on improved PSO-ABC-BP, and the method comprises the steps: carrying out the lumped modeling of a lithium ion battery pack liquid cooling system, and obtaining a lithium ion battery pack liquid cooling system model; acquiring operation data of the liquid cooling system of the lithium ion battery pack, and performing data preprocessing to form an operation data set of the liquid cooling system of the lithium ion battery pack; designing the structure of a BP neural network according to the battery pack temperature and the temperature influence parameters of the lithium ion battery pack liquid cooling system operation data set; using an improved PSO-ABC algorithm to optimize the initial weight and the threshold value of the BP neural network to obtain a PSO-ABC-BP lithium ion battery pack liquid cooling system temperature prediction model; the method comprises the following steps: acquiring the latest acquired actual operation data of the lithium ion battery pack liquid cooling system, inputting temperature influence parameters into a PSO-BP lithium ion battery pack liquid cooling system temperature prediction model to obtain a temperature prediction value, and combining an improved PSO-ABC algorithm with a BP neural network to seek a better parameter combination, thereby improving the accuracy of a prediction result.

A leakage detection method for a liquid cooling pipeline, comprising the following steps: pretreating a circulation pipeline (2) to remove air in the circulation pipeline (2); regulating the internal pressure of the circulation pipeline (2) to P and then locking the circulation pipeline (2); and after the locked state of the circulation pipeline (2) is kept for a first preset duration S, detecting whether the pressure drop ∆P in the circulation pipeline (2) exceeds a preset threshold, and determining a leakage situation on the basis of the result. The leakage detection method can achieve leakage detection of the whole circulation pipeline (2), has high reliability and low cost, and can reduce the occupied volume of a liquid cooling system. Also provided are a liquid cooling system and a charging pile.

The invention relates to the technical field of energy storage system anomaly detection, and particularly discloses an abnormal state detection method for a liquid-cooled energy storage system, and the method comprises the steps: analyzing the environment where the liquid-cooled energy storage system is located, obtaining the feature value of the environment, analyzing the use state of a cooling system of the liquid-cooled energy storage system, and obtaining the feature value of the environment; judging whether the cooling system is abnormal or not and determining a cooling threshold value of the liquid-cooled energy storage system, analyzing an actual operation state of the liquid-cooled energy storage system, judging whether the liquid-cooled energy storage system is abnormal or not and performing abnormal detection on a battery unit of the liquid-cooled energy storage system, and determining an overheating detection abnormal level of the battery unit; the problem that traditional liquid cooling system anomaly detection depends on a fixed rule or a preset threshold value and lacks intelligent data processing and self-adaptive adjustment capability is solved, the intelligent level of system operation is improved, and the stability and safety of the system are further improved.

The invention belongs to the technical field of heat dissipation of electronic equipment, and particularly relates to a liquid cooling door device for auxiliary heat dissipation of a server cabinet. A liquid cooling door device for assisting heat dissipation of a server cabinet comprises a base plate installed at an air outlet of the server cabinet, the base plate comprises a fixed partition plate and a movable door, a liquid cooling cavity is formed between the fixed partition plate and the movable door, a liquid cooling component and an adjusting component are installed in the liquid cooling cavity, and the liquid cooling component is detachably connected to the fixed partition plate. The liquid cooling component comprises a liquid inlet pipeline and a liquid outlet pipeline which are communicated with each other, and a communication part extends out from the fixed partition plate to the air outlet of the server cabinet; the invention provides a liquid cooling door device for assisting heat dissipation of a server cabinet, and aims to solve the problems that a liquid cooling pipeline in a liquid cooling system in the prior art is complicated in layout and relatively large in occupied space, and the difficulty and the cost of installation and maintenance are relatively high.

The invention discloses a lithium battery thermal runaway risk dynamic regulation and control method and system, and the method comprises the steps: collecting temperature data in a new energy automobile battery module, and constructing a temperature field matrix; judging whether the lithium battery has a temperature risk based on the temperature field matrix; when the temperature risk exists in the lithium battery, risk grades are divided; and based on the divided risk levels, dynamically regulating and controlling the thermal runaway risk of the lithium battery. The differential cooling parameters are determined according to the risk level and the hot spot position, and the control strategy is optimized in real time through feedback data, so that the flow velocity adjustment and heat dissipation power distribution of the liquid cooling system are more scientific and effective, the overall performance of battery thermal management is improved, the risk of thermal runaway of the lithium battery is effectively reduced, and the service life of the lithium battery is prolonged. The method has wide application prospects in the fields of new energy automobiles and the like, and stable operation of the system and personnel safety guarantee can be remarkably enhanced.

Disclosed in the present invention are a liquid cooling system for a charging pile and a control method and control device for a liquid cooling system. The system comprises: a water pump, a water outlet of which is connected to a water inlet of a liquid cooling power module of a charging pile; a water tank, a water outlet of which is connected to a water inlet of the water pump, a coolant being stored in the water tank; a heat exchanger, which has a coolant inlet connected to a water outlet of the liquid cooling power module and a coolant outlet connected to a water inlet of the water tank; an output-coolant temperature sensor, which is arranged at the water outlet of the water pump and is configured to acquire the temperature of the output coolant; and N liquid cooling loops connected in parallel, wherein the N liquid cooling loops share one heat exchanger and one condenser, and the N liquid cooling loops are sequentially connected on the basis of the temperature of the output coolant, so as to cool the coolant that flows into the heat exchanger, where N is a positive integer greater than or equal to 2. The liquid cooling system of the present invention is constituted by the plurality of liquid cooling loops connected in parallel, so that the refrigeration and heat dissipation effects are good, and the reliability of the system is relatively high.

The invention relates to the technical field of data center thermal management, and discloses a data center liquid cooling precise temperature control method and system, and the method comprises the following steps: pre-analyzing a calculation task to generate a power consumption prediction sequence; combining the power consumption prediction sequence with the real-time state information of the liquid cooling system, calculating the heat cost of the task at each candidate calculation node through a digital twin model, and selecting a target execution node according to the heat cost; inputting the power consumption prediction sequence and real-time state information into a reinforcement learning controller, and generating a composite coordination action containing a flow regulation instruction and a dynamic power consumption upper limit instruction; and cooperatively controlling the micro-fluidic execution array and the chip power consumption management unit on the target execution node according to the composite coordination action. Through prospective power consumption prediction and two-way cooperative control from the heating end and the heat dissipation end, intelligent distribution and accurate temperature control of thermal loads are achieved, temperature overshoot is effectively restrained, and the overall operation energy consumption of the data center is reduced while the system reliability is guaranteed.

The present disclosure proposes a liquid cooling system with leak protection and method for cooling liquid leak protection. The liquid cooling system is adapted to a server system including a rack and a server. The liquid cooling system includes: a cooling distribution unit (CDU), a liquid detector, a local leak management device and a central leak management device. The CDU distributes coolant to a cold plate disposed inside the server through a manifold and a water valve. The liquid detector is disposed inside the sever and configured to generate a server leakage event. The local leak management device is disposed inside the rack and configured to control the sever to shutdown after data archiving, close the water valve and output a server leak notification after receiving the event. The central leak management device controls the CDU to reduce a flow rate distributed to the cold plate based on the notification.