1335 results about "Cooling energy" patented technology

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 relates to the technical field of forklift power battery pack management, and discloses a forklift power battery pack management method, device and equipment and a storage medium and system, and the forklift power battery pack management system comprises a dynamic load prediction module, a multi-mode heat management module and a self-adaptive current control module. A dynamic load prediction model optimized through edge calculation is deeply coupled with a multi-mode thermal management system to form a real-time cooperative closed loop, and the problem of lagging of load change and battery temperature rise response is solved. And through closed-loop optimization of data streams among the modules, adaptive adjustment under multiple working conditions is realized, and the service life of the battery and the energy efficiency are remarkably improved under the hardware condition with limited resources. The mechanism of experimental calibration of cooling coefficient and real-time load coupling adjustment effectively balances cooling energy consumption and temperature control requirements, and significantly reduces system energy consumption. And meanwhile, the intelligent adaptability of the system is enhanced by long-term data recording and optimization iteration supported by the cloud platform, so that the system has the capability of continuously optimizing the performance in a complex operation environment.

The invention relates to the field of numerical control machining, discloses a numerical control machining method and system integrating thermal expansion dynamic compensation, and aims to solve the problem that precision is out of control due to thermal deformation in high-speed cutting of motorcycle light alloy castings. The method comprises the steps that distributed temperature and displacement sensors are arranged in a key area of a workpiece, and a temperature field and thermal expansion amount are collected in real time; constructing a local thermal deformation prediction model based on a material expansion coefficient and a geometric structure, and correcting a tool path in real time through a coordinate system dynamic offset algorithm; and an on-line measurement feedback mechanism is introduced, and model parameters are adaptively optimized, so that closed-loop compensation is realized. The system comprises a sensing module, a thermal deformation modeling and compensation calculation module, a coordinate dynamic correction module, an online measurement feedback module and a parameter adaptive updating module. Through millisecond-level dynamic compensation and closed-loop self-optimization, the size precision and form and position stability of the complex thin-wall part under the high-temperature working condition are remarkably improved, the rejection rate and cooling energy consumption are reduced, and the method is suitable for a high-precision batch machining scene.

The invention relates to the technical field of energy storage management, in particular to a high-energy-density liquid cooling energy storage system based on thermal management optimization, which comprises a thermal response calculation module, a thermal risk area identification module, a cooling resource allocation module, a thermal decoupling state judgment module and a charging and discharging power limiting module. According to the method, the inlet temperature, the outlet temperature and the cooling liquid flow speed of the high-energy-density energy storage equipment are obtained, the unit thermal load conversion rate is calculated, the unit thermal response deviation degree is determined, the thermal risk area higher than the standard limit is clearly recognized in the energy storage equipment, the corresponding liquid cooling channel is accurately selected, and the cooling liquid pulse flow frequency is optimized; the pertinence and timeliness of the cooling liquid in actual use are effectively improved, the local overheating hidden danger is avoided, the lag response is marked in time by monitoring the cooling liquid pressure difference and the temperature rise change in real time, the decoupling state between the cooling liquid and the thermal load is judged, the charge and discharge power dynamic reduction measure is implemented, and the trend of abnormal and continuous accumulation of the local thermal load is restrained.

The invention relates to the technical field of heat management of energy storage systems, and discloses a heat management method of an intelligent distributed liquid cooling energy storage system. The method comprises the following steps: acquiring operation state parameters of a plurality of single batteries and optimizing timestamp synchronization; and processing the temperature data by adopting small-batch time series decomposition, and extracting change trend characteristics and abnormal hot spot positions. And based on the information, optimizing a heat exchange control rule base parameter set through a non-dominated sorting strategy, and generating optimized control parameters and priority rules. And in combination with inlet temperature and flow parameters of the liquid cooling system, a tabu search mechanism is utilized to decide a cooling liquid flow distribution scheme, and a branch control instruction is output. And finally, a flow constraint boundary is dynamically adjusted by adopting an approximate gradient projection technology, and a branch and bound strategy is fused to discretize and optimize a distribution path, so that the branch flow is finely regulated and controlled, and the thermal management precision and reliability of the energy storage system are improved. According to the method, the accuracy, adaptability and stability of thermal management of the liquid cooling energy storage system are improved.

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 an intelligent dynamic optimization method and system for the battery temperature of a liquid cooling energy storage cabinet, and particularly relates to the technical field of dynamic optimization of the battery temperature, and the method comprises the steps: obtaining a temperature data set in a battery monitoring region in real time; obtaining a battery operation evaluation coefficient in real time, analyzing the battery operation evaluation coefficient, and determining the operation state of the battery; the operation state of the battery comprises a discharging state and a charging state, and a discharging normal instruction or a charging normal instruction is generated respectively; according to the method, the temperature data set and the battery operation evaluation coefficient are input into the pre-constructed neural network model, the future temperature change can be predicted, the temperature change in the discharging and charging processes is analyzed according to the generated discharging or charging optimization instruction, and the targeted temperature optimization strategy is obtained, so that the battery can be effectively optimized when the battery is discharged or charged. A cooling or current control strategy can be dynamically adjusted according to specific conditions, and the problem of battery overheating or low efficiency is prevented.

The invention discloses a cold and heat supply unit and process capable of deeply utilizing a heat source in the technical field of absorption refrigeration. The cold and heat supply unit comprises a refrigerating unit, a heating unit, a heat source flash tank and a high-pressure absorber. The refrigerating unit utilizes an external heat source to produce cold energy, the heating unit utilizes the heat source used by the refrigerating unit to produce cold energy so as to cool circulating water of the refrigerating unit, and the heat source flash tank utilizes the heat source discharged by the high-pressure absorber to heat; the absorption refrigerating unit is optimally designed, so that the absorption refrigerating unit can deeply utilize a heat source and supply cold and high-level heat energy at the same time, the problem that the heat source utilization rate of the unit is not high is solved, and the requirement for high-temperature heat energy in the production process is met; and low-grade waste heat is converted into cold energy and high-level heat energy, transition and upgrading of energy quality can be achieved, the unit has the cold and heat combined supply function, and the application scene is greatly expanded.

The invention discloses a refrigeration equipment control method and system for a communication machine room, and relates to the field of heat dissipation control, and the method comprises the steps: obtaining machine room indoor temperature and equipment heating data of the communication machine room, and determining a preset refrigeration index according to the machine room indoor temperature and the equipment heating data; the operation parameters of the air conditioning equipment are adjusted to refrigeration operation parameters; when the temperature difference value between the indoor temperature of the machine room and the outdoor environment temperature is higher than a preset starting threshold value, starting parameters of the natural cold energy exchange unit are determined; the natural cold energy exchange unit is controlled to operate according to the starting parameters, and operating parameters of the air conditioning equipment are adjusted to be optimized operating parameters; determining a temperature change trend curve of the outdoor environment temperature based on the weather forecast information, and determining an optimization adjustment node according to the temperature change trend curve; and when the adjusting nodes are optimized, the starting parameters of the natural cold energy exchange unit and the operation parameters of the air conditioning equipment are adjusted. By implementing the application, the energy use of the refrigeration equipment in the communication machine room can be saved.

The invention relates to the technical field of charging pile control, in particular to a charging pile dynamic energy-saving method based on a cooling algorithm, and the method comprises the following steps: carrying out the real-time data collection of a charging pile cooling device, and collecting the temperature and flow velocity of a cooling medium, and the temperature and voltage data of a battery in a charging state; according to the method, the energy consumption evaluation performance function is constructed based on the data, and the analysis of cooling energy consumption optimization is achieved in combination with the charging efficiency. The calculation of the gradient data provides an optimization direction in flow and temperature parameter adjustment, and the unreasonable phenomenon of cooling resource allocation is avoided. Iterative optimization of a parameter adjustment result is combined with continuous monitoring of energy consumption and equipment efficiency, and it is ensured that the cooling system can still operate in a dynamic optimization mode under complex conditions. The prediction analysis of the temperature change range in the peak period is combined with the real-time data to adjust the cooling resource allocation rule, and the adaptability of the cooling system in a complex scene is improved.

The invention discloses a full-immersion type liquid cooling energy storage system and a control method thereof, and relates to the technical field of energy storage control, and the method comprises the steps: installing multiple sensors in a liquid immersion tank, carrying out the calibration, collecting the state data of a battery module and cooling liquid in real time through the calibrated multiple sensors, and obtaining the state data of the battery module and the cooling liquid; the state data of the battery module and the cooling liquid are preprocessed and uploaded to a control center, a Transform model is constructed in the control center, historical state data of the battery module and the cooling liquid are used for training, the trained Transform model is obtained, the preprocessed state data of the battery module and the cooling liquid are input into the trained Transform model, and the state data of the battery module and the cooling liquid are obtained. And obtaining prediction results of the high-risk area position and the expected temperature change value. The invention provides an intelligent control strategy and a multi-sensor network based on a Transform model, and local cooling is realized by monitoring the temperature change of the liquid cooling energy storage equipment in real time and adjusting the flow and path of the cooling liquid in real time.

The invention discloses a lithium ion battery immersed liquid cooling regulation and control method and device, terminal equipment and a storage medium, and relates to the field of lithium ion batteries, and the method comprises the steps: obtaining the current temperature data, historical temperature data and cooling liquid fluid parameters of a distributed array in a lithium ion battery, and determining the current temperature field distribution and predicted temperature field distribution; constructing a state space, and inputting the state space into the reference decision model, so that the model outputs corresponding actions according to the current state space by taking the minimum temperature difference of the battery module and the minimum cooling energy consumption as awards; according to the corresponding action, the micro electromagnetic valve and the cooling liquid pump are subjected to benchmark regulation and control; acquiring temperature data after reference regulation and control, and determining temperature deviation in combination with a preset temperature requirement; and regulating and controlling according to the temperature deviation. By implementing the method and the device, the stability of global temperature control is improved, so that the problem of temperature interference on other areas due to cooling liquid flow coupling caused by directly adjusting the opening degree of the valve according to local temperature difference in the prior art is solved.

The invention relates to the technical field of industrial control, and discloses an energy-saving air conditioner intelligent control system which comprises an edge computing node, a dynamic load prediction module, a self-adaptive control module, an energy consumption optimization evaluation module and a fault diagnosis module. A data acquisition module, a real-time control module and a communication interface are integrated; based on the historical environment data and the air conditioner operation log, a long-short-term memory network model is adopted to predict the expected load demand in 2-4 hours in the future; dynamically adjusting the operation number of chilled water units, the frequency conversion frequency of water pumps and the opening degree of fresh air valves according to the expected load requirement; the unit cold energy consumption of a single air conditioner is calculated in real time, and a global optimization instruction is generated in combination with a time-of-use electricity price strategy; motor current harmonic characteristics are collected through the edge calculation nodes, the abnormity of the air conditioner is recognized, graded response is conducted, the intelligent control efficiency of the energy-saving air conditioner is improved, and the overall energy consumption cost of the air conditioner is reduced.

The invention relates to the technical field of energy-saving control, in particular to a data center machine room comprehensive energy-saving control system and method adopting a liquid cooling mode, and the system comprises an equipment monitoring space and a hierarchical energy-saving control module, and the equipment monitoring space module monitors the working state and temperature of machine room equipment and a liquid cooling device thereof in real time through a state monitoring unit; a clustering monitoring network is constructed by using a clustering monitoring network construction unit, fine monitoring of equipment cooling energy-saving control is realized, a hierarchical energy-saving control module generates a first-level node coordination control strategy through a federated distributed control unit, and generates a second-level difference cooling energy-saving control strategy through an edge difference control unit. In addition, the system further comprises a flow distribution adjustment and evaluation feedback module, the flow distribution adjustment and evaluation feedback module distributes and adjusts the flow of the cooling liquid according to a control strategy, the flow distribution adjustment and evaluation feedback module evaluates cooling energy consumption in real time and feeds back and adjusts the control strategy, and refined monitoring and graded energy-saving control over equipment in the machine room can be achieved.

The invention discloses an immersed liquid cooling energy storage battery box, and belongs to the technical field of outdoor integrated cabinets. The box body assembly comprises a box body and a cover plate covering the top of the box body, a baffle is arranged at the bottom of the box body, the baffle is arranged in a guide groove, a liquid inlet is formed in the bottom end of the end of the box body, and a liquid outlet is formed in the top end of the end of the box body; the battery assembly comprises a battery module which is arranged on the baffle and is composed of a plurality of battery cells, overflow runners are formed among the battery cells through isolation pads, and the guide grooves are communicated with the overflow runners; cooling liquid enters from the liquid inlet, is shunted to the overflow flow channel through the guide groove and flows between the bottom of the box body and the battery cell; the cooling liquid adopted by the invention is an insulating cooling liquid, the PACK adopts a totally-closed pressure-bearing design, the system pressure can meet 0.2 mPa, negative pressure vacuumizing liquid injection is performed, a reasonable flow channel is constructed, the cooling liquid heat dissipation capability is improved, the front and rear temperatures of the battery cell are basically consistent, and the temperature rise of the battery cell is reduced.

The invention discloses a water-cooling energy consumption adaptive regulation and control method suitable for a data center, and the method comprises the following steps: obtaining a multi-dimensional operation parameter set of the data center in real time, and generating a real-time thermal load density distribution diagram reflecting the heat distribution condition in a machine room; calculating the overall thermal deviation degree and the local hot spot intensity, and solving through a dynamic energy efficiency optimization function to obtain a target system supply and return water temperature difference and a target cooling liquid flow; inputting into a hydraulic and thermodynamic simulation model, and generating an optimal multi-device coordinated regulation instruction set; and executing the multi-device coordinated regulation instruction set, and then performing parameter calibration on the hydraulic and thermodynamic simulation model. The method has the following advantages and effects that the thermal environment of the machine room can be sensed in real time, the energy consumption and heat dissipation requirements can be intelligently balanced, and multiple devices in the cooling system can be cooperatively regulated and controlled, so that the overall energy consumption of the cooling system is optimized while the local overheating risk of the machine room is thoroughly eliminated.

The invention discloses a multistage safety response control method of an industrial and commercial liquid cooling energy storage system, and relates to the technical field of electric energy storage systems, a sensor network collects an operation state data time sequence matrix, and abnormal data cleaning is carried out on the time sequence matrix; the method comprises the following steps: preprocessing a vibration signal of a cooling system, extracting characteristic data of abnormal vibration through Fourier transform and energy distribution analysis, and positioning a time-frequency distribution abnormal region; generating a time sequence multivariable data set according to the characteristic data of the abnormal vibration, determining a cause label according to the fused time sequence multivariable data set, obtaining the inherent frequency and the resonant frequency of the cooling system in combination with simulation analysis, and matching and determining the cause of the abnormal vibration; an LSTW neural network is used for predicting the abnormal resonance risk, and corresponding countermeasures are taken for the cooling network according to the prediction result; unnecessary vibration caused by error adjustment is avoided, the relation between cooling efficiency and safety is balanced, and unnecessary power loss is reduced.

The invention belongs to the field of thermal control and energy conservation of energy storage cabinets, and particularly relates to an intelligent energy-saving control method and system for a liquid-cooled thermal management system of an energy storage cabinet, and the method comprises the steps: obtaining the working state data of the energy storage cabinet and the data of the thermal management system, and introducing an electrothermal conversion model and an energy-saving cooling control model at the same time; secondly, based on the working state data of the energy storage cabinet and an electrothermal conversion model, accurately calculating electrothermal conversion efficiency and a charge-discharge-temperature rise mapping space; thirdly, inputting data of the charging and discharging-heating mapping space and the thermal management system into the energy-saving cooling control model, and generating a first cooperative control parameter and instruction; and finally, parameters and instructions are fed back to a cooperative control device, so that the state change time point and the cooling output power of the liquid cooling unit are accurately controlled, and the boosting rate of the energy storage cabinet is adjusted. According to the method, the accurate time point of cooling is effectively mastered through the accurate mapping space of the heating and cooling processes, the cooling efficiency is improved, and the cooling energy consumption is reduced.

The invention relates to the technical field of liquid cooling energy storage control, in particular to an efficient liquid cooling energy storage system and a control method thereof, and the system comprises a path monitoring module, a path recognition module, an abnormality marking module, a switching execution module and a path reinspection module. According to the method, through combined calculation of the main channel pressure change rate and the outlet pressure deviation value, early recognition of the cooling efficiency attenuation trend is achieved, the channel abnormity sensing precision is improved, the temperature recovery rate is introduced to serve as a heat release accumulation criterion, the dynamic judgment capacity for heat retention is enhanced, and the cooling efficiency is improved through a double abnormity parallel judgment mode. Misjudgment is avoided, early warning accuracy is improved, main and standby channel switching is implemented, an independent cooling path structure is formed, pressure and temperature fluctuation is dynamically rechecked after a standby path is started, stable switching is ensured, the continuous monitoring capacity is achieved, and a parameter trend recognition, path reconstruction and state verification closed-loop mechanism is integrally constructed. And the operation stability and the thermal control reliability of the energy storage system are improved.

The invention provides a system-level collaborative water-cooling energy-saving control device and method based on AI fusion refrigeration, and the device comprises an edge calculation unit which is used for receiving the operation working condition parameters, the output working condition and refrigerating capacity prediction information of a refrigeration system, and a water-cooling system control strategy; the cooperative control unit is used for receiving the control strategy pushed by the edge computing unit and performing cooperative control on each device of the water cooling system; the collecting unit is used for collecting operation parameters of the refrigerating system. By establishing the complete system energy consumption model and the multi-constraint optimization algorithm, global optimization control over equipment such as a water chilling unit, a water pump and a cooling tower is achieved.

The invention discloses a data center refrigeration energy consumption short-term prediction method based on feature screening-fusion and deep learning. The method comprises the following steps: 1) acquiring historical refrigeration energy consumption of a data center and historical refrigeration energy consumption influence factor data; calculating the correlation between each refrigeration energy consumption influence factor data and the refrigeration energy consumption, extracting the refrigeration energy consumption influence factor data with the correlation greater than a preset threshold as refrigeration energy consumption characteristic data, and constructing an input characteristic matrix X; (2) a refrigeration energy consumption short-term prediction model based on SEN-MH-BiLSTM is constructed; 3) training a refrigeration energy consumption short-term prediction model based on SEN-MH-BiLSTM by using the sample data set to obtain a refrigeration energy consumption short-term prediction optimal model; and 4) predicting the refrigeration energy consumption of the data center at the future t time by using the refrigeration energy consumption short-term prediction optimal model. According to the method, the dependency relationship between the refrigeration energy consumption of the data center and the characteristic sequence can be better mined, and the prediction precision of the refrigeration energy consumption of the data center is effectively improved.

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 discloses a thermal management method and device for a liquid cooling energy storage system and electronic equipment, and belongs to the technical field of energy storage systems, and the method comprises the steps: obtaining the temperature value of each single battery in a battery stack corresponding to any liquid cooling unit according to a preset collection period; on the basis of the obtained temperature value of each single battery, when it is determined that the thermal management requirement is met, controlling a BMS management mode to be started; determining a target temperature parameter of the cell stack based on the obtained temperature value of each single cell; determining a target control strategy based on the target temperature parameter of the cell stack and a temperature threshold value corresponding to a preset control strategy; and if the current operation state of any liquid cooling unit meets the execution condition, controlling any liquid cooling unit to execute the target control strategy. And the BMS uniformly controls the liquid cooling unit corresponding to the whole battery stack to execute the target control strategy according to the battery temperature, so that the temperature rise between the battery clusters is consistent, the current between the clusters is consistent, and the performance of the whole energy storage power supply system is improved.

The invention relates to the technical field of energy storage cabinets. The immersed liquid cooling energy storage cabinet comprises an energy storage cabinet body, a storage cabin is arranged in the energy storage cabinet body; the storage cabin comprises a liquid cooling cabin, a battery cabin and an electrical cabin; the liquid cooling cabin, the battery cabin and the electrical cabin are sequentially distributed in the energy storage cabinet body at intervals; an independent liquid cooling cabin is arranged; the liquid cooling machine can be independently moved outwards, and the situation that when a traditional liquid cooling machine is arranged in an electrical cabin or a battery cabin, the liquid cooling machine is not cooled in time or leaks liquid, and devices in the corresponding cabin are damaged is avoided; according to the invention, the liquid cooling cabin, the battery cabin and the electrical cabin are arranged in different areas; the overall layout of the energy storage cabinet is simpler, the subsequent battery box is convenient to disassemble and assemble, and after-sales maintenance is facilitated; meanwhile, by means of zoning arrangement, liquid such as traditional cooling liquid can be prevented from being discharged in a zoning mode when leaking, and the risk that devices in the electrical cabin are soaked is avoided.

The invention discloses a liquid cooling energy storage power station intelligent temperature control system based on DNN and fuzzy logic, and relates to the technical field of energy storage. Comprising a data acquisition and multi-dimensional preprocessing module used for acquiring liquid cooling energy storage multi-source working condition data in real time, performing feature extraction and performing data preprocessing; the DNN depth temperature prediction module is used for constructing a DNN depth temperature prediction model, predicting the temperature of the battery pack, identifying an overtemperature risk and taking safety guarantee measures; the fuzzy logic intelligent decision module is used for predicting the flow of the cooling liquid and implementing a temperature control regulation decision; and the execution and feedback self-optimization closed loop module is used for correcting the flow of the cooling liquid and realizing a self-learning evolution closed loop of temperature control regulation. The problems that an existing liquid cooling energy storage power station temperature control system is poor in non-linear and dynamic change adaptability, insufficient in temperature control precision and response speed and poor in energy consumption optimization, complex heat management requirements cannot be met, and then comprehensive operation performance is reduced are solved.

The invention belongs to the technical field of motors, and relates to a vertical magnetic suspension motor. On the basis of the magnetic bearing control module, the cooling control module and the control evaluation module, closed-loop control of the rotor stably suspending at the target position is achieved, oscillation and steady-state errors are reduced, and the control precision is effectively improved; by dynamically calculating the temperature gradient difference and the cooling power regulation and control value and combining the PID controller and the liquid cooling / air cooling cooperation strategy, on-demand cooling is achieved, the cooling energy consumption is reduced, the temperature balance is improved, and the problems of local overheating or too high energy consumption are avoided; by performing normalized weighted analysis on key parameters such as magnetic bearing energy efficiency and cooling efficiency, feeding back control evaluation coefficients in real time and guiding system parameter optimization, the stability and reliability of long-term operation of the motor are ensured, the failure rate of the motor is reduced, the functional integrity is ensured, and system-level optimization is facilitated.

The invention discloses an intelligent management method and system for a distributed liquid cooling energy storage system. The method comprises the following steps: identifying a sound wave reflection signal of which a sound wave reflection source type is a bubble; determining a bubble static gathering area based on the positions of the bubbles and the distance between the bubbles; calculating a fluid retention degree index in the bubble gathering area, and judging the fluid retention degree in the bubble gathering area; judging whether a local overheating risk exists in the bubble static gathering area with the serious fluid retention degree or not; predicting the temperature, bubble size and data of a bubble static aggregation area in a future preset time period, and determining a time point of a local overheating risk; and evaluating and optimizing the accuracy of the bubble size prediction model, the fluid retention degree index formula and the local overheating risk evaluation model. Through the technical method provided by the invention, the accuracy of bubble monitoring, the timeliness of overheating risk assessment and the optimization efficiency of the cooling effect in the liquid cooling energy storage system are remarkably improved, the service life of equipment is prolonged, and the maintenance cost is reduced.

The invention discloses a manufacturing method of a silicon steel continuous casting billet, which comprises the following steps: the thickness of a liquid slag layer of adopted casting powder is within 10-18mm, the viscosity of the casting powder is within 0.20-0.29 Pa.S, and the melting point is within 1000-1110 DEG C; the liquid level fluctuation of the molten steel is kept within + / -3mm; and the secondary cooling area is cooled by adopting a process system that the cooling water amount is sequentially reduced in the casting blank drawing direction. According to the method, parameters such as the thickness of a casting powder liquid slag layer, the viscosity of the casting powder, the melting point, the superheat degree of tundish molten steel, stirring current and the like are controlled, and a secondary cooling area is divided into a high-temperature strong cooling process system and a low-temperature weak cooling process system in the throwing direction for cooling. And silicon steel production has the characteristics of high pulling speed, few defects, high equiaxed crystal rate, high casting blank temperature and the like.

The invention relates to the technical field of industrial liquid cooling energy storage cabinets, in particular to a distributed industrial liquid cooling energy storage cabinet capable of being rapidly installed. The circulating bearing assembly is used for supporting the assembly mounted in the energy storage cabinet body assembly and realizing circulating flow of the liquid cooling liquid; and the energy storage electric box assembly is used for placing the energy storage battery assembly, and a liquid cooling heat absorption assembly is arranged in the energy storage electric box assembly. The circulating flow of the cooling liquid for liquid cooling can be fully completed, the heat dissipation area during backflow of the cooling liquid can be enlarged through the multiple heat dissipation plates, and the potential energy of the cooling liquid is converted into power for operation of parts in the recovery pipe and parts in the pneumatic heat dissipation assembly, so that the flowing speed of air in the energy storage cabinet assembly is increased, and the heat dissipation efficiency is improved. According to the energy storage cabinet, gas can conveniently flow from the surface of the energy storage electric box assembly and the surface of the heat dissipation plate, the heat dissipation efficiency is improved, the temperature of backflow cooling liquid can be fully reduced, and heat dissipation and cooling operation of the energy storage cabinet is achieved.

The invention relates to the technical field of energy storage batteries, and provides an immersed liquid cooling energy storage PACK box. The battery compartment is placed by arranging the outer frame, so that the stability of the battery compartment is ensured; the main box body of the battery cabin is formed by bending, so that the forming difficulty of a single stamping part is reduced, and the integral sealing performance is improved by performing aluminum brazing connection on the main box body and the corner fittings; according to the liquid cooling plate, efficient heat management and low-flow-resistance operation are achieved through three-inlet and one-outlet flow channel layout and optimal combination of confluence of three parallel inlet flow channels and one outlet flow channel; the battery cells of the battery module are completely immersed in the insulating cooling liquid, and the insulating cooling liquid adopts mineral oil or fluorinated liquid, so that through the composite cooling design of heat dissipation of the static immersion liquid and the bottom liquid cooling plate, the problem of liquid circulation existing in traditional immersion type cooling is effectively solved, the auxiliary heat conduction function of the immersed insulating cooling liquid is fully exerted, and the service life of the battery module is prolonged. And in cooperation with the liquid cooling plate, the system temperature difference is successfully controlled at an excellent level of 3 DEG C, and the overall heat dissipation efficiency is remarkably improved.