1087 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 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 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 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 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 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 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 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 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.

The invention relates to the technical field of intelligent fire extinguishing control of energy storage power stations, in particular to a method and system for plasma protection of thermal runaway of an air-cooled energy storage power station. The method comprises the following steps: processing real-time data acquired by a multi-source sensor through a dynamic risk assessment model to obtain a risk level and an early warning level; an initial control instruction for the plasma generator and the air cooling and refrigerating system is formed according to the risk level and the early warning level; the initial control instruction is processed to form a driving control signal; a control signal is subjected to cooperative execution processing to obtain a high-energy active particle jet flow, a forced airflow and a refrigeration effect. The system comprises an air cooling box body, a battery, a fan, a plasma generator, an ejector, an intelligent controller, a compressor, a gas-liquid separator, a heat exchanger, an electronic expansion valve, a drying filter, a gas sensor and a pressure sensor valve. The safety and reliability of the energy storage power station are improved.

The utility model discloses a double-air-duct industrial and commercial air-cooled energy storage cabinet, which comprises an energy storage cabinet body, the rear side of the energy storage cabinet body is connected with a rear door assembly through a hinge, the inner walls of the two sides of the energy storage cabinet body are connected with symmetrically distributed plug box supporting beams, battery plug boxes are inserted between the upper and lower adjacent plug box supporting beams, and the upper and lower adjacent plug box supporting beams are connected with the battery plug boxes. According to the utility model, external air enters the cold air duct through the condensation air inlet and the evaporation air supply outlet, and cold air is sequentially fed into the battery plug-in box and the bottom of the energy storage cabinet body to cool the battery plug-in box and the high-voltage box; and meanwhile, hot air is discharged from the other side of the battery plug-in box, rises, enters the hot air duct under the suction force of the evaporation return air inlet and is discharged from the condensation air outlet through the hot air duct and the evaporation return air inlet, so that internal air is circulated, and the heat dissipation efficiency is improved.

The invention provides a power battery temperature control method and device, a vehicle, electronic equipment and a medium, and the method comprises the steps: obtaining a charging target SOC and a battery temperature threshold value of a power battery, collecting a current battery SOC and a current battery temperature of the power battery, and a current cooling liquid temperature of a cooling liquid, the battery SOC and the battery temperature of the power battery are subjected to iterative calculation according to the collected data until the battery SOC obtained through iterative calculation reaches the charging target SOC so as to obtain the estimated battery temperature of the power battery at the end of charging, and if the estimated battery temperature is larger than a battery temperature threshold value, the cooling liquid is controlled to cool the power battery; according to the method, the battery temperature at the end of charging can be accurately pre-estimated, the overhigh battery temperature can be pre-judged in advance, the cooling liquid can be immediately triggered to cool the power battery once the overhigh battery temperature is pre-judged, the overhigh temperature of the power battery in the charging process can be effectively avoided, and the charging efficiency and safety of the power battery are ensured.

The utility model relates to a fuel cell flow field plate for combined cooling of water cooling and air cooling, which comprises a rectangular graphite plate, water cooling channels and hydrogen channels are formed on the upper side and the lower side of the graphite plate, and a plurality of vertically distributed air flow grooves are formed on the front end face of the graphite plate. An air outlet and an air inlet penetrating through the rear end face of the graphite plate are formed in two ends of the air flow groove respectively; an air outlet notch and an air inlet notch which are communicated with the air outlet hole and the air inlet hole are respectively formed in two side edges of the graphite plate. According to the flow field plate, a plurality of air inlets are formed in the side edge of the flow field plate and matched with a designed large-flow air groove, a common fan can be adopted for air supply and oxygen supply, meanwhile, a water pump can be adopted for cooling to be matched with a cold water system of an electric pile for cooling, and uniform temperature control and oxygen supply can be guaranteed.

The utility model relates to the field of natural gas dehydration, and discloses a natural gas cold energy dehumidification system which comprises a dehumidification structure and a water storage buffer tank, a flow meter is arranged on a gas inlet pipe of a high-pressure natural gas pipeline, the dehumidification structure comprises a dehumidification box body communicated with the high-pressure natural gas pipeline, and a heat exchange pipeline is arranged in the dehumidification box body. Low-temperature flash steam circulates in the heat exchange pipeline, a flow control valve used for controlling the flow of the low-temperature flash steam is arranged on the heat exchange pipeline, the bottom of the dehumidification box communicates with a water storage buffer tank through a pipeline, and a drainage valve is arranged at the bottom of the water storage buffer tank. Natural gas in the high-pressure natural gas conveying pipeline is cooled through low-temperature flash steam guided out of the LNG storage tank, so that water vapor mixed in the natural gas is liquefied when meeting cold, collected condensate water is discharged in time, the dehumidification system can continuously and automatically work, the water vapor content in the natural gas is reduced, and the energy consumption is reduced. The dehumidification device has the advantages of simple structure, low cost and excellent dehumidification effect.

The utility model discloses a liquid cooling energy storage cabinet, which sequentially comprises a base, a control layer, a refrigeration layer and a battery layer from bottom to top, the control layer, the refrigeration layer and the battery layer are integrated in a cabinet body, a control module is arranged in the control layer, the control module is connected with the refrigeration layer and the battery layer through wires, and the control module is connected with the refrigeration layer and the battery layer through wires. A liquid cooling battery pack is arranged in the battery layer, a liquid cooling unit is arranged in the refrigerating layer, and the liquid cooling unit is connected with the liquid cooling battery pack through a liquid cooling pipeline. According to the liquid cooling energy storage cabinet, the control layer, the refrigeration layer and the battery layer are integrated in the cabinet body and are arranged on the base, the alternating current and direct current integrated structural design that the control layer, the refrigeration layer and the battery layer are stacked up and down is adopted, the structure is compact, compared with a traditional split cabinet, the weight and size are greatly reduced, the occupied area is small, the space utilization rate is high, and the machining cost is reduced; manual installation workload is reduced, the size is reduced, the field installation number is increased, the size is smaller, and transportation is convenient.

The invention discloses a mine underground cooling and dehumidifying heat exchanger and an implementation method thereof. The condensate water heat exchange unit is additionally arranged before air enters the refrigerant heat exchange unit, the problem that cold energy of condensate water is wasted during dehumidification is solved, and the heat exchange efficiency of the refrigerant heat exchange unit is improved; the condensate water heat exchange unit and the refrigerant heat exchange unit are inclined and are arranged in a crossed mode in the inclined direction, and the turbulent flow effect of an air channel is improved. Outlets of condensate water and refrigerant fluid are in contact with air preferentially, so that countercurrent flow heat exchange is realized when the air exchanges heat with water and refrigerant, the heat exchange temperature difference is larger, and the efficiency is higher; the fin units are arranged in a bent mode, so that condensate water on the heat exchange tubes flows to a water tank below more accurately and quickly through bent grooves. A water tank is arranged below the heat exchange pipe to collect condensate water, and the loss of cooling capacity is reduced by utilizing residual cold of the condensate water through the condensate water heat exchange unit; the system is used for underground cooling and dehumidification, the underground cooling capacity is utilized to the maximum extent, the efficiency of the heat exchanger is improved, and the energy utilization rate is increased.

The invention discloses a battery module ejection fire-fighting device in a liquid cooling energy storage system battery compartment and a working method, and belongs to the technical field of energy storage battery fire fighting. Comprising an ejection mechanism used for ejecting the liquid cooling energy storage battery module along a battery rack when being triggered, ejection window plates used for plugging ejection windows formed in a container cabin door of the liquid cooling energy storage system in a one-to-one correspondence manner, and a control mechanism used for linking the liquid cooling energy storage system, the ejection mechanism and the ejection window plates. Hydraulic driving and explosion-proof motor linkage control are adopted, the popping action of the battery module is completed immediately after a thermal runaway signal is detected, through the collaborative design of the popping mechanism and the popping window plate, high-temperature flue gas convection and a combustible gas diffusion path are effectively cut off, and thermal runaway spreading is avoided; meanwhile, through three-dimensional monitoring of the battery module-level composite detector and the cabin-level monitoring assembly, a multi-level detection system is formed, and rapid physical isolation and directional removal of the thermal runaway battery module are achieved.

The invention discloses a state monitoring method for a two-way liquid cooling energy storage system, and belongs to the field of energy storage system monitoring. According to the method, the problem that the system state is difficult to accurately monitor in real time in the prior art is solved, the detailed operation state of the system can be mastered in real time through comprehensive data acquisition, the data quality is improved through filtering, denoising and normalization operation in the data processing link, a foundation can be laid for subsequent accurate evaluation, and the system reliability is improved. Potential faults can be found in time through state evaluation and abnormal early warning links, fault positions and reasons are accurately positioned in combination with a fault diagnosis algorithm, the maintenance time is effectively shortened, fault risks are reduced, system operation parameters are automatically adjusted according to evaluation and diagnosis results in an operation optimization link, and the system reliability is improved. And the cooling liquid flow, the temperature and the battery charging and discharging strategy are optimized, so that efficient and safe operation of the two-way liquid cooling energy storage system is guaranteed.

The embodiment of the invention provides a liquid cooling energy storage system and a control method. The liquid cooling energy storage system comprises an energy storage module, a liquid supply pipeline, a liquid return pipeline and at least two groups of liquid cooling machines, each group of liquid cooling machines comprises at least one liquid cooling machine, liquid outlets of different groups of liquid cooling machines are communicated with the liquid supply pipeline in parallel, liquid return ports of different groups of liquid cooling machines are communicated with the liquid return pipeline in parallel, the liquid supply pipeline is communicated with a liquid inlet of the energy storage module, the liquid return pipeline is communicated with a liquid return port of the energy storage module, and the liquid cooling machines are used for providing cooling liquid. When the heating value of the energy storage module is small, only part of the liquid cooling units need to be started, and compared with a liquid cooling unit with large power in the prior art, the liquid cooling unit is low in energy consumption, high in efficiency and low in noise during operation. And when any one liquid cooling machine breaks down, other liquid cooling machines can still provide the required cooling capacity, the heat dissipation requirement of the energy storage module is met, and the maintenance flexibility is improved.

The invention relates to the technical field of lithium batteries, in particular to a lithium battery waste heat utilization system. According to the invention, through the ingenious series connection and heat exchange design of the cooling liquid loop, the low-grade waste heat of the lithium battery is recovered and utilized to the maximum extent. According to the system, the cooling liquid absorbing the heat of the battery is sequentially used for driving the data center to cool, pre-cooling return air of the refrigerating system and finally cooling with a low-temperature secondary refrigerant of the ice storage system. According to the process, gradient utilization of heat is achieved, cooling energy consumption of the data center and the refrigerating system is remarkably reduced, the ice making efficiency of the ice storage system is improved, the comprehensive utilization rate of energy is greatly improved on the whole, and the purposes of saving energy and reducing consumption are achieved.

The invention relates to the technical field of battery thermal safety management, and discloses an energy storage battery thermal runaway intelligent early warning method and system based on machine learning, and the method comprises the steps: obtaining an energy storage system cooling layout parameter and a sensor data flow, generating a data missing mode recognition result containing a missing time period, a missing position and a missing type; probability distribution of temperature and flow physical quantity of the missing sensor is inferred through a message passing mechanism, and a numerical value distribution inference result of the missing sensor is output; posterior state distribution is calculated through Bayesian reasoning, and a virtual-real mixed thermal state estimation result is generated; and analyzing a thermal state estimation result based on a confidence coefficient weighted multi-objective optimization algorithm, constructing a multi-objective function including weighted risk minimization and cooling energy consumption cost minimization, and outputting a cooling control instruction. The technical problem that a traditional digital twinning system is highly dependent on data integrity is solved.

The utility model belongs to the technical field of magnetic suspension natural gas differential pressure power generation cold energy utilization, and discloses a magnetic suspension natural gas differential pressure power generation cold energy utilization system which comprises a first magnetic suspension natural gas differential pressure power generation system. The cold energy output end of the first magnetic suspension expansion generator is connected with a first heat exchanger and a second magnetic suspension natural gas differential pressure power generation system through gas pipelines, and the second magnetic suspension natural gas differential pressure power generation system comprises a second magnetic suspension expansion generator. The cold energy output end of the second magnetic suspension expansion generator is connected with the input end of the first heat exchanger through a gas pipeline, and a second monitoring module and a second flow adjusting valve are sequentially installed on the gas pipeline between the second magnetic suspension expansion generator and the first heat exchanger. The input end of the second magnetic suspension expansion generator is further connected with a temperature rising assembly. According to the utility model, cold energy can be utilized, and the energy utilization rate is improved.