758 results about "Cooling energy" patented technology

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 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 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 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 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 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 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 copper-based composite phase change material photovoltaic energy storage and cooling coupled system and method covers power generation, cooling energy storage, energy conversion and other modules. During the day, the solar photovoltaic panel generates heat, the copper-based composite phase change material absorbs heat and stores energy and cools the photovoltaic panel; at night, the phase change material releases heat, and the thermoelectric material converts thermal energy into electrical energy. The system uses the DDPG algorithm of deep reinforcement learning to optimize operation. The state space includes solar photovoltaic panel temperature, phase change material temperature and other parameters, and the action space involves controlling cooling energy storage, energy conversion and other operations. The reward function is designed from multiple aspects such as efficiency, energy storage, power output and stability. By constructing a policy network and a value network, the system can make decisions according to environmental changes. Data is extracted from the experience replay buffer to update network parameters, allowing the system to adaptively adjust. The system not only solves the problem of high temperature of photovoltaic panels and night power generation, but also uses algorithms to improve energy utilization efficiency, which is far superior to traditional photovoltaic systems in performance.

The invention relates to the technical field of phase change liquid cooling energy storage, in particular to an immersed phase change liquid cooling battery thermal load dynamic modeling and prediction method, and the method comprises the steps: dividing the surface of a battery into n independent calculation regions based on the geometric structure and thermal characteristics of a battery module, static thermal resistance coefficients, dynamic thermal capacity coefficients and thermal diffusion weight coefficients of all the areas are simulated and calibrated through experiments and computational fluid mechanics, and a calibrated parameter matrix is stored in a nonvolatile memory of a BMS; the method comprises the following steps: acquiring battery temperature data at high frequency through a multi-source sensor network arranged in each partition, performing Kalman filtering and derivation calculation through a preprocessing module of a data processing layer to obtain a temperature change rate, calling a pre-stored coefficient by a regionalization modeling module, and calculating an instantaneous thermal load of each partition and a total thermal load of the module; a traditional'uniform temperature body 'hypothesis is broken through, a battery module is divided into a plurality of subareas, and the device is particularly suitable for capturing a non-uniform heat phenomenon caused by non-uniform flow field and local bubble generation under an immersed liquid cooling condition.

The invention discloses an energy storage container thermal management self-evolution control method based on digital twinning-reinforcement learning, and the method comprises the steps: building an electric heating and cold aging multi-scale coupling digital twinning body, and achieving the millisecond prediction of a temperature field of a battery cluster; quantum-classical hybrid optimization layered reinforcement learning is adopted, QAOA global optimization is performed on an upper layer, DPPO fine tracking is performed on a lower layer, temperature difference, energy consumption, service life and safety are dynamically weighted by a reward function, and a strategy is formed after safety barrier verification; according to the strategy, on-line iteration is carried out through a cloud-edge-end collaborative federated migration framework, a variational Bayesian self-adaptive remodeling twin model is utilized, and millisecond-level closed-loop control is achieved in cooperation with a photon neural network chip. According to the system, data can be self-supervised and complemented through a diffusion model in a sensor missing scene, and the robustness is continuously improved through curriculum-type reinforcement learning. Experiments show that the temperature difference of the battery pack in the 20ft 3 MWh lithium iron phosphate container is reduced to 1.4 DEG C, the cooling energy consumption is reduced by 27%, and the cycle life is prolonged by 12%.

The invention discloses a yoke-free axial magnetic flux motor, and relates to the technical field of motors, the yoke-free axial magnetic flux motor comprises a rotor disc and a rotor magnetic pole, the rotor disc is fixedly connected with a rotating shaft through a flange plate and is located at two sides of a stator in the axial direction, and a first interval exists between the rotor disc and the stator; the rotor magnetic pole is connected to one side, facing the stator, of the rotor disc, the rotor magnetic pole comprises a plurality of magnetic pole modules uniformly arranged in the circumferential direction of the rotor disc, the magnetic pole modules protrude into the first interval and are separated from the stator to form an air gap, and the adjacent magnetic pole modules are separated to form an airflow channel communicated with the air gap; when the magnetic pole module rotates around the axis of the rotating shaft, air in the airflow channel can be driven to flow out, so that a negative pressure environment is formed in the air gap and the cooling pipeline of the stator, and external cooling air is driven to enter the cooling pipeline of the stator for cooling. Heat generated by the motor can be dissipated efficiently, and the problem that heat in an axial magnetic flux motor in the prior art is not easy to dissipate is effectively solved.

The dehumidification and condensation prevention control method for the liquid cooling energy storage outdoor cabinet is low in cost and capable of effectively avoiding condensation and comprises the steps that S10, according to the current liquid outlet temperature T1 of a liquid cooling unit and the current liquid inlet temperature T2 of the liquid cooling unit, the target dew point temperature T3 is calculated and determined, and according to the current environment temperature and environment humidity in the liquid cooling energy storage outdoor cabinet, the environment dew point temperature T4 is determined; s20, the dehumidifier is controlled to be started and stopped according to the judgment result whether the environment dew-point temperature T4 is larger than or equal to the target dew-point temperature T3 or not; s30, the current liquid outlet temperature T1 and the current liquid inlet temperature T2 of the liquid cooling unit are obtained in the dehumidification process of the dehumidifier, a new target dew point temperature T3'is calculated and determined, and a new environment dew point temperature T4 'is determined according to the current environment temperature and environment humidity in the liquid cooling energy storage outdoor cabinet; and S41, according to the judgment result whether the difference delta T between the new environment dew point temperature T4'and the new target dew point temperature T3 'is smaller than a first preset temperature threshold value X with the value being negative or not, the dehumidifier is controlled to stop dehumidification or continue to keep dehumidification.

The invention discloses a liquid cooling energy storage system thermal management optimization method based on thermal diffusion modeling. The method is used for solving the problems that thermal runaway risk assessment of a liquid cooling energy storage system is inaccurate and energy consumption and cost are difficult to balance. The method comprises the following steps: firstly, collecting battery temperature, spacing, charging and discharging current, SOC, SOH, environment temperature and cooling liquid flow velocity data, dynamically adjusting sampling frequency based on a temperature change rate, and obtaining a fusion vector through filtering fusion denoising; inputting the three-dimensional unsteady-state heat conduction model into COMSOL to construct a multi-physical-field coupling model, and obtaining an initial heat diffusion probability through a three-dimensional unsteady-state heat conduction equation; then optimizing the probability by using an adaptive neural fuzzy inference system; and finally, constructing a multi-objective function by taking the optimized probability as a constraint, and outputting an optimal cooling liquid flow rate and an optimal battery spacing parameter through iteration of an iDBO algorithm, so that the system safety, the energy consumption efficiency and the economical efficiency are improved.

The application discloses an immersed liquid cooling energy storage battery system, which comprises a containing frame, a plurality of battery packs and a refrigerating device, the battery packs are installed on the containing frame, each battery pack comprises a box body, a plurality of battery modules and a gas permeable device, the box body is provided with a liquid inlet interface and a liquid return interface, the plurality of battery modules are arranged in the box body at intervals, and the gas permeable device is used for balancing the air pressure inside and outside the battery pack; the refrigerating device is provided with a plurality of first connecting pipes and second connecting pipes which are communicated with the liquid inlet interface and the liquid return interface, the refrigerating device delivers cooling liquid to each battery pack through the first connecting pipe and recovers the cooling liquid from each battery pack through the second connecting pipe, and the refrigerating device is used for controlling the temperature of the cooling liquid respectively. The immersed liquid cooling energy storage battery system can provide a single liquid cooling circulation loop for the plurality of battery packs, is favorable for the battery cells of the battery pack to meet the uniform temperature requirement and solves the problem of excessive air pressure of the battery pack, and further effectively inhibits the occurrence of the thermal runaway of the battery cells.

Various illustrative systems, devices, and methods for face masks are provided. In general, a face mask is configured to provide cooling therapy to a user wearing the face mask. In an exemplary implementation, the face mask includes a thermoelectric cooling device, such as a Peltier device, a thermoelectric cooler (TEC), or other thermoelectric cooling device. The thermoelectric cooling device is configured to generate heat through a thermoelectric effect where a heat flux is created at a junction of two different types of materials. The heat flux creates a cold area and a hot area. The cold area is configured to face toward the user's face to provide cool energy to the user's skin.

The invention relates to the technical field of seedling raising, and discloses a tobacco seedling raising device which comprises a water storage pond, a seedling raising pond, a water suction pump and a controller, the water storage pond is provided with a supporting block, the seedling raising pond is located above the supporting block, the seedling raising pond is provided with a plurality of water leakage holes, a water inlet pipe of the water suction pump extends into the water storage pond, and a water outlet pipe of the water suction pump extends into the seedling raising pond. The controller is in control connection with the water suction pump and used for controlling the switching time of the water suction pump. The device can realize alternation of wetting and drying, and the seedling quality is improved. The device is simple and easy to construct, has few components and is low in cost; root activity can be effectively promoted, invalid roots are reduced, healthy growth of tobacco seedlings is protected, and seedling raising efficiency is high. According to the device, leaked water naturally permeates, so that the use of water resources is reduced; and at high temperature, the water storage tank can cool the nursery pond, so that the cooling energy consumption is reduced. In addition, the device can be realized by utilizing a space structure, the structure is simple, and the device has the technical effects of cooling and high efficiency while the cost is reduced.

The invention discloses a liquid-cooled energy storage battery pack and a cooling control method thereof, and relates to the technical field of energy storage equipment, and the key points of the technical scheme are that the liquid-cooled energy storage battery pack comprises a battery pack box body which comprises a containing cavity with a top opening, and the bottom of the battery pack box body is provided with a variable cross-section flow channel along a first direction; the cross section area of the variable-section runner is gradually reduced from the head end to the tail end in the first direction, and a slit is formed in the top of the variable-section runner; the liquid inlet is communicated with the variable cross-section runner; the liquid outlet is formed in one side, close to the bottom, of the battery pack box body and is communicated with the accommodating chamber; the hollow vertical plate is vertically fixed at the bottom of the box body and divides the accommodating chamber into battery cell mounting areas; the battery cell module is mounted in the battery cell mounting area; a plurality of groups of spraying holes are formed in the side wall of the hollow vertical plate along different heights, and the hole diameters of the spraying holes at different heights are gradually increased from bottom to top. By arranging the variable cross-section flow channels and the hollow vertical plates with gradually increased apertures from bottom to top, uniform spraying of the cooling liquid to the surface of the battery cell module is realized.

The invention discloses a cooling control method and device for immersed liquid cooling energy storage equipment and electronic equipment. The method comprises the following steps: acquiring battery pack temperature information and cooling liquid temperature information of the immersed liquid-cooled energy storage equipment, and determining a thermal load value of the immersed liquid-cooled energy storage equipment according to the battery pack temperature information and the cooling liquid temperature information; establishing a temperature prediction model according to the thermal load value, and determining a temperature change trend of a battery pack in the immersed liquid cooling energy storage equipment in a preset time period through the temperature prediction model; and adjusting cooling control parameters of the circulating cooling system by adopting a self-adaptive segmented control strategy according to the temperature change trend, and cooling the battery pack according to the cooling control parameters. The technical problems that the circulating cooling system of the immersed liquid cooling energy storage equipment in the related technology cannot effectively predict the temperature change trend of the battery pack and dynamically adjust the cooling control parameters, the system energy consumption is high, and it is difficult to ensure that the battery pack runs within the safe working range are solved.

The invention is suitable for the technical field of energy management of new energy automobile power systems, and provides an intelligent energy consumption optimization method and system for a new energy automobile power system.The method comprises the steps that needed pre-cooling energy is calculated based on the pre-cooling power adjustment amount, and when a target vehicle starts to decelerate and enters a shielded vehicle following working condition, the pre-cooling energy is calculated according to the pre-cooling power adjustment amount; and the part, used for meeting the precooling energy, in the brake recovery energy generated in the process is directly distributed to a compressor through a direct-current bus, so that the precooling power adjustment amount is achieved. Active optimization of the energy flow of the power system is achieved, the energy utilization efficiency of the whole vehicle is effectively improved, the battery energy consumption is reduced, the cruising ability is prolonged, and meanwhile the stability and reliability of the power system under the cold chain transportation working condition are improved.

The invention discloses a proton exchange membrane fuel cell waste heat recovery injection type refrigerating system and a control method. The system comprises a fuel cell thermal management subsystem and an injection type refrigeration subsystem which are coupled through a heat exchanger. Wherein the injection type refrigeration subsystem is provided with a flow path selection unit and an auxiliary heating unit, and a switchable double-heat-source driving structure is formed. According to the control method, firstly, the effective waste heat output quantity of the fuel cell is estimated on line, then the effective waste heat output quantity is compared with the refrigeration requirement of the system in real time, and the system is driven to be intelligently switched among the three working modes according to the comparison result. When the waste heat is sufficient, only the waste heat is used for driving; when the waste heat is insufficient, auxiliary heating is synchronously started, and the working medium flow is accurately distributed to supplement heat; when the waste heat is interrupted, the auxiliary heating unit supplies energy independently, and stable energy supply is ensured through an advanced algorithm. The system solves the problems that low-temperature waste heat of the fuel cell is difficult to recycle, and traditional cooling is high in energy consumption and causes thermal pollution.

The application belongs to the technical field of energy saving and emission reduction, and aims to solve the problems of unstable energy efficiency and high cooling energy consumption of the current data center, and particularly relates to a data center cooling system using mine or cave cold air, which comprises a general control center, a cold source air supply system, a conveying system, a processing system and a system to be cooled, the cold source air supply system comprises a cold source acquisition device and a temperature detection device; the conveying system comprises a first channel, a second channel and a third channel, the second channel is used for returning the hot air of the system to be cooled to the inside of the mine / cave; when the actual temperature value obtained by the temperature detection device is not greater than the preset temperature, the cold air in the mine / cave is conveyed to the system to be cooled; otherwise, the third channel is controlled to be opened to inhale outdoor air. The application uses mine / cave air as a low-temperature heat dissipation source, fully utilizes natural conditions, realizes secondary utilization of resources, realizes energy saving and emission reduction of the data center, and guarantees the stable energy efficiency demand of the data center.

1. Name of the product in this design: Liquid-cooled energy storage cabinet (100kW 233kWh). 2. Purpose of this product: This product is used for energy storage and power supply. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.