947 results about "Heat transfer coefficient" patented technology

The invention relates to the technical field of heat exchange modules, and discloses a temperature field analysis method of a heat exchange module. The method comprises the following steps: carrying out multi-source data acquisition on a micro-channel double-phase precise phase-change heat exchange module to obtain temperature field acquisition data, pressure data, flow data and phase-change material characteristic data; carrying out dimensionless number analysis calculation to obtain a flow pattern criterion value, and calculating gas-liquid two-phase flow heat exchange coefficient distribution data; performing coupling calculation to obtain heat transfer characteristic data of the phase change area; performing conjugate gradient iterative calculation to obtain temperature field reconstruction data; inputting the temperature field reconstruction data into a temperature field evolution prediction model for temperature field evolution prediction to obtain temperature field prediction data; according to the temperature field prediction data, a dual-objective optimization function containing the heat exchange efficiency and the energy consumption is established, the heat exchanger control parameters are solved, the heat exchange performance prediction accuracy is improved, and meanwhile the optimal control parameters giving consideration to the heat exchange efficiency and the energy consumption are obtained.

The invention relates to the technical field of reaction kettle temperature control, and discloses a fine chemical engineering reaction kettle temperature intelligent control method based on self-adaptive search, which comprises the following steps: S1, data acquisition: acquiring operation data of a reaction kettle, including temperature in the kettle, jacket inlet and outlet temperature, fluid flow and valve opening signals; s2, heat balance calculation: establishing a heat balance equation based on the collected data, and calculating reaction heat release and an equivalent heat transfer coefficient; s3, updating the model; s4, predictive control solution is carried out; s5, performing adaptive search; s6, carrying out security constraint; s7, stage identification; and S8, performing control execution. The reaction heat release amount and the equivalent heat transfer coefficient are calculated in real time through linkage of a heat balance calculation module and a model updating module, online parameter identification is achieved through a recursive least square algorithm, a heat model can be dynamically corrected along with working condition changes, it is ensured that a prediction model is consistent with the actual reaction process, and the prediction efficiency is improved. And the temperature prediction precision and the reliability of control response are obviously improved.

The invention provides a performance optimization and regulation method for a high-temperature sintering furnace, and belongs to the technical field of intelligent regulation, and the performance optimization and regulation method comprises the following steps: arranging sensors in each heating area of the high-temperature sintering furnace, and monitoring the heating areas in real time; constructing a heating area operation state database, comparing the collected real-time data with a preset sintering process parameter range, and analyzing to obtain a performance analysis set of each heating area; establishing a three-dimensional heat conduction model, simulating heat flow distribution of each heating area under different heating powers and temperature settings, determining a thermal coupling effect of each heating area in different stages, and determining a heat transfer coefficient between adjacent heating areas; and an initial strategy of the high-temperature sintering furnace is determined, the initial strategy is optimized based on the auxiliary parameters of all the heating areas, and all the heating areas of the high-temperature sintering furnace are regulated and controlled according to the optimization strategy. The problems of inaccurate temperature control, single parameter analysis, insufficient thermal coupling effect processing and the like in the traditional regulation and control technology are effectively solved.

The invention discloses an optimization method and system of a motor thermal management system and a motor, and the optimization method comprises the steps: building a one-dimensional motor thermal management system simulation model, and obtaining one-dimensional simulation data based on the one-dimensional motor thermal management system simulation model; optimizing the original motor thermal management system based on the one-dimensional simulation data to obtain an optimized first motor thermal management system; optimizing the optimized first motor thermal management system to obtain an optimized second motor thermal management system; the optimized second motor heat management system is tested, and heat transfer coefficients and targeted optimization points of all cooling channels under different flows are obtained; and performing parameter adjustment optimization on the one-dimensional motor thermal management system simulation model to obtain an optimized third motor thermal management system, and performing simulation verification on the optimized third motor thermal management system. According to the method, one-dimensional simulation is combined with three-dimensional simulation, so that the development time and computing resources can be greatly shortened on the premise of ensuring the accuracy of all working conditions.

The invention relates to the technical field of copper pipe optimization, in particular to an internal thread copper pipe structure size optimization method, system and equipment and a storage medium, and the method comprises the steps: determining a transformation relation fitting curve, a heat exchange coefficient change rule curve and a gram weight per meter change rule curve of an internal thread pipe, and adjusting geometric parameters according to the curves, forming a parameter optimization scheme; according to the parameter optimization scheme, a three-dimensional model corresponding to the internal thread pipe is established, and quantitative solution calculation is carried out; according to the quantitative solution calculation result, when it is determined that the design requirement can be met, the three-dimensional model is loaded to form a corresponding forming mold; simulating a ball spinning process for the three-dimensional model and the forming mold, and performing finite element analysis; adjusting the design parameters of the forming die according to the analysis result until the forming design requirement can be met; the structure size of the internal thread copper pipe can be simulated and optimized, the product performance of the optimization scheme is predicted, the optimal optimization scheme is obtained, and the debugging requirement in actual production is reduced.

The invention discloses a matrix modeling analysis method and device for a heat exchange network, equipment and a medium, and relates to the field of optimized operation of heat exchangers. Firstly, a temperature transfer matrix of a single heat exchanger is constructed; according to the temperature transfer matrix of the single heat exchanger, temperature transfer matrixes of the multiple heat exchange network units are constructed; constructing a matrix model of the target heat exchange network according to the temperature transfer matrix of each heat exchange network unit; identifying an effective heat transfer coefficient of each heat exchanger in the target heat exchange network based on the measured data; and calculating outlet temperatures of the target heat exchange network under different working conditions based on the matrix model of the target heat exchange network and the effective heat transfer coefficient of each heat exchanger in the target heat exchange network. According to the method, the heat exchange network is analyzed and calculated in a mode of constructing the temperature transfer matrix for direct calculation, a circulating process is not needed, the calculation complexity is reduced, efficient analysis and calculation of the heat exchange network are realized, and a basis is provided for operation optimization of an industrial system.

The invention discloses an existing building outer wall internal and external heat insulation energy consumption optimization method based on a building model, and belongs to the technical field of building design. In order to solve the problems of insufficient data comprehensiveness and incomplete thermal insulation scheme evaluation, the thermal insulation performance of a building can be evaluated more accurately by checking an outer wall structure on site, recording material types, damage degrees and the current situation of a thermal insulation layer and combining scientific methods such as thermal resistance testing and heat transfer coefficient measurement; digitization and visualization of building information are achieved through the BIM technology, historical energy consumption data are collected from multiple data sources and systematic arrangement and classification are carried out, the readability of the data is improved, rapid import and analysis can be conveniently carried out in energy consumption simulation software, and therefore the energy consumption condition of a building is reflected more accurately; according to the method, comprehensive coverage of multiple possibilities is achieved, the influence of different heat preservation schemes on energy consumption can be evaluated more comprehensively, differentiated design is conducted on the thickness of the heat preservation layer based on the energy consumption simulation result, and the heat preservation performance of a building is effectively improved.

The invention belongs to the technical field of building energy conservation, and provides a real-time inversion method and system for a heat transfer coefficient of a building envelope, and the method comprises the steps: obtaining surface parameters and environment parameters of the building envelope; based on the obtained parameters and the physical neural network model, taking the minimum joint loss function based on the physical mechanism as a target, and performing inversion to obtain the optimal heat conductivity coefficient of the building envelope; and calculating the heat transfer coefficient of the building envelope according to the obtained optimal heat conductivity coefficient of the building envelope, and completing real-time inversion of the heat transfer coefficient of the building envelope.

The invention discloses a micro-channel flow boiling enhanced heat transfer device based on a bionic structure. The device comprises a micro-channel structure base body, a channel inner surface wettability regulation and control layer, a working medium inlet and a working medium outlet. A bionic structure microchannel is arranged in the microchannel structure base body, the inner wall of the microchannel structure base body is provided with a micron-scale or nanometer-scale texture structure, the bionic structure microchannel is composed of a main channel and branch channels of at least three levels of fractal hierarchical structures, the width ratio of the branch channels is 1: 0.2-0.5, and the length range of the branch channels is 2-10 mm. And the contact angle gradient of the wettability regulation and control layer on the inner surface of the channel is 5-120 degrees. The tail end of each branch channel is provided with a bubble capturing groove with the diameter of 5-10 mm and the depth of 5 mm. The device can improve the boiling heat transfer coefficient, reduce the flow resistance and improve the bubble generation and desorption process, and is suitable for the fields of heat dissipation of high-heat-flux electronic equipment, aerospace heat management, chemical reaction and the like.

The invention relates to the technical field of ice and snow environment simulation, and discloses an ice and snow environment simulation test method based on multi-field coupling. The method comprises the following steps: collecting a dynamic multi-field data set in a target ice and snow environment, wherein the dynamic multi-field data set covers a periodic temperature change sequence, a relative humidity fluctuation sequence and surface ice layer thickness real-time monitoring data; carrying out multi-physics field coupling numerical simulation processing to generate coupling field distribution characteristics including an axial heat conduction coefficient gradient, a radial fluid velocity cumulant and a tangential ice layer stress fluctuation coefficient; calling a pre-configured ice and snow growth simulation model to execute ice layer evolution analysis to obtain an ice layer growth rate prediction value and a high-risk icing area position identifier; performing environment dynamic compensation correction on the ice layer growth rate prediction value by using the correlation characteristic of the relative humidity fluctuation sequence and the material heat capacity attribute; based on the high-risk icing area position identification, scientific guidance is provided for related protection in the ice and snow environment.

The invention relates to the technical field of plate heat exchange, in particular to a calculation method of a plate heat exchanger, which comprises the following steps: S1, converting pressure and temperature data into pressure and enthalpy values, setting boundary conditions, determining a hot side and a cold side of the heat exchanger according to the boundary conditions, and setting non-boundary values by segmentally applying energy conservation to obtain geometric parameters and empirical constants; s2, obtaining physical property parameters of the fluid by using a two-dimensional grid linear interpolation method, and obtaining the physical property parameters of the fluid by taking the enthalpy value and the pressure as coordinates; and S3, determining the effective area required by each section, and obtaining a local heat transfer coefficient and a pressure drop when the volume requirement is met under the fluid physical property parameters and the channel flow velocity. According to the method, the problem that the calculation speed of a calculation program is low when the performance of the brazing sheet heat exchanger is evaluated under different working conditions is solved through unique grid division in the plate heat exchanger and rapid calling of fluid physical properties, the calculation error value is effectively reduced, an accurate check result is obtained within ten iteration steps, and the calculation cost is saved.

The invention relates to the technical field of charging piles, and discloses a current control method and device based on heating of a charging gun, and the method comprises the following steps: obtaining a gun head temperature and an environment temperature based on a preset sampling frequency, so as to obtain a heat exchange coefficient in a corresponding convection heat dissipation formula through matching; gun head resistance corresponding to the gun head temperature is calculated based on a resistance temperature polynomial fitting formula; according to the preset calculation frequency, the gun head temperature, the environment temperature, the heat exchange coefficient and the gun head resistance are input into a convection heat dissipation formula, and balance current is obtained through calculation; parameters of a PID adjusting formula are obtained based on the gun head temperature, the external temperature, the external humidity and the resistance value, and a charging current adjusting value is obtained based on the PID adjusting formula; and repeating the above steps, and adjusting the current charging current of the charging gun based on the charging current adjustment value. The method has the advantage of effectively balancing the temperature of the charging gun and the stability of the charging current under the condition of external temperature fluctuation.

The invention discloses an intelligent soot blowing control method and system in a multi-coal combustion state, and relates to the technical field of boiler control, and the intelligent soot blowing control method comprises the steps that a digital model of a boiler control system is established, and input and output measuring point positions are configured; collecting inlet and outlet flue gas and working medium parameters of each heating surface of the boiler through a sensor; on the basis of the real-time parameters, operation performance indexes of the boiler are calculated; according to the operation performance indexes, monitoring the dirt state, and calculating the cleaning factor, the heat transfer coefficient and the total heat transfer amount of each heating surface; and based on the monitoring result of the soot state, determining the optimal soot blowing time and soot blowing period by using an intelligent algorithm, and automatically controlling the soot blowing operation of each heating surface. According to the intelligent soot blowing control method in the multi-coal combustion state, the operation efficiency of the boiler is improved, the energy consumption is reduced, the service life of equipment is prolonged, meanwhile, the adaptability and stability of the system to the multi-coal combustion state are enhanced, and the overall performance and economic benefits of the boiler are remarkably optimized.

The invention provides a coiling temperature calculation method and system based on a neural network and a mechanism model.The calculation method comprises the steps that firstly, strip steel slabs with the high coiling temperature hit rate are screened in a historical data set, abnormal values are removed, and layers are divided; segmenting the heat output roller way, and classifying and preprocessing data; performing offline training on the preprocessed data based on a BP neural network to obtain a water-cooling heat transfer coefficient prediction model of each layer; in the actual production process of the strip steel, input parameters of online operation are obtained, the water-cooling heat exchange coefficient of the real-time working condition is predicted online through the water-cooling heat exchange coefficient model, and then the mechanism model is further used for calculating the temperature on the strip steel reheating output roller way.

The invention provides a calculation method, device and equipment for a heat transfer coefficient of a railway vehicle and a medium, and the method comprises the steps: for each structure model in a thermal resistance model of the railway vehicle, calculating a plurality of heat transfer layer thermal resistance values corresponding to the structure model, and calculating a structure thermal resistance value of the structure model based on the plurality of heat transfer layer thermal resistance values; for each area model, calculating the area thermal resistance value of the area model based on the structure thermal resistance values of the plurality of structure models corresponding to the area model; and calculating the total thermal resistance value of the rail vehicle based on the regional thermal resistance value of each regional model, and calculating the heat transfer coefficient of the rail vehicle based on the total thermal resistance value. By means of the method and device, the efficiency and accuracy of calculating the heat transfer coefficient of the railway vehicle are improved, and the research and development period can be shortened.

The invention provides a thermodynamic equilibrium simulation analysis method and system, and relates to the technical field of data processing, and the method comprises the steps: 1, building a steam thermodynamic equilibrium model based on the technological parameters of a thermodynamic network; 2, analyzing a thermal distribution state through a steam thermal equilibrium model, identifying an unbalance factor in a process chain, and establishing a four-vertex geometric topological relation among a heat exchanger inlet / outlet, a pressure reduction module and a drain valve process node according to the physical layout of a thermal network; and step 3, based on the dynamic proportion characteristic of the four-vertex geometric topological relation, calculating a thermal correction factor, and adjusting the heat transfer coefficient, the steam pressure and the condensate water temperature parameter of the steam thermal equilibrium model according to the thermal correction factor to obtain the corrected steam thermal equilibrium model parameter. According to the method, through dynamic correction of model parameters and simulation optimization, accurate identification and dynamic regulation and control of thermal unbalance are realized, a closed loop for optimized feedback is formed, and the operation efficiency and stability of a thermal system are improved.

The present application provides a dynamics analysis method for an ammonia combustion refrigeration system in large park cooling. The method comprises: on the basis of a geometric structure of an ammonia combustion chamber and a fuel supply amount, calculating the heat generated by ammonia combustion and analyzing the heat transfer mode between the combustion chamber and a desorption tower, the heat transfer mode comprising direct contact type heat transfer and partition type heat transfer, and simulating the heat transfer process to obtain and draw the heat flux distribution of the tower wall surface; on the basis of the flow state and a relationship curve between the pressure drop and the flow velocity, analyzing the desorption process of a refrigerant in a solution, and on the basis of the concentration of the solution, a boiling point of the refrigerant, and the vapor pressure, calculating local desorption rates at different positions in the desorption tower and the refrigerant vapor generation amount; and on the basis of the heat flux distribution, calculating the temperature distribution of the solution, and analyzing the heat transfer and mass transfer processes in the desorption tower to obtain a local heat transfer coefficient and the mass transfer efficiency distribution of the surface of a filler.

The invention discloses a control method for steam condensate waste heat recovery and waste water heating, a control device for steam condensate waste heat recovery and waste water heating, control equipment and a computer readable storage medium. The thermal load and the logarithmic average temperature difference are calculated based on the energy conservation principle, and the needed heat exchange area is calculated through a logarithmic average temperature difference method. A flow combination scheme of the plate heat exchanger is determined according to the heat exchange area and the flow parameters, a steam condensate side adopts a single flow, and a waste water side adopts asymmetric configuration of double flows or multiple flows so as to adapt to the flow difference of the two sides. In addition, a real-time monitoring mechanism is further established, when the total heat transfer coefficient is decreased by more than 10%, a cleaning program is automatically triggered, continuous and stable operation of the system is guaranteed, and efficient utilization of waste heat resources is achieved.

The invention discloses a large-space temperature distribution optimization method for an electronic clean workshop, and the method comprises the steps: determining the initial design parameters of a clean room, including the design temperature difference delta Tset of the clean room, the initial arrangement rate and wind speed of a fan filter unit, and the comprehensive heat transfer coefficient K of an enclosure structure; calculating outdoor heat transfer heat flow density q; dividing the upper interlayer space into a plurality of areas, and calculating the average temperature of each area of the upper interlayer; calculating the space temperature distribution of the clean room; the maximum temperature difference delta Tmax of the clean room is calculated, and the deviation ratio delta between the maximum temperature difference delta Tmax and the designed temperature difference is calculated; when delta Tmaxgt; delta Tset or delta gt; when a threshold value is set, the heat transfer resistance of the enclosure structure, the average arrangement rate of fan filter units and the air speed are adjusted; and outputting the adjusted heat transfer resistance of the enclosure structure of the clean room, the average arrangement rate and wind speed of the fan filter units and the arrangement rate of the fan filter units in the partial area of the clean room. According to the method, the temperature distribution of the large-space clean room can be quickly calculated, and the temperature distribution of the large-space clean room can be accurately controlled.

The invention relates to a two-dimensional calculation method for the performance of a plate-fin precooler, and the method comprises the steps: S1, building a geometric model of the plate-fin precooler, and dividing Nh * Nc heat transfer calculation units; s2, constructing a heat transfer calculation model and a pressure drop calculation model; s3, setting structural parameters, initial cold fluid physical parameters and initial hot fluid physical parameters; s4, assigning the initial thermal fluid physical parameters to the heat transfer calculation unit (i, 1), and assigning the initial cold fluid physical parameters to the heat transfer calculation unit (1, j); s5, assigning i = j = 1; s6, calculating the heat transfer coefficient of the heat transfer calculation unit; s7, the cold and hot fluid heat exchange amount and pressure drop of the heat transfer calculation unit are calculated, and cold and hot fluid physical parameters of the heat transfer calculation unit (i, j + 1) are obtained; s8, updating the assignment j to be equal to j + 1, and repeating the steps S6 to S7 until j is equal to Nc; and S9, updating the assignment i = i + 1, j = 1, and repeating the steps S6 to S8 until i = Nh to complete solution.

The invention discloses a multistage phase change air cooling coupling server cooling system, and belongs to the technical field of server cooling. According to the liquid cooling system, a liquid cooling and air cooling coupled cooling heat dissipation mode is adopted, the energy efficiency loss rate can be effectively reduced, a natural cold source is utilized to the maximum extent, and the heat conductivity and the specific heat capacity of liquid are far higher than those of air, so that the liquid cooling system can transfer heat more effectively, meanwhile, the liquid cooling system can provide more stable and uniform temperature control, and the service life of the system is prolonged. According to the invention, the heat transfer coefficient is improved by using the phase change technology, so that the system can still keep a stable temperature during high-load operation.

The invention provides an oil slurry heat exchanger scaling early warning method, device and equipment, a medium and a descaling system, and belongs to the field of heat exchanger scaling prediction.The early warning method comprises the steps that operation parameters of an oil slurry heat exchanger are obtained; determining an actual total heat transfer coefficient and actual heat exchange efficiency based on the operation parameters of the slurry oil heat exchanger; based on the actual total heat transfer coefficient and the actual heat exchange efficiency, a scaling early warning index is determined; and generating scaling early warning information based on a comparison result of the scaling early warning index and the scaling early warning threshold value. The early warning device comprises a data acquisition unit, a data processing unit, an early warning index determination unit and an early warning information generation unit; the descaling system comprises a cleaning device, a control device and early warning equipment. Through the method provided by the invention, a more accurate early warning scaling condition can be obtained, and the operation reliability of the oil slurry heat exchanger is improved.

The invention discloses a synchronous reluctance motor magnetothermal coupling rapid calculation method based on a dynamic thermal network, and belongs to the technical field of motors. Comprising the following steps: calculating motor loss by adopting a finite element electromagnetic field model, and calculating a convective heat transfer coefficient by adopting a finite element fluid field model; constructing a three-dimensional thermal network comprising conduction, contact, convection thermal resistance, thermal capacity and a heat source, and solving to obtain an average temperature and a boundary temperature of component nodes; constructing a sub-domain temperature field calculation model of the heat source component, and calculating temperature distribution in combination with boundary conditions; introducing average temperature compensation thermal resistance and carrying out dynamic correction; carrying out magnetothermal coupling iteration, and updating the loss and the temperature until the precision is met; and introducing maximum temperature compensation thermal resistance into the thermal network, and solving to obtain an average temperature and a maximum temperature transient temperature rise curve of each component. Based on the technical means of combining electromagnetic field and fluid field finite element simulation with thermal network and subdomain temperature field calculation, efficient calculation of magnetothermal coupling of the synchronous reluctance motor is achieved.

The invention discloses a method, a device and equipment for determining wellbore temperature field distribution under a composite process, and relates to the technical field of oil and gas field exploration. Comprising the steps that a shaft is divided into N well sections, and heat transfer coefficients of the N well sections are obtained; according to two different wellbore thickened oil viscosity reduction methods, a wellbore is divided into a thin oil-doped independent working section and a thin oil-doped and insulated heating cable composite working section; and in combination with the heat transfer coefficients of the N well sections, shaft fluid temperature calculation models of the thin oil-doped independent working section and the thin oil-doped and insulated heating cable composite working section are obtained respectively, and shaft temperature field distribution is obtained based on the shaft fluid temperature calculation models. The heat transfer processes of different viscosity reduction modes under the combination of different composite technologies are considered, a wellbore fluid temperature calculation model is established in a targeted mode, the influence of a wellbore structure on heat transfer is considered, the influence of different viscosity reduction modes in a wellbore on heat transfer is also considered, and therefore more accurate wellbore temperature field distribution can be obtained.

A probe card MLO pad point position contraction design simulation method is characterized by comprising the following steps that 1, a temperature field simulation model is established, and a temperature simulation result file is obtained and comprises the steps that 1.1, temperature data are actually measured; step 1.2, establishing a temperature field simulation model by adopting a finite element analysis method, modeling an air fluid part in the cavity into a solid air medium by using a steady-state thermal analysis module, and endowing the solid air with a heat transfer coefficient; calibrating heat transfer coefficients in the temperature field simulation model: a heat transfer coefficient A, a heat transfer coefficient B and a heat transfer coefficient C; 1.3, correcting and iterating the heat transfer coefficient A, the heat transfer coefficient B and the heat transfer coefficient C; 1.4, obtaining a temperature field simulation result file of the probe card at the specified high-temperature loading temperature; 2, establishing a physical field simulation model, and obtaining a simulation pad displacement result; and step 3, calculating to obtain a new pad point position coordinate for iterative production.

The invention provides an existing building BEM modeling method, system and device based on an infrared thermal image of an unmanned aerial vehicle and a medium, and belongs to the technical field of building modeling. Generating a three-dimensional geometric model of the building main body; screening out an external window candidate area by analyzing RGB value characteristics of the visible light point cloud, generating a window opening three-dimensional boundary, and determining an internal surface temperature and an indoor air temperature through internal surface infrared temperature measurement and area weighted integration; and based on the temperature data and the building envelope construction parameters, inverting heat transfer coefficients of the outer wall, the roof and the outer window, and finally constructing a building energy consumption model in combination with the weighted average K value. According to the method, precise operation from building geometric model construction to thermal parameter acquisition and then building energy consumption model construction is realized. The efficiency and precision of BEM modeling of the existing building are improved, and a scientific basis is provided for building energy-saving transformation, energy consumption evaluation and the like.

The invention provides a reboiler energy consumption analysis and control method and system, and relates to the technical field of intelligent control, and the method comprises the steps: constructing a reboiler energy consumption model; the reboiler energy consumption model is analyzed, and the total energy consumption of the reboiler in the operation process is determined; constructing a reboiler control module based on a PID neural network; optimizing a reboiler control module based on the PID neural network by taking reduction of the total energy consumption of the reboiler in the operation process and increase of the heat flux and the heat transfer coefficient of the evaporation area as targets; the target steam mass flow output by the reboiler is set; the actual steam mass flow output by the reboiler is obtained; and the reboiler is controlled through the optimized reboiler control module based on the PID neural network. According to the method, the limitation of setting control parameters depending on experience is overcome, the effect is better in the face of complex dynamic characteristics and nonlinear problems, and the change of the system can be fully coped with.

The invention belongs to the technical field of lithium ion battery thermal management, and particularly discloses a pump-free self-driven immersed battery thermal management system and a control method, which realize high-speed jet flow of a cooling liquid and rapid reduction of the surface temperature of a battery through the height difference between a condensation cavity and a battery cavity by a jet flow impact technology. A thermal boundary layer is broken through the cavitation effect, the heat transfer coefficient is remarkably increased, and the transient heat dissipation requirement of high-rate charging and discharging is met. The condensation cavity cooperates with the intelligent control module to ensure uniform temperature distribution of the battery pack. Based on real-time regulation and control of sensor feedback, system response time is shortened, and temperature lag is avoided. The separation design of the battery cavity and the condensation cavity simplifies the traditional same-cavity structure, reduces the circulation resistance of the working medium, and guarantees the long-term stable operation of the system. Phase change heat absorption, intelligent control, potential energy driving and ultrasonic enhancement are fused, the energy efficiency limitation that traditional liquid cooling depends on external pump work is broken through, system power consumption is reduced, module temperature difference is effectively controlled, and thermal runaway response time is shortened.

The invention discloses a method for manufacturing an efficient plate type heat transfer element by hydroforming a metal sheet. The method comprises the following steps: preparing a flat plate raw material; a laser stitch welding step; a hydraulic step-by-step swelling forming step; a surface plating treatment step; a withstand voltage detection step; a quality detection step; and assembling to form the heat transfer element. According to the plate type heat transfer element produced through the manufacturing method, the sine corrugated plate surface is adopted, the smoke turbulence degree can be remarkably improved through the structural design, and therefore the heat transfer coefficient is greatly increased, and the heat exchange efficiency is high and stable. Compared with a traditional pipe type low-temperature economizer, smoke waste heat can be recycled more effectively, the energy utilization rate is increased, and power generation coal consumption is reduced. According to a series of manufacturing steps from preparation of flat plate raw materials to final assembly of the heat transfer elements, reliable quality and stable performance of each heat transfer element are ensured, efficient operation of the whole plate type low-temperature economizer is ensured, and the overall performance and reliability of equipment are improved.

The invention discloses an ultra-high voltage reactor shell convective heat transfer coefficient iterative calculation method and device, and the method comprises the steps: building a control equation of a temperature fluid field of an ultra-high voltage reactor, and building a function expression for obtaining a comprehensive convective heat transfer coefficient; the comprehensive convective heat transfer coefficient comprises a convective heat transfer coefficient under a natural convection condition and an equivalent radiation heat transfer coefficient, the comprehensive convective heat transfer coefficient is corrected step by step through multiple iterations based on a control equation of a temperature fluid field until the comprehensive convective heat transfer coefficient converges, the temperature difference between the wall surface and the external fluid is obtained, and the temperature difference between the wall surface and the external fluid is obtained. And taking the converged comprehensive convective heat transfer coefficient as a final convective heat transfer coefficient. According to the method, the equivalent radiation convective heat transfer coefficient is provided, the comprehensive convective heat transfer coefficient is obtained by combining the convective heat transfer coefficient under the natural convective heat transfer condition, and the accurate temperature difference between the wall surface and the external fluid is obtained through multiple times of iterative calculation.