4276 results about "Heat generation" patented technology

To provide a vehicular lighting tool having a snow melting function without degrading a design thereof.SOLUTION: A vehicular lighting tool includes: a lamp body opened in front; a lamp cover made of a translucent member and forming a lighting chamber by being attached to an opening of the lamp body; an extension member stored in the lighting chamber and arranged facing an inner surface of the lamp cover to hide an internal mechanism inside the lighting chamber from outside; and a heat generation member installed on the inner surface of the lamp cover and generating heat by power supply. A color of the heat generation member matches with a color of a facing surface of the extension member against the lamp cover. By using a heat generation member having the color matched with the extension member which is a background when viewed from a front side of the vehicle lighting tool, a degradation in design of the vehicular lighting tool is suppressed by preventing the heat generation member from being visible.SELECTED DRAWING: Figure 1

The invention discloses a geothermal field parameter inversion calculation method, device and system, and a storage medium. The method comprises the following steps: establishing a geophysical stratified model; through Monte Carlo sampling of preset parameter spaces of the crustal heat generation rate and the heat conductivity, a temperature value is calculated in combination with a heat conduction equation, and a Gaussian likelihood function evaluation model is constructed to predict the matching degree of the temperature and the actually measured temperature; obtaining the optimal estimation of the thermal parameters, a confidence interval and a correlation matrix among the parameters based on the posterior probability distribution; and according to the correlation matrix, taking a high-confidence result generated by Monte Carlo inversion as priori knowledge of a physical guidance neural network PINNs, and finally outputting a thermal parameter spatial distribution prediction result of the target area through parameter initialization constraint, output layer range limitation and a physical regularization loss item. By adopting the technical scheme of the invention, the defects that the existing actually measured geothermal field parameters are rare and the regional characteristics cannot be described and the geophysical joint inversion of the geothermal field parameters cannot be realized in the prior art are overcome.

A refrigeration fan with lateral heat dissipation is provided, including a fan head and a hand-held handle. A conductive sheet is laid on an outer surface of the hand-held handle, a cavity is arranged in the hand-held handle, and a cold-heat generation apparatus is mounted in the cavity. The hand-held handle is provided with an air inlet and an air outlet, a refrigeration end of the cold-heat generation apparatus is connected to the conductive sheet in a heat conduction manner, and a heat dissipation end of the cold-heat generation apparatus communicates with the air outlet.

The invention discloses an automatic control method and device for a thermal management system of an electric vehicle, relates to the field of intelligent control, and realizes multi-step prediction of battery and motor heat production and thermal load change in the future by fusing external information such as a navigation path and weather forecast, plans a thermal management strategy in advance, and improves the response perspectiveness of the system. A multi-source disturbance dynamic structured correlation equalization technology is adopted, the coupling relation between heat sources is modeled, cross disturbance is compensated through a joint state function, and multi-heat-loop cooperative control is achieved. On the basis of a model predictive control (MPC) framework, temperature tracking errors and energy consumption penalty are optimized, the energy consumption of actuators such as a compressor and a water pump is reduced while a safe temperature interval is met, and the endurance is prolonged. And in combination with a state estimator fusion model and observation data, the control precision and robustness under a complex working condition are enhanced, and finally global optimal thermal management considering the service life of parts, the comfort of passengers and the energy efficiency is realized.

The invention relates to a battery monomer, a battery device and a power utilization device, the battery monomer comprises an electrode assembly and an electrolyte, the electrode assembly comprises a positive pole piece and a negative pole piece, the positive pole piece comprises a positive current collector and a positive film layer, the positive film layer comprises a positive active material, the positive active material comprises lithium-containing phosphate of an olivine structure, and the electrolyte is a lithium-containing lithium-containing phosphate of a lithium-containing lithium-containing lithium-containing lithium-containing lithium-containing lithium-containing lithium-containing lithium-containing lithium-containing lithium-containing lithium-containing lithium-containing lithium-containing electrolyte. The resistance of the positive pole piece is 0.1 ohm to 30 ohm, the negative pole piece comprises a negative current collector and a negative film layer, the resistance of the negative pole piece is 0.001 ohm to 0.01 ohm, the electrolyte comprises an organic solvent, the organic solvent comprises a chain ester solvent, and the mass content of the chain ester solvent in the organic solvent is 5% to 75%; the conductivity of the electrolyte at room temperature is 13 mS / cm to 20 mS / cm. The heat production amount of the battery monomer can be reduced, and the use reliability and the cycle performance of the battery monomer can be improved.

The invention provides a flexible electronic device multi-physics field coupling performance simulation analysis method, and relates to the technical field of flexible electronics. Firstly, a geometric model of the flexible electronic device is constructed; the geometric model comprises a three-layer assembly structure of an electronic chip, an adhesive layer and a flexible PCB layer, and an interconnection structure; setting electromagnetic-thermal-mechanical field coupling parameters of the geometric model; then, grid division is conducted on the geometric model through a finite element method, and the grid division precision of the area where the interconnection structure is located is higher than that of other areas; building a multi-physics field coupling model according to the geometric model and set coupling parameters; applying load and boundary conditions to the model, wherein the load and boundary conditions comprise a current source, a heat generation load, a convection heat dissipation boundary condition and a mechanical constraint condition; and simulating the working state of the flexible electronic device under the action of multi-physics field coupling in the multi-physics field coupling model to obtain a simulation result. According to the method, the performance and the failure mechanism of the flexible electronic device under the multi-physics field coupling effect can be effectively predicted.

The invention relates to the technical field of turret heat management, in particular to a power turret heat management optimization method and system based on intelligent cooling, and the method comprises the steps: obtaining the temperature distribution data and related working condition parameters of a power turret in real time, and building a heat state feature vector representing the dynamic relation between the heat generation and heat dissipation capability of the turret; constructing a cooling decision model, inputting the state vector into the cooling decision model, and generating an initial control strategy; the initial control strategy is simulated and executed in the digital twin environment, and a strategy reconstruction mechanism is triggered when the predicted temperature suppression rate is lower than a set threshold value; and performing real-time dynamic optimization on the verified initial control strategy according to the processing quality constraint and the equipment safety threshold, and superposing the thermal inertia delay compensation amount to generate a final control strategy. According to the method and the device, the problem of temperature control failure caused by thermal inertia time lag is effectively solved, accurate space-time matching of the cooling instruction and the thermal load peak value is realized, and thermally induced deformation is remarkably inhibited.

The invention discloses a power equipment segmentation and abnormal heating detection method and device based on heterogeneous image feature fusion. Comprising the following steps: acquiring two registration images of power equipment in different modes; feature extraction is carried out, low-level features and high-level features of the two images are extracted in multiple levels, and the features of different modal images under the corresponding levels are fused; generating a high-level semantic segmentation feature map by iteratively decoding and aggregating the three high-level fusion feature maps, and obtaining a corresponding semantic segmentation result image and an edge detection result image; a multi-level feature fusion and attention enhancement module is introduced, and the understanding and analysis ability of the image is optimized; and a binary cross entropy loss function is adopted to supervise a semantic segmentation result and a semantic segmentation truth value of the two processed images, and fine features of an abnormal heating area are captured. The method can greatly improve the precision and reliability of power equipment segmentation and abnormal heating detection, reduces the false detection rate, and has high practicability and wide application prospects.

The invention discloses a gearbox self-lubricating structure with an oil collecting and distributing piece and a lubricating optimization method. The gearbox self-lubricating structure comprises the oil collecting and distributing piece (comprising a main oil collecting groove and an input shaft / gear set lubricating pipeline) arranged in a box body and a side lubricating oil way (an auxiliary oil collecting groove and a guide hole). According to the method, splashing oil is intercepted to the main oil collecting groove through the baffle, the oil level and the boss height are dynamically compared based on the oil throwing amount formula Q = k * b * v * h, and the oil is distributed and directionally dripped into the bearing through the lubricating pipeline. The problems of uneven lubrication, poor speed ratio adaptation and high oil stirring heating in the prior art are solved, an external oil pump is not needed, the energy consumption and the manufacturing cost are reduced, scrap iron is intercepted, the service life of the bearing is prolonged, the high-speed shaft is cooled preferentially, and the low-speed shaft is cooled as required under the full-speed-ratio working condition, and the operation stability of the gearbox is improved.

The invention discloses an axial flux motor, an electric drive system and a vehicle. The axial magnetic flux motor adopts a single-stator and double-rotor structure in which a stator is arranged in the middle and rotors are arranged on two sides, and comprises a stator assembly, and a first rotor assembly and a second rotor assembly which are distributed on two sides of the stator assembly, and the first rotor assembly and the second rotor assembly are respectively connected with the stator assembly through a first rotor bearing and a second rotor bearing. The single-stator double-rotor axial flux motor only comprises one stator assembly, so that the energy loss is low, the heat productivity is low, the power density is higher, and the energy conversion efficiency is higher. One end of the rotor shaft is fixedly connected with the output part of the first rotor assembly, and the other end of the rotor shaft is in transmission connection with the output part of the second rotor assembly. The tolerance of the relative positions of the two rotor assemblies is smaller, the magnetic poles of the magnetic steel of the two rotor assemblies can be in one-to-one correspondence, and the difficulty of motor calibration after the motor assembly is assembled is reduced.

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

The invention discloses an anti-ultraviolet aging low-voltage power cable, and relates to the technical field of cables, the anti-ultraviolet aging low-voltage power cable comprises a fixed wire core, the fixed wire core is provided with a buffer processing assembly, the buffer processing assembly comprises an inner limit insulation sleeve, and the outer side of the fixed wire core is sleeved with the inner limit insulation sleeve. A plurality of clamping connection grooves are formed in the outer side end of the inner limiting insulation sleeve at equal intervals, a plurality of heat exchange integration frames are clamped to the outer side end of the inner limiting insulation sleeve at equal intervals, and protruding clamping frames are laid at the outer side end of the inner limiting insulation sleeve and one ends of the inner sides of the heat exchange integration frames. The situation of high-temperature aging in the cable caused by unbalanced heat production in the cable and poor heat conduction efficiency is avoided, different deformation in the cable caused by different thermal expansion and cold contraction at different positions is reduced through thermal uniformity, and the situation of dislocation damage in the cable is further reduced in cooperation with elastic stretching and elastic supporting. Therefore, the operation stability of the cable is effectively improved, and the service life of the cable is effectively prolonged.

The invention discloses an energy storage liquid cooling unit control strategy generation method and device based on working condition prediction, equipment and a storage medium, and relates to the technical field of power grids, and the method comprises the steps: building a prediction model based on working condition data of an energy storage system, determining initial prediction power and predicted battery electric quantity based on a preset coefficient and the working condition data, the prediction model is used for correcting the initial prediction power to obtain target prediction power, the predicted heating power of the battery cell is determined based on the equivalent internal resistance of the battery cell and the voltage of the battery cell, the operation parameters of the liquid cooling unit are fitted based on a preset calibration coefficient to obtain the expected refrigerating capacity, and the predicted temperature of the battery cell is determined; adjusting the initial strategy by using the liquid cooling unit control rule and based on the temperature deviation degree and the temperature change rate to obtain a target energy storage liquid cooling unit control strategy so as to control the energy storage liquid cooling unit; the temperature deviation degree and the temperature change rate are data determined based on the preset battery working temperature range and the battery cell predicted temperature, so that the efficiency of generating the energy storage liquid cooling unit control strategy is improved.

Systems and methods for generating electrical power in an organic Rankine cycle (ORC) operation include one or more heat exchangers incorporated into mobile heat generation units, and which will receive a heated fluid flow from one or more heat sources, and transfer heat therefrom to a working fluid that is circulated through an ORC unit for generation of power. In embodiments, the mobile heat generation units comprise pre-packaged modules with one or more heat exchangers connected to a pump of a recirculation system, including an array of piping, such that each mobile heat generation unit can be transported to the site and installed as a substantially stand-alone module or heat generation assembly.

The invention provides a lithium ion battery core temperature prediction method based on a finite element model, and the method comprises the following steps: 1, designing an electrochemical test experiment, and constructing a one-dimensional electrochemical model containing a lithium ion battery electrochemical heat production mechanism; 2, designing a lithium ion battery temperature test experiment, obtaining electrochemical parameters, heat transfer characteristic parameters, internal thermophysical parameters and environmental parameters of the battery under different working conditions, and obtaining a temperature change curve of the center position and the surface of the battery; and step 3, based on the heat balance equation, establishing a three-dimensional heat transfer model having the same geometric characteristics as the battery used in the experiment. According to the experimental result in the step 2, the three-dimensional heat transfer model is subjected to non-uniform region division, each region corresponds to one one-dimensional electrochemical model, and the heat production rate per unit volume is calculated by the one-dimensional electrochemical model in the step 1; introducing the heat production rate of each area into a three-dimensional heat transfer model to calculate the temperature distribution of the battery, and designing an experiment to correct a one-dimensional electrochemical model; 4, modifying the operation conditions and heat dissipation conditions of the battery, and calculating and analyzing the temperature difference delta T between the center position and the surface position of the battery under different operation conditions and heat dissipation conditions by using the three-dimensional heat transfer model in the step 3; and 5, measuring the surface temperature of the battery, and calculating the temperature of the center of the battery according to the working condition of the battery in the step 4 and the delta T corresponding to the environment temperature, thereby realizing monitoring of the temperature of the center position of the battery. According to the method, a high-precision algorithm model is constructed and verified by utilizing data accumulated in an earlier-stage experiment, the central point temperature which is difficult to directly measure in the battery is predicted only through real-time and easily-acquired battery surface temperature information, operation condition parameters and heat dissipation conditions, key thermal state information is provided for a battery management system, and the battery management efficiency is improved. The method is used for real-time safety monitoring and thermal management optimization.

The invention discloses a server, which comprises a mainboard module, a liquid cooling substrate, a first heat dissipation pipeline and a second heat dissipation pipeline, and is characterized in that a plurality of heating modules on a mainboard body of the mainboard module are at least arranged at intervals along a first direction; the liquid cooling substrate covers the mainboard body, and the outer peripheral contour line of the liquid cooling substrate exceeds the outer peripheral contour line of the mainboard body; the first heat dissipation pipeline and the second heat dissipation pipeline are both embedded in the surface of the side, away from the mainboard body, of the liquid cooling substrate, and the first heat dissipation pipeline communicates with the first sub liquid cooling plate of the heating module with the maximum heat generation amount in the multiple heating modules; the second heat dissipation pipeline at least extends in a bent shape in the first direction; the liquid cooling substrate is attached to at least a part of the heating modules in the rest of the heating modules with the maximum heat production capacity. The problem that all heating elements on a mainboard of a server cannot be effectively cooled by a liquid cooling heat dissipation system in the related technology is at least solved.

The invention relates to the technical field, provides a notch liquid cooling structure of a flat wire motor stator, and realizes high-efficiency and low-consumption motor stator cooling through an accurately-positioned full-coverage liquid cooling structure. In order to achieve the purpose, the motor comprises a stator iron core, closed iron core wire grooves are evenly distributed in the inner edge of the stator iron core, wires forming windings are inserted in the iron core wire grooves, the wires are tightly attached to the outer diameter ends of the iron core wire grooves, oil way channels are formed between the wires and the inner diameter ends of the iron core wire grooves, the two ends of the stator iron core are provided with end rings, and the two ends of the stator iron core are provided with end rings. The end ring wraps the wire, and the end ring and the oil path channel form a closed oil path space. Due to the adoption of the technical scheme, the oil path channel formed between the wire and the inner diameter end of the iron core wire slot is matched with the closed oil path space formed by the end ring and the oil path channel, and the position of the oil path channel is used for accurately cooling the wire with the highest heating.

The embodiment of the invention discloses a high-voltage box heat dissipation control method, electronic equipment and a storage medium, and the method comprises the steps: determining a heat dissipation demand and related fan operation parameters based on the heating characteristics and working condition data of internal components of a high-voltage box; constructing a dynamic airflow model of an internal flow channel of the high-pressure tank, and optimizing a flow channel structure and airflow distribution of the high-pressure tank based on a fluidics principle; according to flow characteristics and structural strength requirements of the high-voltage box, hole opening parameters and a machining process are determined, and the high-voltage box is machined through the machining process according to the hole opening parameters; and verifying the heat dissipation effect of the processed high-voltage box through the constructed multi-physical field coupling model, generating a heat dissipation verification effect, and dynamically adjusting heat dissipation control parameters corresponding to the high-voltage box based on a heat dissipation verification result. According to the high-voltage box heat dissipation control scheme provided by the invention, the heat dissipation efficiency of the high-voltage box can be effectively improved, the reliability and safety of equipment operation are enhanced, and heat dissipation requirements under different working conditions are met.

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

The invention discloses a thermal management method and device of an electric vehicle and a nonvolatile storage medium. The method comprises the following steps: acquiring temperature data and vehicle operation data in a target vehicle; based on the vehicle operation data and the temperature data, the heat production amount of a power system in the target vehicle is calculated; based on the heat production amount and the temperature data, predicting the temperature of the power system to obtain a temperature prediction value; and when the temperature prediction value is between a first preset threshold value and a second preset threshold value, adjusting the temperature of the power system based on a multi-objective optimization algorithm, a plurality of optimization targets corresponding to the multi-target optimization algorithm comprise at least two of the following targets: taking the minimum power consumption of the target vehicle as a target, taking the minimum temperature of a controller in the target vehicle as a target, and taking the minimum temperature difference corresponding to a battery in the target vehicle as a target. The technical problem that the energy utilization rate is low due to the fact that global heat management is difficult to perform due to independent operation of a plurality of systems in an existing electric vehicle is solved.

The invention discloses an earth heat flow joint inversion calculation method, device and system, and a storage medium. The method comprises the following steps: 1, obtaining a temperature constraint value; 2, obtaining a thermal parameter constraint value; 3, determining value ranges of thermal conductivity and heat generation rate parameters of each layer section; 4, constructing an initial temperature profile; 5, carrying out inversion optimization to obtain an optimal thermal parameter; and 6, calculating and extracting an earth heat flow value. By adopting the technical scheme of the invention, a high-precision and high-reliability earth heat flow value can be obtained under the constraint of a small amount of measured data.

The invention discloses a humanoid robot flexible power cable anti-fatigue design simulation system and method, and relates to the technical field of robots. According to the anti-fatigue design simulation system and method for the flexible power cable of the humanoid robot, through multi-field coupling simulation, cross-scale damage modeling, multi-objective optimization and virtual verification, fatigue damage of the cable in a complex working environment is accurately predicted, and an efficient simulation platform is provided for anti-fatigue design of the cable. The system specifically comprises a multi-field coupling and critical positioning module, a cross-scale damage modeling module, a multi-objective optimization module and a virtual verification and iteration module. Multi-modal data of cable deformation, friction heat generation and resistivity change are dynamically generated through multi-physics field coupling simulation, the evolution process of cable damage is analyzed, and design parameters are optimized to improve the fatigue durability of the cable.

The invention provides a rotary table bearing-torque motor thermal vibration coupling modeling method, and relates to the technical field of machine tool reliability analysis. Comprising the steps of calculating bearing restoring force, torque and elastic rigidity; giving a dynamic balance equation of the main shaft system; unbalanced magnetic pulling force and unbalanced mass excitation are calculated; a displacement field is solved, and load changes caused by the displacement field are transmitted to the thermal model; the contact force borne by the bearing is updated by considering the load effect related to displacement, and the friction heat generation of the bearing and the heat generation of each part of the motor are calculated; calculating thermal deformation and thermal displacement of the bearing; thermal resistance among nodes is calculated, and a temperature field equilibrium equation is given through a thermal resistance network to achieve rapid thermal-mechanical coupling analysis; the thermal equilibrium equation is solved to calculate temperature response; importing the latest temperature into the kinetic model; lubricating grease viscosity and bearing thermal deformation are updated; and repeating the steps to finally obtain the main shaft displacement field and temperature field response. The method is high in accuracy, high in universality, low in test cost and high in test efficiency.

The invention relates to the technical field of battery energy storage station heat management, and discloses a battery energy storage station heat management optimization method based on multi-target control, which comprises the following steps: constructing a mathematical model of an energy storage station heat management system, and defining a state variable and a control variable of the model; the mathematical model comprises a battery heat production model, a battery heat exchange model, an SOC dynamic model and an energy storage station power balance model; based on the mathematical model of the thermal management system of the energy storage station, establishing a multi-target comprehensive evaluation function and setting constraint conditions; according to the defined state variables and control variables, the multi-objective comprehensive evaluation function and set constraint conditions, learning iteration is carried out based on a Q learning algorithm, a Q value is obtained when a preset convergence condition is reached, and an optimal control variable distribution strategy is output; and performing thermal management optimization on the energy storage station based on the optimal control variable distribution strategy. According to the invention, the balance among the targets is realized based on the combination of the multi-target control strategy and the optimization algorithm, and guarantee is provided for the performance and safety of the battery energy storage station.

The invention discloses a cable trench heat dissipation structure based on optimized arrangement of heat pipes and a design method thereof. The method comprises the following steps: acquiring the total heating value of each cable in the cable trench in the unit length in the extension direction of the cable trench, and determining the diameter of each heat pipe and the number of heat pipes needing to be configured in the unit length in the extension direction of the cable trench according to the total heating value and a heat transfer power upper limit model of a single heat pipe; constructing a multi-physics field coupling simulation model including a thermal field and a temperature field according to the determined diameters of the heat pipes, the number of the heat pipes needing to be configured in the unit length in the extension direction of the cable trench, the structural parameters of the cable trench and the laying environment parameters of the cable trench, and establishing a multi-physics field coupling simulation model based on the multi-physics field coupling simulation model. Optimizing arrangement parameters of the heat pipes in the cable trench; wherein the heat pipe arrangement parameters comprise the insertion depth of the heat pipes in the cable trench and the distance between the adjacent heat pipe sets, and one heat pipe set comprises at least one heat pipe. The current-carrying capacity of the cable in the cable trench can be improved.

The invention discloses a genetic algorithm-based battery module heat dissipation channel optimization design method. The method comprises the following steps of S1, acquiring operation data of a battery module under a plurality of dynamic load working conditions; s2, constructing an initial heat dissipation channel topological structure model based on a physical packaging structure of the battery module and a flow channel layout constraint; s3, setting a multi-objective optimization objective function set; s4, performing heat-fluid-solid coupling simulation on each heat dissipation channel structure candidate body in the first generation population structure by taking the heat generation power matrix as a heat source boundary condition; s5, performing fitness calculation on the obtained heat-flow performance index set by using a multi-objective genetic algorithm based on Pareto optimal sorting; s6, repeating S4 and S5 until a preset convergence criterion or an upper limit of the number of iterations is met; and S7, carrying out comprehensive performance verification and manufacturing feasibility evaluation on the heat dissipation channel topological structure model. The method has the advantages of being high in global search capability, high in heat source response authenticity and good in structural expression diversity.

The invention relates to the field of vehicle control, in particular to a battery cell safety thermal management system for an electric vehicle and an intelligent control method. According to the invention, the differential sensors are arranged in the key area of the battery system and redundancy design is adopted, so that all-directional and multi-dimensional monitoring of the temperature field of the battery is realized; a high-heat scene is pre-judged through an extreme working condition heat production prediction model, a grading early warning mechanism is combined, the heat risk grade, the battery damage stage and the user requirement of a cross-country scene are accurately matched, full-chain protection of prevention, control and emergency is achieved, the influence of excessive intervention on the cross-country performance is avoided, and system safety under the extreme working condition is ensured; the hysteresis of the prediction model is made up through a transient protection mechanism, the prediction lag of the heat production prediction model under the extreme working condition is supplemented through immediate response aiming at the sudden working condition, the thermal runaway risk caused by the time difference of a prediction-execution chain is avoided, and meanwhile, the performance is prevented from being sacrificed due to excessive protection through the strategy of combining short-time redundancy with dynamic falling back.

The invention discloses an informatization machine room environment automatic monitoring and early warning system and method. The system comprises a data acquisition module, a data processing module and an information early warning module. Relates to the technical field of machine room monitoring and early warning, and solves the technical problem of low efficiency of monitoring and early warning of the environment of an informatization machine room in the prior art. By integrating the environment data and the drawing information of the machine room and the calculation amount historical data of the calculation equipment, intelligent division of the machine room area is realized, the heating condition of each monitoring area is accurately predicted by using the calculation amount prediction model, and the area heating grade is determined. And the data acquisition frequency is dynamically adjusted based on the regional heating level, so that the high-risk region can be monitored more meticulously. Meanwhile, the environmental risk coefficient is calculated according to the specific environmental data of each monitoring area, targeted early warning management is realized, and the timeliness and accuracy of early warning are effectively improved.

The invention relates to the technical field of MOS (Metal Oxide Semiconductor) semiconductors, and discloses a SiC VDMOSFET (Vertical Double-diffused Metal Oxide Semiconductor Field Effect Transistor) structure with high heat dissipation performance, which comprises a plurality of MOS cells arranged in parallel, and is characterized in that each MOS cell comprises a metal drain electrode, a semiconductor epitaxial layer, a metal source electrode and a gate oxide layer covering the surface of the metal source electrode, performing ion implantation in the semiconductor epitaxial layer to form an N substrate layer, an N drift layer, an N well layer, a heavily doped P layer and a P well layer; source electrode doping layers are arranged on the two sides of a single MOS cell, the source electrode doping layers are in ohmic contact with the metal source electrodes, and the source electrode doping layers are made of gallium arsenide or gallium nitride or nichrome. According to the invention, the source electrode doping layer with the sinking design is arranged above the MOS cell, so that the N well layer can be in direct contact with the metal source electrode, and the N well layer can be in indirect contact with the metal source electrode through the source electrode doping layer, thereby reducing the ohmic resistance of the N well layer and the metal source electrode, and reducing the heating at the contact position.

The invention discloses a notebook computer waste heat recycling system and method based on a thermoelectric conversion effect, and relates to the technical field of thermoelectric materials and devices, and the system comprises a distributed thermoelectric array module which is composed of a plurality of miniature TEG units, is distributed in a high heating area of a notebook computer, and directly generates power through temperature difference; the self-adaptive heat management module comprises a heat-conducting silica gel layer and micro heat dissipation fins and is used for optimizing the temperature difference between the hot end and the cold end; the multi-stage electric energy management module comprises a rectifying circuit, a DC-DC boosting chip and a recycling energy storage battery device, converts the unstable low-voltage direct current output by the TEG into stable electric energy, stores the stable electric energy and supplies the stable electric energy to target equipment; and the intelligent control module dynamically adjusts the working area of the micro thermoelectric power generation unit according to the data of the temperature sensor, preferentially selects the position with the maximum temperature difference to generate power, and matches the power supply demand through a PMIC chip. Efficient conversion and utilization of waste heat are realized through innovative design, the problem of low thermoelectric conversion efficiency in miniaturized equipment is solved, and energy conservation and environmental protection are realized.