42 results about "Thermal equilibrium state" patented technology

The invention relates to the field of semiconductor device testing, and discloses a power device thermal resistance testing method and power device thermal resistance testing equipment, and the method comprises the following steps: controlling an environment to rise to a first preset temperature in a temperature gradient manner, and sequentially applying a calibration current to a power device at each temperature gradient to test a first forward voltage drop of the power device; calibrating the power device according to the temperature value of each temperature gradient and the first forward voltage drop value corresponding to each temperature gradient to obtain a temperature-voltage drop curve; controlling the environment temperature to be a second preset temperature, applying a first rated power to control the power device to reach a heat balance state, applying a calibration current to the power device to test a second forward voltage drop of the power device, and measuring the shell temperature of the power device; and obtaining the thermal resistance of the power device according to the temperature-voltage drop curve, the second preset temperature, the second forward voltage drop, the first rated power and the shell temperature of the power device. According to the invention, the problem of inaccurate thermal resistance test of the power device is solved.

The invention discloses a cement kiln thermotechnical diagnosis analysis method and system based on heat balance calculation, and relates to the field of cement kiln thermotechnical diagnos.The analysis method comprises the steps that a corresponding heat balance state is calculated by obtaining cement kiln thermotechnical parameters and material component data, the material balance relation between the material input quantity and the material output quantity of the cement kiln is analyzed; evaluating the energy utilization efficiency of the cement kiln firing system by taking the ratio of the cement kiln clinker formation heat to the input total heat as a thermal efficiency index, and generating a diagnostic index by combining a thermal balance state and a material balance relationship; and comparing the diagnosis index with a historical operation optimal value to determine a deviation condition, evaluating heat loss abnormity and an operation state of the cement kiln thermotechnical engineering according to the deviation condition, constructing a causal atlas to predict a development trend of the cement kiln thermotechnical engineering, and obtaining a cement kiln combustion control result. The method can help to understand how each factor affects the overall performance of the thermal system, and facilitates the optimization and adjustment of different parameters according to the causal relationship in the later stage.

The invention relates to the technical field of data processing, in particular to an intelligent optimization control method and system for a rectifying tower. The method comprises the following steps: collecting steam quantity, cold quantity and tower plate temperature data at each moment, and clustering historical temperature data of the tower plate temperature data at the current moment to obtain a plurality of clusters; acquiring temperature stability in each cluster, and acquiring a heat balance state index at the current moment according to the temperature stability; the method comprises the steps of obtaining temperature change disturbance controllability in a control period at the current moment, obtaining the number of adjustment iterations of the control period at the current moment according to the change disturbance controllability, and obtaining a predicted temperature value according to the number of adjustment iterations of the control period at the current moment. According to the size relation between the predicted temperature value and the heat balance state index at the current moment, the steam amount and the cold amount at the current moment are adjusted, and the rectification process is dynamically and accurately controlled by predicting the future temperature value.

The invention belongs to the technical field of electrical performance test, and particularly relates to an automatic test method and system for an inflatable switch cabinet factory temperature rise test, and the method comprises the steps: obtaining an original test point temperature sequence and an original environment temperature sequence, executing the noise suppression, and outputting a test point temperature observation value sequence and an environment temperature observation value sequence; acquiring a temperature rise evolution rate based on the observed value; the change gradient of the temperature rise evolution rate is analyzed, and convective stationary factors are obtained in combination with the temperature difference; in a preset disturbance observation window, integral accumulation compensation is carried out on the environment temperature change gradient by using a time weighting core, and a balance judgment index is generated through maximum value search; and determining a thermal equilibrium state based on the equilibrium determination index and the convective stationary factor and executing physical closed-loop control. According to the invention, the problem of advanced shutdown caused by judgment artifacts generated by environment temperature drift is solved, and the automation level and the test reliability of a temperature rise test are improved.

The present invention discloses a method for predicting the bending springback of metal pipes taking into account non-isothermal thermal field loading. For the bending modes of half-circle heating of the outer arch of the bending section, half-circle heating of the inner arch, and full-circle heating, the temperature field of the bending process is regarded as a thermal equilibrium state, and the temperature distribution of the pipe cross section under different heating methods is evaluated; according to the material constitutive properties of the metal pipe at high temperature, based on the force balance conditions of the bending outer arch and the bending inner arch, the offset of the neutral layer on the pipe cross section and the asymmetry of the yield surface distribution in the elastic-plastic zone are taken into account, so as to accurately calculate the elastic-plastic bending moment and improve the prediction accuracy of the springback angle. The present invention can be used for the preliminary and rapid calculation of the springback angle after hot bending of pipes under different position mold heating conditions, and has a guiding role in the design of the temperature field of hot bending of pipes and the selection of forming parameters.

Embodiments of the present application disclose a temperature measurement calibration method and device, electronic equipment and a storage medium. The method comprises adjusting the current temperature of a plurality of black bodies according to a temperature measurement gear, the temperature measurement gear representing a temperature range of temperature measurement calibration; if it is detected that an infrared temperature measurement device is in a thermal equilibrium state, controlling the infrared temperature measurement device to collect standard AD values corresponding to each of the black bodies; and establishing a corresponding relationship between AD values and temperatures through the standard AD values corresponding to each of the black bodies and the current temperature of each of the black bodies, to complete temperature measurement calibration. The embodiments of the present application can automatically calibrate the infrared temperature measurement device, and improve the efficiency and accuracy of temperature measurement calibration.

The invention provides a machine tool spindle thermal error modeling prediction and compensation method based on physical-data hybrid drive, and the method comprises the steps: S1, synchronously collecting key position data in a process that a machine tool spindle operates from a cold machine state to a thermal balance state; s2, carrying out collinearity clustering analysis and grey relational degree analysis on the acquired temperature data of the measuring points, and selecting a plurality of sensitive temperature measuring point data; s3, constructing a physical-data hybrid drive neural network model based on a thermal expansion physical equation, inputting the sensitive temperature measurement point data as an independent variable and the corresponding strain data as a dependent variable into a neural network for training, and performing strain prediction; and S4, performing multiple linear regression fitting on strain data predicted by the neural network model and thermal error data acquired by experiments, establishing a thermal error prediction model of the machine tool spindle, and performing thermal error compensation according to a prediction result.

The invention relates to the technical field of thermal management, in particular to a vehicle thermal management cooperative control system which comprises a path optimization module, a path screening module, a pressure intensity monitoring module, a flow speed adjusting module and a feedback adjusting module. According to the method, through deep analysis of response time sequences, heat source emergency degrees and continuous changes of various cooling targets, based on thermal control response, cooling medium consumption and temperature stability parameters which are collected in real time, the priority level of path factors is dynamically adjusted, and the pressure intensity trend between cooling nodes is linked with flow velocity deviation and heat energy accumulation; comprehensive judgment of temperature and cooling response time sequence of a temperature-sensitive area is achieved, cooling path abnormity is recognized and corrected in time depending on trend consistency and a feedback correction mechanism, path scheduling and cooling instruction output are continuously optimized, the self-adaptive regulation and control capacity under variable working conditions and load fluctuation is improved, the continuity and precision of overall heat energy management are enhanced, and the service life of the system is prolonged. And the heat balance state of the multiple vehicle body components is stably kept.

Embodiments of the present disclosure include systems and methods for reducing a sample complexity and a time complexity associated with noise-robust characterization of a quantum device. A plurality of copies of a Gibbs state of the quantum device in thermal equilibrium at a high-temperature. A plurality of estimates for expectation values of the plurality of copies of the Gibbs state. A plurality of cluster derivatives for a plurality of connected clusters of a low-degree Hamiltonian are calculated. A function is inverted on the plurality of estimates based on the plurality of cluster derivatives and a set of Hamiltonian coefficients are estimated for the low-degree Hamiltonian of the quantum device.

The application discloses a battery group safety protection method and device with passive branch self-detection fusing, and belongs to the technical field of battery safety protection. Passive execution units are independently configured for each parallel branch, the thermal equilibrium state of the branch is taken as a dynamic reference to sense the temperature rise deviation, an alloy solid-state phase change material is used to realize physical fusing, and a charge temporary storage circuit is used to complete power-off coding and reporting. The method and device are not dependent on external power supply, master control chips, software algorithms and communication instructions, can independently detect the branch, respond in milliseconds, accurately locate and independently isolate, and have nearly zero power consumption during normal operation. The unified fusing of all branches ensures that the battery pack is completely electrically disconnected during disassembly, and the risk of combustion and explosion caused by residual electricity is eliminated. The method and device are compatible with various battery cells and group structures, can be directly embedded into an existing battery system, and realize passive bottom-up safety protection in the whole life cycle.

The present invention relates to the technical field of testing methods. Specifically disclosed is a method for predicting the tensile strength of a carbon fiber-reinforced epoxy resin matrix composite (CFRC) at a high temperature. The prediction method comprises: determining a pyrolysis process of a material during a heating process; determining a peak temperature at each stage; determining a temperature holding time required for a unidirectional CFRC laminate to reach a thermal equilibrium state; determining the tensile strength of the CFRC at different temperature points in a high-temperature environment; and determining a variation law and prediction method of the tensile strength of the material during the pyrolysis process. The prediction method of the present invention takes into account the influence mechanisms of resin matrix thermal softening and thermal decomposition and carbon fiber high-temperature softening on the tensile strength of CFRCs, can truly and effectively characterize the degradation process of the tensile properties of CFRCs at high temperatures, allows for macroscopic prediction of the tensile strength of CFRCs at high temperatures, and adapts to a temperature range of 20-450°C.

The application relates to a method for quantitatively characterizing fluid adsorption on a rock pore surface, comprising the following steps: establishing a molecular simulation initial model based on the molecular structure and physical parameters of the rock and the fluid; giving the molecular simulation initial model an initial velocity and a force field, and starting the movement of the molecules; after the model is in a thermal equilibrium state, recording the coordinate information of each fluid molecule at each time step; taking the rock pore surface Z0 as a starting point, dividing the whole model into n series of cuboid intervals with equal intervals of Delta r along the Z axis; solving the model ensemble average, and then calculating the atomic number density in each cuboid; drawing a fluid atomic number density diagram along the Z axis, and then determining the adsorption layer and the homogeneous phase zone; and calculating the atomic number density ratio in the adsorption layer and the homogeneous phase zone, which is the adsorption capacity of the rock surface to the component. The method can accurately calculate the adsorption capacity of the solid surface, and provides theoretical support for subsequent research on fluid flow mechanism and analysis of flow characteristics.

The invention provides a thermal shock resistance temperature measurement method and device for a thermopile sensor and electronic equipment, and relates to the technical field of temperature measurement, and the method comprises the steps: carrying out the active heating of the thermopile sensor, enabling the thermopile sensor to reach and be stabilized at a preset preheating temperature, and building a heat balance state; after the heat balance state is established, heating turn-off control is executed, so that the heating power is reduced to zero from the steady-state heating power; collecting an output signal of the thermopile sensor in a measurement time window without active heating; calculating a target temperature based on the collected output signal; wherein the process of establishing the heat balance state and the process of collecting the output signal are executed in sequence in time, so that the output signal collected in the measurement time window is not interfered by the self-heating noise of the heater. According to the invention, at any environment temperature, by automatically optimizing the preheating state, energy efficiency and equipment safety are taken into account while the thermal shock resistance effect is ensured, and high-performance body temperature measurement which is immediately measured after startup, accurate in first measurement and stable in result is realized.

This invention discloses a precision machining method for large curved surface molds. The steps are as follows: rough machining of the large curved surface mold on both sides using a CNC milling machine; allowing the large curved surface mold to stand freely in air; finishing machining the bottom plane of the mold in the free state; flipping the mold over and positioning it with the bottom plane, checking the flatness of the bottom plane of the mold body in the free state; preheating the machine tool to allow all moving parts of the CNC machine tool to reach thermal equilibrium in the machining area, thus ensuring stable operation of the machine tool; verifying changes in machine tool accuracy; machining the large curved surface of the mold using a hemispherical insert for finishing; and high-precision surface inspection of the machined large curved surface. The beneficial effects of this invention are: by using a preheating program to keep the spindle rotating and running the XYZ linkage idle for 1.5 to 2 hours, the CNC machine tool reaches thermal equilibrium; and by checking tool wear using a verification ring, the problem of tool wear judgment is effectively solved.

The invention provides a pulse control method, device and system for establishing SDBD heat balance, and relates to the technical field of plasmas, and the method comprises the steps: generating a first PWM control signal; the first PWM control signal is used for controlling the microsecond pulse power control unit to control the DBD load to be in an electrode preheating mode; when it is determined that the DBD load is in the heat balance state, a second PWM control signal is generated; the second PWM control signal is used for controlling the microsecond pulse power control unit to control the DBD load to be switched from the electrode preheating mode to the discharging steady-state mode. According to the method, the establishment time of heat balance is greatly shortened through electrode preheating, so that DBD load discharge directly enters a discharge steady state, and the stability of active components in plasma and the controllability and repeatability of a treatment effect are ensured.

The application discloses a kind of CNC machine tool feeding system full working condition thermal characteristic dynamic coupling monitoring method, including acquisition machine tool cold state data;Record the steady-state temperature of each measuring point in thermal equilibrium state and screw tail elongation;Collect the temperature of each measuring point, screw tail elongation and positioning error under variable speed, variable load experiment;After shutdown, continue to monitor the cooling curve;Based on Newton cooling law fitting thermal time constant;Range analysis and variance analysis are carried out to orthogonal experiment data of four factors and three levels of temperature, speed, load and stroke, to obtain the priority of each influencing factor;Simulation model is constructed, and experimental data and simulation data are compared point by point, to calculate the average deviation of temperature, deformation and positioning error;If deviation is out of limit, reverse optimization friction coefficient and heat transfer coefficient until high-precision simulation model is obtained;Based on high-precision simulation model, extract experimental difficult-to-measure area data, track global thermal deformation transmission path, generate thermal error compensation table, and guide heat dissipation structure optimization.

This invention discloses a data-driven method and system for optimizing the energy efficiency of waste gas treatment equipment, relating to the field of data processing technology. The method includes: obtaining a multi-point operating data sequence within a window; performing time-series iterative analysis of the window state to determine the operating vector of the window iterative structure's thermal equilibrium state and the constrained operating conditions vector of the window iterative structure; acquiring a pre-constructed distribution model of the high-efficiency operating state of a new three-chamber RTO; performing deviation analysis to determine the state distribution deviation coefficient; performing energy efficiency optimization control analysis of the waste gas treatment equipment to determine the energy efficiency uncertainty coefficient; and determining an energy efficiency optimization scheme for the new three-chamber RTO based on the state distribution deviation coefficient and the energy efficiency uncertainty coefficient. This solves the technical problem in existing technologies where optimization based on equipment operating states is difficult, leading to poor energy efficiency improvement. It achieves the technical effect of adaptive energy efficiency optimization based on equipment operating states, thereby improving the energy efficiency of waste gas treatment equipment.

The application discloses a kind of airflow temperature sensor time constant measurement method based on laser positive step excitation, belong to airflow temperature measurement field.The application implementation method is: in wind tunnel constructs normal temperature airflow under thermal equilibrium;Keep the airflow temperature sensor to be measured in the normal temperature airflow of fluid parameter that has been set reaches thermal equilibrium state, open laser, under normal temperature airflow, using continuous laser irradiation airflow temperature sensor's sensitive part, so that the airflow temperature sensor to be measured reaches new thermal equilibrium state, using data acquisition equipment collects the temperature-time response curve of airflow temperature sensor to be measured under laser positive step excitation;Equivalent airflow temperature model is constructed, and the airflow temperature sensor time constant under high-temperature airflow is obtained using the equivalent airflow temperature model, realizes the airflow temperature sensor time constant measurement under laser positive step excitation.The application does not need to heat flow field to high-temperature state, can reduce airflow temperature sensor time constant measurement cost.

This application relates to a method, apparatus, device, and readable storage medium for evaluating the performance of an automotive cooling system, belonging to the field of vehicle performance evaluation technology. The method includes determining the target energy consumption type of the vehicle under test based on a pre-run test; determining the initial state of charge (SOC) value of the vehicle under test based on the target energy consumption type; controlling the vehicle under test to operate under preset mode conditions based on the initial SOC value to obtain the fuel cell stack inlet and outlet water temperatures at different times; determining whether the vehicle under test has reached thermal equilibrium based on the fuel cell stack inlet and outlet water temperatures; if thermal equilibrium is reached, the performance evaluation result of the cooling system is deemed qualified; otherwise, the performance evaluation result of the cooling system is deemed unqualified. This application classifies the fuel cell vehicles under test to differentiate the initial evaluation conditions for vehicles with different powertrain structures and energy ratios, and clarifies the initial energy state of the vehicle test, effectively ensuring the accuracy of the evaluation results.

This invention belongs to the field of machine tools, specifically relating to a method for monitoring the preload of machine tool bearings, comprising: Step 1, selecting a temperature measurement point and arranging a temperature sensor at the measurement point; Step 2, rotating the machine tool spindle under a certain load and speed until the machine tool reaches thermal equilibrium, and measuring the steady-state temperature T of the measurement point on the spindle box using the temperature sensor; Step 3, establishing a relationship between the steady-state temperature of the measurement point on the spindle box and the heat generation power of the monitored bearing, and calculating the heat generation power of the monitored bearing based on this relationship; Step 4, calculating the rotational speed and angular velocity of each part of the bearing; Step 5, calculating the bearing clearance P. d This invention enables quantitative monitoring of preload during spindle operation.

The invention provides a power battery charging control method and device, a storage medium and a program product, and relates to the technical field of vehicles. The power battery charging control method comprises the steps that a detected charging signal for a power battery is responded, the health state of the power battery is obtained, and the heat balance temperature of the power battery in the charging process is obtained; determining a required charging current range for keeping the power battery in a heat balance state according to the heat balance temperature; according to the state of health, a charging current value corresponding to the state of health is determined from the required charging current range, and the charging current value is the maximum charging current value for ensuring the charging safety of the power battery in the state of health; and controlling the power battery to charge according to the charging current value. The charging efficiency is improved while the charging current jump of the power battery is reduced.

The invention discloses a thermal balance efficiency and temperature calculation method for an electromechanical composite transmission device. The method comprises the following steps: acquiring a structure parameter, a working condition parameter and an initial temperature in the electromechanical composite transmission device; calculating the viscosity of the lubricating oil according to the current lubricating oil temperature; calculating the power loss of each part of the transmission device based on the viscosity of the lubricating oil and the working condition parameters; establishing a system thermal network model of the transmission device; inputting the power loss of each part of the transmission device as a heat source into the system heat network model, solving a heat balance equation set, and obtaining the temperature value of each temperature node, including a new lubricating oil temperature; whether the electromechanical composite transmission system reaches a heat balance state or not is judged, and if yes, the total efficiency of the transmission device in the heat balance state and the balance temperature of each temperature node are output. The invention provides an innovative solution for energy efficiency optimization and thermal management of the electromechanical composite conduction device.

The application relates to a monitoring method for judging whether a gear box system reaches thermal equilibrium on site, and relates to a monitoring method for judging whether a gear box device reaches a whole thermal equilibrium state in continuous operation, so as to solve the problem that existing monitoring methods cannot directly judge whether a gear box reaches thermal equilibrium through quantitative real-time monitoring data. In the application, the oil inlet temperature, the oil return temperature, the first bearing temperature and the second bearing temperature of the gear box are respectively acquired at equal interval time, and v m The corresponding first-order shaft displacement amplitude and first-order phase angle are obtained; and whether the gear box system reaches thermal equilibrium is judged through quantitative real-time monitoring data. The gear box system can be directly judged to reach thermal equilibrium state through quantitative real-time monitoring data, and the on-site dynamic balancing operation efficiency and success rate of a vibration test technician are greatly improved.

The invention provides a time-based thermal error compensation method for a numerical control system, a medium and equipment, and relates to the technical field of numerical control system.The method comprises the steps that compensation values needing to be repaired in different time periods after machining of a machine tool is started are collected, and the number of the time periods serves as the interval number of a time-based thermal error compensation function; filling the time length and the compensation value of each time period into a heating interval and a cooling interval of the time type thermal error function; a real-time compensation value is calculated according to data of the temperature rise interval during machine tool machining, the compensation value is constant after a heat balance state is achieved, the compensation value is calculated according to the temperature rise interval within the hot and cold time after machine tool machining is stopped, and the real-time compensation value is calculated according to data of the temperature reduction interval after the hot and cold time is exceeded; and the real-time compensation value takes effect when the machine tool executes the G00 code. According to the method, nonlinear thermal deformation can be effectively compensated, and the machining precision of the workpiece is improved.

The embodiment of the present application discloses a method and device for limiting radio frequency alternating magnetic field in magnetic resonance imaging. The method comprises: obtaining a first B1 field intensity required when a local coil surface temperature reaches a maximum safe temperature in a thermal equilibrium state when the local coil is placed at a set position in a detection hole of an MR scanner; obtaining a second B1 field intensity required for heating the local coil surface temperature to the maximum safe temperature within a set MR total scanning time when the local coil is placed at the set position according to a relationship among the local coil surface temperature, the scanning time and the B1 field intensity during MR scanning and the first B1 field intensity; and determining a third B1 field intensity required for MR scanning using the set MR total scanning time according to the second B1 field intensity. The embodiment of the present application reduces waste of B1 field performance while ensuring patient safety and improving MR imaging quality.

The invention discloses a liquid cooling server flow dynamic adjusting system based on a genetic algorithm, and relates to the technical field of liquid cooling flow data processing. The liquid cooling server flow dynamic adjusting system based on the genetic algorithm comprises a liquid cooling flow heat energy data collecting and preprocessing module used for collecting and preprocessing liquid cooling flow heat energy operation data; the genetic algorithm-based controllable baffle opening degree optimization module is used for generating a controllable baffle opening degree combination scheme, evaluating the flow heat energy efficiency of the scheme, executing genetic algorithm optimization and outputting a final controllable baffle opening degree combination scheme; the controllable baffle execution control and opening correction processing module is used for adjusting the position of the controllable baffle, executing controllable baffle opening correction calculation and adjusting the actual opening; and the operation equilibrium evaluation and self-adaptive optimization module is used for evaluating the liquid cooling flow thermal equilibrium state and adjusting subsequent genetic algorithm parameters. The problem that the cooling efficiency of a high-load chip area is insufficient due to the fact that the flow direction of cooling liquid cannot be adjusted according to real-time loads in the prior art is solved.

The invention discloses a thermal parameter identification method, system and equipment for a power semiconductor device and a heat dissipation system thereof, and a storage medium. The method comprises the following steps: heating a to-be-tested device to a thermal equilibrium state; the device shell temperature and the radiator temperature of the device to be measured are measured, when other n devices are installed on the same radiator, the device shell temperature and the radiator temperature of other n devices are measured at the same time, the device shell temperature refers to the substrate temperature below the center of the device chip, and the radiator temperature refers to the radiator surface temperature below the center of the device chip; measuring the device saturation voltage drop and the heating current of the to-be-measured device, and multiplying the device saturation voltage drop by the heating current to obtain the device loss; and calculating the thermal resistance from the device shell to the radiator by using a formula according to the device shell temperature, the radiator temperature and the device loss. According to the invention, the thermal parameter identification of the device and the heat dissipation system can be realized without changing the heat dissipation working condition and measuring the junction temperature cooling curve.

The application belongs to the technical field of nuclear magnetic resonance hyperpolarization, and specifically discloses a method for evaluating the relationship between the affinity of a substrate and a SABRE catalyst precursor and the hyperpolarization performance, which comprises the following steps: preparing a to-be-tested NMR sample: dissolving an Ir-based catalyst precursor and the Ir-based catalyst precursor and the substrate in deuterated methanol respectively to obtain different to-be-tested NMR samples; collecting a thermal equilibrium 1 HNMR spectrum: placing the to-be-tested NMR sample into a nuclear magnetic instrument, tuning the lock field shimming, and collecting the hydrogen spectrum of the sample in a thermal equilibrium state; polarization transfer: introducing para-hydrogen, and activating the catalyst precursor to form a SABRE catalyst; placing the sample into a nuclear magnetic shielding instrument, setting a polarization transfer field strength, continuing to introduce para-hydrogen to realize polarization transfer, and stopping the aeration; collecting a hyperpolarized 1 HNMR spectrum: quickly transferring the sample treated by polarization transfer into a nuclear magnetic detection instrument, inputting a preset instruction to collect the hydrogen spectrum in a hyperpolarized state; data processing and analysis: processing and analyzing the obtained hydrogen spectrum data, including calculating an equilibrium constant and a signal enhancement multiple.

The present invention discloses a method for calculating the surface temperature of a large electric brake resistor based on a constant temperature drop. The method includes the following steps: establishing a thermal equilibrium state control equation for the large electric brake resistor; organizing the thermal equilibrium state control equation based on a constant temperature drop to obtain a formula for the resistor temperature rise after the resistor is energized; collecting relevant data; determining the convection heat transfer coefficient α; and substituting the collected data and the convection heat transfer coefficient α into the resistor temperature rise formula after the resistor is energized to calculate the resistor temperature rise Δt after the resistor is energized. b ; Compare the initial air temperature t0 with the resistor temperature rise △t after the resistor is energized b Add them together to obtain the resistor surface temperature t after the resistor is energized. b The present invention combines formula calculation with experimental data summary, and can accurately and quickly calculate the surface temperature of the resistor after the resistor is energized.

The present disclosure provides a heat determination method and device for engine coolant, and belongs to the field of engines. The method comprises: in the running state of the engine, circulating the coolant in the cooling circuit by the first water pump to make the engine on the engine test bench reach a thermal equilibrium state; in the case that the engine reaches the thermal equilibrium state, obtaining the inlet temperature and outlet temperature of the coolant and the liquid flow of the coolant in the cooling circuit; in the case that the temperature difference between the inlet temperature and the outlet temperature is greater than or equal to a first temperature threshold, determining the first heat absorbed by the coolant according to the temperature difference between the inlet temperature and the outlet temperature and the liquid flow. Since the error caused by the insufficient measurement accuracy of the temperature sensor can be ignored when the temperature difference between the inlet temperature and the outlet temperature is greater than the first temperature threshold, the accuracy of the finally determined heat absorbed by the coolant can be effectively improved.