5082 results about "Thermal management system" patented technology

The invention discloses a hydrogen fuel cell vehicle ultralow temperature cold start thermal management system, and relates to the technical field of hydrogen fuel cell vehicle thermal management, the hydrogen fuel cell vehicle ultralow temperature cold start thermal management system comprises a thermal management platform, the thermal management platform is in communication connection with the following modules: a temperature monitoring and predicting module, and the temperature prediction module is used for monitoring the temperature of key parts in the hydrogen fuel cell by using the temperature sensor and predicting the change trend of the temperature in the fuel cell in combination with the temperature prediction model. By utilizing the high-precision temperature sensor and the long-short-term memory network model, the internal temperature change trend of the fuel cell is pre-judged in advance, the heating power is dynamically adjusted, it is ensured that the temperature of the cell is rapidly increased to the proper working temperature in the ultralow-temperature environment, starting difficulty caused by local supercooling is avoided, the low-temperature starting time is remarkably shortened, and the starting efficiency is improved. The reliability and the stability of the system in an extreme environment are improved, and the normal operation of the hydrogen fuel cell vehicle in a cold region is guaranteed.

The invention relates to the technical field of new energy automobile thermal management, in particular to a direct cooling and heating management system and method in an automobile power battery. The method comprises the following steps: acquiring vehicle real-time operation condition data and battery pack state monitoring data; working condition mode recognition processing is conducted according to the vehicle real-time operation working condition data, and vehicle working condition mode feature data are generated; performing thermal load demand analysis on the battery pack state monitoring data based on the vehicle working condition mode characteristic data to obtain dynamic thermal load demand data of the battery pack; and according to the dynamic thermal load demand data of the battery pack, refrigerant demand quantity calculation and analysis are carried out, the refrigerant supply capacity of the current direct cooling system is evaluated, and refrigerant supply and demand matching feature data are obtained. The specific requirements of three heat sources of the battery, the motor and the cockpit for the refrigerant flow are quantified, and a refrigerant distribution strategy is formed according to the proportional relation, so that the safety of the battery is improved, and the driving comfort and the working stability of the electric driving system are also guaranteed.

A heat management system includes: a first flow passage in which a reserve tank is not provided; a second flow passage in which a reserve tank is provided; a switching device configured to switch between coupling and uncoupling of the first flow passage and the second flow passage to and from each other; and a control device configured to control the switching device. The control device is configured to, when predetermined coupling conditions are met, make the heat medium flow through the first flow passage and the second flow passage that have been coupled to each other by the switching device. When the control device determines that air bubbles exceeding the allowable volume are present in the heat medium, the coupling conditions switch from being unmet to being met.

A thermal management system includes a compressor, a water-cooled condenser, a battery chiller, a valve body assembly, a first water pump, a second water pump, and a third water pump that are disposed in a centralized manner. The thermal management system can separately form a passenger compartment cooling loop, a passenger compartment heating loop, a battery cooling loop, a battery heating loop, and an electrical driver cooling loop, and any one or more of the passenger compartment, the battery, and the electrical driver can be cooled or heated.

The invention relates to the technical field of electric vehicle power battery thermal management, and discloses a temperature change-based power battery thermal management system, which comprises a thermal simulation pre-judgment end, a sensor network end, a dynamic liquid cooling control end, a BMS decision end and a fault diagnosis module, aiming at the technical defects of out-of-control temperature difference, response hysteresis and leakage risk caused by static flow channel design of the existing liquid cooling system, breakthrough is realized through a three-dimensional technical architecture: a CFD (Computational Fluid Dynamics) prejudgment layer: automatically calibrating sensor distribution points based on temperature field standard deviation, and improving temperature difference identification precision; according to the dynamic valve control layer, an electromagnetic three-way reversing valve is adopted to execute a directional temperature control strategy, an edge battery cell is preferentially introduced under the low-temperature working condition, and heat dissipation is enhanced under the high-temperature working condition; according to the redundant safety layer, the valve body and the pipeline are integrally formed, the leakage rate is reduced, and flow maintenance under single-point failure is achieved through a double-water-inlet parallel pump source. The method has the effects of improving the convergence speed of temperature difference between modules, reducing the attenuation rate of battery life and reducing the risk probability of thermal runaway.

The invention discloses a battery prefabricated cabin intelligent refrigeration control method and system based on data driving, and relates to the technical field of battery energy storage system thermal management, and the method comprises the steps: collecting the operation multi-source data of a battery prefabricated cabin, and constructing the current thermal environment state expression; constructing a battery cabin short-term internal heat change trend prediction model based on the operation multi-source data of the battery prefabricated cabin; and according to the current thermal environment state expression and the thermal trend prediction result of the battery compartment short-term internal thermal change trend prediction model, an optimal control strategy for an air cooling, liquid cooling or composite refrigeration mode is formulated. According to the method, a closed-loop thermal management system driven by data is formed by constructing a thermal state expression module, a thermal trend prediction module and an intelligent refrigeration decision module, accurate recognition and active regulation and control of the thermal risk of the battery prefabrication cabin are achieved, the temperature control precision and the response efficiency are improved, energy consumption and over-control risks are effectively reduced, and the method is suitable for popularization and application. And the system has the advantages of remarkable engineering practical value and system intellectualization.

A thermal management system defines a thermal management system flowpath to provide a flow of a fluid to an electric machine and a power electronics assembly electrically connected to the electric machine. The thermal management system includes a first heat exchanger thermally connected to the thermal management system flowpath and to the electric machine, and a second heat exchanger thermally connected to the thermal management system flowpath downstream of the first heat exchanger. The second heat exchanger is thermally connected to the power electronics assembly.

The invention discloses an active prediction type modular battery thermal management system, which comprises the following steps: a liquid path and electrical connection module, a data acquisition module, a communication transmission module, a working condition identification module, a feedback control module, a cooperative control module, an execution adjustment module, a state feedback module, an exception handling module, a redundancy switching module and the like. A prediction control instruction is generated by combining a working condition recognition result, a fusion control quantity is formed by the prediction control instruction and temperature feedback, amplitude limiting control is conducted according to thermal power evaluation and a set threshold value, coordinated adjustment of a pump, a valve and a bypass assembly is achieved, and if recognition fails or data is abnormal, the system automatically freezes prediction control and executes closed-loop adjustment only depending on feedback. And the standby device takes over the fault after fault judgment, so that continuous operation and safety maintenance of the system are guaranteed. The system has a modular structure and complete maintenance process support.

The invention relates to the technical field of model prediction, in particular to a power battery thermal management simulation method and system based on a neural network. The method comprises the following steps: acquiring electrical performance parameters, thermal performance parameters and mechanical performance parameters corresponding to the power battery through coupling experiment measurement, and performing three-dimensional coupling simulation construction to generate a three-dimensional physical field coupling model of the power battery; battery thermal characteristic evaluation is carried out from four dimensions of a micro material corresponding to the power battery, a battery monomer, a battery module and a thermal management system through the power battery three-dimensional physical field coupling model, and a power battery thermal characteristic data set is obtained; and constructing a multi-scale deep neural network architecture based on a neural network in combination with the thermal characteristic data set of the power battery to perform thermal management prediction training and thermal management constraint optimization control, and generating an optimal thermal management control strategy of the power battery to execute corresponding thermal management control work. According to the invention, efficient simulation and intelligent prediction optimization of thermal management of the power battery can be realized.

The invention discloses a fault diagnosis and early warning method for an intelligent thermal management system of a power battery, and relates to the technical field of new energy automobile power battery safety. Comprising the following steps executed in sequence: S1) based on real-time monitoring data of a distributed temperature sensor in a battery module, constructing a dynamic space-time neural field model through an adaptive graph neural network, and generating a thermal field fingerprint representing a thermal propagation topology mode; according to the fault diagnosis and early warning method for the intelligent thermal management system of the power battery, a dynamic space-time neural field model is constructed, a sub-DEG C weak thermal abnormal signal is accurately captured, and a micro short circuit fault is recognized in advance in combination with electric heating delay analysis, so that the problem that a fault precursor signal is submerged by a complex working condition is solved; a double-channel verification mechanism depends on double mutual verification of physical law rigid constraint and intelligent residual feature recognition, the misjudgment risk caused by cooling system fluctuation and sensor noise is eliminated, and the early warning accuracy is improved.

The utility model discloses a heat management integrated module mounting structure which comprises an agent side runner plate and a water side runner plate, a plurality of refrigerant channels are formed in the agent side runner plate, the outer surface of the agent side runner plate comprises a first mounting surface and a first connecting surface which are opposite in direction, the first mounting surface is provided with a plurality of agent side runner connectors, and the agent side runner connectors are connected with the first connecting surface. The plurality of refrigerant side runner interfaces are communicated with the plurality of refrigerant channels; a plurality of cooling liquid channels are formed in the water side flow channel plate, the outer surface of the water side flow channel plate comprises a second mounting surface and a second connecting surface which are opposite in direction, the second mounting surface is provided with a plurality of first water side flow channel connectors, and the first water side flow channel connectors communicate with the cooling liquid channels; and the second connecting surface is opposite to the first connecting surface and is fixedly connected with the first connecting surface. The utility model further discloses a vehicle with the same. The space utilization rate of the heat management system can be optimized, the flow resistance and heat loss of the system can be reduced, and the assembly convenience of the heat management component and the heat management object can be effectively improved.

The invention relates to the technical field of battery thermal management, in particular to a liquid-cooled fuel cell thermal management subsystem and a control method thereof.The liquid-cooled fuel cell thermal management subsystem comprises a fuel cell body, a cooling liquid circulation system, a temperature sensor, a flow sensor and a thermal management system controller; the heat management system controller is electrically connected with the temperature sensor, the flow sensor, the water pump, the radiator, the heater and the control valve, calculates the pile temperature of the fuel cell main body through load current, and continuously monitors the inlet temperature and the outlet temperature of the fuel cell main body and the outlet flow of the water pump at the same time; and the working state of the cooling liquid circulation system is controlled according to the monitored and calculated data, so that the temperature of the fuel cell main body is accurately controlled.

The invention discloses a self-adaptive thermal management system for an energy storage container, and particularly relates to the technical field of thermal management of the energy storage container, which is characterized in that a joint probability model fusing multi-source data is constructed, Gaussian process regression and multi-precision CFD simulation fusion are introduced, and a chaotic feature extraction and anomaly recognition mechanism is combined, so that the self-adaptive thermal management of the energy storage container is realized. High-confidence dynamic modeling of complex airflow and temperature fields in the energy storage container and accurate recognition of abnormal areas are achieved, and the self-adaptive regulation and control capacity of a heat management system is improved; by collecting temperature and humidity data, constructing a condensation early warning mechanism and a micro-airflow intervention strategy and combining edge calculation and reinforcement learning, condensation risk real-time identification and control strategy optimization are achieved, the defects that in a traditional scheme, response to the problems of thermal runaway and condensation water accumulation is slow, and control lags are effectively overcome, and the method is suitable for large-scale popularization and application. And the safety and the reliability of the self-adaptive thermal management system of the energy storage container under the dynamic working condition are improved.

The invention discloses a fuel cell vehicle thermal management system and a construction method thereof, and the fuel cell vehicle thermal management system comprises a thermodynamic modeling module, a double-layer fuzzy sliding mode controller, an actuator cooperative control module, a working condition adaptive module and a fault protection module. According to the thermal management system of the fuel cell vehicle and the construction method of the thermal management system, the dynamic thermodynamic model is established, and the double-layer fuzzy sliding mode controller and the actuator cooperative control module are designed, so that millisecond-level high-precision tracking of the temperature of the electric pile and online real-time compensation of unknown disturbance are realized; meanwhile, stable operation of the system in the whole working condition domain range can be ensured through the working condition self-adaption module and the fault protection module, and the system has the advantages of being high in control precision, high in anti-interference capacity and good in system reliability.

The invention provides a battery pack thermal management system control method based on an improved adaptive genetic algorithm, and the method comprises the steps: building a battery pack thermal model considering the thermal coupling effect between battery modules, and constructing a dynamic change model of the temperature of the battery modules, obtaining temperature models of head and tail battery modules in the battery pack according to the dynamic change model of the temperature of the battery modules; constructing a multi-objective optimization function which comprehensively considers the energy consumption of the cooling system, the temperature control precision of the battery pack and the temperature uniformity of the battery module; an improved adaptive genetic algorithm is obtained by introducing an adaptive crossover variation mechanism, an elitist retention strategy and a dynamic penalty function; based on an improved adaptive genetic algorithm, solving the multi-objective optimization function to obtain an optimal coolant flow rate; the optimal cooling liquid flow speed is converted into a control instruction of the electronic water pump rotating speed through the water pump characteristic curve, and real-time adjustment of the electronic water pump rotating speed is achieved. According to the invention, accurate control of the battery pack thermal management system can be realized.

The invention is applicable to the technical field of fuel cells, and provides a power-heat cooperative control method for a network-connected fuel cell vehicle, and the method comprises the steps: constructing a speed prediction model and a vehicle dynamics system model; establishing a power battery system model; establishing a fuel cell thermal management system model; establishing a passenger compartment thermal model; analyzing the coupling relationship between the energy management system and the fuel cell-passenger compartment coupling thermal management system; and designing a power-heat hierarchical optimization framework, and realizing efficient energy utilization and real-time control through a hierarchical collaboration mechanism. According to the method, the problem of comprehensive operation cost optimization of the integrated heat management system considering energy and heat coupling can be effectively solved, and efficient energy utilization and real-time system response are realized. The real-time responsiveness and stability of the system are improved, and it is ensured that efficient operation can be kept under various conditions.

A driving range simulation method and apparatus for a new energy vehicle, and a medium and a device. The method comprises: splitting a vehicle thermal management system model into four sub-models (110); establishing a training data set for each sub-model (120); establishing reduced-order sub-models for each sub-model (130); and integrating the model, and performing high- and low-temperature driving range simulation on a new energy vehicle (140).

The invention relates to the technical field of thermal management of energy storage power stations, and discloses an immersion phase change and jet flow cooperative reinforcement thermal management system of an energy storage power station. An immersed phase-change cooling tank body of the system contains an energy storage battery pack and a low-boiling-point fluorinated liquid cooling liquid, so that the whole battery pack is immersed in the immersed phase-change cooling tank body; the condensation recovery device is connected with a steam outlet condensation vaporization medium; the liquid storage distribution unit comprises a main liquid storage tank and a special liquid storage tank, the main liquid storage tank is connected with the condensation recovery device, and the special liquid storage tank is connected with the bottom of the tank body through an electromagnetic drain valve; the multi-layer jet strengthening module comprises a top-layer annular jet pipeline, a bottom-layer annular jet pipeline and a middle-layer annular jet pipeline, the top-layer annular jet pipeline and the bottom-layer annular jet pipeline are connected with a main liquid storage tank and reflow through a circulating pump, and the middle-layer annular jet pipeline is connected with a special liquid storage tank driven by a high-pressure pump and provided with The temperature monitoring array acquires the real-time surface temperature of the battery pack in a distributed manner The dynamic control center is connected with all the modules. According to the system, efficient and uniform heat management of the energy storage battery pack is realized through cooperation of phase change and jet flow.

The invention discloses a bimodal adaptive immersion phase change charging station thermal management system, and relates to the technical field of charging station thermal management, and the system comprises a circulation management module which carries out the circulation mapping and optimization operation of a phase change temperature result, and generates a circulation scheme; the immersion cooling module is used for intelligently regulating and controlling the nanometer phase change slurry to flow in an immersion cooling tank in a self-adaptive manner by utilizing a circulation scheme, and dynamically switching between a single-phase liquid cooling mode and a phase change boiling mode to generate heat absorption data; the heat exchange module is used for inputting the heat absorption data into a plate heat exchanger for heat exchange to generate cooling liquid temperature data, and carrying out heat dissipation and waste heat recovery operation of a dry cooler to generate backflow heat data; feature extraction and multi-dimensional nonlinear coupling analysis are carried out on the initial working condition data of the charging station, and iterative optimization is carried out in combination with a pre-training model, so that high-precision prediction of dynamic and multi-modal temperature changes is realized, and a reliable basis is provided for circulation management and cooling mode selection.

The invention discloses a new energy automobile high-voltage connector thermal management system and an optimization control method, and relates to the technical field of connecting piece thermal management. The multi-dimensional temperature sensing module is used for acquiring and fusing data by using a thermocouple, an infrared sensor and the like; the combined type heat dissipation execution module adopts a bionic liquid cooling plate, a nano coating fin and a semiconductor chilling plate to dissipate heat; the intelligent heat management control module is used for adjusting heat dissipation by means of an MPC algorithm and fuzzy PID; the fault diagnosis and safety protection module can give an alarm, cut off power and guarantee the reliability of the sensor; and the data interaction and optimization module is used for realizing data interaction and strategy remote optimization. Through multi-module cooperation and intelligent control, the working temperature of the connector is reduced, the heat dissipation efficiency and the control precision are improved, the response time is shortened, and the energy consumption and the service life are balanced; and meanwhile, the fault diagnosis capability is enhanced, the maintenance frequency is reduced, strategy optimization is realized by means of a digital technology, and safe and efficient operation of the high-voltage connector is guaranteed.

The invention relates to an electric duct driving system integrated with a heat dissipation function and an aircraft, the aircraft comprises the electric duct driving system, the electric duct driving system comprises a casing, an electric driving assembly and a heat dissipation pipeline, a fan is arranged in the casing, and the electric driving assembly is in transmission connection with the fan and used for driving fan blades of the fan to rotate; the heat dissipation pipeline is arranged on the outer surface of the casing and provided with a cooling liquid inlet and a cooling liquid outlet, one part of the heat dissipation pipeline is connected to the outer surface of the casing, one end of the heat dissipation pipeline is connected to the cooling liquid outlet, and the other end of the heat dissipation pipeline is connected to the cooling liquid inlet, so that the electric duct driving system can utilize structural parts (namely the casing and the fan) of the electric duct driving system as components for heat dissipation; therefore, a heat management system does not need to be installed, the structure of the electric duct driving system is greatly simplified, the risks of system weight increment and part failure caused by the adoption of a centralized liquid cooling system are effectively reduced, the energy consumption of the whole machine is also effectively reduced, and the cruising ability of the aircraft is improved.

The invention discloses a lithium battery thermal parameter online monitoring method and equipment. According to the method, a one-dimensional heat transfer model of the battery is established, and a finite element model is solved by inversion of battery surface temperature change actually measured in operation, so that combined monitoring of the heat conductivity coefficient, the convective heat transfer coefficient, the average temperature and the heat production power P of the lithium battery is realized. Meanwhile, only the temperature sensor needs to be arranged on the surface of the battery, the battery does not need to be disassembled or an internal sensor does not need to be implanted, the battery integrity is kept, and the method is suitable for battery full-life-cycle monitoring. According to the method, the key thermal parameters of the lithium battery can be identified online in a non-intrusive, low-cost and high-reliability manner, support is provided for thermal management, health assessment and thermal safety early warning of the battery, and the method is suitable for various battery configurations and thermal management systems.

In a thermal management system for a vehicle and a method for controlling the same, the thermal management system includes a fluid transfer device configured to execute thermal management of at least one object, to be thermally managed, through introduced ambient air, and a controller configured to determine a target air flow rate required for thermal management of the at least one object to be thermally managed, and to control the fluid transfer device based on an optimal control value determined using a control model for a predictive state value according to a current state value and the target air flow rate.

The present disclosure relates to a thermal management system for a vehicle including a refrigerant system, a coolant system and a control unit. The coolant system includes a first control loop thermally coupled to an energy storage system, a second control loop thermally coupled to a drive train system, a third control loop thermally coupled to a radiator system, a first multiple valve unit and a second multiple valve unit, and a first heat exchanger configured to transfer heat to the refrigerant system. The first control loop, the second control loop and the third control loop are configured to transfer heat to the first heat exchanger. The first heat exchanger is arranged between the first multiple valve unit and the second multiple valve unit. The control unit is configured to switch the first multiple valve unit and the second multiple valve unit in a first mode to couple the first control loop with the second control loop to collectively transfer heat to the first heat exchanger independently of the third control loop.

The invention provides a novel data center comprehensive thermal management system and method based on a composite liquid cooling technology. The novel data center comprehensive thermal management system comprises a photovoltaic power generation module, a composite liquid cooling heat dissipation module and a waste heat recovery module. The photovoltaic power generation module is used for providing electric energy for the composite liquid cooling heat dissipation module and the waste heat recovery module; the composite liquid cooling heat dissipation module comprises a cabinet, a micro electrostatic spray cooling unit and a heat exchange module; the micro electrostatic spray cooling unit is used for locally cooling the to-be-cooled element; the heat exchange module comprises a heat exchanger, a first high-voltage electrostatic generator and a guide assembly; the waste heat recovery module is connected with the heat exchanger and used for recovering heat energy in the third cooling liquid after heat exchange, converting the heat energy into electric energy and storing the electric energy into the photovoltaic power generation module. The photovoltaic power generation module, the composite liquid cooling heat dissipation module and the waste heat recovery module are coupled, an immersion type and electrostatic spraying composite cooling technology is adopted, energy efficiency management is optimized, and finally the energy utilization efficiency of the data center is greatly improved.

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 relates to the technical field of electric vehicle thermal management, discloses an electric vehicle motor and driver integrated intelligent cooling system and a control method, and aims at solving the problems that an existing motor driver thermal management system is low in cooling efficiency, high in energy consumption, complex and insufficient in space utilization rate. The method comprises the following steps: acquiring operation, thermal state and environment data; constructing a collaborative thermal model and predicting a thermal load; generating an optimal cooling strategy based on the predicted value and the target; the cooling liquid pump, the three-way valve and the cooling fan are adjusted, and cooling resources are dynamically distributed to achieve collaborative cooling. The system comprises a data acquisition module, a collaborative thermal model construction prediction module, an intelligent decision control module and an integrated cooling circulation execution module. By the adoption of the technical scheme, the cooling performance can be effectively improved, system energy consumption and complexity are reduced, space layout is optimized, the service life of parts is prolonged, and the reliability, the power performance and the endurance of the whole vehicle are improved.

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 energy storage power station battery heat flow digital twinborn simulation and cooling capacity adaptive control method, and relates to the technical field of battery heat flow data processing. The energy storage power station battery heat flow digital twinborn simulation and cooling capacity self-adaptive control method comprises the steps that S1, battery characteristic data and cooling characteristic data are collected and preprocessed, and a standardized heat state data set is constructed; s2, evaluating the overall heat flux density of the battery, and dynamically adjusting the rotating speed of a cooling pump and refrigerant flow distribution; s3, analyzing simulation precision, and correcting cooling boundary conditions in real time; s4, the cooling demand intensity is analyzed, and a graded adjusting instruction of the refrigerant flow and the pump speed is generated based on the demand analysis result; and S5, a cooling capacity distribution instruction is generated and verified, issuing execution is carried out, and preventive adjustment is carried out. The problems that most of current heat management systems lack heat flow multi-dimensional space perception and model coupling capacity, three-dimensional heat distribution cannot be mapped in real time, and fine regulation and control and early recognition of abnormal heat distribution are limited are solved.

The invention discloses an integrated thermal management system for an explosion-proof charger, and relates to the technical field of chargers. Comprising the following steps: S100, three-dimensional thermal field modeling: acquiring a heat source point cloud by using a laser radar and a temperature sensor array, and constructing a three-dimensional thermal management model in combination with finite element analysis; the liquid cooling pipeline layout is optimized through three-dimensional thermal field modeling (the error of heat flow density uniformity is smaller than or equal to 10%), the integrated design of a ZL114A aluminum alloy shell and a micro-channel liquid cooling plate (the thermal resistance is reduced by 40%) is combined, a metal sealing structure of an IP68 protection grade and ExdIICT6 anti-explosion certification are matched, safe heat dissipation of the power device with the temperature smaller than or equal to 85 DEG C is achieved in the wide-temperature environment of-20 DEG C to 60 DEG C and the explosive environment of gas dust, and the safety of the power device with the temperature smaller than or equal to 85 DEG C is achieved. And meanwhile, the liquid cooling medium is intelligently managed through the conductivity sensor and the ion exchange resin filtering device, so that equipment faults caused by pollution are avoided.