11536results about "Engine components" patented technology

An online testing and diagnosis method for vibration characteristics of blades of wind turbine is disclosed. Steps of testing and diagnosing blade vibration comprises: S1: installing vibration sensors at key positions of a blade, designing an adaptive data acquisition strategy, and automatically adjusting a sampling rate according to a vibration amplitude and environmental changes monitored in a real time; S2: extracting key features reflecting health status of the blade from massive data, and evaluating an impact of wind speed, temperature, and environmental factors on vibration characteristics; S3: designing a customized deep learning model for damages of the blade of a wind turbine, extracting a time sequence data and a vibration signal, identifying a damage among different types of damages and evaluating a damage degree; and S4: automatically adjusting a warning threshold based on a real-time data stream and a historical trend, and drafting a preventive maintenance plan.

The shutdown of a compressor (10) installed in a refrigerant circuit (2) in air conditioning or refrigeration system is controlled so as to prevent unpowered reverse rotation of the compressor. Prior to terminating electric power to the compressor drive motor (24), the pressure within the system is relieved and substantially equalized across the compressor, thereby eliminating the possibility of unpowered reverse rotation of the compressor at shutdown. Pressure relief and equalization may be achieved by reducing the operating speed of the compressor to a low forward speed for a period of time prior to deenergizing the compressor drive motor. Pressure equalization may also be achieved by driving the compressor in reverse rotation prior to deenergizing the drive motor.

The invention relates to the technical field of fault detection, and discloses a diesel generating set fault detection method and system based on deep learning, and the method comprises the steps: obtaining first vibration signal data, and carrying out the time-frequency decomposition, and obtaining a dynamic change feature; de-noising processing is carried out on the dynamic change features to obtain a time-frequency feature sequence; extracting a peak energy distribution data set, and calculating each frequency band entropy value to obtain a frequency band entropy value sequence; classifying the frequency band entropy sequence, determining a random fluctuation reference mode, and separating to obtain an abnormal frequency component; calculating a spectral line spacing and amplitude ratio, obtaining a spectral line feature data set, classifying the spectral line feature data set, and determining a fault classification result; obtaining current second vibration signal data, performing similarity calculation on the current second vibration signal data and a pre-established normal mode library, and outputting a fault feature vector; and verifying the fault feature vector to obtain a final fault detection result. According to the method, closed-loop diagnosis from signal acquisition to fault classification can be realized, and the fault detection precision of the diesel generating set is improved.

The invention discloses a semi-submersible wave energy-wind energy integrated power generation platform and a damping regulation and control method of a damping regulation and control system of the semi-submersible wave energy-wind energy integrated power generation platform. The platform comprises a semi-submersible wind driven generator platform, a wind driven generator set, a wave energy power generation device, an energy storage system, a sea area detection system and the damping regulation and control system. The wave energy power generation devices are divided into two groups on the inner side and the outer side of the platform, each wave energy power generation device comprises a platform inner side wave energy power generation device and a platform outer side wave energy power generation device, and each wave energy power generation device comprises a swing arm floater, a universal hinge, a connecting arm and a damping adjusting module. The semi-submersible wind power generation device and the wave power generation device are combined, and offshore renewable resources are comprehensively utilized; the six-buoy design is adopted, buoyancy is dispersed, stability and safety are improved, and meanwhile space is provided for a wave power generation device; the floaters are symmetrically arranged in a hexagonal shape and carry a damping regulation and control system, and the whole structure is more easily stabilized by adjusting the damping of the floaters in all directions.

An insertion tool is provided. The tool includes a flexible section comprising a plurality of rigidizable links, an end effector actuator, and an end effector coupled to the flexible section. A flexible is shaft inserted through the flexible section, wherein torque is transferred from the end effector actuator to the distal end via the flexible shaft to cause a rotation of the end effector. A tool may include a tool-less disconnect interface between the end effector and the flexible shaft.

The invention discloses a wind generating set fault prediction method and system based on edge computing, and the method comprises the steps: collecting the vibration, temperature, rotating speed and other parameters of a wind generating set in real time through a data collection module deployed by edge computing equipment, carrying out the preliminary screening and packaging through a built-in data processing unit, and synchronizing to a constructed digital twinborn model; establishing an edge calculation fault analysis model based on model data, identifying potential fault features, comparing a physical unit operation state with a digital twin model simulation state parameter by parameter, performing preliminary diagnosis in combination with the fault features, evaluating a unit health state according to a fault mechanism model, and outputting a fault prediction result and part information. The system is correspondingly provided with six units including a data acquisition interaction unit, a data processing unit and a model construction updating unit, and all the units work cooperatively, so that accurate prediction and health management of faults of the wind generating set are realized.

Disclosed is an explainable method for monitoring a state of a generator of a wind turbine generator system on the basis of a spatio-temporal graph. The method includes: S1: acquiring data collected by a supervisory control and data acquisition (SCADA) system; S2: carrying out data understanding on the SCADA data, selecting features associated with the generator, and carrying out data preparation on the selected feature data, and obtaining valid data; S3: embedding the SCADA data, and forming a directed spatio-temporal graph data sequence; and S4: carrying out modeling of a normal behavior model of the generator on the constructed directed spatio-temporal graph data sequence, computing a full-graph-level residual and a node-level residual, computing a residual through an exponentially weighted moving average (EWMA) control chart method, carrying out full-graph-level state monitoring on the generator, forming a fault information transmission chain relation, and enhancing explainability and robustness of a monitoring result.

The present invention belongs to the field of tightening control methods and automatic tightening technology, and discloses a tightening control method and automatic tightening device for an aero-engine rotor based on bolt preload feedback. The automatic tightening device is based on a main body structure and is provided with a rotary table structure, a spherical guide structure and a skid platform structure to achieve the degree of freedom of movement of the automatic tightening device for an aero-engine rotor within an inner cavity space of the rotor, enabling the tightening structure to be fed and withdrawn; in addition, a preload detection structure is provided, which relies on an ultrasonic preload measurement system to measure a real-time preload of a bolt during a tightening process and transmit the value of the preload to a tightening gun to achieve a tightening method for preload feedback control.

Systems and methods described herein may include pumps and pump components including carbon-manganese-chromium (C—Mn—Cr)-based steel alloys for enhanced resistance to wear or corrosion. A pump component may include one or more components formed of a C—Mn—Cr-based ferrous alloy, which may result in enhanced wear or corrosion resistance. The C—Mn—Cr-based ferrous alloy may include a carbon content ranging from about 0.1 weight percent (wt. %) to about 2 wt. %, a manganese content ranging from about 10 wt. % to about 30 wt. %, and a chromium content ranging from about 0.1 wt. % to about 20 wt. %.

The invention belongs to the technical field of hydroelectric generating set fault diagnosis, and particularly discloses a hydroelectric generating set cavitation fault diagnosis method based on multi-channel acoustic emission signal fusion. Through the technical means of acquiring the acoustic emission signals at multiple positions, a more comprehensive cavitation phenomenon data basis is provided; the representation of time-frequency characteristics is optimized through the Mel time-frequency diagram, and the problem that the dynamic characteristics of acoustic emission signals cannot be effectively captured through a traditional method is solved; multi-channel feature extraction is performed on the Mel time-frequency graph through a preset deep convolutional neural network model, so that automatic learning of deep cavitation working conditions is realized; and multi-channel fusion and classification identification are carried out on a feature extraction result through the model, so that effective integration and fault classification of features are realized. Compared with the prior art, a more accurate and comprehensive cavitation fault diagnosis effect is realized, and the diagnosis precision is improved.

The invention discloses a wind turbine generator state monitoring method driven by network fusion of a knowledge graph and a space-time diagram. The method comprises the following steps: S1, collecting time sequence SCADA data and wind power text data of a wind turbine generator; s2, constructing the wind power text data into a wind power operation and maintenance knowledge graph; s3, generating time sequence diagram data by querying a wind power operation and maintenance knowledge graph and combining the preprocessed SCADA data; s4, carrying out normal behavior modeling on the time sequence diagram data by utilizing the time-space diagram neural network model, predicting each node in the diagram data in the healthy operation time period of the unit in the normal behavior modeling process, and calculating the maximum absolute value of the difference between the predicted value and the actual value of each node as the maximum absolute value of the difference between the predicted value and the actual value; the maximum absolute error is used as a health threshold value of each node to perform state monitoring; in the state monitoring stage, the matching condition of the mapping information of each node in the graph structure in the monitoring result of the real-time data and the fault transmission chain is compared, the health state of the unit is judged, and the fault early warning time is determined. According to the invention, the accuracy and robustness of the monitoring result are enhanced.

A gate linkage control method and device and a parallel water supply and power generation system are provided. The method comprises the following steps of: acquiring current gate opening degree information of the parallel water supply and power generation system and a current water level of a third trunk canal, the current gate opening degree information comprising current first gate opening degree information and current second gate opening degree information; determining a target gate linkage control strategy of the parallel water supply and power generation system according to the current gate opening degree information of the parallel water supply and power generation system and the current water level of the third trunk canal; and controlling a gate opening degree of a target gate according to the target gate linkage control strategy of the parallel water supply and power generation system.

The invention discloses a pumped storage unit fault diagnosis method based on multi-modal data fusion, and the method comprises the steps: collecting a voiceprint signal, an infrared thermal imaging image and historical operation data of a pumped storage unit, and carrying out the noise reduction of a voiceprint set through employing an improved unscented Kalman filtering algorithm, a COMRes + model is used to train the voiceprint signal after noise reduction and historical operation data, a future voiceprint signal is predicted, an improved Deeplabv3 + model is used to train an image set, and features of an infrared thermal imaging image are extracted; the voiceprint feature, the historical operation data text feature and the image feature are input into an improved CentraNet model for multi-modal data fusion, and a fault category is output through a classification recognition module, so that diagnosis of the pumped storage unit fault is completed; according to the method, through fusion of the multi-modal data and optimization of the deep learning model, the accuracy and efficiency of fault diagnosis can be effectively improved, and a powerful guarantee is provided for safe operation of the pumped storage unit.

The invention particularly discloses a visual monitoring system and an analysis method for the abrasion state of an impulse turbine set, and relates to the technical field of hydroelectric power generation equipment monitoring. The device comprises a visual monitoring module, a control module and an abrasion analysis early warning module, the visual monitoring module collects images through an industrial camera, an LED light source, a packaging protection structure and a water and mist removing device. The control module formulates an imaging mechanism according to working conditions such as strong water mist interference, idling no water, static no water and the like, and is linked with a unit PLC control system to realize imaging triggering, state adjustment and data interaction; and the abrasion analysis and early warning module identifies an abrasion area through a U-Net + + algorithm, calculates abrasion parameters based on a multi-view vision technology, grades the abrasion parameters, predicts a trend by adopting an ARIMA model, and recommends a maintenance scheme through rule reasoning in combination with threshold early warning. Automatic and intelligent monitoring and analysis of the abrasion state of the impact type unit are achieved, and guarantee is provided for safe and efficient operation of the unit.

The invention discloses a semi-submersible fan-oscillating water column wave energy device integrated device with heaving plates. The semi-submersible fan-oscillating water column wave energy device integrated device comprises floating fan equipment, a central platform, buoys, hydraulic heaving plate connecting rods, an upper-layer permeable heaving plate, a lower-layer non-permeable heaving plate, a control system, a wind speed monitoring sensor and a laser wave surface displacement sensor. The floating fan equipment is arranged at the upper part of the central platform; the buoy is formed by connecting a permeable protective cover, a hydraulic connecting rod, an OWC device, an air pressure enhancing device, an internal supporting rod, a telescopic supporting plate and a pneumatic turbine. The upper-layer permeable heaving plate and the lower-layer non-permeable heaving plate are connected to the bottom of the buoy through the hydraulic heaving plate connecting rod; the control system is positioned in the lower horizontal plate of the central platform; the wind speed monitoring sensor and the laser wave surface displacement sensor are arranged on a stand column of fan equipment. The fan operation efficiency and the system reliability are improved, the whole life cycle cost is effectively reduced, and good durability and maintainability are achieved.

The invention discloses an unmanned aerial vehicle load engine state identification method based on deep learning, and the method comprises the following steps: S1, collecting the multi-mode operation data of an unmanned aerial vehicle load engine, and completing the standardization preprocessing; s2, inputting the spatial data into a spatial pyramid pooling network, and extracting a multi-scale spatial feature matrix; s3, inputting the spatial features into a masking auto-encoder, performing feature masking, encoding and reconstruction, and generating reconstruction features and error information; s4, fusing the original features, the reconstructed features and the non-spatial data, inputting a discrimination network, and outputting a health label and a risk score; and S5, according to an identification result, a flight control system or a maintenance platform is linked to realize alarm and scheduling. According to the method, intelligent identification and abnormal risk early warning of the state of the load engine of the unmanned aerial vehicle are realized by fusing multi-scale spatial feature extraction and a covering self-encoding reconstruction mechanism.

The invention discloses an automobile air flow sensor fault diagnosis method and system, and relates to the technical field of intelligent fault diagnos.The method comprises the steps that driving behavior parameters are collected in real time, and driving style feature vectors are obtained through classification of a driving behavior recognition model; theoretical air inflow is calculated based on an engine three-dimensional fluid dynamic model, and dynamic correction is carried out in combination with driving style characteristics to generate a corrected theoretical flow signal; and finally, the actually measured signal of the air flow sensor and the corrected theoretical signal are compared and analyzed, and accurate diagnosis of the fault of the air flow sensor is realized. The technical problems that an existing air flow sensor fault diagnosis method cannot depend on a static threshold value, is difficult to adapt to driving styles and working condition changes, is insufficient in accuracy and is prone to false report and missing report are solved, self-adaptive correction of the theoretical air inflow is achieved by combining driving behavior recognition and dynamic correction, and therefore the diagnosis accuracy is improved, and the fault diagnosis efficiency is improved. And false alarm and missing alarm are reduced.

The invention discloses a dynamic air supply type adiabatic compressed air energy storage system for rapid frequency modulation of a power grid and a control method, and the system comprises a multi-stage compression unit, an interstage cooling unit, an air storage device, a heat storage device, a multi-stage expansion unit, an air supply control pipeline system, an energy release heating unit and a central control system. A plurality of air supply points are arranged at different stages of the expansion machine of the multi-stage expansion unit, and the output power of the expansion machine is quickly controlled by combining the dynamic adjustment of the central control system on the air supply position and flow; the system integrates multi-stage compression, inter-stage cooling, heat energy recovery, intelligent energy release heating and predictive frequency response, and has the advantages of high response speed, high output stability, excellent frequency modulation precision and the like. The system is suitable for a modern power grid with high-proportion new energy access, and is helpful for improving the frequency stability of the power grid and the scheduling flexibility of the energy storage system.

The invention discloses a hydraulic unit state diagnosis method and system, computer equipment and a storage medium. Comprising the following steps: synchronously collecting vibration, sound and electric signals at parts such as a bearing, converting a vibration spectrum envelope into a vibration signal dynamic characteristic rectangle, and setting a self-adaptive threshold to trigger high-speed collection; aligning acoustic and electric signals by taking the vibration signal dynamic characteristic rectangle as a reference clock and deploying the acoustic and electric signals in the reference clock to form a multi-source time sequence correlation characteristic group; respectively determining a fault part, a fault type, a damage degree and a confidence coefficient by using HGReaoner, RelTrans and ResourceRank, and integrating and outputting a triple fusion confidence coefficient; and a comprehensive diagnosis system is constructed, comprises a decision-making and maintenance strategy generation layer, and outputs a maintenance instruction. Comprehensive fusion and accurate time sequence alignment of multi-source heterogeneous signals are achieved, faults can be accurately described, intelligent decision making is achieved, and diagnosis accuracy and adaptability are greatly improved.

An apparatus and methods for a rotor pack are provided for a positive displacement supercharger that produces greater engine power output without loss of best seal between the rotors or between the rotors and an interior surface of an enclosing case. The rotors include relief zones and cupped portions at an intake airflow side of each lobe comprising the rotors. The relief zones allow additional airflow to enter the rotor pack while the cupped portions scoop additional airflow into the rotor pack during operation of the supercharger. Tapered radius portions of an enclosing case allow additional airflow to be dragged into the rotor pack. Pressure relief portions on a rotor bearing plate and angled portions on each lobe extend compression events during operation of the rotor pack. The angled portions reduce a margin of the lobes to sharpened edges without affecting the diameter of the margin.

A magnetic bearing system (100) includes a rotary shaft (101) and a magnetic bearing (105, 107, 130) having an electromagnet coil (106, 108, 108B, 135, 136). One end of the electromagnet coil (106, 108, 108B, 135, 136) is connected to the neutral point of a first multi-phase winding (113, 115, 123, 125, 173, 181) having at least three or more phases.

The invention relates to the technical field of magnetic suspension bearings, and provides a magnetic leakage prevention bearing structure which comprises a flux sleeve, a shell, a magnetic part, an inner-layer magnet yoke and an outer-layer magnet yoke. The shell is sleeved outside the flux sleeve, and an inner ring of the shell is provided with a mounting space; the magnetic part is arranged in the mounting space; the inner-layer magnet yoke is arranged in the mounting space and connected with the shell, the inner-layer magnet yoke is concaved inwards to form a first containing groove, and the magnetic part is contained in the first containing groove; the outer-layer magnet yoke is arranged in the installation space and connected with the shell, the outer-layer magnet yoke is concaved inwards to form a second containing groove, and the inner-layer magnet yoke is contained in the second containing groove. A closed magnetic circuit is formed through a double-layer magnet yoke nested structure, the axial magnetic shielding layer design is matched, magnetic flux leakage is effectively restrained, the magnetic field energy utilization rate is increased, electromagnetic interference to external equipment is reduced, and meanwhile the bearing performance and operation stability of the bearing are remarkably improved by optimizing magnet yoke thickness distribution and the permanent magnet arrangement mode.

The invention discloses a control method and device of a wind driven generator, a terminal and a storage medium, particularly relates to the technical field of operation control of the wind driven generator, and is used for solving the problem that a supporting structure bears violent asymmetric loads due to dynamic response differences of wind and wave load directions in a marine environment in an existing control method. Wind direction and wave direction data are synchronously obtained in real time, the wind direction change rate is calculated, supporting structure vibration signals are analyzed to recognize wave excitation dominant frequency components, and when it is detected that wave excitation energy suddenly changes and the wind direction change rate exceeds the limit, the wind wave direction difference is analyzed; meanwhile, a wave spectrum energy concentration frequency band is determined by analyzing the tower top movement track, the load asymmetry risk level is evaluated by combining the direction difference and the wave energy concentration frequency band, finally, the yaw speed and the variable pitch speed are adjusted in a self-adaptive mode according to the risk level, and accurate recognition and early warning of the wind wave load direction mismatching working condition are achieved. And the operation reliability of the wind driven generator in extreme weather is improved.

The invention discloses a device and method for measuring the abrasion amount of a spray needle of an impulse turbine, and the device comprises a fixed platform which is used for placing the spray needle to be measured, and the spray needle to be measured is provided with a plurality of points to be measured; the inner and outer slide rails are arranged at the top of the fixed platform, are positioned on the outer side of the to-be-measured spray needle and axially coincide with the to-be-measured spray needle; the rotating platform is in sliding connection with the inner and outer sliding rails and can rotate around the to-be-measured spray needle; the telescopic platform is arranged at the top of the rotating platform, and the end, away from the rotating platform, of the telescopic platform is connected with an inclined platform; the distance measuring probe system is detachably connected to the inclined platform, and the measuring end of the distance measuring probe system faces the to-be-measured spray needle; the measuring device is combined with a multi-degree-of-freedom adjusting mechanism to realize accurate positioning and vertical alignment of the probe, then the probe system is used for reading the displacement and deducting the thickness of the sleeve to obtain the real abrasion depth, non-destructive high-precision abrasion amount detection of any point of a complex curved surface can be realized, and the measuring device is suitable for a hydropower station overhaul site.

The invention discloses a wind power generation device and a wind power generation control method.The wind power generation device comprises a supporting column, a sensor and a wind power generation mechanism, the wind power generation mechanism comprises a generator and a fan blade set, the wind power generation device further comprises a speed reduction mechanism, the speed reduction mechanism is electrically connected with a control system, and the sensor is electrically connected with the control system; when the sensor detects that the external wind speed reaches the first preset value, the control system controls the speed reduction mechanism to blow air to the fan blade set, speed reduction is conducted through blowing, a braking speed reduction structure does not need to be additionally installed between the blades and the generator, and therefore mechanical abrasion and maintenance cost are reduced; a complicated mechanical braking speed reduction structure is not arranged, so that the design of the wind driven generator is simpler, the weight is lighter, and the installation and the maintenance are more convenient; and mechanical parts are reduced, so that the reliability of the whole system is improved, potential fault points are reduced, and the service life of the wind driven generator is prolonged.

The invention relates to the technical field of ocean new energy technology utilization, and discloses an oscillating water column type wave energy power generation system with an energy gathering structure at the bottom, which comprises a jacket, an air chamber, a turbine power generation system, a radar altimeter, an infrared camera, an airflow velocity sensor, a control host and a bottom energy gathering assembly, the bottom energy-gathering assembly is installed at the lower end of the air chamber and provided with a transmission mechanism, reflection and diversion of seawater at the bottom of the air chamber are achieved through the arranged horizontal bottom plate and the two symmetrically-arranged energy-gathering plates, energy gathering beyond the width of the air chamber is completed, and opening and closing of the energy-gathering plates are synchronously controlled through the transmission mechanism. And the amount of seawater flowing into the air chamber from the water inlet is changed. According to the wave energy power generation system, the oscillation intensity of the water column in the air chamber can be adjusted according to changes of sea surface waves, the speed of the generated air flow can be matched with the optimal working frequency of the turbine power generation system, the power generation efficiency of the device is guaranteed, and the oscillation water column type wave energy power generation device can be protected and prevented from being impacted by sea waves.

The invention relates to the technical field of motor shaft machining, in particular to a cold forging step-by-step extruding and stretching method for motor shaft preparation, which comprises the following steps: acquiring forward extrusion approximate average force, and calculating initial deformation resistance of a workpiece based on the forward extrusion approximate average force, obtaining a target parameter increment of a reverse extrusion process and an average inner diameter of a reverse extrusion target hollow part to determine a target volume deformation amount, and determining a process difficulty evaluation index based on the initial deformation resistance and the target volume deformation amount; the adjusting strength of the set value of the punching force is obtained, and the correlation between the process difficulty evaluation index and the follow-up process adjusting strength is determined based on the multiple adjusting strength of the current batch of workpieces and the process difficulty evaluation index; and in response to the correlation adjustment, determining a difficulty threshold of a difficulty state in which the workpiece is machined based on the process difficulty evaluation index. According to the invention, the stamping force and speed of the subsequent process are adaptively adjusted through the initial resistance and annealing softening effect of the material.

A double-liquid vibration-damping liquid-shaking tank for a wind turbine tower drum oriented to source network load storage coordination belongs to the technical field of wind turbine vibration-damping equipment, is a liquid-shaking damping structure externally arranged on a wind turbine main body, and comprises a wind direction plate and a liquid-shaking tank structure consisting of an annular liquid-shaking tank, a liquid partition plate, upper-layer liquid and lower-layer liquid, and the turntable fixing structure consists of a rotor and a rotor flange plate. The annular liquid shaking cabin is provided with a central through hole, is sleeved on the tower drum, is internally provided with a liquid partition plate, and is filled with two-phase liquid which has density difference and is immiscible with each other; the wind direction plate is arranged on the outer side of the annular liquid shaking cabin; the liquid shaking damping structure is fixed to the wind turbine tower fixing section through the rotor flange plate. Single shaking liquid is replaced by stably layered immiscible double liquid, the vibration reduction effect of the shaking liquid damping structure is improved, and the shaking liquid damping structure is accurately adaptive to all working conditions; and through linkage of the wind direction plate and the liquid partition plate, the vibration reduction effect of the shaking liquid damping structure is improved, the resonance effect is restrained, and the stability of the vibration reduction effect of the shaking liquid damping structure is enhanced.

An arrangement for fixing a housing of a wind turbine gearbox in a nacelle, including a housing-fixing means, a nacelle-fixing means, and at least two spring devices. The spring devices support the housing-fixing means against the nacelle-fixing means in opposite directions along a support axis. The spring devices are arranged on different sides of a plane extending parallel to an axis of rotation of an input shaft of the wind turbine gearbox.

The invention relates to a methanol internal combustion engine high-temperature fuel cell hybrid power system based on double-path waste heat gradient utilization. The invention relates to the technical field of internal combustion engine waste heat recovery and new energy power system integration. The system comprises a fuel tank, a first pump body, a heat exchanger, a methanol internal combustion engine, a turbine, a gas compressor, an air compressor, a reformer, a high-temperature proton exchange membrane fuel cell, an evaporator and a second pump body. A methanol-water vapor mixture generated by heat exchange of a mixed solution of methanol and water and a high-temperature fuel cell stack coolant in a heat exchanger is introduced into a reforming reactor and is subjected to catalytic reforming to produce hydrogen by utilizing waste heat of high-temperature tail gas of an engine, and the produced hydrogen is directly supplied to an anode of a high-temperature fuel cell. Through a double-path methanol distribution strategy, collaborative design of internal combustion engine waste heat recovery, electric pile heat management and reforming hydrogen production is realized, and the comprehensive energy efficiency of the system is improved.