840results about "Fuel cell control" patented technology

The invention discloses a fuel cell hydrogen circulation cooling integrated system, and relates to the technical field of fuel cells, the fuel cell hydrogen circulation cooling integrated system comprises a hydrogen circulation cooling management center, the hydrogen circulation cooling management center is in communication connection with the following modules: a multi-source state sensing module, which is used for collecting multi-dimensional state data of a hydrogen circulation-cooling system in real time, extracting state characteristics, and sending the state characteristics to a control module; and forming a state feature sequence table. The multi-dimensional state data of the hydrogen circulation-cooling system is collected, the dynamic cooperative control strategy of the reinforcement learning decision module is combined, the precision and stability of temperature control are remarkably improved, the Markov decision process model is used for predicting the instantaneous heat production change caused by load sudden change, and the stability of the system is improved. And through combined adjustment of hydrogen circulation and a cooling system, temperature fluctuation is rapidly restrained, compared with traditional PID control, the temperature overshoot is reduced under the dynamic working condition, it is ensured that the galvanic pile works within the optimal temperature range all the time, the service life of the galvanic pile is prolonged, and the energy conversion efficiency is improved.

The invention discloses a multi-dimensional multi-physics field coupling analysis platform of a hydrogen fuel cell based on artificial intelligence, and relates to the technical field of hydrogen fuel cells, the platform comprises a user interaction interface module, a multi-physics field model construction module, a data acquisition and preprocessing module, an integration module and an analysis and result output module; an electrochemical reaction model, a temperature field model and a gas and liquid flow model are respectively built through a multi-physical field model building module, the coupling strength among different physical fields is quantified, and the electrochemical reaction model, the temperature field model and the gas and liquid flow model are integrated into a multi-physical field model; physical action parameters such as electrochemical reaction rate, temperature value and the like are associated with time change, spatial distribution and fault conditions, so that the platform can simulate the multi-physical field coupling effect of the hydrogen fuel cell under complex working conditions, and the performance of the fuel cell is analyzed; and a reliable basis is provided for the geometric structure, material selection and operation condition optimization of the fuel cell.

The invention relates to the technical field of fuel cells, in particular to a method and system for accurately controlling the hydrogen stoichiometric ratio of a fuel cell, and the method comprises the steps: firstly, obtaining a quantitative anode health state value through a fusion calculation model by collecting load current, anode inlet and outlet pressure, temperature, high-frequency resistance and other multi-source signals in real time; a feed-forward model based on a load current change rate predicts sudden change of hydrogen demand, and an optimal hydrogen flow instruction is jointly generated in combination with output of a PID controller which adaptively adjusts parameters according to a health state value. According to the method, the integrated diagnosis parameter, namely the anode health state value, is created, so that the internal state of the fuel cell can be accurately perceived and prospectively judged. Through deep fusion of multi-source heterogeneous information such as high-frequency resistance, anode pressure difference, current and temperature, a comprehensive index capable of comprehensively and quantitatively reflecting anode water content, gas concentration and runner smoothness is generated.

The invention relates to the technical field of fuel cell control, and discloses a control method of a hydrogen fuel system controller, which comprises the following steps: in response to a system shutdown instruction, controlling a DC / DC converter to maintain operation and request a preset scavenging current, and consuming residual reaction gas in a flow channel and a pipeline by using an electrochemical power generation reaction in an electric pile; meanwhile, hydrogen-cut air-down operation is executed, and the average single voltage of the electric pile is collected in real time; when it is monitored that the average monomer voltage is reduced to be below a preset anti-corrosion safety threshold value, the DC / DC converter is controlled to be disconnected, and mechanical purging is started. A time sequence interlocking mechanism of electrochemical energy depletion and mechanical purging is established, a high-potential retention path in the shutdown process is blocked from the physical and chemical source, and the safety of the shutdown is improved. Reverse polarity corrosion caused by a hydrogen-air interface effect is avoided, and the service life of the galvanic pile is prolonged.

A coordinated optimization method and system for a hydrogen fuel cell vehicle, a device, and a medium. The method includes: determining a target output voltage and a target output current corresponding to a stack in a hydrogen fuel cell vehicle; determining a sub-stack efficiency score corresponding to one of sub-stacks, and determining a sub-stack stability score corresponding to the sub-stack; obtaining a comprehensive score of the sub-stack efficiency score and the sub-stack stability score, and determining a primary stack and a secondary stack from the sub-stacks according to a comprehensive score result; generating, according to the target output voltage and the target output current, a primary stack output parameter corresponding to the primary stack and a secondary stack output parameter corresponding to the secondary stack; and dynamically adjusting an operating state of the primary stack, and dynamically adjusting an operating state of the secondary stack.

The invention relates to a simulation model construction method based on a PEMFC electric pile and a storage medium, and the method comprises the steps: carrying out the dimension reduction modeling of an MEA part and a BP part of a real battery, and obtaining a PEMFC dimension reduction model; an equivalent battery model is constructed based on the real battery, the equivalent battery model comprises a plurality of equivalent batteries, and the equivalent batteries are equivalent to the real battery and other most porous medium areas and are suitable for participating in the temperature generation and transmission process and the gas flowing and distribution process; and constructing a simulation model based on the PEMFC stack based on the PEMFC dimensionality reduction model and the equivalent battery model. By constructing the PEMFC dimension reduction model, the structure of part of batteries in the electric pile is simplified, the complexity of model solution is reduced, and the economic and calculation cost of the simulation process is greatly saved.

The invention belongs to the technical field of thermal management, and particularly relates to a dynamic thermal management method and system for a cascade thermal coupling control system. The method comprises the following steps: judging the running state of the current cascade thermal coupling control system; based on the operation state, obtaining operation parameters of the cascade thermal coupling control system in real time; adjusting the heat flow path according to the operation parameters to obtain an actual heat flow value; obtaining a heat flow prediction value by using the heat flow prediction model, and comparing the heat flow prediction value with an actual heat flow value to obtain a heat flow difference value; and adjusting operation parameters of the cascade thermal coupling control system according to the heat flow difference value, and controlling the dynamic heat flow of the cascade thermal coupling control system. According to the invention, the objective function is constructed based on the LSTM neural network, and the state of the phase change material can be adjusted in real time in cooperation with the phase change progress-resistance value mapping model, so that the distribution of the heat flow is realized, and the dynamic management of the cascade thermal coupling control system is completed.

The invention discloses a supercharged SOFC / GT combined cycle system and a starting method, and relates to an SOFC / GT combined cycle system and a starting method. The invention aims to solve the problem that the requirements of short starting time and high energy utilization rate cannot be met in the prior art. The system comprises a gas compressor, the gas compressor is coaxially connected with a turbine and a permanent magnet synchronous motor, an outlet of the gas compressor is connected with an inlet of a first flow divider, one outlet of the first flow divider is connected with a first battery assembly, and the other outlet of the first flow divider is connected with an inlet of a second flow divider; one outlet of the second shunt is connected with a heat exchanger assembly, the other outlet of the second shunt is connected with a combustion chamber, an outlet of the combustion chamber is connected with a turbine, an outlet of the turbine is connected with a heat exchange assembly, the heat exchange assembly is connected with the combustion chamber, the permanent magnet synchronous motor is connected with a power grid bus, and the power grid bus is connected with a second battery assembly. The first battery assembly is connected with the power grid bus. The invention belongs to the technical field of energy power equipment.

The invention specifically discloses an all-vanadium redox flow battery multi-target operation optimization control method based on a particle swarm algorithm, and relates to the technical field of all-vanadium redox flow battery energy storage system control. The method comprises the following steps: firstly, collecting and preprocessing real-time operation data of a VRB system; constructing a multi-objective optimization function including charging time, input / output energy and pump energy consumption in a charging and discharging mode; taking the charge-discharge current density and the electrolyte flow as decision variables, taking the temperature, the voltage and the SOC value as constraint conditions, and carrying out optimization solving through a particle swarm optimization algorithm to obtain optimal parameters; and finally, realizing full-process automatic closed-loop control by combining data acquisition, function calculation, parameter adjustment and simulation feedback. According to the method, through multi-target dynamic optimization, decision variable and constraint condition and closed-loop adaptive control, collaborative optimization of shortening the charging time of the all-vanadium redox flow battery, improving the system efficiency and reducing the pump energy consumption is realized, and the operation safety, stability and complex scene adaptability of the system are enhanced.

An electric power supply system includes: a first electric power supply part that utilizes a commercial electric power supply source; a second electric power supply part that utilizes a vehicle battery or other supply source; a third electric power supply part that utilizes a fuel cell; a fourth electric power supply part that utilizes photovoltaic electric power generation; a first electric power supply line for supplying electric power to an important appliance group; a second electric power supply line for supplying electric power to a general appliance group; and a distribution board. The distribution board includes: a first switch to switch over the first electric power supply part and the second electric power supply part at an input; a second switch to switch over the third electric power supply part and an output of the first switch at an input, the second switch having an output connected to the first electric power supply line; and a third switch to switch over the fourth electric power supply part and the output of the first switch at an input, the third switch having an output connected to the second electric power supply line.

The invention relates to a fuel cell system water balance control method and device, a vehicle and a storage medium. The method comprises the following steps: acquiring a high-frequency resistance data sequence in a preset time window of a fuel cell stack, and calculating a change rate and a change acceleration of a high-frequency resistor according to the high-frequency resistance data sequence; based on the change rate and the change acceleration, generating a proton exchange membrane water content state prediction signal by using a preset water content state prediction model; and according to the prediction signal, generating a gas path subsystem regulation and control instruction by using a preset feedforward-feedback control strategy, and adjusting a preset gas path subsystem based on the instruction, so that the water content of the proton exchange membrane is maintained in a target range. Therefore, by monitoring the change rate of the high-frequency resistor along with the load / time in real time, predicting the future change trend of the water content of the membrane electrode and adjusting the gas path parameters before the water state in the galvanic pile deteriorates to be irreversible, the problems of water management response lag, poor adaptability and the like in the prior art are solved, so that the accurate and stable control of the water content is realized.

The present invention relates to a method for controlling a fuel cell device (100), which comprises at least the following: detection and / or determination of an operating state, in particular a state-of-health state, of the fuel cell device (100) by means of a control unit (102); and adjustment of one or more operating parameters of the fuel cell device (100) depending on a comparison of the detected and / or determined operating state with an initial operating state, in particular an initial state-of-health state, of the fuel cell device (100) that can be provided or is provided in the control unit (102). Furthermore, the present invention relates to a control unit (102) for controlling a fuel cell device (100) and to a fuel cell device (100).

The invention provides a method for determining flow channel parameters of a fuel cell stack, which comprises the following steps of: acquiring variables such as flow field plate size dispersion difference, diffusion layer compaction non-uniformity and sealing element springback difference in a manufacturing process, and disturbance data such as load fluctuation, gas temperature and humidity, environment air pressure change and the like in an operating environment; establishing a joint uncertainty set; setting channel width, rib width, channel depth, group parameters and the like as to-be-optimized runner parameters, constructing a performance index set including pressure drop, saturation, temperature gradient, voltage fluctuation, oxygen utilization rate and the like, and setting a corresponding opportunity constraint confidence threshold; building a mapping relation among parameters, uncertainty and performance based on a water, gas, heat and electricity multi-physical coupling model, and forming a random coupling evaluation model; and solving a target parameter combination through an opportunity constraint optimization algorithm. The average performance and the robustness are considered, and the consistency, the reliability and the mass production of the fuel cell runner design can be improved.

The invention discloses a long-time emergency hydrogen-lithium hybrid power generation platform, which comprises a fuel cell stack for generating electric energy through electrochemical reaction of hydrogen and air; the air supply subsystem provides stable airflow through an air compressor and an electric control valve, and the hydrogen supply subsystem realizes hydrogen circulation through a hydrogen storage tank and a reflux pump; the thermal management system is used for controlling the temperature of the fuel cell stack through a water pump and a radiator based on liquid water circulation and dynamically adjusting water flow through a thermostat and a main radiator; the power electronic system activates the fuel cell stack and the lithium battery to work cooperatively through the FCU, monitors the state of the fuel cell stack in real time, and adjusts the cooling efficiency; the control and data monitoring system collects temperature, pressure and voltage parameters in real time through multiple sensors. According to the invention, through collaborative optimization of hydrogen energy and lithium batteries and key equipment innovation, an efficient, reliable and zero-carbon distributed energy system is constructed, and technical support is provided for research of long-time emergency supply insurance power generation vehicles.

The invention discloses a control method and equipment for a hydrogen subsystem of a fuel cell and a storage medium, and relates to the field of hydrogen fuel application. The method comprises the following steps: estimating a system state of the hydrogen subsystem according to a model of the hydrogen subsystem and actual measurement information of the hydrogen subsystem; predicting future output of the hydrogen subsystem according to the model of the hydrogen subsystem and the system state of the hydrogen subsystem; according to the designed performance indexes and future output of the hydrogen subsystem, the rotating speed of a hydrogen circulating pump and the opening degree of a proportional valve are determined, and feedforward compensation is conducted on the determined rotating speed of the hydrogen circulating pump. According to the invention, multi-input and multi-output control from hydrogen pressure feedback and hydrogen in-and-out reactor pressure difference feedback to target hydrogen pressure and target hydrogen in-and-out reactor pressure difference can be realized, so that the control precision is remarkably improved.

The invention provides a fuel cell cooling system, and relates to the technical field of fuel cells. The fuel cell cooling system comprises the following modules: a cooling cycle control module, a heat dissipation management module, a hydrogen pretreatment module, a hydrogen cycle regulation and control module, a gas-liquid treatment module and a heat recycling module, and the cooling cycle control module is used for dynamically adjusting the rotating speed of a cooling water pump by adopting a proportional integral differential algorithm on the basis of the pile temperature monitoring data, realizing closed-loop control of the temperature of cooling liquid through a PTC heater, establishing a three-loop cooperative control mechanism in combination with opening adjustment of a thermostat, and generating optimized flow parameters. A three-loop flow matching mechanism is established by dynamically adjusting the rotating speed of a cooling water pump and cooperatively controlling a PTC heater, the pile temperature control precision is remarkably improved, the radiator structure is optimized by adopting computational fluid mechanics, and the rotating speed of a fan is dynamically adjusted in combination with fuzzy control, so that the energy consumption is reduced while the heat dissipation efficiency is improved; and constructing a pressure-temperature coupling model to optimize a hydrogen heating curve.

A fuel cell system includes a fuel cell, and a battery that stores power output from the fuel cell, and has a first operation mode in which power output from the fuel cell is extracted to the outside, and a second operation mode including a discharge mode in which power output from the battery is extracted to the outside. A control method for a fuel cell system includes switching between the first operation mode and the second operation mode based on target power of the fuel cell.

The invention provides a method, a system and a device for predicting the residual service life of a proton exchange membrane fuel cell. The method comprises the following steps: step 1, collecting monitoring data of a charge-discharge process of the fuel cell; 2, carrying out feature selection on the monitoring data of the charging and discharging process; step 3, using robust local mean decomposition based on dynamic time warping improvement to decompose the monitoring data of the charging and discharging process of the fuel cell; 4, reconstructing a sub-sequence by adopting an entropy control principal component polymerization method; 5, establishing a dynamic adaptive weighted extreme learning machine of the life prediction model and the residual service life prediction model; step 6, improving a projection iterative optimization algorithm; and 7, optimizing the dynamic adaptive weighted extreme learning machine of the residual service life prediction model to obtain a final prediction result. The problem that the residual service life of the fuel cell cannot be accurately predicted is solved, and the prediction accuracy of the residual service life of the cell is improved.

The invention discloses an all-vanadium redox flow energy storage battery integration method and system based on state-of-charge analysis, and relates to the technical field of all-vanadium redox flow energy storage batteries, and the all-vanadium redox flow energy storage battery integration is realized through three steps: step 1, constructing an electrolyte chemical reconstruction system, introducing a functional additive, and obtaining parameters such as vanadium ion coordination bond energy and the like; analyzing to obtain an electrolyte chemical property coefficient; 2, predicting state-of-charge abnormity based on the coefficient, marking an abnormal battery and analyzing an abnormal trend of the abnormal battery; and step 3, after the abnormal trend is clear, calculating an abnormal diffusion risk index, dividing grades according to the index, combining historical similar, novel and gradual change abnormal trends, making grading strategies such as fusing type deep isolation, self-adaptive early warning isolation and dynamic observation isolation, and realizing accurate prevention and control of the abnormity.

The invention discloses a proton exchange membrane fuel cell hydrogen supply system and a control method, and belongs to the field of fuel cells. The method comprises the following steps: constructing an electrochemical-fluid coupling model of a proton exchange membrane fuel cell stack; constructing a galvanic pile life prediction model based on a long short-term memory (LSTM) neural network; judging a system operation mode according to the current load power; when the system enters a standby state or an emergency shutdown state, a hydrogen and air supply loop is cut off, and nitrogen is introduced into the anode and the cathode of the galvanic pile for protection; load power is used as reference input, pile output power is used as feedback, and a PID controller is used for adjusting the opening degree of an electric control proportional valve of a hydrogen supply loop and an air supply loop; and taking a total impedance predicted value output by the galvanic pile life prediction model as an optimization target. According to the method, the problems of performance degradation and service life shortening of the fuel cell under the dynamic working condition are solved, and efficient, reliable and long-life operation of the fuel cell system is realized through the comprehensive means of model prediction, real-time control and intelligent optimization.

The invention provides an extended-range solid hydrogen storage hydrogen fuel cell hydrogen thermal coupling power system, which comprises a proton exchange membrane hydrogen fuel cell power generation module used for converting hydrogen and oxygen into electric energy through electrochemical reaction; the alloy solid hydrogen storage and supply module is used for storing hydrogen in a low-pressure safe and high-density manner, releasing heat during hydrogen charging and exchanging heat with external cooling fluid; heat is absorbed during hydrogen desorption and exchanges heat with waste heat of the hydrogen fuel cell, so that hydrogen-heat coupling in the hydrogen supply process is realized; and the hydrogen thermal coupling thermal management module is used for transferring waste heat of the fuel cell to the solid hydrogen storage device so as to support the hydrogen desorption and heat absorption process of the solid hydrogen storage device. The technical problem of alloy solid hydrogen storage in hydrogen supply stability is solved, gas hydrogen can be stably and rapidly supplied to a fuel cell under the working conditions of vehicle starting, climbing or rapid power increasing and the like, power output stability of a system is maintained, and the strict requirement of the traffic power field for power performance is met.

The invention discloses a data-driven hydrogen-electricity hybrid power energy management method and device, and relates to the technical field of engineering control, and the method comprises the steps: calculating a hydrogen consumption predicted value of a fuel cell at a k + 1 moment by applying a TDL method according to an actual hydrogen consumption value of the fuel cell at the k moment and a historical SOC actual value of a lithium battery, and then calculating an SOC reference value of the lithium battery at the k + 1 moment, constructing an SOC prediction model in the prediction time domain at the moment k by applying a TDL method, and solving a power control increment sequence of the lithium battery in the control time domain at the moment k; and calculating the reference power of the lithium battery at the k moment according to the first item in the power control increment sequence and the reference power of the lithium battery at the k-1 moment, and further calculating the reference power of the fuel battery at the k moment, thereby realizing the control of the actual output power of the lithium battery and the fuel battery at the k moment. According to the invention, the optimal power distribution between the hydrogen fuel cell and the lithium battery can be realized, and the endurance time is prolonged.

The invention discloses a hydrogen fuel cell leakage multi-stage early warning system and method, which are applied to the field of fuel cells, and comprise a multi-mode sensing module, a dynamic coupling analysis module, a multi-stage early warning response module and an anti-motion interference module, the multi-modal sensing module is used for collecting multi-dimensional monitoring parameters of the hydrogen fuel cell and comprises a pressure sensor, a temperature sensor, an infrared gas imager, a camera component and an inertial measurement unit; the dynamic coupling analysis module is in communication connection with the multi-modal sensing module, and the dynamic coupling analysis module performs leakage risk analysis on the multi-dimensional monitoring parameters of the hydrogen fuel cell through a deep learning model; the multi-stage early warning response module is in communication connection with the dynamic coupling analysis module and is used for performing differential early warning according to an analysis result of the leakage risk analysis; the anti-motion interference module comprises a silica gel buffer layer and a carbon fiber support, and the carbon fiber support is used for fixing the multi-mode sensing module. According to the invention, differential processing of leakage risks is realized, and the safety response efficiency is improved.

To appropriately generate low-efficiency electricity while meeting dilution requirements. [Solution] The fuel cell system 10 includes a fuel cell stack 12 that generates electricity, a cathode supply passage 62 that supplies cathode gas to the fuel cell stack 12, a cathode discharge passage 64 that discharges cathode off gas discharged from the fuel cell stack 12, a first valve 74 provided in the cathode supply passage 62, a second valve 76 provided in the cathode discharge passage 64, a cathode bypass passage 66 that bypasses the fuel cell stack 12 and connects the cathode supply passage 62 and the cathode discharge passage 64, a third valve 78 provided in the cathode bypass passage 66, and a control unit 911 that opens the first valve 74 and the third valve 78 during the first power generation when the fuel cell stack 12 generates electricity during warm-up, and controls the opening degree of the second valve 76 to be more closed than the opening degree during the second power generation when the fuel cell stack 12 generates electricity after warm-up is complete.

The invention belongs to the technical field of battery management, and provides an SOx estimation method and a charge-discharge control method of an all-vanadium redox flow battery, and the SOx estimation method comprises the following steps: setting positive and negative reference electrodes, respectively collecting the reference potentials of the positive and negative electrodes at t moment in a cycle with the cycle number of N, and simultaneously obtaining the concentration of vanadium ions in positive and negative electrolyte; and calculating the charge states of the positive and negative electrode sides at the moment t, fitting the reference potentials and the charge states to obtain a fitting calculation formula, substituting the reference potentials of the positive and negative electrodes at the moment s into the fitting calculation formula to estimate the positive electrode side SOC and the negative electrode side SOC, and then calculating the SOH. According to the SOx estimation method, positive and negative electrode independent reference potential and vanadium ion concentration dual-core data acquisition is implemented, and a potential-concentration-cycle number-capacity four-parameter coupled SOC estimation model is established, so that single-side SOC accurate identification and concentration drift correction can be realized, and the battery health state can be reflected more comprehensively.

The invention discloses a flow battery external characteristic prediction method and equipment. The method comprises the following steps: constructing an equivalent circuit model and a thermal model of an all-vanadium flow battery; calculating equivalent circuit parameters of the equivalent circuit model according to the initial electrolyte temperature and the initial vanadium ion concentration of each valence state; calculating battery output voltage and electric power at the current moment according to the equivalent circuit parameters and the charging and discharging current; inputting the environment temperature and the electric power at the current moment and the pump power of the circulating pump into a thermal model, and solving the temperature of the galvanic pile electrolyte at the next moment; inputting the stack electrolyte temperature at the next moment into the dynamic differential equation of the vanadium ion concentration to obtain the vanadium ion concentration at the next moment; the electrolyte temperature and the vanadium ion concentration at the next moment are fed back to the equivalent circuit model, loop iteration is conducted till the battery charging and discharging process reaches a steady state, and the output voltage and the stack electrolyte temperature of the flow battery at each moment in the charging and discharging process are obtained. The computing resources are reduced, and the prediction accuracy is improved.

The invention discloses a high temperature fuel cell HT-PEMFC temperature control method and system based on fuzzy ADRC. The method comprises the following steps: constructing an HT-PEMFC system comprising an electric pile, a hydrogen supply pipeline, an air supply pipeline, a hot oil loop, a data acquisition device, a direct current electronic load and a host; according to the operation data of each device in the HT-PEMFC system, a temperature dynamic model of the HT-PEMFC system is established based on a multi-physics field Modelica language platform Dymola; a fuzzy bandwidth adjustment strategy (Fuzzy-ADRC) is designed; the fuzzy bandwidth adjustment strategy Fuzzy-ADRC is used for stable control of the stack temperature under load current disturbance and circulating pump flow disturbance. According to the method, the problem of over-compensation energy consumption of a traditional ADRC under strong disturbance and the problem of high regulation energy consumption of PID are solved, and the method is one of optimal controllers for thermal management of the HT-PEMFC system.

The invention discloses an all-vanadium redox flow battery SOC estimation method based on hybrid modeling. The method comprises the following steps: step 1, obtaining sample data of an all-vanadium redox flow battery; step 2, constructing a physical basic modeling framework of the SOC containing the multi-physical mechanism; 3, constructing an SOC estimation model with a self-adaptive continuous learning mechanism, and constructing physical information constraints in a loss function of the SOC estimation model based on a physical basic modeling framework; and step 4, training and adaptively updating the SOC estimation model, and estimating the SOC through the trained SOC estimation model. According to the method, multiple physical mechanisms and real-time working condition information are integrated in the SOC estimation process, so that the prediction accuracy and long-term stability of the state of charge of the battery are remarkably improved.

The invention discloses a proton exchange membrane fuel cell waste heat recovery injection type refrigerating system and a control method. The system comprises a fuel cell thermal management subsystem and an injection type refrigeration subsystem which are coupled through a heat exchanger. Wherein the injection type refrigeration subsystem is provided with a flow path selection unit and an auxiliary heating unit, and a switchable double-heat-source driving structure is formed. According to the control method, firstly, the effective waste heat output quantity of the fuel cell is estimated on line, then the effective waste heat output quantity is compared with the refrigeration requirement of the system in real time, and the system is driven to be intelligently switched among the three working modes according to the comparison result. When the waste heat is sufficient, only the waste heat is used for driving; when the waste heat is insufficient, auxiliary heating is synchronously started, and the working medium flow is accurately distributed to supplement heat; when the waste heat is interrupted, the auxiliary heating unit supplies energy independently, and stable energy supply is ensured through an advanced algorithm. The system solves the problems that low-temperature waste heat of the fuel cell is difficult to recycle, and traditional cooling is high in energy consumption and causes thermal pollution.

The invention discloses a predictive diagnosis method and system for hydrogen and oxygen intercrossing of a fuel cell, and relates to the technical field of fuel cells, and the method comprises the steps of parameter initialization, data real-time monitoring, fault prediction diagnosis, early warning grade analysis decision and model parameter feedback learning, performing fusion processing on multi-source data obtained through real-time monitoring, updating a probability prediction result of hydrogen-oxygen cross fault occurrence based on fused data features, and regularly re-evaluating the remaining service life of the galvanic pile so as to dynamically control the fault risk and the service life state; and the early warning grade analysis decision determines a corresponding early warning grade according to the probability prediction result obtained in the prediction diagnosis stage and the residual service life result of the electric pile, and generates maintenance suggestions and processing measures according to the early warning grade. The problems that in the prior art, hydrogen-oxygen inter-string fault early warning time is short, multi-source data fusion is difficult, fault positioning precision is low, predictive maintenance capacity is lacked, and false alarm and missing alarm are likely to happen under the dynamic working condition are solved.