3108 results about "Hydrogen fuel cell" 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 discloses a hydrogen fuel cell production management method and system based on a digital twinning technology, and relates to the technical field of digital twinning, and the method comprises the steps: collecting the production data of a hydrogen fuel cell in real time, carrying out the data preprocessing, and generating standardized data; based on the standardized data, constructing a digital twinborn model by utilizing finite element analysis and a computational fluid dynamics strategy, and training the digital twinborn model through historical data; building a reinforcement learning environment based on the trained digital twinborn model, defining a reinforcement learning agent, and generating an optimal control strategy; production parameters are adjusted according to the optimal control strategy, production data are fed back through the digital twinborn model, the optimization effect is verified regularly, and the digital twinborn model and the optimal control strategy are iteratively updated. According to the method, the optimal strategy is autonomously learned in the simulation environment through the reinforcement learning agent, the generated control strategy can dynamically adjust production parameters, efficiency is improved, energy consumption is reduced, quality is improved, and intelligent decision making and control are achieved.

A thermal management method for metal solid-state hydrogen storage, a hydrogen fuel cell system thereof and a rail transit vehicle. The hydrogen fuel cell system comprises a hydrogen fuel cell module and solid-state hydrogen storage modules, which are communicated via a hydrogen pipe; a first branch is provided on the periphery of the hydrogen fuel cell module; a diverter valve is provided at a liquid outlet end of the first branch, one branch of the diverter valve being communicated with a heat dissipation system, and another branch of the diverter valve being communicated with a second branch. Using heat generated during power generation of a hydrogen fuel cell to successively start the solid-state hydrogen storage modules helps to increase the system starting speed, thus improving the efficiency of hydrogen fuel cell systems.

The invention relates to a hydrogen fuel cell system reliability evaluation method based on a Weibull distribution model, and the method comprises the steps: collecting the state detection quantity of a hydrogen fuel cell system in real time, and carrying out the calculation to obtain a wear index and a functional age; historical failure data of the hydrogen fuel cell system are obtained, and shape parameters and scale parameters are obtained through calculation; based on the wear index, the functional age, the shape parameter and the scale parameter, a Weibull distribution reliability model is constructed and used for calculating the cumulative failure probability and the aging failure rate; and determining the failure risk and the residual life of each component in the hydrogen fuel cell system based on the accumulated failure probability and the aging failure rate in combination with the improved risk priority. Compared with the prior art, the method has the advantages that the problems of single parameter evaluation, static analysis and inadequate individuation in the prior art are solved, dynamic, intelligent and systematic reliability evaluation is realized, and scientific support can be provided for full-life-cycle management and maintenance optimization of the hydrogen fuel cell system.

The invention discloses an unmanned aerial vehicle hybrid power system configuration optimization method based on a self-adaptive genetic algorithm, and the method comprises the following steps: S1, determining an unmanned aerial vehicle flight platform and collecting task parameters of an unmanned aerial vehicle, the task parameters of the unmanned aerial vehicle comprising flight duration, load capacity W and task environment parameters, recording power consumption of the unmanned aerial vehicle in different flight stages; s2, establishing an unmanned aerial vehicle energy consumption mathematical model, and calculating the total energy consumption of the unmanned aerial vehicle in each flight stage; s3, constructing an optimization objective function of the hybrid power supply of the unmanned aerial vehicle; and S4, performing optimization according to the target function, and outputting an optimal hydrogen fuel cell proportion to enable the target function to be minimum. By optimizing the power distribution proportion of the hydrogen fuel cell and the lithium battery and combining the efficient global optimization capability of the adaptive genetic algorithm, the power supply configuration is dynamically adjusted, and the cruising ability and the energy utilization efficiency of the unmanned aerial vehicle are remarkably improved.

The invention relates to the technical field of hydrogen fuel cells, in particular to an air-cooled reactor automatic loading line for hydrogen fuel cell stack production, which comprises a rack, a storage rack, a material moving mechanism and two conveyor belts, the material moving mechanism comprises a support frame, a driving assembly and a pressing assembly, and electrode plates and bipolar plates are alternately conveyed to the material moving mechanism through the two conveyor belts. The electrode plate or the bipolar plate is supported through the sliding rollers at the bottoms of the overturning frames, and then the two overturning frames are synchronously driven to move through the driving assembly, so that the electrode plate or the bipolar plate naturally falls between the two overturning frames. The auxiliary electrode plate or the bipolar plate can stably fall on the storage rack in cooperation with downward pressing of the downward pressing assembly; the process does not need manual intervention, and the accuracy and regularity of stacking are ensured. The automatic stacking reduces the dependence on manual operation, reduces the labor cost, and further reduces the rework cost caused by unqualified materials due to the reduction of the surface damage of the electrode plates and the bipolar plates.

The invention relates to the field of hydrogen fuel cells, in particular to a hydrogen fuel cell stack stacking device with an alignment function. The single battery stacking device is applied to stacking of a plurality of single batteries and comprises a conveying mechanism and a material carrying table capable of moving in the vertical direction, a fixing frame is arranged over the material carrying table, a pair of supporting pieces for supporting the single batteries are arranged on the fixing frame, the supporting pieces can horizontally move on the fixing frame, and an alignment discharging mechanism is further arranged on the fixing frame. The alignment discharging mechanism comprises a downward pressing assembly and limiting plates evenly distributed on the periphery of the fixing frame, and the downward pressing assembly is provided with first linkage pieces matched with the limiting plates and second linkage pieces matched with the supporting pieces. Through linkage cooperation of the first linkage piece and the limiting plate, a centering alignment channel with stacked single batteries as the reference is formed, it is ensured that the single batteries to be stacked are accurately positioned, meanwhile, the supporting piece is driven by the second linkage piece to be stably disengaged, and seamless transition from supporting to limiting is achieved.

The invention relates to the technical field of hydrogen fuel cells, in particular to a high-power hydrogen fuel cell with an efficient heat dissipation structure. Comprising a limiting module, and the limiting module is provided with a plurality of groups of limiting bins capable of installing the hydrogen fuel cell, and a leading-in channel and a leading-out channel capable of leading a cooling medium into the limiting bins and leading the cooling medium out of the limiting bins respectively; the cooling module is fixedly arranged at the top of the limiting module, the output end of the cooling module communicates with the leading-in channel, and the cooling module is used for inputting a cooling medium into the leading-in channel; the heat dissipation module is installed in the limiting module in an embedded mode, and the heat dissipation module is composed of a plurality of sets of heat dissipation frames which are spliced with one another; each heat dissipation frame is provided with a lead-in port and a lead-out port which are used for leading in and leading out a cooling medium; heat energy can be effectively gathered, and dynamic heat dissipation can be conducted according to the use state.

The invention discloses a tunnel hydrogen energy vehicle leakage and explosion risk prediction and automatic ventilation emergency disposal method, and belongs to the technical field of hydrogen leakage accident risk prediction and emergency disposal. According to the method, the potential leakage point of each component is determined by obtaining hydrogen-related component information of the hydrogen fuel cell vehicle. An accident tree is used to identify a root cause that may cause hydrogen leakage in the system, and then different accident scenarios are defined. And according to the leakage scenes of different hydrogen-related parts, determining the leakage frequency and the complete fracture frequency, and determining the disaster category. And finally, according to the leakage probability, the ignition probability and the consequences of different accident situations, calculating the comprehensive probability of disaster occurrence. And in combination with a hydrogen concentration sensor array arranged in the tunnel, the longitudinal ventilation air speed and the transverse exhaust air rate are automatically analyzed and adjusted, and the optimal economical, safe and efficient combined ventilation array is obtained according to risk indexes. The method can effectively predict the disaster-pregnant risk of the hydrogen storage vehicle in different environments, provides an economic and safe emergency disposal scheme, and can provide a theoretical basis for the safety technology development of a hydrogen storage system.

The invention discloses a solid-state hydrogen storage fuel cell system and a control method. The solid-state hydrogen storage fuel cell system comprises a fuel cell stack and a solid-state hydrogen storage module, the solid hydrogen storage module provides hydrogen for the fuel cell stack; the solid hydrogen storage module is provided with a first heat dissipation mechanism, and the fuel cell stack is provided with a second heat dissipation mechanism; the first heat dissipation mechanism and the second heat dissipation mechanism exchange heat through the first heat exchanger; an inlet of the first heat dissipation mechanism is provided with a PTC1 heater; an outlet of the first heat dissipation mechanism is provided with a first temperature sensor; the first heat dissipation mechanism is connected with the air compressor through a cooling liquid circulation pipeline; the air compressor, the intercooler, the humidifier and the tail gas silencer are sequentially connected through air ducts; the humidifier interacts gas with the fuel cell stack; heat generated by the fuel cell stack and waste heat of the air compressor are used for supplying heat to solid hydrogen storage and release, so that a radiator of the air compressor is omitted, and the integration difficulty of the solid hydrogen storage fuel cell system is reduced.

The invention discloses a hydrogen fuel cell ship safety protection system and method, and relates to the technical field of ship safety, and the method comprises the steps: starting a multi-mode sensor of each region, embedding an edge processing unit, and executing self-inspection and calibration; the edge processing unit preprocesses the sensor data by using adaptive filtering to obtain original data; building a three-dimensional virtual model of the ship and each area based on the original data, and simulating a hydrogen diffusion and fire evolution process in combination with real-time CFD simulation to obtain a risk prediction parameter and a preset safety threshold; according to the active scheduling control command, an emergency response plan is triggered according to risk grade classification; comparing the field feedback information with the execution state verification emergency response plan, and forming a safety protection report; according to the method, the emergency response plan is dynamically adjusted through the risk index, the safety, the response speed and the protection capability of the hydrogen fuel cell ship in a complex environment are effectively improved, and potential safety risks are reduced.

The invention belongs to the technical field of source and load storage optimal configuration, and particularly relates to a hydrogen energy storage-containing high-speed service area source and load storage optimal configuration method and device, and the method comprises the steps: constructing a high-speed service area architecture comprising a photovoltaic array, an energy storage battery, a hydrogen fuel cell, an electrolytic cell, a hydrogen storage tank and a load; constructing a storage battery model and a hydrogen energy storage system model; establishing a multi-service-area collaborative optimization model; establishing an upper-layer model and setting constraint conditions of the upper-layer model by taking minimization of the internal total operation cost and investment cost of the high-speed service area as a target function; establishing a lower-layer model and setting constraint conditions of the lower-layer model by taking the minimum single-day operation cost of the high-speed service area as an objective function; and taking the upper-layer model as a planning layer, taking the lower-layer model as an operation layer, and iteratively solving the double-layer model to obtain a high-speed service area source-load-storage optimal configuration scheme. Through collaborative optimization of the hydrogen energy storage system and the multiple service areas, the operation cost is remarkably reduced, and the reliability and economical efficiency of the high-speed service area are improved.

The unmanned aerial vehicle hydrogen-electricity hybrid power system comprises a vehicle body, a hydrogen fuel cell system, a power cell system and an energy management system are arranged in the vehicle body, and electric energy output by the hydrogen fuel cell system and the power cell system supplies power to a motor through the energy management system; the motor controls the spiral blades, the rotating speed of the motor is independently adjusted, and the posture and movement of the unmanned aerial vehicle are controlled by changing the direction and size of the lifting force; the energy management system is used for performing energy conversion during air speed change and braking of the unmanned aerial vehicle, converting mechanical energy into electric energy, inputting the electric energy into the power battery system, and meanwhile, converting the electric energy to judge whether the unmanned aerial vehicle has a high-power energy supply demand currently so as to adjust energy supply; according to the invention, the service life of the galvanic pile monomers can be prolonged, so that the service life of the hydrogen-electricity hybrid power system module can be prolonged; according to the energy management method, unnecessary energy loss is reduced, and the endurance time of the unmanned aerial vehicle is further prolonged.

The invention discloses a hydrogen-lithium dual-power system structure optimization design and integrated control method applied to an unmanned aerial vehicle. The method comprises the following steps: constructing a hydrogen-lithium dual-power system of the unmanned aerial vehicle; setting an integrated control strategy according to the hydrogen-lithium dual-power system; the integrated control strategy comprises an energy management strategy and a life and safety management strategy; the energy management strategy comprises a rule-based strategy, a power following strategy and a self-adaptive optimization strategy; the service life and safety management strategy comprises a hydrogen fuel cell protection strategy, a lithium battery health management strategy, a thermal management strategy, a dual-power coupling safety management strategy and a redundancy and fault processing strategy. By optimizing the power system design and the energy management strategy, the mass of the unmanned aerial vehicle device is reduced, the cruising ability, the load capacity and the environmental adaptability of the unmanned aerial vehicle are improved, and optimization processing of the control strategy is achieved.

The invention discloses a multi-target dynamic optimization hydrogen energy unmanned aerial vehicle energy management method and system under an MPC framework, belongs to the technical field of energy management, comprehensively considers factors such as energy consumption, battery degradation and output fluctuation, and realizes safe and efficient operation of a hybrid power system based on a predictive control idea. The management system comprises a sensing subsystem, a control subsystem, an interaction subsystem and a power supply subsystem. The management method comprises the following specific steps: adjusting a predictive control time domain according to a historical demand power sequence; updating the aging parameter of the hydrogen fuel cell, and fixing the weight coefficient of the cost function; through a multi-target online optimization algorithm, obtaining an optimal SOC change curve under a prediction time domain; and outputting the reference power of the fuel cell through linear MPC control according to the reference change curve.

The invention relates to the technical field of battery heat dissipation, in particular to a hydrogen fuel cell high-uniformity radiator and a high-uniformity heat dissipation method.The hydrogen fuel cell high-uniformity radiator comprises a mounting frame and a heat dissipation box fixed to the side wall of the mounting frame, a heat dissipation cavity is formed between the heat dissipation box and the mounting frame, and a fan is fixed to the end, away from the mounting frame, of the heat dissipation box; the multiple heat dissipation fins are fixed to the mounting frame and distributed at equal intervals, and heat dissipation structures used for disturbing flowing of airflow are arranged on the heat dissipation fins; the air guide mechanism is arranged in the heat dissipation box, a first air guide plate is connected to the air guide mechanism, a follow-up pressurization mechanism is further arranged in the heat dissipation box, a second air guide plate is connected to the follow-up pressurization mechanism, and by controlling the first air guide plate and the second air guide plate to execute deflection action, pressurization airflow can be conveyed to an edge weak air area, so that the pressurization effect is improved; therefore, heat flow escaping from the central area can be smoothly discharged from the edge area.

The invention discloses a mobile modular ammonia-hydrogen fuel cell system and a power generation method. The mobile modular ammonia-hydrogen fuel cell system comprises an ammonia storage module, an ammonia filling module, a hydrogen supply module and a fuel cell module, the ammonia storage module is connected with the ammonia filling module, the ammonia filling module is connected with the hydrogen supply module, and the fuel cell module is communicated with the hydrogen supply module; the hydrogen supply module comprises a plurality of reactors and combustors which are separately arranged; the fuel cell module comprises a fuel cell and a lithium battery which are connected in series; wherein two reactors are flue gas heating reactors, and the other reactor is an electric heating reactor; the combustor is connected with the flue gas heating reactor; the two flue gas heating reactors are simultaneously communicated with the electric heating reactor; the lithium battery is communicated with the electric heating sheet, and a purification unit is arranged between the electric heating reactor and the fuel cell. The mobile modular ammonia-hydrogen fuel cell system can realize flexible carrying of equipment and rapid supply of fuel, can realize rapid power supply under emergency conditions, and has the advantages of being green, pollution-free, wide in adaptive condition and the like.

The invention discloses an unmanned aerial vehicle hybrid power supply system energy management method based on fuzzy double closed-loop control in the technical field. An unmanned aerial vehicle hybrid power supply system comprises a hydrogen fuel cell, a lithium battery and a double active bridge circuit, and the hydrogen fuel cell and the lithium battery serve as energy sources of the hybrid power supply system; the dual-active bridge circuit is used for connecting a hydrogen fuel cell and a lithium battery and transmitting energy to an unmanned aerial vehicle load, the energy management method comprises a fuzzy power control outer ring and a fuzzy PI current control inner ring, the fuzzy power control outer ring dynamically distributes power according to a power signal required by the unmanned aerial vehicle load, a power error signal and a lithium battery charge state, and the fuzzy PI current control inner ring controls the power to be output. The fuzzy PI current control inner loop generates an accurate driving signal according to the battery power and the voltage ratio after fuzzy distribution, a switching device of the dual active bridge circuit is driven to be switched on, energy transmission is achieved, and the problems that in existing unmanned aerial vehicle energy management, the cruising ability is insufficient, and the energy utilization efficiency is low can be effectively solved.

The invention relates to the technical field of battery energy management, in particular to an energy management system and method for a hydrogen fuel cell module, and the system comprises a monitoring collection module which collects and contrasts the readings of a sensor based on the voltage parameter, the current parameter and the temperature parameter of the hydrogen fuel cell module to obtain original monitoring data, and performing numerical comparison on the load demand of the power distribution network to generate supply and demand matching information. In the invention, the difference statistics and the difference operation improve the accuracy of energy distribution, so that the matching between the energy distribution and the actual load demand is more accurate, and the overall energy efficiency is improved while the energy waste is reduced. And frequency band extraction and rate recording can capture subtle changes output by the battery, and the response speed is increased. In addition, the analysis and adjustment of the phase feature group provide adaptive ability, and the stability and reliability of the load change of the power grid are enhanced.

The invention discloses a numerical simulation research method for a high-performance hydrogen fuel cell based on magnetic-flow-thermal multi-physics field coupling. The method comprises the following steps: globally defining geometric dimensions and physical performance parameters of the fuel cell; constructing a high-performance hydrogen fuel cell three-dimensional model with permanent magnets arranged at the cathode and anode, and creating a geometric domain; defining a magnetic field coupling equation expression; adding material attributes and physical fields, selecting a solution domain for each physical field, and setting boundary conditions and parameters according to a control equation of the added physical field; grid division is carried out on the constructed three-dimensional model, a domain probe is added, and grid independence verification is carried out; research steps are determined, steady-state calculation is carried out on the coupled model, post-processing is carried out on result data, and a state curve or image is obtained. A numerical simulation method is utilized, a coupling model of the hydrogen fuel cell, multiphase flow, solid and fluid heat transfer and the magnetic field is constructed, the action and influence mechanism of the magnetic field on other physical fields is researched, and the performance of the fuel cell is effectively improved.

The invention provides a solar energy distribution map-based solar energy and hydrogen energy hybrid power hovercar energy management method, and belongs to the field of solar energy and hydrogen energy hybrid power hovercar energy management, and the method comprises the following steps: S1, predicting solar energy radiation intensity distribution by using a BP neural network; s2, determining the track of the hovercar by using an Astar algorithm improved based on solar radiation; s3, establishing a trajectory optimization and energy management coupling model; and S4, solving the coupling model by using a sequential quadratic programming algorithm. By reasonably distributing the power of each power source of the hybrid power hovercar, the charge state of the power battery of the hydrogen fuel cell hovercar is kept balanced, the hydrogen energy consumption is reduced, and the drivability and riding comfort of the hydrogen fuel cell hovercar are improved.

The invention discloses an integrated adjustable ejector for a vehicle-mounted hydrogen supply circulating system, which relates to the technical field of ejectors for vehicle-mounted hydrogen supply circulating systems and comprises a hydrogenation pipeline, a working pipeline and a circulating return pipeline. The circulating return pipeline comprises an integrated adjustable ejector, a hydrogen compressor, a steam-water separator, a circulating return pipeline one-way valve and a pressure reducing valve; the integrated adjustable ejector comprises a shell, a hydrogen inlet and outlet, a storage cavity, a valve, a control device, an execution controller and a monitoring and temperature control module. The integrated adjustable ejector is installed on the circulating backflow pipeline, the monitoring and temperature control module is integrated on the ejector, the hydrogen flow, pressure and temperature are monitored in real time, and the hydrogen temperature is adjusted so that stable operation can be achieved; the fuel cell reactor hydrogen flow sensor converts flow required by a fuel cell reactor into an electric signal, transmits the electric signal to the control device, and controls the execution controller to adjust the valve, so that dynamic optimization is realized, and various working condition requirements of a hydrogen fuel cell automobile are met.

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 automobile energy supply, in particular to a solid hydrogen storage-fuel cell integrated power assembly system based on dual-mode hydrogen supply, which comprises a hydrogen supply path identification module, a hydrogen storage unit state monitoring module, a linkage path switching module, a fuel cell load matching module and a safe hydrogen discharge regulation and control module. According to the method, the hydrogen supply pressure difference value is obtained by dynamically comparing the pressure of the cavity of the hydrogen storage tank with the pressure of the hydrogen inlet of the fuel cell, the current hydrogen supply path state can be accurately recognized in the early stage, rapid judgment of the hydrogen supply mode and accurate control of path switching are achieved, whether the risk of hydrogen supply interruption exists or not can be effectively screened, and the reliability of hydrogen supply is improved. The switching reliability of a hydrogen supply channel is improved through cross comparison of key state signals of a main channel and a standby channel, and instant response and energy consumption optimization of hydrogen discharge safety regulation and control are guaranteed through a linkage feedback mechanism between the hydrogen concentration change rate in unit time and catalytic converter control power.

The invention discloses a hydrogen fuel cell hybrid electric vehicle energy management method based on robust optimization, and the method comprises the following steps: building a vehicle model: building a longitudinal dynamic model of a hydrogen fuel cell hybrid electric vehicle, determining a vehicle demand power model, and building an evaluation function of instantaneous hydrogen consumption, constructing an output power model of the hydrogen fuel cell and the capacitor; performing uncertainty analysis on the hydrogen fuel cell hybrid electric vehicle, determining uncertain parameters in the vehicle model, and constructing an uncertainty set of the uncertain parameters; the method comprises the following steps: constructing an sLSTM vehicle speed prediction model through vehicle historical speed data, predicting a future driving speed, analyzing the uncertainty of the prediction model, and outputting a prediction speed error in a current prediction time domain; and according to the optimization target, constructing a target function for minimizing the hydrogen consumption, solving the target function by applying a robust optimization algorithm, and outputting a first control result of the optimal control sequence.

The invention provides a hydrogen storage system control method and device, electronic equipment and a vehicle. The hydrogen storage system control method comprises the steps that gas leakage detection is conducted on a hydrogen pipeline of a vehicle-mounted hydrogen storage system; according to the method, the passage between the target pipeline with the gas leakage fault and the hydrogen source is controlled to be cut off instead of closing the whole hydrogen storage system, so that the hydrogen storage system can continue to work through other pipelines, the reliability of the vehicle-mounted hydrogen storage system is improved, the stability of the hydrogen fuel cell vehicle is guaranteed, and the driving experience is improved.

The invention provides a random copolymerization sulfonated phenyl polyphenyl ionomer material and a preparation method thereof, belongs to the technical field of proton exchange membrane materials of fuel cells, and aims to solve the technical problems of low conductivity and poor chemical stability of proton exchange membranes. The ionomer takes monomers I and II as raw materials, the raw materials are dissolved in a reaction medium of a polar solvent, a catalyst is added into a reaction system at the temperature of 70-100 DEG C, and the reaction continues for 3-6 h under the condition; pouring a reaction solution into a concentrated hydrochloric acid aqueous solution after the reaction is finished, separating out a precipitate, and filtering; and washing with concentrated hydrochloric acid and deionized water, and finally drying to obtain the target ionomer. The preparation method has the characteristics that the synthesis is simple, the cost is low, the molecular weight of the obtained polymer is high, the proton exchange membrane is good in conductivity, high in water absorption and the like, and the prepared proton exchange membrane has a wide application prospect when being used as a proton exchange membrane of a hydrogen fuel cell.

The invention provides a platinum-carbon catalyst taking hollow carbon nanospheres as a carrier and a preparation method of the platinum-carbon catalyst. The method comprises the following steps: adding a polymer monomer into a nano template dispersion liquid with a uniform size; then adding a proper amount of platinum salt into the solution to obtain a mixed solution, and stirring to react for 0.5-30 hours to obtain a reaction product; and annealing the reaction product, and then removing the nano template to obtain the platinum-carbon catalyst. The obtained platinum-carbon catalyst takes the hollow carbon nanospheres as a carrier and has a larger specific surface area, the platinum catalyst is loaded on the surfaces of the carbon nanospheres and can be in better contact with an electrolyte, and the obtained catalyst has good electrochemical activity and shows excellent electro-catalytic hydrogen evolution performance and oxygen reduction performance; and the related preparation method is simple and reliable, is suitable for preparation of an electrocatalytic hydrogen evolution electrode and an oxygen reduction electrode, and has a good application prospect in the fields of proton exchange membrane electrolytic cells, hydrogen fuel cells and the like.

The invention relates to the technical field of comprehensive energy systems, in particular to an optimal scheduling method, device and equipment for a comprehensive energy system and a medium, and the method comprises the steps: carrying out mechanism modeling on a hydrogen fuel cell, and carrying out the quantitative analysis of the variable working condition cogeneration characteristics of the hydrogen fuel cell in a feasible region through a piecewise linearization method; taking the minimum sum of the stepped carbon transaction cost, the energy purchase cost and the wind curtailment cost as a target, and establishing a target function of the integrated energy system optimization scheduling considering the thermoelectric variable working condition characteristics of the hydrogen fuel cell; establishing an optimization scheduling constraint condition considering the thermoelectric coupling hydrogen fuel cell; on the basis of a thermoelectric coupling curve obtained by the mechanism model, constructing a comprehensive energy system scheduling model considering the thermoelectric variable working condition characteristics of the hydrogen fuel cell by using a target function and constraint conditions; and solving the integrated energy system scheduling model to obtain the integrated energy system optimal scheduling method. Efficient integration and utilization of renewable energy sources, hydrogen energy and other clean energy sources are promoted.

The invention discloses a hydrogen fuel cell ship power switching system, which relates to the technical field of hydrogen fuel cell ship hybrid power, and comprises a topological optimization module for optimizing a series-parallel topological structure of a fuel cell stack through a quantum annealing algorithm based on a multi-modal data set, the reconfigurable bipolar plate magnetic control switch is triggered to execute millisecond topology switching, and a topology state coding signal is synchronously generated; and the compensation module is used for inputting the topological state coding signal into the LSTM model, predicting a fault risk value, correcting the time step length of a leakage diffusion equation according to the real-time switching frequency of a magnetic control switch, and calculating a ship inclination angle correction term according to the corrected time step length. According to the invention, through an accurate fault prediction and compensation mechanism, operation interruption and maintenance cost caused by unpredictable faults are greatly reduced.