11262results about "Fuel cells" patented technology

A fuel cell fault diagnosis method based on a neural network. The method comprises: for a PEMFC system, acquiring operating state data, wherein the PEMFC system comprises a humidifier and a fuel cell stack; inputting the operating state data into a trained fault pre-diagnosis model, so as to predict a fault diagnosis result of the fuel cell stack at a subsequent moment. The fault pre-diagnosis model is constructed on the basis of a Transformer neural network, and comprises an encoder and a decoder, wherein the encoder comprises a plurality of small encoders, and each small encoder is provided with a self-attention layer and a feedforward neural network layer; and the decoder comprises a plurality of small decoders, and each small decoder comprises a self-attention layer, an attention layer and a feedforward neural network layer. An early warning can be provided for a water management fault of a PEMFC in an operating state, and the accuracy of pre-diagnosis is effectively improved.

The present invention relates to the technical field of proton exchange membrane fuel cells. Disclosed are a fuel cell parameter identification method and apparatus, and a device and a storage medium. The method comprises the following steps: constructing a semi-empirical model for a proton exchange membrane fuel cell; calculating a theoretical value of an output voltage of the semi-empirical model, and constructing an objective function by means of a mean square error between the theoretical value and an actual value of the output voltage of the semi-empirical model; on the basis of the semi-empirical model, determining a plurality of parameters to be identified, and using said plurality of parameters as decision variables to construct a plurality of constraint conditions for the objective function; on the basis of the plurality of constraint conditions, constructing an optimization model for the proton exchange membrane fuel cell by using the minimization of the objective function as an optimization objective and using said plurality of parameters as variables to be solved; and solving the optimization model by means of a multi-policy sparrow search optimization algorithm, so as to obtain a plurality of optimal parameters to be identified. In the multi-policy sparrow search optimization algorithm in the present invention, Tent chaotic mapping is introduced to initialize a population, the number of populations is increased, and then the two populations are merged. An adaptive feedback mechanism is added in a follower position update stage and a vigilant position update stage, thereby reducing the convergence accuracy under a limited number of iterations. A DE / best / 1 mutation policy and a dynamic scaling factor sf are used to update the position of a sparrow. The global optimization capability and the local optimization capability of an algorithm are improved, thereby also improving the accuracy of fuel cell parameter identification.

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.

The invention provides a heat dissipation method, device and equipment for a fuel cell air compressor. The method comprises the following steps: collecting a multi-dimensional heat data set of the fuel cell air compressor in a layered manner; performing feature extraction on the multi-dimensional heat data set, and inputting the extracted feature data set into a neural network model based on deep transfer learning to obtain a corresponding heat dissipation efficiency attenuation prediction model; establishing a multi-objective optimization equation of the air compressor based on the multi-dimensional heat data set and the heat dissipation efficiency attenuation prediction model, and solving the multi-objective optimization equation to obtain a heat dissipation control strategy set; and dynamically partitioning a heat dissipation system of the air compressor, and cooperatively adjusting the flow and the flow direction of cooling liquid in each dynamically partitioned region according to the heat dissipation control strategy set to realize heat dissipation of the air compressor. According to the invention, the problems of cooling efficiency attenuation and non-uniform resource distribution caused by cooling liquid quality change and integral control in the prior art are solved.

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 catalytically coated anion exchange membranes and their production. The catalytically active coated anion exchange membranes are used in electrochemical cells, in particular for water electrolysis. The object of the invention was to provide a process for producing an electrocatalytically active coated anion exchange membrane whose coating is porous and thus the electrocatalytically active centers located in the coating are easily accessible to the reactants. A basic idea of the process according to the invention is to incorporate particulate inorganic material into the catalyst coating as a placeholder, to solidify the coating, and then to leach the inorganic material out of the coating. The leaching converts the inorganic material into a water-soluble product that can be easily washed out of the coating.What remains are voids (pores) where the particulate inorganic material was previously located within the coating. The inorganic material therefore assumes the function of a structure-imparting agent within the coating composition, which is lost during the catalytically active coating process.

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 discloses an extended-range hydrogen fuel power ship propulsion system, which relates to the technical field of ship propulsion and comprises an acquisition module, a quantum annealing optimization module and a quantum chip, the acquisition module is used for eliminating noise interference of acquired hydrogen energy ship power parameters through a Kalman filtering algorithm and generating a standardized data packet, and the quantum chip is used for receiving the standardized data packet and outputting the standardized data packet. The method comprises the following steps: mapping hydrogen energy ship power parameters into an Isin model, generating a control instruction according to a hydrogen fuel consumption rate, an equipment life attenuation coefficient and a navigation task priority weight, inputting the control instruction into a simulation model of a proton exchange membrane by a proton membrane regulation and control module, and dynamically regulating a hydrogen production rate and fuel cell power, according to the system, the efficient hydrogen energy closed-loop monitoring unit and the three-level safety protocol are adopted, the response speed and precision are improved, the stability and safety are remarkably enhanced, it is ensured that a ship can reliably operate under the complex working condition, and potential safety risks are reduced.

The invention discloses a porous substrate reinforced anion exchange membrane and a preparation method and application thereof, and relates to the technical field of anion exchange membranes. The porous substrate reinforced anion exchange membrane is prepared by the following steps: uniformly mixing a polyarylene alkylene type cationic polymer solution and a C1-C10 alcohol solvent, then coating two sides of a porous substrate with the mixture, and drying to obtain the porous substrate reinforced anion exchange membrane. And removing the solvent to obtain the product. According to the method, the porous substrate can be well infiltrated by the cationic polymer solution without pre-treating the porous substrate, so that the porous substrate reinforced anion exchange membrane with a sandwich-like structure is obtained. The film has outstanding swelling resistance and excellent mechanical properties, has good electrochemical properties, and has good application prospects in alkaline film energy conversion devices.

The invention relates to a membrane stack (9) for an air humidifier (1) of a fuel cell for humidifying a dry supply air stream (2) of the fuel cell by means of a moist exhaust air stream (3) of the fuel cell, - wherein the membrane stack (9) is configured in a cuboid shape, has a stacking direction (S) and four stacking sides (10) perpendicular to the stacking direction (S), - wherein the membrane stack (9) has a vertical direction (Z) parallel to the stacking direction (S), a longitudinal direction (X) perpendicular to the vertical direction (Z) and a transverse direction (Y) perpendicular to the vertical direction (Z) and perpendicular to the longitudinal direction (X), - wherein the four stack sides (10) form an air supply inlet (ZE) and an air supply outlet (ZA) facing away from each other in the longitudinal direction (X), and an exhaust air inlet (AE) and an exhaust air outlet (AA) facing away from each other in the transverse direction (Y), - wherein the membrane stack (9) comprises several membranes (11) which are permeable to moisture and impermeable to air and which follow one another in the stacking direction (S) such that the membranes (11) within the membrane stack (9) each separate a supply air path (ZP) connecting the supply air inlet (ZE) to the supply air outlet (ZA) from an exhaust air path (AP) connecting the exhaust air inlet (AE) to the exhaust air outlet (AA). Improved functional reliability can be achieved by having the membrane stack (9) have several spacers (12) which are arranged in the stacking direction (S) between two immediately successive membranes (11) in one of the exhaust air paths (AP).

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 provides a novel polynorbornene anion exchange ionomer containing a polar functional group as well as a preparation method and application of the novel polynorbornene anion exchange ionomer. The polynorbornene has excellent thermal stability and chemical stability. Meanwhile, the AEI main chain of the polynorbornene has no aryl group, so that the adsorption influence caused by the aryl group is avoided. The synthesized addition polynorbornene AEI in the form of quaternary ammonium salt can be dissolved in a low-boiling-point solvent, and it is ensured that a membrane electrode can be prepared through a solvent casting method. Besides the solubility of the AEI, the addition polynorbornene-based AEI in the form of quaternary ammonium salt is modified by utilizing a thiol-ene click reaction, an anion exchange ionomer containing a polar functional group can be prepared, the interaction between the AEI and an electrolytic catalyst is improved, the reaction is simple and easy to operate, the universality is high, and the method is suitable for industrial production. And the current density in the AEMWE system containing the AEI can be effectively improved.

The invention relates to the field of gas-water separation, in particular to a gas-water separation device which comprises a separation device body, a gas-water input pipe is arranged at the bottom of the side end of the body, a horizontal cavity is formed in the body, a plurality of dehumidification air cushions arranged side by side are arranged in the horizontal cavity, and horizontal filtering baffles are fixedly installed at the lower ends of the dehumidification air cushions. The gas-water separator combines a baffle type and a centrifugal type for gas-water separation, so that the separation efficiency is greatly improved. And through cooperative control of the humidity sensor and the temperature sensor, accurate gas-water separation management is realized. The humidity control part ensures that gas enters a proper separation area by switching baffle plate paths, and the temperature control part heats through an electrothermal film and cools through a heat dissipation copper sheet, so that the gas-water separator always operates in an optimal temperature interval. In combination with a lag control mechanism, the system can effectively avoid frequent switching caused by environmental humidity fluctuation, reduce energy consumption, prolong the service life of equipment, and ensure long-term stable operation of the fuel cell system.

The invention relates to a high-temperature proton exchange membrane, in particular to a high-temperature proton exchange membrane based on silica cross-linked polybenzimidazole and a preparation method of the high-temperature proton exchange membrane. The preparation method comprises the following steps: polymerizing 3, 3 '-diaminobenzidine, 4, 4'-diphenyl ether dicarboxylic acid and 5-hydroxyisophthalic acid to form a polybenzimidazole main chain containing an ether bond and a phenolic hydroxyl group, grafting a silane coupling agent on the polybenzimidazole main chain, and finally carrying out membrane formation and acid catalysis treatment to obtain the high-temperature proton exchange membrane based on silica crosslinked polybenzimidazole. A silicon-oxygen network structure is introduced into a polybenzimidazole main chain, so that the phosphoric acid retention rate and the oxidation resistance of the polymer film can be effectively improved, and the service life of the polymer film is prolonged.

The invention discloses a fuel cell fault diagnosis method based on a CNN (convolutional neural network)-Transform. The method comprises the following steps: collecting original data; performing data preprocessing and feature importance evaluation selection on the original data; dividing the data samples selected through feature importance evaluation into a training set and a test set; respectively inputting the training set and the test set into a CNN-Transform model for feature extraction, and outputting a new training set and a new test set; constructing double full connection layers, and outputting three operation states of fuel cell normality, membrane dryness and hydrogen leakage predicted by the corresponding CNN-Transformer model to obtain a prediction score of each group of data; the optimal parameter configuration of the CNN-Transform model is obtained, and the optimal parameter configuration of the CNN-Transform model is obtained; and substituting the new test set into the CNN-Transform model after parameter optimization, and outputting a fuel cell fault diagnosis result. Through the CNN-Transformer algorithm provided by the invention, the three operation states of the fuel cell, i.e., the normal state, the membrane drying state and the hydrogen leakage state, can be better distinguished, and the problems of insufficient robustness and poor generalization ability of a single model are solved.

The invention relates to a ring filter element with a filter medium body in the form of a bellows, which has at least one radially internal pleat spreading section adjacent to an open end disk. The open end disk has at least one recess. The recess and the pleat spreading section are arranged in overlapping positions. At the axial end facing away from the open end disk, the filter medium body is sealed by a closed end disk. When the ring filter element is used in a filter device, an engagement element engages the pleat spreading section and / or the recess. The engagement element can be formed on a filter housing or on another ring filter element of the filter device. Thus, an angular position of the ring filter element relative to the filter housing or the other ring filter element is fixed.

The invention belongs to the technical field of solid oxide batteries, and discloses a nickel-iron support body of a metal-supported solid oxide battery, a total battery and a preparation method. The nickel-iron supporting body of the metal-supported solid oxide battery is made of a nickel-iron alloy material in a reducing atmosphere, a gradient pore structure with gradient pore distribution is prepared and formed through a double-layer casting phase inversion process, and the gradient pore structure is a composite structure comprising a finger-shaped pore channel layer and a skin layer. Compared with a ceramic material, the composite material has higher mechanical strength and thermal conductivity, can better bear thermal shock and mechanical stress, is particularly suitable for high-temperature and rapid thermal cycle working environments, and can keep good structural stability under the rapid heating condition of 50 DEG C / min.

The present invention relates to a gel polymer electrolyte membrane and a preparation method therefor, and a secondary battery. The gel polymer electrolyte membrane comprises an ionic liquid and a polyionic liquid obtained by polymerizing the ionic liquid. Further provided is a gel polymer electrolyte membrane having both a high ionic conductivity and high mechanical properties.

The invention belongs to the technical field of fuel cells, and particularly relates to carbon paper for a gas diffusion layer with a water-gas management function and a preparation method of the carbon paper. The carbon paper for the gas diffusion layer comprises at least three alternately stacked carbon layer structures, odd layers are macroporous carbon layers, and the macroporous carbon layers are formed by dipping carbon fiber base paper in a mixed solution of resin and a conductive material and drying the carbon fiber base paper; the even-numbered layers are small-hole carbon layers, and the small-hole carbon layers comprise resin and conductive materials and are coated on the surfaces of the odd-numbered layers; the odd-numbered layers and the even-numbered layers are compounded through a hot-pressing process to form a composite material; the composite material is subjected to high-temperature heat treatment to form a carbon paper A conductive network is formed in the carbon paper, the carbon paper with higher conductivity is prepared, part of the conductive material is filled in the carbon paper to build a microporous structure, the low-gram-weight base paper forms a macroporous structure, and the conductive material and the resin are mixed to form a microporous structure, so that the water and gas management capability is favorably improved.

The invention discloses a preparation method of an acid-resistant polyquaternary ammonium membrane based on a Porxitch interfacial polymerization reaction. The preparation method comprises the following steps: dissolving an amine monomer in a water-phase solvent to form a water-phase solution; dissolving a bromomethyl monomer in an organic phase solvent to form an organic phase solution; after the base membrane is soaked in the water phase solution for a period of time, the water phase solution is removed, and the water phase solution remaining on the surface of the base membrane is removed; coating the organic phase solution on the surface of a base membrane, and carrying out interfacial polymerization reaction for 1-15 minutes at the high temperature of 50-90 DEG C, so as to prepare a polyquaternary ammonium membrane on the base membrane; and washing the surface of the polyquaternary ammonium membrane with an organic solvent to remove residual reactants, and then carrying out heat treatment in a drying oven to obtain the acid-resistant polyquaternary ammonium membrane.

The invention discloses a method for preparing a platinum-based alloy catalyst by using a plasma enhanced chemical vapor deposition low-temperature technology, relates to a preparation method of a platinum-based alloy catalyst, and aims to solve the technical problems that a carbon layer is not uniformly coated and metal particles of the catalyst are easy to agglomerate in a high-temperature calcination process in the existing platinum-based alloy catalyst prepared by carbon coating. The method comprises the following steps: 1, preparing Pt / C by a polyhydric alcohol reduction method; 2, pre-treating a Pt / C catalyst; 3, preparing M-Pt / C by a dipping evaporation method; 4, PECVD carbon shell coating is carried out; (5) alloying; and 6, removing a part of carbon shell to obtain the platinum-based alloy catalyst. When the Pt / C catalyst is used for preparing a membrane electrode of a proton exchange membrane fuel cell, the peak power density can reach 1.72-1.89 W / cm < 2 > under a hydrogen-air condition, which is improved by 20.3% and 32.2% compared with a membrane electrode of a commercial 20% Pt / C catalyst, and the Pt / C catalyst can be used in the field of proton exchange membrane fuel cells.

The invention relates to a cuboid membrane stack (9) for an air humidifier (1), which has a stacking direction (S) and four stacking sides (10) transverse to the stacking direction (S), wherein the membrane stack (9) has a vertical direction (Z) parallel to the stacking direction (S), a longitudinal direction (X) perpendicular to the vertical direction (Z), and a transverse direction (Y) perpendicular to both the vertical direction (Z) and the longitudinal direction (X), wherein the four stacking sides (10) form an air supply inlet (ZE) and an air supply outlet (ZA) facing away from each other in the longitudinal direction (X), and an exhaust air inlet (AE) and an exhaust air outlet (AA) facing away from each other in the transverse direction (Y), wherein the membrane stack (9) has several membranes (11) which, within the membrane stack (9), each form an air supply path (ZP) connecting the air supply inlet (ZE) to the air supply outlet (ZA), and an exhaust air path (AP). separate,which connects the exhaust air inlet (AE) with the exhaust air outlet (AA). Improved dimensional stability can be achieved by forming a membrane pair (18) with two membranes (11) that are adjacent in the stacking direction (S) and that define one of the supply air paths (ZP) in the stacking direction (S), by connecting the two membranes (11) of the respective membrane pair (18) airtightly to each other by an adhesive bond (21) in a first edge region (19) adjacent to the exhaust air inlet (AE) and in a second edge region (20) adjacent to the exhaust air outlet (AA), and by having the membrane stack (9) have several spacers (12) that are arranged in the stacking direction (S) between two immediately successive membrane pairs (18) and each of which rests against one of the membranes (11) of the two membrane pairs (18) and separates them from each other in the stacking direction (S), such thatthat the membranes (11) adjacent to and spaced apart from each other on the spacer (12) limit one of the exhaust air paths (AP) in the stacking direction (S).

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 relates to the technical field of fuel cell detection, in particular to an intelligent detection system and method for a fuel cell test jig, and the system comprises a temperature gradient monitoring module, a power fluctuation analysis module, a health degree evaluation module, an abnormal trend recognition module and an intelligent early warning module. According to the invention, by accurately measuring the temperature data of the fuel cell and comparing the temperature difference, the multi-point temperature gradient monitoring is realized, the temperature balance is ensured, the local abnormity is reduced, the cooling response is dynamically adjusted, the voltage, current and temperature data are combined, the power fluctuation characteristics are accurately identified, the monitoring precision is improved, the internal resistance and the power reduction rate are analyzed, and the performance degradation is identified. The health state evaluation accuracy is improved, the short-time power change standard deviation is calculated, the load change influence is recognized, the fluctuation distribution rule is established, the abnormity recognition capability is improved, the early warning threshold value is set through the health state data, intelligent life early warning is achieved, and the system stability and safety are enhanced.

The invention provides a membrane electrode, a preparation method thereof and a monocell, the membrane electrode comprises a double-cathode catalyst layer, a proton exchange membrane and a gas diffusion layer, the double-cathode catalyst layer comprises a first catalyst layer and a second catalyst layer; the first catalyst layer is connected with the proton exchange membrane, and the second catalyst layer is connected with the gas diffusion layer; the raw materials of the double-cathode catalyst layer comprise a platinum-containing catalyst and an ionomer; the particle size D50 of platinum in the first catalyst layer is smaller than the particle size D50 of platinum in the second catalyst layer. The double-cathode catalyst layer is arranged, and the particle size D50 of platinum in the first catalyst layer is smaller than the particle size D50 of platinum in the second catalyst layer, so that the utilization rate of the material is improved to the maximum extent, the cost is reduced, the performance and the overall durability of the membrane electrode are improved, and the membrane electrode has good development potential.

The utility model discloses an active flow equalizing device of a flow battery system, which relates to the field of flow batteries and comprises a flow battery module and a flow battery capacity unit, the active flow equalizing device of the flow battery system adopts a standardized design, and one flow battery module is provided with two adjustable distributed circulating pumps. Data are collected through temperature, pressure and flow sensors, a battery management system performs analysis according to a big data algorithm, and independent control of each flow battery module is realized on each module, so that the flow of each electric pile in the module is uniform and controllable; when it is monitored that the galvanic piles in the modules run abnormally and are not controlled, the battery management system can close the control valves of the galvanic piles in time and give an early warning, subsequent fault detection is facilitated, and meanwhile normal running of the other galvanic piles is not affected. According to the utility model, stable output of the circulating pump is realized, and the pile charging and discharging efficiency is greatly improved.

Disclosed is a marine fuel cell-based integrated heat, electricity, and cooling supply system comprising a power supply system and a waste heat recovery system; the power supply system comprises wind turbine generator sets, solar generator sets, and a fuel cell power module; the waste heat recovery system encompasses a turbine power generation module and a lithium bromide refrigeration module; the fuel cell power module is connected to both the turbine power generation module and the lithium bromide refrigeration module; the turbine power generation module is used to generate electricity using waste heat. This approach fully exploits the waste heat from the exhaust gas generated by the fuel cell power module, resulting in a high overall energy utilization rate. The self-consumption electricity and pure hydrogen fuel for the integrated energy supply system can be obtained from solar and wind energy, ensuring low carbon emissions for the entire system.

The invention provides a state detection and health diagnosis method and system of an SOFC system, and relates to the technical field of solid oxide battery state monitoring, and the method comprises the steps: obtaining the operation parameters of an SOFC, and optimizing the data consistency and anti-noise capability based on the fusion algorithm of dynamic Bayesian reasoning and the conditional probability distribution of the operation state of the SOFC; frequency domain features are extracted through fast Fourier transform, dimension reduction is carried out in combination with improved principal component analysis, key variables are reserved, and feature expression is optimized for SOFC high-temperature vibration features; predicting SOH (state of health) and RUL (residual life) of the SOFC based on a random forest, a generative adversarial network and an online updating mechanism; and outputting a diagnosis result and generating a dynamic maintenance scheduling plan based on the RUL prediction, and optimizing the system life by minimizing the downtime and the cost. Through integration of multi-source data fusion, frequency domain feature extraction, AI diagnosis and data enhancement and predictive maintenance, limitations in precision, efficiency and service life optimization in the prior art are overcome.

The invention belongs to the technical field of conductive connection, and particularly relates to an assembling mechanism for keeping combined pole pieces clamped, in particular to a pole piece assembling mechanism, an electric pile material pre-assembling device and a working method of the electric pile material pre-assembling device. Wherein the pole piece assembling mechanism is provided with an assembling plate; a rotating arm; a first lifting assembly; a second lifting assembly; the pressing frame is provided with a square opening matched with the pressing plate. And elastic anti-clamping pieces are embedded in the side walls of the pressing plates. The elastic anti-clamping piece is arranged on the side wall of the pressing plate, so that when the pressing frame is separated from the pressing plate, the elastic anti-clamping piece can automatically and dynamically adjust the levelness of the pole piece frame falling into the pressing plate, and the problem that the pole piece frame is inclined and clamped is effectively avoided; when the pressing frame and the pressing plate are pressed in a matched mode, the elastic anti-clamping piece is pressed to retract, accurate assembly of the pole piece frame and the membrane electrode is guaranteed, pole piece damage caused by rigid contact is prevented through the elastic buffering effect, and therefore the assembly yield of the galvanic pile pole piece is remarkably increased.

The invention relates to a method (10) for producing an electrochemical cell (12), in particular an electrolysis cell (14), comprising a cell substrate (16), a first electrode layer (26), a second electrode layer (32), and an electrolyte layer (28) arranged between the first electrode layer (26) and the second electrode layer (32), the electrolyte layer comprising zirconium oxide stabilized at least with scandium (Sc), wherein the electrolyte layer (28) is deposited by a sputtering process. It is proposed that a target be used in the sputtering process which has at least 10 atomic percent (At%) of scandium (Sc) relative to the metals of the target.