19106results about "Cells" patented technology

The invention belongs to the technical field of renewable energy hydrogen production, and particularly relates to a power distribution method and system for an ALK-PEM electrolytic cell hydrogen production system, and the method comprises the steps: obtaining the operation characteristics of an ALK electrolytic cell and a PEM electrolytic cell, and constructing an ALK-PEM electrolytic cell combined hydrogen production system; based on the starting and stopping characteristics of the electrolytic cell of the constructed ALK-PEM electrolytic cell combined hydrogen production system, considering the second-level starting and stopping characteristics of the PEM electrolytic cell, and determining the operation mode of the electrolytic cell of the hydrogen production system by adopting an electrolytic cell array double-layer rotation operation mode; according to the determined operation mode of the electrolytic cell, an optimal power distribution model considering starting and stopping of the electrolytic cell is constructed by taking the maximum net income of the hydrogen production system of the mixed electrolytic cell as a target; the constructed optimal power distribution model is solved, and power distribution of the ALK-PEM electrolytic cell hydrogen production system is completed.

The invention relates to the technical field of hydrogen production, in particular to a micro-grid hydrogen production system based on dynamic optimization control and a multi-mode energy scheduling method. Comprising a renewable energy power generation unit which comprises at least two distributed power supplies with different power generation characteristics; the multi-stage hydrogen production device is configured to receive the electric energy output of the renewable energy power generation unit and perform proton exchange membrane water electrolysis hydrogen production; the hybrid energy storage system comprises a super capacitor bank and a lithium ion battery pack which are connected in parallel to the direct current bus through a bidirectional DC / DC converter; the dynamic optimization controller is internally provided with a multi-time-scale coordination algorithm and is used for acquiring meteorological prediction data, load demand data and an energy storage SOC state in real time; the multi-mode scheduling module comprises three working modes including an island operation mode, a grid-connected operation mode and an emergency standby mode; according to the scheme, hydrogen production economy, equipment durability and power supply reliability can be considered at the same time.

The invention provides an electricity-hydrogen coupling intelligent regulation and control method and system considering a wind-solar prediction error, and relates to the technical field of electric power, and the method comprises the steps: collecting wind-solar historical power generation data, and obtaining prediction error probability distribution based on adaptive combination kernel density estimation; the distribution serves as an uncertainty constraint, a dual neural network is adopted to execute deep reinforcement learning, an action value network dynamically adjusts a decision space, and a target network evaluates risks and restrains decisions based on conditional risks and state values; a distributed collaborative network is constructed, and hydrogen production power and hydrogen desorption power are controlled in real time based on a dynamic consistency theory and a synchronous potential function. The operation stability and economical efficiency of the electricity-hydrogen coupling system are improved, and the uncertainty of wind and light power generation is effectively dealt with.

The invention provides a coordination control method for a photovoltaic off-grid hydrogen production system, which comprises the following steps of: acquiring voltage and current time domain signals of a photovoltaic array, constructing an impedance frequency characteristic mapping model through tensor decomposition and a radial basis function network, and calculating converter control parameters; based on converter control parameters and environment data, temperature-sensing-free self-correction photovoltaic characteristic prediction is achieved through electrical parameter indirect temperature estimation, and an MPPT reference track and a power prediction track are generated; multi-time-scale data coordination processing of millisecond-level electrical control, second-level pressure regulation and minute-level temperature optimization is executed, potential conflicts are solved, and an execution instruction set is generated; and generating and issuing a system comprehensive control instruction by adopting a double-layer deep reinforcement learning network. According to the method, the system efficiency and stability are improved, and the performance is excellent especially under the illumination fluctuation working condition.

The invention discloses a differentiated precise current distribution control method in a multi-workpiece batch electroplating process. The method comprises the following steps: acquiring multi-workpiece feature data and preprocessing the multi-workpiece feature data; workpiece difference characteristic analysis and grouping are carried out; modeling and analyzing the electric field distribution of the electrolytic cell; plating layer growth dynamic monitoring and prediction are carried out; and generating a differential current distribution strategy. A multi-frequency differential resistance spectrum acquisition system is adopted to realize real-time monitoring of plating layer growth, an improved independent component analysis algorithm fused with spatial constraint is applied to perform workpiece group resistance spectrum decoupling, and micro-area accurate current modulation is realized through a self-adaptive waveform library of an electric field distortion area. The problems that dynamic characteristics of plating layers are difficult to monitor and differentiation control of workpieces with similar characteristics is insufficient in multi-workpiece electroplating are solved, and the quality consistency of the plating layers is improved.

The invention relates to the technical field of hydrogen energy, and discloses an auxiliary-machine-free solid oxide electrolytic hydrogen production system and an auxiliary coal electricity deep adjustment method, the hydrogen production system comprises an SOE heat box system for electrolytic hydrogen production, a hydrogen circulation subsystem and a hydrogen storage subsystem; the ejector is driven by external heat source steam, part of hydrogen at an outlet of the SOE heat box system is ejected to a low-pressure suction inlet of the ejector through the hydrogen circulation subsystem, and formed reducing mixed gas of steam and hydrogen enters a cathode inlet of the SOE heat box system. The system is driven by an external heat source and operates in an internal stack heating mode, so that the power consumption of the electrolytic hydrogen production system is reduced; by adopting the modes of external material supply, cathode ejector material self-circulation and multi-stream heat exchange, a complex cold and hot auxiliary machine of a traditional solid oxide electrolytic hydrogen production system is omitted, the structure is simple, and the system compactness is greatly improved; electric power-steam-air-condensed water flow coupling is established with a coal-fired power plant, and efficient, flexible and deep peak shaving is adjusted in combination with steam extraction multi-stage adjustment.

The invention provides a flexible preparation system and method for sustainable aviation fuel, and the system comprises a green power supply module which is used for outputting fluctuating green electric energy; the process execution device is connected with the green power supply module and comprises five process modules, namely an air carbon capture module, a co-electrolysis module, a Fischer-Tropsch synthesis module, a hydrogen production module and a hydrogenation refining module; the data acquisition module is used for acquiring the temperature, the pressure, the liquid level, the raw material input flow and / or the product output flow of each process module in the process execution device; and the decision control module is used for predicting the future power supply condition of the green electricity based on the historical weather data of the green electricity location, adjusting the distribution of the power in each process module according to the future power supply condition, and adjusting the temperature, pressure and / or raw material input flow in each process module. According to the invention, the cost, the reliability, the operation and maintenance performance, the product quality and the green power utilization rate can be substantially improved at the same time, and the flexible and stable operation of the system under the green power condition is realized.

The invention relates to the technical field of integrated circuit manufacturing, in particular to a precise electroplating control system and method for an electroplated layer of a double-layer circuit board, and the method comprises the steps: building a multi-physical field coupling simulation model, and simulating the internal current density and ion concentration distribution of a via hole; constructing a mapping relation between the current density and the side wall electroplating thickness based on a simulation result, and predicting the electroplating thickness; through thickness prediction feedback, a time sequence adjustable pulse current control strategy is designed, the pulse amplitude, the duty ratio and the on-off period are dynamically adjusted, and current distribution optimization is guided; the state of the electroplating process is sensed in combination with real-time monitoring and analysis of multi-source parameters of electrode potential, conductivity and fluid velocity; and based on the prediction model and the real-time parameters, adjusting the pulse waveform and the time sequence through closed-loop compensation. According to the method, the uniformity and controllability of the thickness of the electroplated layer on the side wall of the via hole can be remarkably improved.

The invention discloses an alternating control method and system for the running state of a composite electrolytic cell cluster, and the method comprises the steps: firstly converting electric power into direct current through a converter by employing a photovoltaic power generation and wind power generation system, transmitting the direct current into a system direct current bus, and carrying out the hydrogen production according to the load range, starting time, hydrogen production efficiency and other running characteristics of an electrolytic cell during the hydrogen production of the electrolytic cell cluster; and dividing the hydrogen production power of the electrolytic cell into a plurality of operation state intervals. According to the input power level of wind and light power generation, the total power is divided into different working conditions in a stepped mode, the operation state of the electrolytic cell is dynamically adjusted according to the current power requirement, electric power in a direct-current bus is flexibly allocated to an electrolytic cell cluster through a DC / DC converter, and cooperative power distribution between a proton exchange membrane electrolytic cell and an alkaline electrolytic cell is ensured. Based on the difference between advantages and disadvantages, a matching mechanism of the operation state and different electrolytic bath types is planned, and the load of each electrolytic bath is balanced through state alternation, so that the dynamic operation stability of the whole system is enhanced and the hydrogen production efficiency is improved.

The invention discloses a high aspect ratio micropore pulse abrupt change current copper filling method and system, and belongs to the technical field of printed circuit board manufacturing, and the method comprises the steps: obtaining micropore structure parameters, and generating a gradient pulse abrupt change current waveform; monitoring a deposition thickness parameter of the orifice of the micropore in real time, and when the deposition thickness parameter exceeds a preset thickness threshold value, activating the reverse peak clipping pulse group; generating a resonant composite sound field in the electroplating bath; detecting the concentration distribution of the additive in the micropores in real time, and generating a dynamic adjusting instruction according to the concentration distribution of the additive; the independent injection rate of the accelerator and the inhibitor is controlled according to the dynamic adjusting instruction; and based on the gradient pulse abrupt change current waveform, the resonant type composite sound field and the dynamic adjusting instruction, the copper filling process is executed till the target deposition parameters are achieved. According to the method, a multi-field coupling mechanism of gradient pulse dynamic peak clipping, composite sound field synergistic mass transfer and additive concentration real-time regulation and control is adopted, and defect-free high-reliability copper filling can be achieved.

The invention belongs to the crossing field of artificial intelligence and process control, particularly relates to an intelligent coupling control strategy for chlorine production through seawater electrolysis based on digital twinning, and aims to solve the problems of response lag, weak disturbance suppression and lack of electrode aging early warning in a traditional control method. According to the strategy, a high-fidelity digital twin fusing electrochemistry, fluid and thermodynamics is constructed, characteristics of current, temperature, impedance spectroscopy and the like are collected and fused at high frequency through a multi-source sensor, a state space model driven by a deep recurrent neural network is established, and current efficiency and electrode aging coupling evolution recognition is achieved; when salinization or flow mutation is detected, the twinborn body predicts and dynamically calibrates the current density and the voltage set value in advance, and the safety process window is synchronously scaled. According to the strategy, the chlorine gas yield fluctuation is reduced by 60%, the energy consumption standard deviation is reduced by 45%, the fault early warning is advanced by 2-5 hours, the fault-free operation time of the system is prolonged by 50%, and high-precision, self-adaptive and preventive intelligent control of the electrolysis process is realized.

The invention discloses a photovoltaic hydrogen production power supply topological structure based on MPPT and a control method, and relates to the technical field of renewable energy electrolysis hydrogen production, and the photovoltaic hydrogen production power supply topological structure mainly comprises a photovoltaic power module, a direct current bus, a water electrolysis hydrogen production unit, an energy storage unit and a control unit. The photovoltaic power modules are connected in parallel to the direct current bus through the independent DC / DC converter, and are matched with the automatic identification and scheduling functions of the control unit, the system operation strategy is automatically adjusted when the modules are newly added or faults exit, and plug-and-play, fault isolation and power reconstruction of the photovoltaic power modules can be supported; the duty ratio change step length of the DC / DC converter is limited when the current rapidly fluctuates due to the change of the photovoltaic output power, the current change rate of the electrolytic cell stack is effectively controlled, the service life protection of the electrolytic cell can be considered, the high modular access capability is achieved, multi-source collaborative scheduling is supported, and bus voltage stabilization and system current sharing optimization can be achieved.

The invention relates to the field of information automation management, and particularly discloses a water electrolysis efficiency dynamic scheduling method and system based on reinforcement learning. According to the method, a state space is constructed through multi-parameter dynamic perception, an improved depth deterministic strategy gradient (DDPG) algorithm is used for learning, a strategy is optimized by means of a self-adaptive exploration strategy and a multi-time scale learning mechanism, model migration and rapid starting are achieved, real-time feedback and closed-loop control are constructed, the water electrolysis efficiency is improved, and energy consumption is reduced. The method comprises a reward function and an exploration rate adjustment formula, so that the strategy optimization direction is accurate, and the exploration process is reasonable. The system comprises a data acquisition module, a processing module, a reinforcement learning module, a control execution module and a feedback monitoring module, and all the modules work cooperatively to improve the system performance.

The invention discloses a fuel cell coupled flow battery energy supply system and an operation control method thereof. The energy supply system comprises a basic energy supply unit, an energy storage peak regulation unit, a renewable energy power generation unit, an electrolytic hydrogen production unit, a hydrogen storage unit, a first-stage waste heat recycling unit, a second-stage waste heat recycling unit and a heat storage unit. The basic energy supply unit is used for providing a basic power load of the target building group; the energy storage peak regulation unit is used for providing fluctuation power load of the target building group; the first-stage waste heat recycling unit receives first-stage waste heat generated by power generation of the fuel cell and is used for indoor heating or indoor refrigeration. And the second-stage waste heat recycling unit directly receives the first-stage waste heat or second-stage waste heat from the first-stage waste heat recycling unit and is used for preheating the electrolyzed water and / or the hydrogen storage unit. By arranging the first-stage waste heat recycling unit and the second-stage waste heat recycling unit, waste heat is utilized in a multi-stage mode according to requirements, and the waste heat utilization rate is high.

The embodiment of the invention relates to the technical field of new energy, and provides a multi-physics field coupling optimization method of a co-electrolysis system and a related product, and the method comprises the following steps: obtaining a coupling mathematical model and a fractal porous medium permeability model in the operation process of the co-electrolysis system; based on physical field parameters output by the electrochemical kinetics calculation model, the non-Darcy seepage simulation model and the thermal stress field calculation model, corrected control parameters of the co-electrolysis system are obtained; the optimized permeability is obtained by adjusting fractal parameters of the fractal porous medium permeability model; the optimized permeability is provided for a non-Darcy seepage simulation model to update flow field pressure distribution; based on the physical field parameters updated in real time by the electrochemical kinetics calculation model, the non-Darcy seepage simulation model and the thermal stress field calculation model, performing multi-objective optimization on the coupling mathematical model to obtain an optimized coupling mathematical model. According to the embodiment of the invention, multi-physical field coupling of the co-electrolysis system can be optimized, and the method is suitable for complex working condition regulation.

The invention relates to the technical field of hydrogen production, in particular to an alkali supplementing system linkage control system based on a magnetic turning plate liquid level meter and a fault diagnosis method. Comprising a magnetic turning plate liquid level detection module installed on an alkali liquor storage tank and used for monitoring the liquid level of alkali liquor in real time and outputting a liquid level signal; the multi-mode signal processing unit is connected with the magnetic turning plate liquid level detection module and is used for carrying out feature extraction and noise suppression on the liquid level signal; the dynamic compensation control module is used for receiving the processed liquid level signal and generating a compensation control instruction according to the liquid level change rate and the alkali liquor temperature; the alkali supplementing valve linkage executing mechanism responds to the compensation control instruction and adjusts the flow output of an alkali supplementing pump; the anti-misjudgment core processor is integrated with three-level check logic, comprises time window trend analysis, multi-sensor data fusion and dynamic threshold self-adaptive adjustment, and is used for eliminating misjudgment interference of the liquid level signal; according to the scheme, the problem of signal distortion of an existing magnetic flap liquid level meter in a complex dynamic environment can be fundamentally solved.

The invention discloses a hybrid hydrogen production system coupled with photovoltaic renewable energy and an optimal configuration method, and relates to the technical field of new energy utilization and energy storage control, and the hybrid hydrogen production system comprises a photovoltaic power generation unit, an alkaline water electrolytic tank unit, a proton exchange membrane electrolytic tank unit, a hydrogen storage unit, a control unit and the like. Photovoltaic electric energy is directly supplied to the two types of electrolytic cell stacks through the direct current bus, a traditional DC-DC power converter is omitted, and loss in the energy transmission process is reduced; and through a dynamic electrolytic cell switching algorithm configured by the control unit, the input proportion and the number of operation units of the two stacks are changed and adjusted in real time, and the quick response capability and the long-term stability are both considered. The system can stably produce hydrogen under the condition of renewable energy fluctuation, can dynamically adapt to input power change, can realize maximum power point tracking control on the premise of not using extra power conversion equipment, and remarkably reduces initial investment cost and operation energy consumption while ensuring hydrogen production efficiency.

The invention relates to the technical field of micro-grid energy optimization, in particular to a distributed federal reinforcement learning-based hydrogen-containing micro-grid energy scheduling method, which comprises the steps of constructing a multi-region hydrogen-containing micro-grid system model, designing a state space, an action space and a reward function of an intelligent agent, constructing an Actor-Critic network and an experience pool, and completing environment initialization. The intelligent agent inputs the operation state of the equipment into the Actor network, updates the state of the equipment according to the output action, verifies the constraint and outputs a reward value; tuples are extracted from the experience pool to update local network parameters, and the exploration rate is updated regularly; when a federation interaction period is reached, exchanging Critic network parameters and updating federation parameters; and when the training round arrives, outputting an equipment operation plan, deploying the model to the local hydrogen-containing micro-grid in the island mode, and outputting an equipment output value. According to the scheme, strategy sharing and learning collaboration are realized through neighborhood collaboration and local communication among the regional intelligent agents, so that dependence on a central node is avoided.

The utility model discloses an electrolytic bath bipolar plate with micropore flow channels and an electrolytic bath, a micropore flow channel network is arranged on the side surface of an anode of a plate body, and the micropore flow channel network comprises a plurality of groups of micropore flow channel units which are arranged at intervals along the width direction of the plate body; each micropore flow channel unit comprises a main flow channel arranged in the length direction of the plate body and a plurality of first-stage branch flow channels arranged in the length direction of the main flow channel at intervals, a plurality of short branch flow channels are arranged on the two sides of each first-stage branch flow channel at intervals, and a jet hole is formed in the top of each short branch flow channel. The jet flow holes are formed in the direction perpendicular to the side surface of the anode, the length of the short branch runner is smaller than that of the first-stage branch runner, and the short branch runner is perpendicular to the first-stage branch runner. And the microporous flow channel network adopts a structure of combining tree fractal and T-shaped nodes, so that the mass transfer uniformity of water flow in the microporous flow channels can be improved, and the water-membrane contact efficiency is improved, thereby ensuring the hydrogen production efficiency of the bipolar plate.

Herein discussed is a hydrogen production system comprising a first reactor zone and a second reactor zone, wherein both reactor zones comprise an ionically conducting membrane, wherein the first zone is capable of reforming a hydrocarbon electrochemically and the second zone is capable of performing water gas shift reactions electrochemically, wherein the electrochemical reforming reactions involve the exchange of an ion through the membrane to oxidize the hydrocarbon and wherein electrochemical water gas shift reactions involve the exchange of an ion through the membrane and include forward water gas shift reactions, or reverse water gas shift reactions, or both. In an embodiment, the membrane is mixed conducting. In an embodiment, the membrane comprises an electronically conducting phase and an ionically conducting phase.

The present application relates to the technical field of catalysts and relates to a non-noble metal cathode hydrogen evolution catalyst for PEM water electrolysis and a use thereof. The present application provides a method for preparing a cathode hydrogen evolution catalyst. A nickel-molybdenum heteropoly acid having a specific structure is generated in situ on the surface of a porous carbon material carrier, and is used as a hydrogen evolution catalyst active component precursor, and an in-situ generated nickel-containing molybdenum sulfide active component is subjected to sulfidation treatment to prepare a non-noble-metal-supported cathode hydrogen evolution catalyst, wherein the in-situ generated nickel-containing molybdenum sulfide active component has a hydrogen adsorption free energy similar to that of Pt and catalytic hydrogen evolution activity, the dispersity is good, and the number of active sites is large, thereby reducing the costs of the catalyst; in addition, during the sulfidation treatment of the nickel-molybdenum heteropoly acid, nitrogen or phosphorus atoms in the carrier can be doped into the lattice of molybdenum disulfide, thereby reducing the hydrogen evolution Gibbs free energy of sulfur atoms on an MoS2 crystal basal surface, and more active sites are formed on a sulfur edge and a molybdenum edge, facilitating a hydrogen evolution reaction.

The invention discloses a solid oxide electrolysis reactor and system for producing hydrogen by coupling electrolytic water with combustible gas, the solid oxide electrolysis reactor comprises an anode end plate, an intermediate plate assembly and a cathode end plate which are connected in sequence, the intermediate plate assembly comprises a plurality of repetitive units, and the repetitive units are connected through connecting plates; the repeating unit comprises an electrolytic tank, the electrolytic tank comprises an anode, an electrolyte and a cathode, water vapor or a water vapor and hydrogen mixed gas is introduced into the cathode to generate an electrolyzed water reduction reaction to obtain hydrogen, and a combustible gas, water vapor and / or carbon dioxide mixed gas is introduced into the anode to generate hydrogen; and the combustible gas and oxygen ions which are generated by electrolyzing water at the cathode and are transmitted to the anode are subjected to deep oxidation reaction to obtain carbon dioxide. The cathode product gas is high-purity hydrogen or high-purity hydrogen obtained after condensation, the anode product gas is mixed gas of water vapor and carbon dioxide or mixed gas mainly comprising water vapor and carbon dioxide, and self-enriched high-concentration carbon dioxide can be obtained after condensation.

A process produces unsubstituted or at least monosubstituted α,ω-dicarboxylic acids or ketocarboxylic acids and unsubstituted or at least monosubstituted cycloalkanones by electrochemical oxidation of unsubstituted or at least monosubstituted, monounsaturated or poly unsaturated cycloalkenes and unsubstituted or at least monosubstituted, saturated cycloaliphatic hydrocarbons in the presence of an inorganic or organic nitrate salt in an electrolysis cell in a reaction medium in the presence of oxygen.

The invention relates to the technical field of iron wire electrogalvanizing passivation monitoring, and discloses an iron wire electrogalvanizing passivation intelligent monitoring system with self-adaptive coating thickness control, and the system comprises a coating parameter analysis module which can analyze the matching degree of the coating thickness and the passivation effect according to the equipment operation state information, and generates a parameter analysis parameter set; based on the parameter set, the passivation feature extraction module extracts a space feature value and a distribution variable quantity of a passivation film on the surface of the iron wire to generate an optimized parameter set; the thickness correlation modeling module analyzes the correlation between the coating thickness and the passivation characteristics and generates a dynamic regulation and control result; the abnormal intervention adjustment module extracts a real-time feature matching rate and the like to generate an intervention adjustment data set; and the dynamic feedback regulation and control module analyzes the linkage demand and generates a feedback data table. The system can monitor the iron wire electrogalvanizing passivation process in a self-adaptive mode, the coating thickness is accurately regulated and controlled, and the passivation effect stability and the production efficiency are improved.

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 an iridium dioxide catalyst and a preparation method and application thereof, the iridium dioxide catalyst is a material with a three-dimensional porous structure, and the three-dimensional porous structure comprises mesopores and macropores; the characteristic peak of rutile type iridium dioxide exists in the XRD spectrogram of the iridium dioxide catalyst. When the catalyst disclosed by the invention is used as an anode catalyst in water electrolysis hydrogen production, the loading capacity of the catalyst can be effectively reduced, the dispersity is improved, and meanwhile, the catalyst has better mass transfer effect and conductivity, higher catalytic activity and excellent stability.

The invention relates to the technical field of electrochemistry, in particular to a hypochlorous acid and hydrogen peroxide synergetic electrochemical device, a preparation method and application of the hypochlorous acid and hydrogen peroxide synergetic electrochemical device, and the hypochlorous acid and hydrogen peroxide synergetic electrochemical device comprises a shell, a liquid inlet and a liquid outlet. The shell is provided with an electrolyte cavity, a cathode reaction assembly located in the electrolyte cavity, an anode reaction assembly and a spoiler assembly used for increasing the liquid moving stroke, the cathode reaction assembly is used for generating hydrogen peroxide, the anode reaction assembly is used for generating hypochlorous acid, and the liquid inlet and the liquid outlet are located in the same side of the shell. The hydrogen peroxide and the hypochlorous acid can be directly generated in the electrolyte chamber through the cathode reaction assembly and the anode reaction assembly respectively, and mixing after respective preparation is not needed, so that the process is simplified, the cost is reduced, the synergism of the hypochlorous acid and the hydrogen peroxide is improved, the liquid moving stroke is increased through the spoiler assembly, and the efficiency is improved. The mixing effect is effectively improved, and the electrochemical reaction efficiency and uniformity are improved.

The invention relates to the technical field of synthesis gas preparation, in particular to a method and system for preparing synthesis gas through high-temperature co-electrolysis. The method comprises the following steps: introducing raw material gas into a solid oxide electrolysis reactor, and carrying out high-temperature electrolysis to obtain synthesis gas; wherein the raw material gas comprises mixed gas of carbon dioxide, superheated water vapor and hydrogen. Hydrogen is introduced into raw material gas on the fuel side to serve as protective gas, the activity of a catalytic electrode can be remarkably improved, oxidation of the catalytic electrode in the cathode reduction reaction process is effectively inhibited, and then the conversion rate of carbon dioxide is increased. Meanwhile, the functional layer is introduced between the electrolyte and the oxygen electrode in the SOEC electrolytic tank, so that further methanation of the synthesis gas can be effectively inhibited, and the selectivity of the synthesis gas is improved.

The invention provides a current collector, a pole piece, a secondary battery, an electric device, a copper foil and a preparation method of the copper foil. The current collector comprises a copper foil, the average particle size of crystal grains in the copper foil is 50-400 nm, and based on the total number of the crystal grains in the copper foil, the number ratio of the crystal grains of the nano twin crystals is larger than or equal to 60%. Under the combined action of the high-proportion nano twin crystal structure and the small grain size, the mechanical strength of the current collector is improved while the high plasticity of the current collector is maintained, and a material basis is provided for further improvement of the energy density and the safety of the battery.

The invention discloses an intelligent detection and dynamic supplement regulation and control system for electroplating bath solution components, and belongs to the technical field of electroplating. The system comprises an electroplating bath body, a detection module, a data processing and control module and a regulation and control module. The detection module is used for detecting the metal ion concentration, the pH value, the temperature and the additive concentration of the bath solution on line in real time through a spectrum sensor, an electrochemical sensor and a physical parameter sensor; the data processing and control module adopts a PID and machine learning fused intelligent regulation and control model, predicts the component change trend according to the detection data and the process parameters, and generates a dynamic regulation and control instruction; the regulation and control module quantitatively supplements target components through a high-precision metering pump, and the closed-loop feedback correction module is combined to ensure that the components of the bath solution are stabilized within a preset threshold range. Multi-parameter synchronous detection and accurate regulation and control are achieved, the quality stability of the plating layer is improved, raw material consumption and labor cost are reduced, and the method can be widely applied to industrial scenes such as metal surface treatment.