2863 results about "Electrochemical response" patented technology

The invention relates to a proton exchange membrane fuel cell (PEMFC) high current density performance prediction method, system, equipment and medium. The method comprises the following steps: establishing a multi-physical field coupling model which comprehensively considers complex processes such as electrochemical reaction, proton conduction, gas diffusion and heat transfer, and describing the change of each physical quantity by adopting a partial differential equation based on a basic physical law; performing grid division and numerical discretization on the proton exchange membrane fuel cell model; selecting model parameters, and verifying the model through experimental data of different working conditions; inputting actual working condition parameters into a model to predict performance, and analyzing a simulation result; using a convolutional neural network, a recurrent neural network and an auto-encoder to extract features from different types of data and fuse the features to form a comprehensive feature vector; a deep neural network prediction model is constructed, and a cross entropy loss function and an Adam optimizer are adopted for training; dropout, L1 and L2 regularization, k-fold cross validation and transfer learning are utilized to optimize the model, and the generalization ability is improved; the system, the equipment and the medium realize high current density performance prediction of the proton exchange membrane fuel cell (PEMFC) based on the method; the prediction precision is improved, the experiment cost is reduced, the internal mechanism can be deeply understood, and powerful support is provided for design optimization, operation management and fault diagnosis of the fuel cell.

The invention relates to the technical field of lithium battery safety monitoring, and discloses a lithium battery pack thermal runaway early warning system based on multi-mode sensing. The system comprises multi-source sensing data acquisition, thermal field feature tensor construction, thermal field reconstruction and thermal coupling association network generation. The multi-source sensing data acquisition module acquires multi-dimensional heterogeneous data from a temperature sensor, a voltage and current monitoring unit, a gas component detector and an acoustic emission sensor, and generates a standardized data bin through timestamp alignment and missing value compensation; the thermal field feature tensor construction module extracts features such as temperature gradient and electrochemical response from the data bin in a multi-scale manner, and constructs a tensor in combination with time continuity; the thermal field reconstruction module generates association diagrams according to the feature space-time distribution and fuses the association diagrams into a lithium battery pack three-dimensional thermal field reconstruction map; and the thermal coupling association network generation module extracts a feature vector cluster, calculates an entropy weight value, and generates a network according to a high-entropy node space adjacency relationship. According to the system, multi-dimensional data fusion is realized, and the thermal runaway evolution law can be comprehensively described.

The invention relates to the technical field of sewage discharge treatment, and discloses a sewage low-carbon treatment system based on electrochemistry and biochar, which comprises a deep treatment filter tank, an electrochemical nitrogen and phosphorus removal device, a biochar adsorption and filtration module, an intelligent control and operation and maintenance system, a slow-release agent regulation and control module and a low-carbon and resource recycling system, the advanced treatment filter tank is used for filtering sewage impurities and particles, adsorbing and removing organic matters, reducing the content of nitrogen and phosphorus nutrient substances and adapting to the change of water quality and water quantity; the electrochemical nitrogen and phosphorus removal device is used for carrying out electrochemical reaction to remove nitrate, phosphate and fluorine ions. According to the invention, the electrochemical active reaction is combined with charcoal adsorption filtration, so that the technology greatly improves the sewage treatment efficiency, especially shows a higher removal rate when treating complex pollutants, can meet higher water quality standard requirements, and effectively overcomes the difficulty that the traditional treatment technology is difficult to remove multi-element pollutants.

The invention relates to a proton exchange membrane fuel cell health state and electrochemical performance rapid online prediction method, and belongs to the technical field of cell life prediction, and the method comprises the following steps: S1, employing a DRT analysis method to analyze a Nyquist diagram of a galvanic pile, and calculating the impedance of each reaction process in the galvanic pile; s2, according to correlation analysis of the resistance and the voltage, establishing a relationship between ECM recession model parameters and the voltage, and estimating the health state of the fuel cell; s3, obtaining each reaction condition in the galvanic pile by using data from continuous online monitoring; the voltage of the galvanic pile is predicted through a hybrid neural network model, all reaction resistance values are obtained through extrapolation, and the electrochemical reaction related process in the galvanic pile is known in advance; and carrying out on-line estimation on the health state of the fuel cell.

An electrochemical reactor includes an anode, a cathode, and a membrane between and in contact with the anode and the cathode, wherein the anode or the cathode forms a fluid passage having an inlet and an outlet, wherein the surface area of the fluid passage in contact with the anode or cathode is at least 25 times of the combined cross-sectional area of the inlet and the outlet. Further discussed herein is an electrochemical reactor comprising an anode, a cathode, and a membrane between and in contact with the anode and the cathode, wherein the anode or the cathode forms a fluid passage having an inlet and an outlet, wherein a tortuosity of the fluid passage is no less than 10, wherein tortuosity is the ratio of fluid flow path length to the straight distance between the inlet and the outlet.

A reactor assembly includes a multiplicity of electrochemical reactors, wherein each of the electrochemical reactors comprises an anode, a cathode, and a membrane between and in contact with the anode and the cathode, wherein the anode or the cathode forms a fluid passage having an inlet and an outlet, wherein the surface area of the fluid passage in contact with the anode or cathode is at least 25 times of the combined cross-sectional area of the inlet and the outlet; wherein the minimum distance between the reactors is no greater than 2 cm; and wherein the reactors have no interconnects and no direct contact with one another.

The invention relates to a digital twinning energy storage management method and system, and the method comprises the steps: firstly obtaining the historical operation data and working environment data of a battery unit, analyzing the key feature correlation of the data, and determining the influence weight of the data on the efficiency of the battery unit; a correlation model of the operation state and efficiency of the battery unit is constructed based on the key features, and a prediction formula of the efficiency of the battery unit is obtained; meanwhile, a mathematical model of the electrochemical reaction process in the battery unit is established, and the efficiency change trend under different strategies is simulated; in addition, a mapping relation between electrochemical reaction and a working environment is established, and the influence of the working environment on the performance of the battery unit is quantified; on the basis, a control strategy of the battery unit management system is optimized, and a charging and discharging strategy combination under different conditions is determined; and finally, applying the optimization strategy to an actual system, and dynamically adjusting a charging and discharging strategy so as to improve the operation efficiency of the battery unit, prolong the service life of the battery unit, enhance the safety and provide a scientific basis for efficient management of an energy storage system.

Herein discussed is a method of producing carbon monoxide comprising: (a) providing an electrochemical reactor having an anode, a cathode, and a membrane between the anode and the cathode; (b) introducing a first stream to the anode, wherein the first stream comprises a fuel; and (c) introducing a second stream to the cathode, wherein the second stream comprises carbon dioxide, and wherein carbon monoxide is generated from carbon dioxide electrochemically; wherein the reactor comprises no interconnect and no current collector; wherein the reactor generates no electricity and receives no electricity; and wherein the reactor is operated at a temperature no higher than 750° C. In an embodiment, the reactor is operated at a temperature no higher than 700° C. or no higher than 650° C.

The invention relates to the technical field of water quality detection, and discloses a water quality detection method and device based on an electrochemical sensor. The method comprises the following steps: deploying a multi-depth electrochemical sensor array in a target water body according to different water depth positions and carrying out real-time monitoring to obtain electrochemical response signal data; performing electrochemical fingerprint feature recognition on the electrochemical response signal data to obtain electrochemical feature vectors of water sample pollutants at different water depth positions; carrying out pollutant analysis through a hierarchical electrochemical transfer-attention network model to obtain types and concentrations of heavy metal ions and organic pollutants in water samples at different water depth positions; and executing Kriging space interpolation and environmental factor correction to generate a three-dimensional pollutant distribution dynamic map of the target water body. According to the method, high-precision identification of low-concentration multi-component coexisting pollutants is realized, and visual analysis of spatial distribution characteristics and migration rules of water pollutants is realized.

The invention discloses an internal circulation rotating impinging stream electro-catalysis device and method for treating organic wastewater, and belongs to the technical field of sewage treatment equipment. The upper part of an inner cavity of an electrochemical reactor of the device is an electrochemical reaction area, and the lower part is a rotational flow generation area; the electrochemical reaction area comprises an outer ring anode, an annular net-shaped cathode, an inner ring anode and a central fixing shaft which are sequentially and coaxially sleeved from outside to inside, and the rotational flow generation area comprises an inner spiral generator and an outer spiral generator which are arranged on a spiral central shaft in a sleeving manner. The impinging stream technology and the electro-catalysis technology are combined, internal circulation impinging stream efficient treatment on organic wastewater is achieved through the rotational flow generation area, the device has the advantages of being high in treatment efficiency, small in occupied space, low in operation energy consumption and the like, the problem that bubbles adhere to the surface of an electrode can be solved, strong turbulent flow is formed through impinging, reaction dead zones are reduced, and the service life of the device is prolonged. Mass transfer in the electrochemical degradation device is enhanced, and the purposes of automatic operation and efficient degradation are achieved.

The invention discloses an electrochemical descaling process ion concentration dynamic balance control method and system, and relates to the field of water treatment of a circulating cooling water system.The method comprises the steps that a multi-parameter sensor is deployed to collect calcium and magnesium ion concentration, pH, conductivity, flow and other multi-dimensional data in real time, and an electrochemical deposition dynamic model is combined; dynamically evaluating the time sequence change trend of the ion concentration; according to the method, an ion concentration dynamic balance control algorithm is constructed, and the current density adjusting quantity is calculated by synthesizing ion concentration deviation and historical integral deviation, so that the target current density of the electrochemical reactor is adaptively adjusted, and the system is always maintained in a target concentration interval under different inlet water quality and load conditions; precise electrolysis control is achieved by periodically adjusting power output, and the descaling efficiency and energy consumption are effectively balanced. Therefore, the self-adaptive adjustment of the electrochemical descaling process is realized, and the stability and the self-adaptability of the descaling process are remarkably improved.

The invention discloses a preparation method of antibacterial warm-keeping graphene quantum dot cloud velvet, and relates to the technical field of cloud velvet. Single-layer graphene is prepared through a chemical method, then single-layer graphene quantum dots are prepared through an electrochemical reaction, the size reaches the nanometer level, the single-layer structure is sharper, and the sterilization effect can be improved; modification enables the surface to be rich in carboxyl and to be attached to cellulose to improve the agglomeration problem; secondly, breaking intermolecular hydrogen bonds of cellulose macromolecules by utilizing the strong action of ball milling and a polar solvent rich in hydroxyl and combining ultrasonic waves; then, the cellulose is combined with hydroxyl cardanol with a side chain containing a hydroxyl group, and cooperates with graphene quantum dots attached to the cellulose for efficient catalysis to generate active oxygen, so that the sterilization effect is achieved; then the modified nanocellulose is prepared into aerogel, and the aerogel is added into polyester as antibacterial master batch to prepare the cloud velvet, so that the warm keeping effect is improved. The cloud velvet prepared by the invention has antibacterial and warm-keeping effects.

The present application provides a negative electrode sheet for a lithium metal battery, an electrode assembly, a lithium metal battery, and an electronic device. The negative electrode sheet comprises a carbon-based current collector, and a first metal lithium-replenishing layer and a second metal lithium-replenishing layer which are respectively provided on two sides of the carbon-based current collector. Compared with a conventional metal negative electrode sheet, the carbon-based current collector comprised in the negative electrode sheet can significantly reduce the weight of the negative electrode sheet, thereby significantly improving the gravimetric energy density of the lithium metal battery. The first metal lithium-replenishing layer and the second metal lithium-replenishing layer are respectively provided on the two sides of the carbon-based current collector; when tabs are welded to the negative electrode sheet, due to the existence of the carbon-based current collector, the negative electrode sheet will not be burned through, avoiding non-uniform current distribution between the negative electrode sheet and other parts of the battery, avoiding slowing down the electrochemical reaction rate in certain areas, avoiding reduction of the capacity of the lithium metal battery.

The invention discloses an oxidation-reduction free radical synergistic electrochemical wastewater treatment method and system. The method comprises the following steps: collecting pollutant concentration in wastewater and electrochemical reactor state parameters in real time through a sensor array; analyzing a pollutant change trend based on the data, and determining an optimization target value of an active substance generation proportion in combination with historical data; the trained classification model is used for classifying the water body state, and whether dynamic adjustment is needed or not is judged; if necessary, calculating the state parameter correction according to the deviation between the target value and the actual value, and adjusting the operation of the reactor; and monitoring the adjusted active substance proportion and degradation efficiency, and dynamically updating the optimization target according to the adjusted active substance proportion and degradation efficiency and the pollutant trend to realize continuous self-adaptive regulation and control. The intelligent closed-loop control of the reaction parameters is realized, the stability of the treatment efficiency is obviously improved, and the energy consumption and the risk of secondary pollution are effectively reduced.

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 provides a sodium ferric phosphate pyrophosphate positive electrode material and a preparation method thereof, and a sodium ion battery, the molecular formula of the sodium ferric phosphate pyrophosphate positive electrode material is Na4Fe3 (PO4) 2P2O7 / D1D2, D1 is a first conductive agent, the first conductive agent is a metal oxide, the second conductive agent is phosphate, D2 is a second conductive agent, and D1D2 is a metal oxide. And the molar ratio of the sodium element to the iron element to the phosphorus element to the first conductive agent to the second conductive agent in the ferric sodium phosphate pyrophosphate positive electrode material is (4.0 to 4.1) to (2.8 to 3.0) to (3.0 to 3.1) to (0.001 to 0.0.005) to (0.05 to 0.10). According to the embodiment of the invention, the first conductive agent increases the lattice volume, so that conduction channels of Na < + > and doped ions are increased, and higher electronic conductivity is achieved; and the phosphate of the second conductive agent forms coating points on the surface layers of the sodium iron phosphate particles, so that the interfacial effect in the electrochemical reaction process of the sodium iron phosphate pyrophosphate positive electrode material is slowed down, the electrochemical performance of the sodium iron phosphate pyrophosphate positive electrode material is further improved, and the electrochemical specific capacity is improved.

An electrochemical reaction device 10 comprises: a first electrode 11; a second electrode 12; a first electrolysis unit 21 having the first electrode 11; a reaction unit 31; and a first connection path 41 connecting the first electrolysis unit 21 and the reaction unit 31. The first electrode 11 includes a first catalyst that promotes a reaction for reducing carbon dioxide to a first reduction product, and the second electrode 12 oxidizes a reduction product A of an oxidation-reduction substance to an oxide B. The first connection path 41 causes the first reduction product generated by the first electrolysis unit 21 to flow out to the reaction unit 31. The reaction unit 31 has a second catalyst for generating an organic substance by the first reduction product and the oxide B.

The invention relates to a wastewater treatment optimization method based on electrochemical reaction. Comprising the following steps: monitoring the concentration of pollutants in wastewater in real time by configuring various sensors including a heavy metal sensor, a chemical oxygen demand sensor and an ammonia nitrogen sensor; sensor data is transmitted to the central control unit of the processing system through the wireless communication module; constructing a reaction kinetic model according to the type and concentration of pollutants in the wastewater and the properties of electrochemical reaction; an optimization target is set, the pollutant removal rate is calculated to be maximized, and energy consumption and consumables including abrasion of electrodes and use of chemical reagents are reduced; dynamically adjusting parameters of electrochemical reaction by adopting a self-adaptive optimization algorithm; the parameters comprise current density, voltage of an electrolytic cell, reaction time and temperature; in the wastewater treatment process, the sensor feeds back the pollutant concentration of the wastewater and the voltage and current density information in the electrolytic bath in real time; and the data is transmitted to a central unit of the control system through the data transmission module.

The invention provides a reinforcement corrosion electrochemical parameter inversion method based on LSTM (Long Short Term Memory) time sequence prediction, which comprises the following steps: S1, acquiring electrochemical time sequence data in a reinforcement corrosion process through an electrochemical workstation to form an original reinforcement corrosion electrochemical time sequence data set; s2, preprocessing is carried out to obtain a training set, a verification set, a test set and normalization coefficients of all parameters; s3, constructing and training an LSTM time sequence prediction model; s4, constructing and calibrating a steel bar corrosion electrochemical parameter forward modeling model; and S5, constructing an inversion framework fusing a particle swarm optimization algorithm, a simulated annealing algorithm and an Adam optimization algorithm, forming closed-loop cooperation by the particle swarm optimization algorithm, the simulated annealing algorithm and the Adam optimization algorithm so as to minimize an error between a target electrochemical response parameter and a theoretical electrochemical response parameter, and outputting an inversion result. According to the method, through organic combination of time sequence prediction and multi-algorithm cooperation, the problems that a traditional inversion method is low in precision and poor in stability are solved, and a reliable technical means is provided for reinforced concrete structure health monitoring.

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 discloses a diaphragm and a preparation method thereof, and a lithium battery, the diaphragm comprises a base membrane, and also comprises an MXene coating arranged on one side of the base membrane along the thickness direction, and an alumina coating arranged on the other side of the base membrane along the thickness direction; wherein the MXene coating layer comprises MXene modified by metal single atoms, and the aluminum oxide coating layer comprises aluminum oxide. According to the diaphragm and the metal monatomic modified MXene, the transfer speed of lithium ions in the charging and discharging process of a lithium battery can be increased, so that the electrochemical reaction speed in the charging and discharging process is increased, the requirement of high-rate charging and discharging is met, and the cycle performance of the battery is improved; aluminum oxide can enhance the mechanical strength of the diaphragm and prevent negative lithium dendrites from puncturing the diaphragm, so that thermal runaway is avoided, and the safety of the battery is improved.

The present invention relates to a carbon structure, which can stably support a high content of sulfur in pores and has excellent electrical conductivity properties, wherein the carbon structure is a polyhedron, of which the center on at least one side is concave, and is a highly graphitized nitrogen-doped porous carbon structure. Therefore, the stability of lithium-sulfur batteries can be improved by effectively suppressing a s shuttle phenomenon occurring during an electrochemical reaction of lithium-sulfur batteries containing, as a cathode active material, the carbon structure supporting sulfur as well as minimizing the volume change resulting from sulfur and reduced lithium sulfide.

The invention relates to a high-load composite iodine positive electrode based on an MXene electrochemical reaction regulator as well as a preparation method and application of the high-load composite iodine positive electrode. The high-loading-capacity composite iodine positive electrode comprises a porous self-supporting composite electrode film and an iodine active substance, wherein the porous self-supporting composite electrode film is formed by wrapping a carbon material with an MXene / cellulose network formed by mixing an MXene nanosheet, the carbon material and cellulose, and the iodine active substance is loaded on the porous self-supporting composite electrode film; wherein the iodine active substance comprises I <-> ions and I2; the MXene nanosheet is at least one of Ti < 3 > C < 2 > T < x >, Nb < 2 > T < x >, Mo < 2 > T < x > and V < 2 > T < x >.

The invention discloses a lithium ion battery expansion modeling method coupling gas generation and mechanical deformation, and relates to the technical field of lithium ion battery model construction and simulation methods.The method comprises the following specific steps that 1, a lithium ion battery module is selected, and battery electrochemical parameters, material physical property parameters and battery geometric characteristic parameters are obtained; (2) establishing a three-dimensional geometric model and dividing grids according to the initial parameters and the simulated working conditions, and setting boundary conditions; (3) solving an electrochemical reaction model and a pressure change model in the battery, and calculating the internal pressure of the battery; (4) taking the calculated battery temperature and internal pressure parameters as dynamic boundary conditions, and applying the dynamic boundary conditions to the physical boundary of the inner surface of the battery shell; and (5) solving the finite element-based mechanical model to obtain the stress and strain of the battery, and simulating the expansion behavior of the battery in thermal runaway. According to the method, the expansion behavior of the lithium ion battery caused by internal pressure rise in the thermal runaway process can be calculated, meanwhile, the thermal runaway key parameters can be accurately predicted, and a basis can be provided for safety early warning design of a lithium ion battery module and an energy storage system.

The invention discloses a method for producing ethanol through electrocatalytic reduction of carbon dioxide and membrane coupling, and belongs to the technical field of electrochemical reduction and membrane separation coupling. After the alcohol-permeable membrane is arranged in the electrolytic tank, the selectivity of the alcohol-permeable membrane is utilized to separate the liquid-phase product ethanol and remove the product, so that the chemical equilibrium can be promoted to proceed forwards, the electrochemical reaction is promoted, the selectivity and the overall conversion efficiency of the reaction are improved, and the high-purity ethanol can be obtained; the device for preparing ethanol through electroreduction is scientific and reasonable in structure, safe and convenient to use, low in cost and short in treatment flow, and the selectivity of ethanol in the reaction process and the collection process is improved.

The invention relates to a liquid lithium battery simulation method and device considering stress action and a storage medium in the technical field of lithium battery simulation, and the method comprises the following steps: constructing a mechanical model for describing the relationship between the deformation of electrode particles and environmental stress in an electrochemical reaction process, including the acting force of an electrolyte on the electrode particles; constructing an electrochemical model for describing the diffusion process of lithium ions in the electrode particles; coupling the electrochemical model with the mechanical model to obtain an electrochemical-mechanical coupling model; and simulating the performance parameters of the battery based on the electrochemical-force coupling model. The liquid electrolyte binding effect is introduced to reflect the stress change of the electrode material in the circulation process, and the electrochemical reaction and mechanical behaviors are coupled to simulate the concentration change of lithium ions at all positions in the electrode particles in the charging and discharging process, so that the model can accurately predict the performance and the service life of the battery.

The invention provides a flow battery composite electrode, a preparation method thereof and a flow battery. The preparation method comprises the following steps: placing a pretreated carbonaceous substrate in a mixed solution of a surfactant, an electrolyte and a transition metal salt, growing a metal oxide nanosheet array on the surface of the pretreated carbonaceous substrate by using an electrochemical deposition process, washing, drying and roasting to obtain the flow battery composite electrode, wherein the feeding ratio of the surfactant to the transition metal salt is (1-2) g: (0.02-0.2) mol. The invention also provides the flow battery composite electrode prepared by the preparation method and a flow battery prepared from the electrode. According to the preparation method, the electrochemical reaction activity of the electrode in the all-vanadium redox flow battery can be optimized by regulating and controlling the chemical composition and the microstructure of the catalyst loaded on the surface of the carbon fiber.

The invention relates to the technical field of batteries, in particular to an all-vanadium redox flow battery performance prediction method based on parameter compensation. The method comprises the following steps: firstly, according to structure parameters of an all-vanadium redox flow battery in an energy storage power station, constructing a multi-physical field coupling simulation model comprising electrochemical reaction, ion transmission, fluid dynamics and thermal management; operating the model according to the operating parameters within a preset operating time period, and obtaining galvanic pile performance index data; carrying out sensitivity analysis on the structural parameters by adopting an orthogonal test method, and obtaining a regression coefficient through multiple linear regression; sorting the regression coefficients, selecting a target regression coefficient, establishing a parameter mapping relation according to a performance index fluctuation value, and performing compensation when the fluctuation value change exceeds a threshold value; and finally, determining a weight factor based on an analytic hierarchy process and an entropy weight method, and screening key structure parameters. According to the method, the limitations of fixed parameters and single environment in a traditional method are overcome, and accurate prediction of the performance of the all-vanadium redox flow battery in different operating environments is realized.

The invention discloses a lithium battery electrolyte formula prediction platform based on a large language model, and belongs to the technical field of automatic prediction of battery materials, the lithium battery electrolyte formula prediction platform comprises a data acquisition module used for acquiring property parameters of a target electrolyte; the formula prediction module is used for outputting an electrolyte formula and a theoretical viscosity value based on the first large language model, and storing the electrolyte formula into an electrolyte database; the track simulation module is used for pre-constructing a battery model and simulating an electrochemical reaction kinetic track of an electrolyte and a battery material; the formula property calculation module is used for calculating the system property of the electrolyte formula; and the formula output module is used for outputting the optimized electrolyte formula based on the second large language model according to the electrochemical reaction kinetic track of the electrolyte and the battery material and the system property of the electrolyte formula. According to the invention, the problems of difficult deployment, difficult use and inaccurate prediction result in electrolyte material research and development in the prior art are solved.

The invention belongs to the field of fuel cell catalyst preparation, and particularly relates to a defect-rich nitrogen-doped carbon-loaded platinum-cobalt intermetallic compound as well as a preparation method and application thereof. The invention provides a simple fused salt synthesis method capable of realizing large-scale preparation, and the fused salt synthesis method is used for preparing a novel high-activity PtCo intermetallic compound catalyst. The preparation method comprises the following steps: carrying out high-temperature calcination on two-dimensional leaf-shaped ZIF serving as a precursor under the action of KCl and NH4Cl mixed molten salt to obtain a nitrogen-doped carbon material, carrying out NH3 heat treatment on the nitrogen-doped carbon material to remove pyrrole nitrogen and pyridine nitrogen in the nitrogen-doped carbon material so as to form topological defect active sites, and preparing the nitrogen-doped carbon material. And finally, forming the defect-rich nitrogen-doped carbon-loaded PtCo intermetallic compound catalyst through a gas phase reduction method. A platinum-cobalt intermetallic compound can be anchored by topological defects, agglomeration of particles in the high-temperature synthesis process can be inhibited, the activity is improved, agglomeration and dissolution of the particles in the electrochemical reaction process are inhibited, and the durability is improved.