1839 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 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 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 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 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 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 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 discloses a silicon-carbon material as well as a preparation method and application thereof. The silicon-carbon material comprises nitrogen-doped porous carbon and an amorphous carbon layer coating the nitrogen-doped porous carbon, and pores of the nitrogen-doped porous carbon are filled with boron-doped nano silicon. The nitrogen-doped porous carbon improves the affinity of silane gas while improving the electron conductivity, a high-conductivity and high-density silicon-carbon composite structure is realized, the boron-doped nano silicon and the nitrogen-doped porous carbon form a nano heterojunction site, and the migration rate of lithium ions is improved, so that electrochemical reaction kinetics is improved, and the electrochemical performance of the lithium ion battery is improved. The material has the advantages of high rate and long cycle performance.

The invention belongs to the technical field of lithium batteries, and particularly relates to a lithium-rich manganese-based positive electrode material and a preparation method and application thereof. The preparation method comprises the following steps: mixing a metal salt solution, a precipitator and a complexing agent, and carrying out coprecipitation reaction on an obtained coprecipitation reaction precursor solution to obtain a lithium-rich manganese-based precursor; the metal salt solution comprises a manganese element, a cobalt element and a nickel element; and mixing the lithium-rich manganese-based precursor, a lithium source, an auxiliary agent and a dispersing agent, and calcining to obtain the lithium-rich manganese-based positive electrode material, the auxiliary agent comprises a nitrogen source or a nitrogen source and a carbon source. The first discharge specific capacity, the rate capability and the cycling stability of the lithium-rich manganese-based positive electrode material can be improved, and the problems of capacity fading, discharge voltage drop and dynamic delay in an electrochemical reaction process are solved.

The invention discloses a method for evaluating the ink performance of a proton exchange membrane fuel cell, and relates to the technical field of proton exchange membrane fuel cell detection. The method mainly adopts an electrochemical workstation to perform performance test on the dispersed slurry, simulates stress conditions under specific working conditions, effectively distinguishes electrochemical active area attenuation caused by ionomer agglomeration and platinum particle separation in the slurry in combination with electrochemical response differences, and is relatively high in test result precision, short in period and high in accuracy. And the slurry development marginal cost can be obviously reduced.

The invention relates to an electrochemical cleaning method for removing organic matters on the surface of a silicon carbide wafer, which comprises the following steps of: immersing the silicon carbide wafer with the polluted surface into electrolyte containing bivalent and / or trivalent ferric salt, applying voltage or current between a cathode material and an anode material, and carrying out electrochemical reaction to remove the organic matters on the surface of the silicon carbide wafer. The surface of the silicon carbide wafer is subjected to organic matter removal. According to the method, an electrochemical oxidation method technology is adopted, the strong oxidation effect of hydroxyl free radicals is utilized, organic residues on the surface of the silicon carbide wafer are oxidized and decomposed into short-chain organic matter, water, carbon dioxide and other products, and the purpose of removing the organic residues is achieved. The method provided by the invention is simple and efficient, can quickly remove organic pollutant residues on the surface of the silicon carbide wafer, does not use high-concentration chemicals and organic component cleaning agents which are difficult to degrade in the cleaning process, is safe and reliable to operate, reduces the consumption of the chemicals, avoids secondary pollution, and is more environment-friendly.

The open type in-situ electrochemical reaction tank comprises a reaction tank main body and a connecting assembly, an open type electrolyte cavity is arranged above the reaction tank main body, and a base for mounting a working electrode is arranged below the reaction tank main body; a through objective lens hole is formed between the electrolyte cavity and the base, and a reference electrode jack is formed in the side wall of the electrolyte cavity; a working electrode lead hole is formed in the side wall of the base, and an O-shaped gasket groove, a silica gel gasket groove and a working electrode fixing screw hole are formed in the bottom of the base. The reaction tank disclosed by the invention can realize in-situ electrochemical spectrum detection by connecting an electrochemical workstation, is small in volume, simple in mounting method, convenient to clean, high in quality of collected spectrum signals, acid-base-resistant and wide in application range, not only can be adaptive to upright and inverted micro-Raman spectrum systems, but also can ensure the accuracy of electrochemical spectrum test, and is suitable for large-scale popularization and application. The reaction mechanism can be deeply understood, the reaction conditions can be optimized, and the research quality can be improved.

The invention provides a preparation method of a Basa wood biomass porous carbon material and application of the Basa wood biomass porous carbon material in an aqueous zinc-benzoquinone battery, Basa wood is used as a raw material, under the action of a pore-forming agent and a nitrogen-containing organic matter, the Basa wood biomass porous carbon is obtained through a pre-carbonization and carbonization two-step process, acid pickling and water washing. The biomass porous carbon obtained by the invention has relatively high specific surface area and proper pore size distribution, has relatively good p-benzoquinone loading capacity, and is beneficial to transmission and storage of ions and electrochemical reaction. The aqueous zinc-benzoquinone battery prepared from the porous carbon material obtained by the invention has relatively high specific capacity and excellent cycle performance. The raw materials are cheap, easy to obtain and environmentally friendly, and the preparation process is simple, convenient to operate and extremely suitable for large-scale production and has huge potential application value.

The invention discloses an electric vehicle BMS battery state accurate monitoring system, and relates to the technical field of battery state monitoring, and the method comprises the steps: obtaining a multi-dimensional battery operation parameter set; inputting the multi-dimensional battery operation parameter set into a preset multi-physical field coupling model, and extracting a battery state correlation characteristic quantity according to electrochemical reaction characteristics and a heat conduction rule; calculating to obtain SOC, SOH and SOE initial parameters of the battery; the estimation deviation of battery aging is eliminated, and calibrated core parameters are obtained; identifying a fault type and a corresponding risk level; and synchronizing the calibrated core parameters, fault information and risk early warning signals to the vehicle-mounted terminal and the cloud platform in real time. According to the invention, a multi-physics field coupling modeling and estimation system is constructed, aging and temperature dual calibration of SOC and SOE is realized through SOH derivation characteristics, fault traceability and a double-end synchronization mechanism are linked, and accurate monitoring of the battery state under a complex working condition is achieved through modular collaborative design.

A lithium ion battery polycrystal / single crystal positive electrode material multi-physics field coupling modeling and failure analysis method comprises the steps that a three-dimensional positive electrode particle structure model is constructed, a polycrystal structure is generated by randomly filling spherical boundaries with non-overlapped spherical crystal grains, and single crystals are complete spheres; importing the model into a finite element simulation platform, and setting a multi-physics field coupling interface; establishing a diffusion, migration and electrochemical reaction kinetic model; establishing a lithium concentration-strain-stress coupling relation and solving the lithium concentration-strain-stress coupling relation; setting a failure criterion based on stress distribution to identify a damaged area; and outputting a simulation result and carrying out structure-performance correlation analysis. The method can reveal the evolution behavior difference of the polycrystalline positive electrode and the monocrystalline positive electrode in the electrochemical-mechanical process, provides reliable theoretical and simulation support for electrode material design, optimization and life evaluation, and provides powerful technical support for optimization design of the high-performance lithium ion battery positive electrode material.

The invention belongs to the technical field of lithium ion batteries, and particularly discloses a nanoscale Li2C2O4 positive electrode lithium supplement agent and a preparation method and application thereof. The preparation method comprises the following steps: mixing Li2C2O4 with a solvent, and uniformly stirring to obtain a mixed solution A; adding a conductive skeleton into the mixed solution A, and uniformly stirring to obtain a mixed solution B; adding a dispersing agent into the mixed solution B, and uniformly stirring to obtain a mixed solution C; and transferring the mixed solution C into a hydrothermal reaction kettle, heating to a certain temperature, preserving heat for 2 hours, cooling to room temperature, carrying out suction filtration, and drying to obtain the nanoscale Li2C2O4 positive electrode lithium supplement agent. The invention discloses a nanoscale Li2C2O4 positive electrode lithium supplement agent and a preparation method and application thereof.The nanoscale Li2C2O4 positive electrode lithium supplement agent is low in decomposition voltage platform, high in capacity release rate, good in air stability and capable of providing sufficient reaction sites in the electrochemical reaction process and shortening the ion transmission path, and the method is simple in technological process, low in cost and suitable for industrial production. And the method has remarkable industrial benefits.

The invention discloses a high-salt-corrosion-resistant concrete pouring material and a preparation method thereof, and relates to the technical field of high-salt-corrosion-resistant concrete, and the high-salt-corrosion-resistant concrete pouring material comprises the following components in parts by weight: 5-10 parts of modified charcoal, 1.5-3 parts of a corrosion inhibitor, 320-360 parts of cement, 650-700 parts of river sand, 20-30 parts of silica fume, 0.3-0.6 part of super absorbent resin, and 0.2-0.8 part of a water reducing agent. According to the high-salt-corrosion-resistant concrete pouring material and the preparation method thereof, a protective film is formed on the surface of a reinforcing steel bar through the corrosion inhibitor, the anodic oxidation reaction is inhibited, the reinforcing steel bar is prevented from being corroded, eugenol releases corrosion inhibition molecules, a hydrophobic protective film is formed on the surface of the reinforcing steel bar, and electrochemical corrosion is inhibited; meanwhile, through the synergistic effect of a physical barrier and chemical passivation, the calcium-aluminum salt-eugenol composite corrosion inhibitor not only can block a corrosion path through physical film formation, but also can inhibit electrochemical reaction through chemical adsorption, so that the corrosion inhibition efficiency is improved.

The invention discloses a low-temperature exposed lithium battery aging damage diagnosis method based on electrochemical nondestructive characterization, which comprises the following steps: firstly, acquiring electrochemical response data of a to-be-tested battery through electrochemical impedance spectroscopy (EIS) test and incremental capacity analysis (ICA); secondly, key characteristic parameters capable of representing ohmic internal resistance, charge transfer resistance and electric double-layer capacitance of the battery and phase change peak position, peak area, half-peak width and the like are extracted; and then, training a joint prediction model based on machine learning by using the extracted multi-dimensional features to judge whether the to-be-detected battery is subjected to over-low-temperature exposure or not and judge the current aging damage degree of the to-be-detected battery. According to the method, unique aging paths introduced by normal aging and low-temperature exposure can be effectively distinguished through a nondestructive testing means, accurate'traceability 'of historical damage of the battery and quantitative evaluation of the current state are achieved, and reliable technical support is provided for intelligent decision making of a battery management system (BMS), battery safety early warning and echelon utilization.

The invention discloses a lithium battery residual life prediction method and system based on an electrochemical model, and relates to the field of lithium ion battery life prediction, and the method comprises the steps: constructing an initial electrochemical model according to battery powder attribute parameters, internal structure parameters and empirical parameters of a lithium ion battery; the method comprises the following steps: respectively taking new lithium ion batteries of the same model and old batteries at different aging stages as experimental objects, obtaining respective corresponding battery aging characteristic data through experimental measurement and electrochemical model simulation, and then taking the minimum value of the difference between the measurement data and the simulation data as an optimization target; empirical parameters and battery recession parameters in the initial electrochemical model are identified through a simulated annealing intelligent optimization algorithm; and according to the identified empirical parameters and the battery recession parameters, constructing a lithium ion battery full-life-cycle electrochemical model, performing working condition analog simulation on the lithium ion battery full-life-cycle electrochemical model, and predicting the remaining life of the battery. The battery is modeled from the internal electrochemical reaction level of the battery, and the prediction precision of the residual life of the battery is improved.

The invention discloses a pulse electrochemical reactor control method for treating complex water in an oil and gas field, which is applied to a control system comprising a pulse power supply, a pulse electrochemical reactor and a controller, an electrode system is arranged in the pulse electrochemical reactor, and during the operation period of the pulse electrochemical reactor, the pulse electrochemical reactor is connected with the controller. Periodically interrupting the treatment pulse applied to the electrode system, controlling the pulse power supply to apply a preset alternating current disturbance signal to the electrode system, and collecting an electrochemical response signal fed back by the electrode system; based on the parameters of the alternating current disturbance signal and the parameters of the electrochemical response signal. By monitoring the electrochemical state of an electrode interface in real time and dynamically adjusting pulse parameters and adaptive water quality changes, efficient and stable operation of the reactor is realized; the technical problems of dynamic response lag, insufficient control precision and shortened equipment service life caused by static parameter setting in a pulse electrochemical reactor control method in the prior art are effectively solved.

The invention discloses a charge-discharge energy-saving electro-catalysis sewage treatment method which comprises the following steps: step 1, cleaning a carbon electrode, inserting the carbon electrode into sewage as a cathode and an anode at the same time, and arranging a magnetic stirrer at the bottom of an electrochemical reaction tank; step 2, applying constant voltage or constant current to the working electrode to ensure that the voltage can degrade pollutants, the anode does not generate oxygen evolution reaction, and the cathode does not generate hydrogen evolution reaction; step 3, stopping applying voltage or current to the working electrode, monitoring open-circuit voltage, gradually reducing the open-circuit voltage, and continuously degrading pollutants by utilizing the electric energy stored by the electrode; and step 4, repeating the step 2 and the step 3 until the electrocatalytic degradation is completed. Under the condition that the removal effect is guaranteed, electric energy is saved, and about 30-90% of energy consumption is reduced; the constant-current charging catalysis step ensures that the current density is controllable, and safe production is ensured; the process is simple, does not need special equipment and materials, and is suitable for upgrading and reconstruction of existing sewage treatment systems.

The invention relates to the technical field of electrochemical detection and food quality safety, and particularly discloses an edible oil rancidity degree rapid detection system based on an electrochemical sensor, comprising: a data acquisition module for receiving an original electrochemical response signal and performing format standardization, abnormal data rejection and integrity verification; the data preprocessing module adopts a statistical optimization algorithm to reduce noise, correct baseline drift, generate a unified dimension data set and complete stability verification; the feature analysis module is used for extracting rancidity related feature parameters through statistical correlation analysis, and carrying out fusion calculation after significance verification to obtain feature values representing rancidity; and the evaluation and judgment module inputs the characteristic value into a pre-training model, outputs a quantitative index through multivariate statistical calculation, dynamically sets a safety threshold in combination with the edible oil type, and outputs a rancidity judgment conclusion after comparison. The method depends on statistical data processing and analysis, the detection reliability and accuracy are improved, and the method is suitable for edible oil quality safety rapid screening and quality monitoring.

The invention creatively provides the CQDs modified Cu-based catalyst with high stability. The modified copper-based catalyst is composed of a copper-based catalyst and a proper amount of CQDs dispersed on the surface of the copper-based catalyst, and the weight ratio of the copper-based catalyst to the CQDs is (100: 2)-(100: 20). Wherein the copper-based catalyst is Cu < 2-x > Se, CuO, Cu2O, CuS, Cu2S or Cu3N. According to the CQDs modified Cu-based catalyst, reduction of Cu < + > is avoided by adopting the electron storage performance of the carbon quantum dots, and long-term stability of Cu < + > is achieved. The invention also provides an application of the CQDs modified Cu-based catalyst in an electrochemical reaction. On the basis, the invention further provides a method for efficiently carrying out electrochemical reaction by adopting the CQDs modified Cu-based catalyst, CQDs storage and electron release circulation are realized by adjusting proper pulse time and pulse potential, and the technical problem that the electron storage capacity of CQDs is limited is fundamentally solved.

The invention discloses a fuel cell bipolar plate cooling flow channel optimization method, and relates to the technical field of fuel cells, and the method comprises the following steps: arranging an asymmetric micro vortex generator and a dynamic pressure compensation flow channel in the edge area of a bipolar plate cooling flow channel; the asymmetric micro-vortex generator is composed of rhombic micro-pit arrays distributed at the bottom of the flow channel. According to the fuel cell bipolar plate cooling flow channel optimization method, through collaborative design of an asymmetric micro-vortex generator and a dynamic pressure compensation flow channel, high-kinetic-energy vortex flow is directionally induced in the edge area of the bipolar plate cooling flow channel, and three-dimensional momentum redistribution is realized through section contraction acceleration and flow guide fin suction; the problems of insufficient flow power and low heat dissipation efficiency of a coolant at the edge of a traditional runner are solved, formation of a local high-temperature area at the edge of a fuel cell stack can be inhibited, the aging rate of a membrane electrode assembly is reduced, meanwhile, the spatial uniformity of electrochemical reaction and water management is guaranteed, and the output stability and the operation life of a cell are improved.

Catalyst system for catalyzed electrochemical reactions comprising an electrically conductive support and a catalyst comprising indium and bismuth and zinc wherein the amount of zinc is 1- 50 wt.% based on the total amount of indium and bismuth and zinc, and gas-diffusion electrode comprising such catalyst system, electrochemical cell containing said gas-diffusion electrode and method for the electrochemical reduction of carbon dioxide with the help of such catalyst system.