1225 results about "Electrochemical response" patented technology

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 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 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 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 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.

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 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 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.

The invention discloses an energy storage battery thermal diffusion modeling method based on P2D-solid heat transfer coupling, and relates to the technical field of energy storage battery thermal management. The method comprises the following steps: constructing a pseudo two-dimensional (P2D) electrochemical model and a three-dimensional heat conduction model of a single battery, and calculating lithium ion concentration, potential and corresponding heat source distribution; mapping the obtained heat source as a volume heat source to a thermal model and realizing bidirectional feedback; setting a thermal runaway triggering condition to simulate temperature rise abrupt change; battery SOH state modeling is introduced, and the aging process is dynamically corrected and reflected through material parameters; finally, time domain simulation is carried out, and temperature field evolution and safety behavior prediction in the whole life cycle are obtained. According to the method, the coupling process of the microelectrochemical reaction and the macroscopic temperature change of the battery can be captured at the same time, the thermal diffusion characteristics of different decline stages are accurately described, and visual modeling of thermal runaway behaviors is supported. The method has the remarkable advantages of high precision, high applicability, perfect safety assessment capability and the like.

The invention belongs to the technical field of wastewater treatment, and particularly relates to a catalytic filler, a preparation method and application of the catalytic filler to treatment of organic matters in high-salinity wastewater through electrochemistry and ozone. Wherein the catalytic filler is prepared from the following components in percentage by mass: 5-10% of a carbon-coated high-entropy perovskite composite material, 10-15% of a binder and the balance of a carbon-based carrier; the carbon-coated high-entropy perovskite composite material is formed by compounding lanthanide series high-entropy perovskite oxide and carbon microspheres. The invention also provides a method for treating organic matters in high-salinity wastewater by using the catalytic filler through electrochemistry in cooperation with ozone. The electrochemical reaction and the ozone reaction are combined, a conductive three-dimensional electrode network is constructed by utilizing the catalytic filler, the cathode plate and the anode plate, the synergistic effect of the electrochemical reduction reaction and the catalytic ozonation in the oxidation process is promoted, the degradation of intractable pollutants by the ozone under the assistance of electrochemistry is realized, and intractable organic pollutant molecules are better decomposed.

The invention relates to a method for quantitatively evaluating the anti-oxidation effect of a skin surface in real time. The method comprises the following steps: applying a reaction medium with a standard potential window on the skin surface; the reducing capacity of skin antioxidant molecules is indirectly reflected through real-time potential drift of electron concentration change in the reaction process; constructing a surface electron acceptor reaction relation framework taking the skin as a reaction main body; deploying the modified electrode array on the skin surface; each pair of electrode sites responds to corresponding reactive oxygen species (ROS); collecting a transient response current and time curve and generating a characteristic curve combination map; an anti-oxidation response electrochemical space fingerprint is established through the pattern form and the response gradient; dividing the electrochemical response signal into a plurality of reaction micro windows; establishing a biophysical state vector of the individual skin by detecting basic conductivity, moisture capacitance and micro-temperature change of the skin surface; the vectors are used for conducting numerical value normalization and response range calibration on the response curve, and a unified standardized anti-oxidation response value is output.

The invention discloses a dimension reduction modeling method suitable for a proton exchange membrane fuel cell short stack, which is characterized in that a membrane electrode assembly is solved by adopting a one-dimensional flux equation, and a PEMFC short stack polar plate, a flow channel and a gas diffusion layer assembly are solved by adopting a three-dimensional computational domain. Comprising a mass conservation equation, a momentum conservation equation, a component conservation equation, an energy conservation equation, a liquid water equation and an electron potential conservation equation; the one-dimensional domain comprises electrochemical reaction, membrane state water, electroosmosis dragging and a flux conservation equation related to a catalytic layer and a proton exchange membrane. A three-dimensional domain calculation result is used as a one-dimensional domain boundary condition, and the one-dimensional domain calculation result is converted into a three-dimensional domain source phase and is connected with the three-dimensional domain through an expansion layer. According to the method, modeling is carried out on the PEMFC short pile, the number of grids can be reduced to one tenth of that of a traditional three-dimensional model, mass and heat transfer, electrochemical reaction, membrane water balance and other processes occurring in the PEMFC are considered, and accurate simulation can be carried out on the PEMFC pile with the activation area exceeding 300 cm < 2 > and the number of battery blocks larger than 10.

The utility model relates to a water quality advanced treatment device, which is provided with a reactor and a filtering device, the effluent of the reactor is connected to the water inlet of the filtering device, the reactor is provided with a reactor shell for accommodating water, an electrode for electrochemical reaction is arranged in the reactor shell, and the water outlet of the reactor is connected to the water inlet of the filtering device. The reactor is characterized in that a plurality of graphite nodules are further arranged in the reactor shell, a reflux pump is arranged in the reactor shell and used for reflux circulation of water in the reactor shell, a filter separation net is arranged at the bottom in the reactor shell, the baffle plate is located above the filter separation net, an inlet of the circulating pipe is located below the filter separation net, and an outlet of the circulating pipe is located below the filter separation net. And a filtering layer is arranged in the filtering device. According to the utility model, the reaction capacity of the electro-catalytic reactor is improved, the preparation cost and the operation cost of the reactor are reduced, and effluent with high purification degree is obtained.

The present application relates to a kind of composite current collector and its preparation method, belong to secondary battery technical field.The composite current collector provided by the present application has the original structure of sharp cone for shape memory polymer support layer, and the opening of support layer is filled with foaming agent and foaming aid.A kind of composite current collector provided by the present application can reduce weight and improve the energy density of battery.Secondly, the composite current collector provided by the present application increases the heat-sensitive function, which can cut off the electrochemical reaction inside the secondary battery on one hand after the thermal runaway and external impact of battery, and can reduce the heat generation of secondary battery on the other hand when the secondary battery is at high temperature, which has a triple guarantee for the safety performance of battery.

The invention discloses an air control system, an air inlet control method and an air inlet control device for a fuel cell. The system comprises a pressure sensor, a supercharger, an air compressor, a first throttle valve, a second throttle valve, a third throttle valve, a humidifier and a fuel cell stack, the pressure sensor is used for detecting the air pressure value of the air inlet; the first throttle valve and the second throttle valve are opened or closed according to the air pressure value detected by the pressure sensor; and the supercharger is used for supercharging the air at the air inlet and transmitting the air to the air compressor when the air pressure value detected by the pressure sensor does not meet the preset threshold value. Throttle valve control can be carried out according to the pressure detected by the environment pressure sensor, air inlet control treatment is achieved, the air compressor can adapt to different environment pressures, the situation that the air compressor cannot operate normally due to continuous surge caused by insufficient air inlet amount is avoided, it is ensured that the air compressor can operate under the normal condition, and the service life of the air compressor is prolonged. Therefore, the fuel cell stack is ensured to have sufficient oxygen for electrochemical reaction.

The invention discloses a preparation method of a manganese-doped iron-based sulfide / nitrogen-doped reduced graphene oxide composite electrode material for a sodium-ion battery, a simple solvothermal method is combined with annealing treatment, and iron atoms in a hexagonal system are replaced by part of manganese atoms in a hydrothermal process to form multivalent iron-based sulfide, so that the composite electrode material is prepared. The manganese-doped iron-based sulfide / nitrogen-doped reduced graphene oxide composite electrode material for the sodium-ion battery is successfully prepared by uniformly compounding the manganese-doped iron-based sulfide and the nitrogen-doped reduced graphene oxide, and the manganese-doped iron-based sulfide / nitrogen-doped reduced graphene oxide composite electrode material can effectively regulate and control the electronic state density, reduce the sodium ion migration energy barrier and promote the electron / ion transmission; meanwhile, continuous growth of iron-based sulfide particles is limited, so that the iron-based sulfide particles are uniformly dispersed on the surface of the graphene, more active sites are exposed, the electrochemical reaction activity is improved, and the structural stability is enhanced. The composite electrode material disclosed by the invention can be widely applied to a negative plate for a sodium-ion battery, and has excellent adaptability and application prospect in a wide temperature range and under a high-current working condition.

The embodiment of the invention provides a battery charging method and device, a battery is charged according to a first current and a second current in sequence, the current value of the second current is smaller than the current value of the first current, and the current value of the second current is larger than 0; wherein the second current comprises a falling current section, the starting point current value of the falling current section is smaller than the end point current value of the first current, and the slope of the falling current section is not zero. According to the embodiment of the invention, the battery is prevented from being continuously charged by relatively large current, the electrochemical reaction rate in the battery can be reduced, the polarization degree is reduced, and the service life of the battery can be prolonged.

A computer-implemented method for modeling thermal and electrochemical properties of lithium-ion battery packs is disclosed. A physics-based thermo-electro-chemical battery model is received comprising electrochemical reaction equations and thermal transport equations. A computer aided design (CAD) file is imported defining physical cell arrangements within a battery pack. Thermal connectivity matrices are automatically generated from the CAD file, where the matrices define heat transfer pathways between adjacent cells. A scaling algorithm transforms single-cell Single-Particle Model (SPM) equations into multi-cell coupled differential equations for the battery pack. The thermal and electrochemical behavior are simulated across the battery pack using the scaled equations to determine at least one battery performance characteristic based on the simulation.

The invention provides an X-ray absorption spectrum characterization system and an X-ray absorption spectrum characterization method for electrochemical reaction under a high-current working condition. A high-current electrochemical workstation provides current density not lower than that of a working condition electrolytic tank; the working condition electrolytic tank comprises a working electrode chamber and a counter electrode chamber which are oppositely arranged, and an ion exchange membrane arranged between the working electrode chamber and the counter electrode chamber; the working electrode chamber comprises a current-conducting plate made of a metal sheet, a working electrode loaded with a catalyst is arranged on one side, facing the ion exchange membrane, of the current-conducting plate, and a hollow flow channel is formed in the central area of the working electrode chamber; the working electrode chamber further comprises an X-ray window sheet for transmission of incident X-rays and fluorescent X-rays generated by the catalyst; the counter electrode chamber is provided with an electrolyte flow channel, and a counter electrode is arranged on one side, facing the ion exchange membrane, of the counter electrode chamber; and the electrolyte control system is used for realizing circulating flow of the electrolyte. Under the working conditions of high current density, strong bubble effect and high X-ray absorption, in-situ, real-time and high signal-to-noise ratio characterization of the microstructure of the catalyst can be realized.

The invention relates to the technical field of all-vanadium redox flow batteries, and discloses a supported electrolyte of all-vanadium redox flow battery positive and negative electrolyte and a preparation method thereof, and the supported electrolyte comprises an aqueous solution containing vanadium ions, sulfonate ions, sulfate ions and phosphonic acid groups. The sulfonic acid group (-SO3H) has strong polarity and high ionization degree, after the sulfonic acid group (-SO3H) is mixed with the phosphonic acid group (-PO3H2) and sulfuric acid, the ionic environment of the electrolyte can be optimized, the activation energy of V (II) / V (III) and V (IV) / V (V) electricity on electron transfer is reduced, and compared with an existing sulfuric acid supported electrolyte, the reversibility of electrochemical reaction is remarkably improved, and the electrochemical activity of the electrolyte is enhanced; meanwhile, phosphonic acid groups have high complexing ability, can form stable chelates with vanadium ions and can form complexing-dispersing synergy with sulfonic acid groups, the solubility of the vanadium ions is improved, and agglomeration and crystallization of the vanadium ions are inhibited.

The application discloses a carbon nitride / carbon felt electrode for a vanadium redox flow battery and a preparation method thereof, and belongs to the technical field of battery materials. The preparation method comprises the following steps: (1) soaking carbon felt in an ethanol solution containing an iron salt compound and then drying; (2) suspending the dried carbon felt in a closed container, adding a pyrrole monomer, and reacting at a constant temperature under an inert atmosphere to obtain a polypyrrole / carbon felt, which is cleaned and dried; (3) soaking the polypyrrole / carbon felt in an ethanol solution containing a zinc salt compound and then drying; (4) gradually increasing the temperature of the dried polypyrrole / carbon felt under an inert atmosphere to perform high-temperature carbonization, and obtaining carbon nitride / carbon felt; and (5) performing pickling and water washing on the carbon nitride / carbon felt, and obtaining the carbon nitride / carbon felt electrode after drying. In the application, the iron salt is used to catalyze the polymerization and deposition of pyrrole on the surface of the carbon felt, and finally high-temperature carbonization is performed to form various nitrogen-doped structures on the surface of the carbon felt, so that the liquid affinity and the electrochemical reaction activity of the electrode surface are significantly improved, and the energy efficiency of the battery is improved.

The invention discloses a seawater chemical oxygen demand determination method based on bias voltage photoelectric oxidation, and relates to the technical field of water quality monitoring. The method comprises the following steps: collecting seawater and performing pretreatment to obtain a seawater sample; adding supporting electrolyte into the seawater sample to obtain an electrolytic water sample; the method comprises the following steps: injecting an electrolysis water sample into a photoelectrochemical reaction tank, applying bias voltage to a working electrode by taking Ag / AgCl as a reference electrode, and turning on a light source with a specific wavelength for irradiation; carrying out an oxidation reaction in the photoelectrochemical reaction tank, and after the oxidation reaction of the organic matter is complete, obtaining a steady-state photocurrent with a stable current signal; according to a preset steady-state light current-COD concentration curve, a COD measured value is obtained, the COD standard concentration value is corrected according to the water temperature and the salinity, and a COD corrected value is obtained. An adjustable tiny external bias voltage is introduced to cooperate with light source irradiation, so that rapid, accurate and high-anti-interference measurement of COD in seawater is realized.

The invention discloses an organic composite electrode material, a preparation method thereof and a photo-assisted charging ammonium ion battery. The organic composite electrode material is obtained by compounding 2, 6-di [1-(pyrene-3, 4, 9, 10-tetraformyl diimine)] anthraquinone and reduced graphene oxide, and the organic composite electrode material is prepared by compounding the 2, 6-di [1-(pyrene-3, 4, 9, 10-tetraformyl diimine)] anthraquinone and the reduced graphene oxide. According to the invention, the photo-assisted charging strategy and the aqueous ion battery are combined, the ammonium ions are used as the charge carrier of the aqueous photo-assisted charging battery for the first time by virtue of the rapid dynamic characteristic of the ammonium ions in the aqueous electrolyte, and the advantages of rapid ion transmission of the ammonium ions in the electrolyte are utilized; the problem that the photoelectric reaction rate and the electrochemical oxidation reduction rate in the aqueous photo-assisted rechargeable battery are not matched is solved, collaborative optimization of the photoelectric reaction rate and the electrochemical reaction rate is achieved, the charging and discharging efficiency and the energy utilization rate of the battery are remarkably improved, and a new thought is provided for the next generation of photo-storage integrated battery technology.

The invention relates to the technical field of electrochemical analysis and detection, in particular to a sensitive detection tert-butylhydroquinone modified glassy carbon electrode, a preparation method and application, the sensitive detection tert-butylhydroquinone modified glassy carbon electrode has high specific surface area and catalytic activity and good conductivity, sensitive detection of tert-butylhydroquinone can be achieved, and the application range is wide. The modified glassy carbon electrode comprises a glassy carbon electrode and a compound coating, the compound coating wraps the surface of the glassy carbon electrode, and the compound coating is composed of graphene oxide and a Ti-based MOF derivative; the preparation method comprises the following steps: (1) preparing MIL-125 (Ti); (2) preparation of TiO2 / NC; (3) preparation of 15% GO (at) TiO2 / NC; (4) preparing a dispersion liquid of the prepared 15% GO-coated TiO2 / NC composite material; (5) manufacturing a modified electrode; the application comprises the following steps: S1, establishing a concentration-electrochemical response signal relationship; and S2, measuring the concentration of the to-be-measured substance.

The invention discloses a long-time emergency hydrogen-lithium hybrid power generation platform, which comprises a fuel cell stack for generating electric energy through electrochemical reaction of hydrogen and air; the air supply subsystem provides stable airflow through an air compressor and an electric control valve, and the hydrogen supply subsystem realizes hydrogen circulation through a hydrogen storage tank and a reflux pump; the thermal management system is used for controlling the temperature of the fuel cell stack through a water pump and a radiator based on liquid water circulation and dynamically adjusting water flow through a thermostat and a main radiator; the power electronic system activates the fuel cell stack and the lithium battery to work cooperatively through the FCU, monitors the state of the fuel cell stack in real time, and adjusts the cooling efficiency; the control and data monitoring system collects temperature, pressure and voltage parameters in real time through multiple sensors. According to the invention, through collaborative optimization of hydrogen energy and lithium batteries and key equipment innovation, an efficient, reliable and zero-carbon distributed energy system is constructed, and technical support is provided for research of long-time emergency supply insurance power generation vehicles.