49 results about "Electrochemical kinetics" patented technology

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

The invention relates to the technical field of preparation of high-entropy alloy materials, in particular to a C / S / HES composite electrode material based on high-entropy sulfides and a preparation method and application thereof.The preparation method comprises the following steps that a carbon material is dispersed in N, N-dimethylformamide to obtain a carbon material dispersion liquid, an iron source, soluble metal salt and sublimed sulfur are mixed with a carbon source solution, and the carbon material dispersion liquid is obtained; carrying out hydrothermal reaction to obtain high-entropy sulfide; mixing a carbon source with sublimed sulfur, and carrying out hot melting treatment to obtain a carbon / sulfur positive electrode material; the preparation method comprises the following steps: taking a high-entropy sulfide as an electrocatalyst, mixing and grinding the high-entropy sulfide and a carbon / sulfur positive electrode material, and carrying out hot melting treatment to obtain the C / S / HES composite electrode material based on the high-entropy sulfide. The electrochemical kinetics of soluble NaPSs in the sodium-sulfur battery is accelerated by screening a proper high-entropy sulfide catalytic host, and the electrochemical behavior is improved.

The invention relates to a large-scale reactive molecular dynamics simulation method for analyzing a lithium ion battery interface product, and the method specifically comprises the steps: building a lithium ion battery atomic scale model, setting simulation conditions, carrying out reactive molecular dynamics simulation under the preset simulation conditions, and analyzing the interface product generated by simulation. And a reaction network is constructed, so that identification and analysis of an interface product formed between the electrolyte and the electrode of the lithium ion battery are realized. Compared with the prior art, the ReaxFF force field is combined with the electrochemical kinetics method, the electrochemical behavior of the battery is simulated more truly, and the practicability and accuracy of the model are enhanced. According to the method, the reaction network is automatically extracted from the MD track by using the ReacNetGeneraa tor, reaction paths and quantity can be extracted from a large amount of atomic coordinate data, the reaction matrix is generated, the interface product formed in the battery is efficiently identified and analyzed, and a powerful tool is provided for understanding the interface reaction mechanism of the battery.

The invention relates to the technical field of battery management systems, in particular to a battery control method of a BMS (battery management system), which comprises the following steps of: acquiring a voltage sampling value, a temperature sampling value, an internal resistance sampling value and a charge state sampling value of each single battery according to a BMS sampling period, and constructing a single multi-dimensional feature vector; according to the method, the electrochemical dynamic characteristics in the internal polarization elimination process of the battery can be captured by calculating the voltage relaxation rebound slope. And the calculated value is compared with a slope limit dynamic threshold retrieved according to the current temperature and the charge state, so that non-intrusive online quantitative evaluation of the lithium precipitation risk on the surface of the negative electrode is realized. The charging request current is dynamically adjusted or cut-off control is executed according to the lithium precipitation abnormal state judgment index, it is ensured that the battery always works within the nondestructive electrochemical boundary, the fast charging requirement is met, capacity fading and internal short circuit hidden dangers caused by lithium precipitation are avoided, and the safety of the whole life cycle of the battery is improved.

The invention provides selenium nanoparticles as well as a preparation method and application thereof, and belongs to the technical field of selenium nanoparticles. Acetone ultrasonic cleaning and chemical polishing pretreatment are performed on a pure titanium substrate to obtain a clean surface, an anodic oxidation method is adopted to prepare a # imgabs0 # nanotube array carrier, and the nano-particles are prepared into selenium nano-particles. The method comprises the following steps: accurately depositing selenium nanoparticles on a carrier by using an electrochemical deposition method, realizing load control by combining an electrochemical kinetics principle, realizing uniform dispersion of the particles by matching an ultrasonic dispersion technology with a particle swarm optimization algorithm, and carrying out centrifugal separation and vacuum drying to obtain a spherical selenium nanoparticle product. And a multi-dimensional quality control detection system of a transmission electron microscope, an X-ray photoelectron spectroscopy and dynamic light scattering is established, so that the technical problems that the particle size distribution is non-uniform and the deposition load is difficult to accurately control in the preparation process of the selenium nanoparticles are solved.

The invention discloses a method for preparing a potassium-rich type potassium battery positive electrode material by using a chelating agent. The positive electrode material of the potassium-rich type potassium battery is a potassium-rich manganese-based Prussian blue analogue KxTmyMn1-yFe (CN) 6, 0lt, x is less than or equal to 2, 0lt; yt; Yt; 1, the material is prepared through a normal-temperature coprecipitation method; comprising the following steps: mixing concentrated hydrochloric acid, potassium chloride and CMC in deionized water to obtain a first solution, dividing the first solution into two parts, respectively adding potassium ferrocyanide and transition metal salt, mixing and stirring the two solutions, aging, centrifugally collecting, cleaning and drying to obtain the potassium-rich type potassium battery positive electrode material. According to the invention, CMC is used as a chelating agent and combined with the synergistic effect of doped transition metal elements, so that ion and electron transport is promoted together, and the problems of Mn < 2 + > dissolution and water-related side reactions are effectively alleviated, thereby reducing charge transfer resistance, enhancing electrochemical kinetics, and realizing high capacity and long cycle performance.

The application discloses a kind of manganese-rich precursors and preparation method and positive electrode material thereof, and is related to lithium ion battery material technical field.The preparation method includes that metal salt solution, precipitant and complexing agent are simultaneously added to reaction kettle by metering pump and carry out coprecipitation reaction, and hydrogen peroxide solution is pumped into reaction system by metering pump in stages during reaction process and carries out liquid phase micro-oxidation treatment.The prepared precursor is spherical secondary particle, and is composed of nanoscale particle and interwoven sheet-shaped primary particle.The method utilizes the direct and uniform oxidation effect of hydrogen peroxide in liquid phase, and in-situ constructs stable high-valence manganese oxide on the surface of precursor, so that the prepared positive electrode material simultaneously has excellent electrochemical kinetics and structural stability.

The invention discloses a preparation method of a platinum-based hydrogen evolution catalyst with a nanoscale high-curvature tip, the platinum-based hydrogen evolution catalyst takes a nickel net as a substrate, the nickel net is firstly placed in ethylene glycol, metal salt deposition is carried out under a water bath condition, then chloroplatinic acid solution treatment is carried out, and finally cleaning and drying are carried out to prepare the platinum-based hydrogen evolution catalyst. The preparation method is simple, the process is easy to control, the prepared catalyst is of a three-dimensional multi-stage dendritic structure with tips, a large number of nanoscale tips on the dendritic structure can effectively enrich reactant active water molecules and have a repulsive effect on products, and the electrochemical kinetics performance is greatly improved. The catalyst has excellent water electrolysis hydrogen evolution performance and good stability, and in 6M potassium hydroxide, only 94 mV overpotential is needed to reach the stable current density of 500 mA. Cm <-2 >.

The invention discloses a proton exchange membrane water electrolysis hydrogen production electrochemical kinetics correction calculation method. The method comprises the following steps: S1, model assumption; s2, constructing an electrochemical model; S2.1, solving two charge balance equations in an electron conduction domain and an electrolyte domain, and completing coupling calculation of potential distribution and electrochemical kinetics; s2.2, introducing the volume fraction and the stoichiometric coefficient of each component into an equilibrium potential equation and a Butler-Volmer equation to complete the correction of the equations, and establishing a corrected PEMWE three-dimensional simulation model; and S3, verifying the accuracy of the corrected PEMWE three-dimensional simulation model and the calculation method. According to the electrochemical kinetics correction calculation method for hydrogen production through water electrolysis of the proton exchange membrane, electrochemical kinetics calculation of the electrolytic tank is corrected, and the problem that the electrochemical reaction rate of the electrolytic tank is affected by the concentration of reactants in actual calculation is solved.

The present inventions relate to methods, systems, apparatuses, controllers, software, and composition of matter associated with electrochemical energy storage devices. The present inventions relate to one or more additives for batteries, e.g., silicon-based batteries. The additives are integrated in the electrode counter-electrode, and / or electrolyte. The additives are configured to enhance electrochemical kinetics, reduce overpotential, suppress parasitic reactions, stabilize passivation layers, suppress dendrite formation, improve capacity retention, enable fast charging, increase coulombic efficiency, enhance reversibility over extended cycling, or any combination thereof.

The invention discloses a preparation method and electrochemical energy storage application of nitroxide free radical molecules with double redox active centers and analogues of the nitroxide free radical molecules, and belongs to the technical field of nitroxide free radical molecules. Through structural design of molecular bridging substituent groups, groups with multiple bridging points, such as quaternary ammonium groups and acylamino groups, are introduced to the fourth site of a piperidine ring, and the connection mode of the groups is modulated, such as linear or branched, so that controllable coupling of two redox active center units is realized. Researches show that the types, the number and the connection mode of the bridging groups have important influences on the oxidation-reduction potential, the electrochemical kinetics and the cycling stability of target molecules. The invention further discloses a charge-discharge mechanism and a degradation path of double-electron nitroxide free radical electrolyte molecules, and provides a theoretical basis and a practical basis for stable implementation of a double-electron transfer process. The research provides a brand new design thought and technical support for constructing organic flow battery electrolyte molecules with high energy density and long service life, and has a wide application prospect.

The application discloses a high-entropy conversion-alloy-based negative electrode material in a potassium / sodium ion battery and a preparation method thereof. The material preparation steps are as follows: a certain amount of antimony salt, bismuth salt, tin salt, cobalt salt, manganese salt and nickel salt are weighed according to the stoichiometric ratio and dissolved in deionized water containing tartaric acid to form a uniform solution A; then a certain amount of sodium tellurite is dissolved in ammonia water containing hydrazine hydrate to form a uniform solution B; the solutions A and B are uniformly mixed and subjected to a hydrothermal reaction; and the target "medium-high-entropy" material is obtained through centrifugation, washing and drying. The medium-high-entropy component design can significantly enhance the potassium / sodium storage electrochemical kinetics of the conversion-alloy-based negative electrode material, effectively inhibit the large volume expansion problem in the charging and discharging process, and make the material have high reversible specific capacity, excellent cycle stability and rate performance. In addition, the preparation process is simple and easy to operate, and is suitable for large-scale industrial production.

The invention discloses a 3D printing nanometer microbattery composite electrode material and a preparation method thereof, belongs to the technical field of batteries, and constructs a novel 3D printing V2O5-Ti3C2-Au nanometer composite electrode material which is used for high-performance lithium ion energy storage. The nano composite material has a layered heterostructure, V2O5 is connected with Ti3C2MXene through a defect-rich TiO2 intermediate layer, and the Ti3C2MXene intermediate layer can anchor oxide, so that lattice mismatch is reduced to the greatest extent, oxygen vacancies are introduced, and electron and lithium ion transmission is enhanced. And the gold nanoparticles are anchored on Ti sites on the surface of MXene to form conductive interface bonds, so that the interface conductivity and the mechanical integrity are improved. The 3D printing nano-composite cathode is manufactured through an ink direct-writing 3D printing technology forming method, and the structure and spatial distribution of the active material can be accurately controlled, so that the ion / electron path is shortened, and the electrochemical kinetics is improved.

The application relates to a method for analyzing the decomposition process of a Mg-ion battery electrolyte based on reactive molecular dynamics simulation, which comprises the following steps: constructing a Mg-ion battery model, adopting reactive force field molecular dynamics simulation, simulating the external voltage condition of the battery model by using an electrochemical kinetics method, simulating the inter-ion charge transfer by using a charge balance method, combining the three methods to simulate the discharge process of the Mg-ion battery, and tracking the species to which each snapshot of all atoms in the electrolyte of the Mg-ion battery belongs by using a reaction network integrator, so as to realize the decomposition process of the simulated electrolyte. Compared with the prior art, the method can more accurately analyze the electrolyte decomposition path and identify organic, inorganic and gaseous products by using the ReacNetGenerator method based on graph theory. The proposed multi-element hybrid analysis simulation method can more realistically simulate the reaction process, and can analyze the electrolyte decomposition process from the microscopic mechanism, thereby providing a basis for the further design of Mg battery electrolyte.

The application discloses a static self-assembly preparation method of a high-nickel ternary material nano-barium titanate core-shell structure. The technology realizes uniform coating of nano-particles on the surface of a base through electrostatic attraction by means of surface charge regulation and layer-by-layer self-assembly mechanism, that is, by immersing positively charged high-nickel ternary material into negatively charged nano-barium titanate slurry liquid. The application can obtain core-shell materials with strong binding force and controllable structure. The process is simple in operation and low in energy consumption. The barium titanate coating layer based on the coordination of the physical barrier and electric field modulation dual mechanisms effectively improves the interface stability and the electrochemical kinetic performance.

This invention proposes a method and system for predicting anode deactivation based on electrochemical fingerprinting and knowledge co-driven approaches. It collects anode reaction potential, cell voltage, operating parameters, anode structural characteristics, and time-series electrochemical spectra. Peak current, volt-ampere integral charge, and redox response intensity are extracted from cyclic voltammetry curves. Anode potential, reaction overpotential, and Tafel slope at a fixed current density are extracted from linear sweep voltammetry curves. Cell voltage changes, change rates, and fluctuation levels are also extracted. Candidate fingerprints are screened and integrated with operating parameters, considering deactivation mechanisms such as side reaction competition. An initial prediction model for the anode reaction potential is constructed based on electrochemical kinetics and ohmic polarization constraints, and then corrected using a machine learning model. Based on the corrected prediction results, the time-series changes of the core fingerprint, and preset criteria, the anode deactivation state, deactivation rate, dominant deactivation type, and risk level are determined, and operational control recommendations are output.

The invention discloses a bimetal negative electrode liquid metal battery simulation model and simulation method. The method comprises the following steps: S1, constructing a battery geometric model; s2, establishing an ion transfer and current control equation of a molten salt electrolyte domain; s3, establishing electrochemical kinetic equations of a negative electrode-electrolyte interface and a positive electrode-electrolyte interface; s4, establishing a material transfer control equation of the negative electrode domain and the positive electrode domain; s5, establishing and coupling replacement reaction boundary conditions at a negative electrode-electrolyte interface; and S6, according to the equations and boundary conditions established in the steps S2 to S5, allocating corresponding physical field interfaces to each domain of the geometric model established in the step S1, and completing the establishment of the bimetal negative electrode liquid metal battery simulation model. According to the invention, modeling is carried out on the discharge participation process of the two metals in the Na-Li bimetal negative electrode liquid metal battery for the first time, and the specific competition process of the discharge participation of the two metals Na and Li and the physical and chemical change in the battery can be observed through simulation.

The invention relates to the technical field of battery pole pieces, in particular to a pole piece slurry processing method for improving solid content and reducing viscosity. Comprising the following steps: mixing active substance particles with a temporary binder to prepare a pole piece slurry, and enabling the active substance particles to form a temporary aggregate in the pole piece slurry through the temporary binder; the temporary binder can be removed from the pole piece slurry at a temperature not higher than the baking temperature of the pole piece. According to the preparation method, the temporary binder easy to remove is introduced in the material mixing stage to promote the small-particle-size active substance particles to form the temporary aggregate, so that the number of the high-surface-energy small-particle-size particles is effectively reduced, the viscosity of the slurry is reduced, and the solid content can be improved. And in the subsequent pole piece baking stage, the temporary binder can be completely removed, and at the moment, the active substance particles can recover the original primary particle state, so that the excellent electrochemical dynamic performance of the active substance particles is ensured.

The invention relates to a natural graphite and artificial graphite composite derived negative electrode material, preparation and a lithium ion battery, and belongs to the technical field of lithium ion batteries. Natural graphite and artificial graphite are used as main active substances, a proper amount of polyvinylpyrrolidone is added to serve as a polymer binder and a dispersing agent, and the electrode microstructure is optimized by accurately regulating and controlling the dosage of each substance, so that the cycling stability and the rate capability of the graphite negative electrode are improved. The composite strategy can effectively combine the high-capacity characteristic of natural graphite and the structural stability of artificial graphite, and the cycle life of the material is remarkably prolonged while the electrochemical dynamic behavior of the material is improved.

The invention relates to a lithium ion battery interface crack molecular dynamics simulation method based on a machine learning potential function, and the method comprises the steps: building a lithium ion battery atomic scale model comprising a positive electrode atomic layer, an electrolyte atomic layer and a negative electrode atomic layer, and filling electrolyte molecules between the negative electrode atomic layer and the positive electrode atomic layer; initial data generated through quantum mechanics calculation and a machine learning potential function obtained through supplementary data training are used for simulating the interaction between atoms. A driving force generated by applying an external voltage to a metal electrode is simulated by adopting an electrochemical kinetics method, a deposition process of lithium atoms at an interface of the metal electrode and an electrolyte is simulated, and electrolyte molecules are subjected to a physical reaction on the interface to form cracks and dendritic crystals. By comparing an original crystal structure with an interface product, stress-strain diagrams at different moments are obtained so as to analyze the strain process in the reaction. Compared with the prior art, by combining the machine learning potential function and the electrochemical kinetics method, the simulation precision and efficiency are remarkably improved.

The invention discloses a flow battery electrode material and a preparation method thereof, and belongs to the technical field of flow battery energy storage, a graphite felt electrode is immersed in an MXene dispersion liquid, MXene is loaded on the surface of the graphite felt, and freeze drying is performed to obtain the flow battery electrode material. The MXene material is adopted to modify the graphite felt electrode, adsorption energy and motion energy of metal atoms are regulated and controlled, uniform deposition of Zn / Fe atoms on the electrode material is promoted through high atom motion energy and low adsorption energy of MXene, so that formation of metal dendrites on the electrode material is effectively inhibited, the energy efficiency and the area capacity of the flow battery are remarkably improved, and the flow battery has good application prospects. The electrochemical kinetics is optimized, and the activation energy is reduced by more than 50%. The preparation method provided by the invention has high efficiency and expandability, inhibits the generation of hydrogen evolution side reaction, prolongs the service life of the flow battery, and provides a solution for high-safety and low-cost large-scale energy storage.

The invention relates to the technical field of battery management systems, discloses an all-vanadium redox flow battery state-of-charge prediction method based on hierarchical physical prior strengthening, and aims to realize accurate prediction of the battery state-of-charge. The method comprises the following steps: collecting an endogenous time sequence and an exogenous time sequence of all-vanadium redox flow battery operation; respectively performing embedding processing on the endogenous time sequence and the exogenous time sequence to obtain an endogenous feature marker and an exogenous feature marker; wherein the endogenous time sequence is a charge state sequence, and the exogenous time sequence comprises current, terminal voltage, open-circuit voltage and temperature. And sequentially carrying out local time sequence feature extraction, physical memory state tracking, electrochemical dynamic state correction, endogenous and endogenous feature fusion and thermodynamic constraint enhancement processing on the endogenous feature mark and the exogenous feature mark, and outputting a feature vector after physical consistency enhancement. And performing constraint adjustment on the feature vector after physical consistency enhancement based on the law of conservation of charge, and outputting a final state of charge prediction result.

The present invention discloses a 3D-printed nano-microbattery composite electrode material and a preparation method thereof, which belongs to the field of battery technology. A new type of 3D-printed V2O5-Ti3C2-Au nano-composite electrode material is constructed for high-performance lithium-ion energy storage. The nano-composite material has a layered heterogeneous structure, in which V2O5 is connected to Ti3C2MXene through a defect-rich TiO2 intermediate layer, and the Ti3C2 intermediate layer can anchor the oxide, minimize the lattice mismatch, and introduce oxygen vacancies, which is beneficial to enhance the transmission of electrons and lithium ions. Gold nanoparticles are anchored on the Ti sites on the MXene surface to form conductive interface bonds, thereby improving the interface conductivity and mechanical integrity. The 3D-printed nano-composite cathode is manufactured by an ink direct writing 3D printing technology molding method, which can precisely control the structure and spatial distribution of the active material, thereby shortening the ion / electron pathway and improving the electrochemical kinetics.

The invention provides a cross-scale battery cell leakage characteristic identification method based on deep learning, and the method comprises the steps: collecting the multi-source operation parameters of a battery cell in real time, such as an electrochemical parameter and a physical field parameter; the electrochemical parameters of the discrete time sequence and the physical field parameters of the continuous space are mapped to a unified feature space through a space-time alignment frame; constructing a hybrid neural network architecture to extract cross-scale features, wherein the architecture comprises a deep bidirectional LSTM network and a graph convolutional network; training a hybrid neural network architecture by adopting a loss function driven by a first principle, wherein the loss function is formed by weighting a data fitting error term and an electrochemical kinetics constraint term through a dynamic weight factor; and finally, inputting the fused feature vectors into a classifier, and outputting a battery cell leakage risk level. According to the invention, the sensitivity and accuracy of early detection of battery cell leakage can be improved, the calculation complexity is reduced, and the safe operation of a lithium ion battery system is ensured.

The application discloses a zinc negative electrode, a preparation method thereof and a water-based zinc-based electrochemical energy storage device. The zinc negative electrode comprises a negative electrode substrate formed by metal zinc and a tungsten oxide protective layer; the tungsten oxide protective layer is formed by in-situ electrochemical reaction of metal zinc and tungsten acid root. The preparation method comprises the following steps: providing a negative electrode substrate; contacting with a reaction solution and generating in-situ electrochemical reaction to deposit a tungsten oxide protective layer, thereby obtaining a zinc negative electrode; wherein the reaction solution contains tungsten acid root. The zinc negative electrode provided by the application has excellent corrosion resistance, can significantly reduce the occurrence of water-induced side reactions in an acidic electrolyte, avoid additional zinc loss, improve the coulomb efficiency and utilization rate of the zinc negative electrode; and the polarization degree of the zinc negative electrode is low, and a strong interaction of chemical bond is formed between the protective layer and the metal zinc, so that the electrochemical energy storage device composed of the zinc negative electrode provided by the application has excellent electrochemical kinetic performance and cycle performance.

The embodiment of the present application relates to the field of new energy technology, and provides a multi-physics field coupling optimization method and related products of a co-electrolysis system, the method comprising: obtaining a coupling mathematical model and a fractal porous medium permeability model during the operation of the co-electrolysis system; obtaining the corrected control parameters of the co-electrolysis system based on the physical field parameters output by the electrochemical kinetics calculation model, the non-Darcy seepage simulation model, and the thermal stress field calculation model; obtaining the optimized permeability by adjusting the fractal parameters of the fractal porous medium permeability model; providing the optimized permeability to the non-Darcy seepage simulation model to update the flow field pressure distribution; performing multi-objective optimization on the coupling mathematical model based on the physical field parameters updated in real time by the electrochemical kinetics calculation model, the non-Darcy seepage simulation model, and the thermal stress field calculation model, to obtain the optimized coupling mathematical model. The embodiment of the present application can optimize the multi-physics field coupling of the co-electrolysis system and is suitable for complex working condition regulation.

The application discloses a Mo gradient doped high-nickel material and a preparation method and application thereof. The Mo gradient doped high-nickel material prepared by the application realizes body phase Mo doping and surface Li2MoO4 coating. A Mo-O-Ni spring structure formed by the material can delay harmful phase transition hysteresis, inhibit more serious cation mixing, enhance stable ion / electron transmission, Mo doping can effectively improve electrochemical kinetics under high voltage and enhance the rate performance. The Li2MoO4 coating can inhibit electrolyte decomposition and hinder oxygen escape in the body phase, promote reversible oxygen oxidation and reduction, build a stable thin and dense CEI layer, and prolong the cycle life. The application shows excellent electrochemical performance in a half-cell system, and also shows broad application prospects in a full-cell system matched with commercial graphite.

The invention discloses a high-specific-surface-area porous carbon / sulfur composite material, a preparation method and application thereof, and an aqueous zinc-sulfur battery, and relates to the technical field of carbon materials. The method comprises the following steps: cleaning and drying a biomass precursor to obtain a pretreated precursor; then mixing with sulfate according to a ratio, and carrying out preliminary grinding and subsequent uniform ball milling to prepare a carbon / sulfur composite material precursor; and putting the carbon / sulfur composite material precursor into a tubular furnace, carbonizing in an inert atmosphere, and pickling to obtain the porous carbon / sulfur composite material with high specific surface area. The carbon / sulfur composite material with high sulfur content can be obtained by pickling the obtained three-dimensional porous carbon / sulfur composite material with hydrochloric acid, and the electrochemical and dynamic properties of the carbon / sulfur composite material are obviously superior to those of previously reported work. Due to the high-uniformity composite material, the mutually-crosslinked three-dimensional carbon nanostructure and the developed specific surface area, the obtained porous carbon material shows excellent electrochemical performance when being used as the positive electrode material of the water-based zinc-sulfur battery.

The application discloses a kind of nanoflower-shaped vanadium zinc disulfide ion battery positive electrode materials containing sulfur vacancy and preparation method thereof, belong to energy storage technology material preparation technical field.The method disclosed in the application uses water and ethylene glycol as solvent, uses ammonium metavanadate as vanadium source, and uses thioacetamide as sulfur source, first ammonium metavanadate is dissolved in ethylene glycol, then thioacetamide and deionized water are added, after stirring and dissolving, add ammonia water to adjust pH value, then after stirring, precursor solution is transferred to stainless steel reaction kettle to carry out solvothermal reaction, the obtained product is collected, washed, vacuum dried, and then annealed to obtain a sulfur vacancy-containing vanadium disulfide product.The presence of sulfur vacancy in the sulfur vacancy-containing vanadium disulfide product further improves the electrochemical kinetics of the material for zinc ion deintercalation, thereby making the vanadium disulfide have good cycle stability and rate performance.

The invention provides a potassium ion / metal battery high-entropy negative enthalpy Prussian blue analogue positive electrode material and a preparation method thereof, the material also comprises ions of at least five different metal elements in addition to potassium ions, and the preparation method comprises the following steps: synthesizing the material by using a cyanide complex with the chemical formula of Kx [M '(CN) 6], potassium salt and salts of various metals as raw materials and adopting a coprecipitation method. On the basis of the design of the high-entropy component, the disorder of an N coordination environment can be remarkably improved, and then generation of anion defects is inhibited; the high-entropy negative enthalpy structure can significantly enhance the structural stability of the material, and further inhibits complex phase state transition caused by Jahn-Teller lattice distortion, Fouli repulsion, d-pi orbit overlapping and coulomb gravitation change. The regulated electronic structure can eliminate band gaps and reduce potassium ion diffusion barriers, so that the electrochemical dynamic behavior is enhanced; the high element compatibility in the high-entropy component can significantly weaken the accumulation of lattice stress in long-term circulation so as to enhance the electrode stability. Therefore, the prepared series of high-entropy negative-enthalpy electrode materials have high reversible specific capacity, high working voltage and excellent rate capability and cycling stability.