307 results about "Polarization voltage" patented technology

The invention relates to the technical field of power supply devices, in particular to an energy-saving optimization method for an electric energy storage device, and the method comprises the steps: fusing a lithium ion battery solid-liquid phase change kinetic equation, a flow battery fluid mechanics equation and a flywheel rotor rigid-flexible coupling equation through a neural differential equation; constructing a dynamic meta-knowledge base containing cross-time scale nonlinear interaction features; performing dynamic parameter compensation on the polarization voltage hysteresis effect and the electrolyte flow resistance coupling effect by using a physical information neural network to generate a decoupled residual feature vector; according to the method, multi-physics field coupling modeling is achieved through the dynamic meta-knowledge base, and the energy efficiency optimization effect of the energy storage device is improved by combining the physical information neural network and the quantum optimization algorithm.

The invention relates to the technical field of battery state monitoring, and discloses a sightseeing vehicle battery state monitoring method, device and equipment and a storage medium, and the method comprises the steps: collecting the voltage, current and temperature data of a sightseeing vehicle battery, and carrying out the preprocessing, and obtaining a battery operation parameter data set; constructing a battery equivalent circuit model, and performing global and local two-stage optimization to obtain an optimal parameter set of the battery equivalent circuit model; constructing a state equation and an observation equation, and carrying out initialization setting on a covariance matrix of the triple forgetting factor adaptive extended Kalman filter to obtain a battery state observation model; priori state estimation is obtained through time updating operation, posterior state estimation is obtained through measurement updating operation, hierarchical estimation is carried out on the charge state and the polarization voltage of the battery, and the state characteristic quantity of the battery is obtained; according to the method, the reliability and the safety of the battery management system of the sightseeing vehicle are improved.

The invention discloses a sodium ion battery SOC estimation method based on extended Kalman filtering. The method comprises the following steps: acquiring charging and discharging voltage, current and open-circuit voltage OCV data of a sodium battery through an HPPC test and a capacity test; and fitting a function relationship between the OCV and the SOC based on the standing balanced voltage data. And constructing a three-order RC equivalent circuit model, and identifying ohmic resistance, polarization resistance and polarization capacitance parameters in the model through curve fitting. Based on the model, a state vector containing SOC and polarization voltage is defined, and a nonlinear state equation and a terminal voltage observation equation are established. And predicting the state vector and the covariance matrix at the current moment according to the state vector and the covariance matrix at the previous moment by using an extended Kalman filtering algorithm, calculating Kalman gain by combining the actually measured terminal voltage, correcting the prediction result, and updating the SOC estimation value. And through loop iteration, real-time high-precision dynamic estimation of the SOC of the sodium-ion battery is realized. The method provides an efficient and accurate SOC estimation solution for a sodium ion battery management system.

The invention relates to a battery SOC intelligent monitoring and management method based on a precise electric quantity algorithm, and belongs to the technical field of battery power generation management, and the method comprises the steps: obtaining the voltage, current, temperature and historical data of a battery in real time, and calculating an initial SOC value through an ampere-hour integral method; when the SOC is greater than or equal to 90% in a charging state, generating a first correction factor based on a voltage hysteresis characteristic and a temperature coefficient, and dynamically reducing an ampere-hour integral weight; in the discharge state and when SOC is smaller than or equal to 20%, a second correction factor is generated in combination with the polarization voltage and the temperature attenuation coefficient, and the Kalman filtering weight is increased; and fusing the correction factors through a gradient descent optimization algorithm, performing closed-loop feedback, and outputting a calibrated SOC value. According to the method, through dynamic weight distribution, a nonlinear compensation model and a closed-loop self-optimization mechanism, the problems that an extreme SOC interval is large in estimation error and a traditional method is poor in adaptability are solved, and the precision and reliability of battery management are remarkably improved.

The invention discloses a vanadium-doped modified ferric sodium pyrophosphate material based on spray drying as well as a preparation method and application of the vanadium-doped modified ferric sodium pyrophosphate material. The material has a spherical porous morphology, and the particle size is 1-10 microns; the chemical formula is Na (4-x) Fe (3-x) Vx (PO4) 2P2O7, wherein x is more than 0 and less than or equal to 0.1. The material is prepared by adopting a spray drying method, and atomic-scale mixing of vanadium and iron is ensured through a uniform and stable complexing ion solution; and the formation of porous spherical morphology is promoted through the volatilization of the acidic base solution in the rapid drying process. A spray drying method and a trace vanadium doping technology are combined, so that more active sodium sites in the ferric sodium phosphate pyrophosphate positive electrode material can be activated, the reversible de-intercalation sodium capacity can be improved, sodium ion diffusion can be promoted, the polarization voltage can be reduced, and the cycling stability of the material can be improved.

A sodium ion battery parameter identification method based on a third-order equivalent circuit model comprises the following steps: applying pulse current to a sodium ion battery to carry out charge and discharge test, and collecting terminal voltage, current and capacity data in discharge and shelving stages; constructing a three-order equivalent circuit model formed by connecting three groups of RC parallel modules and ohmic resistors in series, and establishing a terminal voltage dynamic equation; ohmic resistance is calculated by using voltage break variables at the beginning and the end of a discharge pulse, a polarization process is divided into a zero-state response stage and a zero-input response stage, and polarization voltage nonlinear dynamic equations of all RC modules are deduced respectively. Based on an LM algorithm, a terminal voltage nonlinear function is constructed, polarization resistance and capacitance parameters are iteratively optimized, the error sum of squares of model output and actual data is minimized, and finally high-precision parameter identification is achieved. According to the method, the performance prediction precision of the sodium battery is improved, and reliable data support is provided for related applications.

The invention relates to the field of battery SOC estimation, and discloses a lithium battery SOC estimation method based on dynamic voltage, which is applied to low-end SOC estimation, and comprises the following steps of: calculating a dynamic voltage value according to polarization voltage change generated along with temperature change and current change of a lithium battery calibrated by a discharge OCV curve to obtain a dynamic discharge voltage-SOC curve table; therefore, SOC estimation is carried out according to the currently acquired cell voltage value. The invention also discloses a lithium battery SOC calibration device which comprises a cell monitoring and signal acquisition part for monitoring the voltage, current and temperature of the cell and a processor, and when the SOC is lower than a certain threshold value, the processor adopts the lithium battery SOC estimation method based on the dynamic voltage to correct and calibrate the low-end SOC estimated value of the lithium battery. When iteration continuous judgment is corrected, errors can be effectively avoided, SOC correction is more accurate and reliable, and a guarantee is provided for safe and stable operation of the battery cell.

The invention relates to the related technical field of lead-carbon batteries, in particular to a method and system for evaluating the state of charge of a lead-carbon battery, and the method comprises the steps: building a first-order RC equivalent circuit model, setting dynamic indexes to simulate the open-circuit voltage and current of the lead-carbon battery, and drawing up an SOC-OCV curve; a charge-discharge mode analysis model is constructed, a self-adaptive adjustment strategy is obtained according to a data set, the charge state of the lead-carbon battery is evaluated, and the technical problems that the charge state of the lead-carbon battery is affected by various factors, the actual charge state of the lead-carbon battery under different working conditions cannot be comprehensively reflected, and the evaluation result has deviation are solved. By comprehensively considering the internal resistance change, the polarization voltage, the transient response time and the voltage recovery speed of the lead-carbon battery under different SOCs, the accuracy of state-of-charge evaluation is improved, meanwhile, the method adapts to different application environments and working conditions, and the technical effect of accurately and reliably evaluating the state-of-charge of the lead-carbon battery on the premise of protecting the controllable loss of the lead-carbon battery is achieved.

The invention relates to the technical field of battery management, and particularly discloses a dynamic control method for an intelligent balance management system of a lithium battery module, which comprises the following steps of: acquiring load current of the battery module and end voltage signals of each monomer in real time; calculating instantaneous internal resistance and polarization voltage parameters of each single battery in real time; the terminal voltage is compensated in real time, and a purified open-circuit voltage signal is generated; fusing the charge state reference value with the current integral result, dynamically calculating a confidence index according to a current standing condition and voltage stability so as to perform adaptive weighting, and outputting a smooth charge state estimation value; calculating a balance urgency degree index by combining the estimated value, the real-time temperature and the inconsistency change trend, and generating a differentiated balance control instruction; an energy transfer path is established and controlled according to the instruction, the rate is dynamically adjusted in the process, and operation is terminated when the duration or state consistency condition is met; according to the method, the stability of state estimation and the accuracy, safety and efficiency of balance control under the dynamic working condition are improved.

The invention relates to a doped modified argyrodite type solid electrolyte and a preparation method thereof, and belongs to the technical field of all-solid-state battery materials. The chemical formula of the electrolyte is Li < 5.5 + 2x + 2y > P < 1-x-y > Y < x > Bi < y > S < 4.5-1.5 x-1.5 y > O < 1.5 x + 1.5 y > Cl < 1.5 >, x is greater than or equal to 0.01 and less than or equal to 0.04, and y is greater than or equal to 0.01 and less than or equal to 0.04; the yttrium element and the bismuth element are doped at the P site of the argyrodite type electrolyte, and the oxygen element is doped at the S site of the argyrodite type electrolyte. After the argyrodite type electrolyte is in contact with metal lithium, an interface protection layer rich in lithium oxide can be formed in situ at an interface in a circulating process, so that lithium can be uniformly deposited, the generation of interface side reaction is inhibited, the interface stability of the argyrodite type electrolyte to a lithium metal negative electrode is improved, and the polarization voltage of a symmetrical battery is reduced; and the cycling stability of the all-solid-state lithium metal battery is enhanced.

There is disclosed a method and sensor for detecting a plurality of analytes in bodily fluid, the sensor comprising electrodes including a first working electrode, a second working electrode, a third working electrode, a counter electrode, and a reference electrode; wherein the first working electrode is configured to detect a first signal indicative of a first analyte concentration using potentiometry; wherein the second working electrode is configured to detect a second signal indicative of a second analyte concentration using amperometry; wherein the third working electrode is configured to detect a third signal indicative of a third analyte concentration using amperometry; wherein the first analyte, the second analyte, and third analyte are different analytes; wherein the first signal, the second signal, and the third signal are detected using the same reference electrode; wherein at least part of the detection of the first signal occurs simultaneously with the detection of the second signal; wherein the second signal and third signal are detected using the same counter electrode; wherein at least part of the detection of the second signal occurs simultaneously with the detection of the third signal; and wherein at least one of the second working electrode and third working electrode is continuously polarized by application of a polarization voltage during detection of the first signal, second signal and third signal.

The invention belongs to the technical field of battery state detection, and discloses a lead-acid battery health assessment method and system based on simulated working conditions. Comprising the steps of collecting lead-acid battery simulation operation data and performing data cleaning to obtain high-quality battery data; screening recovery effect data and removing the recovery effect data from the high-quality battery data to obtain disturbance-removed battery data; performing polarization voltage compensation to generate voltage compensation battery data; abnormal impact identification is executed, abnormal data filtering is carried out on the voltage compensation battery data based on an identification result, and reasonable battery data is output; identifying long-period data and performing risk judgment to obtain corrected battery data and cover corresponding data in the reasonable battery data to obtain differentiated battery data; performing health state evaluation on the differentiated battery data, and outputting health indexes of the lead-acid battery; and the evaluation accuracy of the real health level of the battery under the simulated working condition is remarkably improved.

The invention belongs to the technical field of battery detection, and particularly discloses a fuel cell performance evaluation method, system and device and a medium, and the method comprises the steps: collecting the multi-source feature data of a to-be-detected fuel cell in real time; carrying out preprocessing on the multi-source feature data; inputting the preprocessed multi-source characteristic data into an electrochemical-thermodynamic coupling model, and calculating to obtain an activation polarization voltage, an ohmic loss voltage and a concentration polarization voltage; and inputting the multi-modal input features into a pre-trained fuel cell performance health state evaluation model to evaluate the health state index and the remaining service life of the fuel cell to be tested. The accuracy of fuel cell health state and service life detection can be improved.

The invention provides a power battery SOC estimation method and system based on a characteristic model, and relates to the technical field of SOC estimation, and the method specifically comprises the steps: obtaining three characteristic parameters of an open-circuit voltage, an internal resistance and a polarization voltage of a battery, introducing a temperature and aging correction mechanism, building a relation curve between the characteristic parameters and the SOC, and calculating the SOC of the battery according to the relation curve; mapping the characteristic parameters into SOC values through a fitting formula; constructing an SOC fusion model based on a relation formula of the calibrated characteristic parameters and the SOC, synthesizing SOC estimated values of the characteristics into a comprehensive estimated value by using a weighted linear combination method, dynamically adjusting weights of the characteristics through a particle swarm optimization algorithm, and determining an optimal weight coefficient; through the extended Kalman filtering, the comprehensive estimation value output by the model is corrected in real time, the SOC change is predicted based on the state transition equation in the correction process, the deviation between the estimation value and the true value is updated in combination with the measurement equation, and the real-time performance and reliability of SOC estimation are improved.

The invention provides a self-powered polarized photoelectric detector, a preparation method thereof and a method for regulating and controlling the polarization ratio of the self-powered polarized photoelectric detector. The structure of the self-powered polarized photoelectric detector comprises a conductive substrate layer, a two-dimensional perovskite ferroelectric film layer, a semiconductor material layer and a metal top electrode layer from bottom to top. The two-dimensional perovskite ferroelectric film layer and the semiconductor material layer can form a heterojunction with polarization property. Different polarization voltages are applied to the polarization photoelectric detector, the intensity of an electric field built in the two-dimensional perovskite ferroelectric film heterojunction is regulated and controlled, and the polarization ratio of the polarization sensitive photoelectric detector is dynamically regulated and controlled. The invention provides a convenient method for dynamically regulating and controlling the polarization ratio of the polarization sensitive photoelectric detector by using a ferroelectric-pyroelectric electro-optical electronic effect, and the regulation and control of the polarization ratio are realized on the same polarization device.

The invention belongs to the technical field of battery management systems, and particularly relates to a battery state-of-charge estimation method for resisting a voltage sensor fault, which comprises the following steps: S1, data acquisition and system initialization; s2, state prediction; s3, measurement updating and online compensation are carried out; and S4, recursive circulation is carried out. According to the method, the direct-current bias quantity generated by a voltage sensor due to zero drift is widened into a state variable of a battery model, and the state variable, ohm internal resistance, polarization internal resistance, polarization voltage and charge state of a battery jointly form an expansion state vector; and performing real-time recursive estimation on the extended state vector by adopting an unscented Kalman filtering algorithm, and simultaneously obtaining an estimated value of the offset of the sensor and an estimated value of the SOC of the battery subjected to deviation compensation. Through combination of state extension and unscented Kalman filtering, fault bias of the voltage sensor can be identified and compensated online, non-Gaussian noise interference is effectively suppressed, and accuracy and robustness of battery SOC estimation in a complex industrial environment are remarkably improved.

The invention discloses a power battery health degree real-time detection method based on pile end charging data, and relates to the technical field of power battery state monitoring, and the method comprises the following steps: S1, collecting the voltage, current, temperature and time sequence data of a power battery output by a charging pile in a charging process in real time; s2, extracting characteristic parameters of a charging curve in a constant-current charging stage from the data in the step S1, wherein the characteristic parameters comprise a voltage inflection point, a charging acceptance rate and a polarization voltage; s3, inputting the characteristic parameters into a pre-trained SOH prediction model to obtain a preliminary SOH prediction value; and S4, correcting the preliminary SOH predicted value by adopting a temperature-multiplying power coupling correction algorithm. According to the method, data such as the voltage, the current and the temperature collected by the charging pile in the charging process are directly utilized for analysis, the operation that a battery needs to be disassembled in a traditional method is avoided, the structural integrity and the sealing performance of the battery are protected, and the safety and the convenience of detection are improved.

The invention relates to an electric vehicle battery pack SOH estimation method for extracting polarization characteristics from real vehicle dynamic working conditions, and belongs to the technical field of batteries. In order to solve the problem that an existing method depends on laboratory data and complete charging fragments and cannot effectively utilize polarization characteristics caused by current switching in a dynamic working condition, the SOC distribution at the current switching moment is analyzed based on a multi-stage constant-current charging curve by arranging battery operation data and preprocessing and extracting the charging fragments; and screening a feature extraction interval and setting a dynamic threshold value, extracting features such as polarization voltage difference and current variation from representative monomers, and constructing a two-stage machine learning model to realize SOH estimation. The method breaks through the traditional static characteristic limitation, utilizes the instantaneous polarization effect of current switching under the dynamic working condition, remarkably improves the real vehicle data utilization rate and the characteristic representation capability, effectively improves the battery pack health state evaluation precision, and meets the large-scale rapid detection requirement of the electric vehicle.

A battery inspection method comprises charging a battery to a fully charged state, determining, when the charging is finished while the battery is in a fully charged state, deviation of an open circuit voltage (OCV) value of each of a plurality of cells included in the battery at a first time point after a preset first reference time has elapsed from a time point of finishing the charging while considering polarization voltage, and determining, according to a result of comparing the determined deviation with a preset first reference value, whether an internal short circuit has occurred in the battery on the basis of the open circuit voltage (OCV) value of each of the plurality of cells or a state of charge (SOC) of each of the plurality of cells.

The embodiment of the invention provides a battery open-circuit voltage correction method and device, a vehicle, a medium and a product. The method comprises the following steps: when the standing time of a to-be-tested battery represents that the to-be-tested battery does not enter a steady-state response, determining the polarization voltage of the to-be-tested battery in the standing time according to the polarization attenuation degree of the to-be-tested battery; the polarization attenuation degree of the to-be-detected battery is determined according to the standing time and the polarization time constant of the to-be-detected battery; and according to the polarization voltage of the to-be-measured battery in the standing time, correcting the open-circuit voltage of the to-be-measured battery obtained in the standing time to obtain the corrected open-circuit voltage of the to-be-measured battery. The method is used for achieving the effect of improving the measurement accuracy of the OCV.

The invention discloses a solid electrolyte, a lithium-based energy storage device and a preparation method, the solid electrolyte is obtained by curing an electrolyte through an ultraviolet lamp, the electrolyte comprises polyethylene glycol dimethacrylate, an initiator and a monomer, and the monomer contains a fluorosulfonyl group and an ester group; a monomer side chain contains fluorosulfonyl, so that the crystallinity of the polymer can be reduced, a passivation layer is effectively formed on the surface of a lithium negative electrode, and an electrochemical window of the battery is expanded, so that the cycle life of the battery is prolonged, and a formed flexible polymer skeleton can increase the compatibility between an electrolyte and an electrode, so that the interface resistance is reduced; the passivation layer can homogenize an interface electric field and regulate and control diffusion of lithium ions, so that dendritic crystal growth is effectively inhibited, and compact and uniform deposition is realized; according to the lithium-based energy storage device applying the electrolyte containing the monomer, the cycle life of a lithium half battery can be greatly prolonged, the utilization rate of a lithium metal negative electrode is remarkably improved, the polarization voltage of the battery is effectively reduced, and the coulombic efficiency of the battery is remarkably improved.

The invention discloses a high-precision intelligent battery residual capacity detection method and device, and relates to the technical field of battery capacity detection. The method comprises the steps of collecting end current and end voltage of a target battery module in real time, and judging whether the target battery module triggers a characteristic load scene or not; when the characteristic load scene meets any one of a plurality of triggering conditions, recording a triggering moment; analyzing a polarization voltage difference value based on the trigger time, and introducing a polarization energy loss model to perform polarization loss analysis on the polarization voltage difference value to obtain polarization loss data; obtaining the basic battery residual capacity of the target battery module; and performing polarization loss correction on the residual capacity of the basic battery by taking the polarization loss data as correction data to obtain and output the corrected residual capacity of the battery. The technical problem that the detection precision of the residual capacity of the battery is low due to the fact that the influence of battery polarization on the residual capacity is not fully considered in the prior art is solved, and the technical effect of improving the detection precision of the residual capacity of the battery is achieved.

The invention discloses a paper-based diaphragm for alkaline water electrolysis and a preparation method of the paper-based diaphragm. A PPS / aramid fiber porous base material is prepared by adopting a wet non-woven process, a PVA-polymer quaternary ammonium salt blending layer is constructed on one side of the base material, OH <-> conduction is promoted by utilizing a quaternary ammonium group of polymer quaternary ammonium salt, and a three-dimensional network is formed through glutaraldehyde crosslinking. According to the paper-based diaphragm prepared through the method, when the porosity is 60.4%, the strength still reaches 8.98 MPa, the surface resistance of the diaphragm is greatly reduced to 68 m omega.cm < 2 >, the ionic conductivity synchronously jumps to 515 mS.cm <-1 >, the electrolytic current density is promoted to reach 1474 mA under the polarization voltage of 2.0 V, the vertical swelling rate of the diaphragm is stabilized at 12% through the cross-linked functional layer, and the paper-based diaphragm has the advantages that the paper-based diaphragm can be applied to the field of lithium ion batteries. The diaphragm achieves an optimal balance in key indexes such as aperture, strength, ionic conductivity and alkali liquor stability.

A piezoelectric actuator comprises a stack of a plurality of piezoelectric films, a piezoelectric element having electrodes disposed between the piezoelectric films and at both end surfaces, and a drive circuit. Each of the plurality of piezoelectric films has asymmetric polarization-voltage hysteresis characteristics with two different absolute values of coercive voltage. The drive circuit applies a unipolar voltage waveform that generates an electric field in the same direction as the direction of spontaneous polarization in at least one layer from among the plurality of piezoelectric films and generates an electric field in the direction opposite to the direction of spontaneous polarization in the other piezoelectric films. A minimum voltage value V1 having a minimum absolute value in the unipolar voltage waveform is set such that the ratio of the slope T0 at 0 [V] to the slope T1 at the minimum voltage value V1 [V] in a hysteresis curve indicating bipolar polarization-hysteresis characteristics in another piezoelectric film satisfies |T0 / T1| ≥ 1.5.

The invention relates to the technical field of lithium ion batteries, in particular to a lithium battery electrolyte additive, an electrolyte and a lithium battery, the lithium battery electrolyte additive comprises lithium trifluoromethanesulfonate and an additive component A. The additive component A has dicyano groups, and the mass ratio of the lithium trifluoromethanesulfonate to the additive component A is (0.5%-1%): (0.5%-1%), anions in the lithium trifluoromethanesulfonate have high oxidation stability and can inhibit oxygenolysis of the electrolyte at high temperature, and meanwhile, the charge delocalization effect of the lithium trifluoromethanesulfonate can improve the transference number of lithium ions and reduce concentration polarization; the dicyano group of the additive component A is preferentially complexed with dissolved transition metal ions, forms a compact interfacial film on the surface of a positive electrode, inhibits side reactions, and cooperates with lithium trifluoromethanesulfonate to reduce the polarization voltage of the battery, improve the initial DCR, improve the rate discharge performance and the high-temperature storage performance, and improve the performance of the lithium ion battery; the problem of poor high-temperature stability of the lithium ion battery in the prior art is solved.

The invention relates to the technical field of fuel cell control, in particular to a staged optimization control method for a fuel cell cold start-up process, which comprises the following steps of: acquiring output voltage and current of an electric pile and a cooling liquid inlet temperature signal in real time at the initial start-up stage, calculating a dynamic load impedance amplitude and inputting the dynamic load impedance amplitude into a polarization characteristic coupling estimation model; ohm, activation and concentration polarization voltage drop estimation values are obtained. And comparing the three types of estimated values with a preset polarization threshold to determine a polarization dominant stage, and calling corresponding temperature and humidity control parameters from a preset control strategy mapping table in combination with the cooling liquid inlet temperature. According to the method, polarization stages are accurately divided through polarization decoupling estimation, the control parameters are matched based on the mapping relation, the cold start control logic of the fuel cell is optimized, and the suitability of the cold start control of the stack and the actual operation state is improved.

The invention provides a charging control method and device for a power battery without lithium precipitation and a vehicle, and the charging control method comprises the steps: correspondingly obtaining a battery parameter according to a to-be-estimated parameter in an equivalent circuit model based on the equivalent circuit model corresponding to the target power battery when the target power battery is charged; updating the battery parameters by using the parameter identification network model to quantify the aging characteristics of the target power battery to obtain target battery parameters corresponding to the battery parameters; and based on the target battery parameters, determining a state-of-charge estimated value and a polarization voltage predicted value of the target power battery, performing rolling optimization by using the prediction model, and determining a terminal voltage predicted value of the target power battery so as to control the cathode potential of the target power battery, so that the target power battery has no lithium precipitation phenomenon in the charging process. By means of the method, the effectiveness and safety of lithium precipitation-free charging control of the power battery are improved, and then the cost of charging control is reduced.

Disclosed is an apparatus and method for controlling step charging of a secondary battery. A charging control unit determines a SOC, an OCV and a polarization voltage of the secondary battery, determines an OCV deviation corresponding to a difference between the OCV and a predefined minimum OCV value, determines a correction factor corresponding to the polarization voltage and the OCV deviation, determines a look-up SOC by correcting the SOC according to the correction factor, determines the magnitude of a charging current corresponding to the look-up SOC, and provides the determined charging current to a charging device.

The invention discloses an all-vanadium redox flow battery control method and device, a storage medium and electronic equipment. The method comprises the following steps: acquiring actual measurement data of the all-vanadium redox flow battery; performing parameter optimization on a fractional order state-space equation and a fractional order measurement equation constructed based on the all-vanadium redox flow battery according to actual measurement data; based on the fractional order state-space equation, the fractional order measurement equation and the actual measurement data, predicting the charge state and terminal voltage of the all-vanadium redox flow battery at the second moment; and when the deviation between the measured value at the first moment and the predicted value at the second moment is greater than a preset threshold value, adjusting the working current of the all-vanadium redox flow battery according to the measured value at the first moment and the predicted value at the second moment. According to the method, the dependence of the polarization voltage on the historical state and the non-uniform characteristic of ion diffusion are described by means of the fractional order state-space equation, and the charge state and the terminal voltage at the next moment can be predicted more accurately in combination with the actually measured data at the first moment.

A method of calibrating a resonator having a resonant member that can vibrate in a first mode of vibration, and a calibration electrode that is spaced from a capacitively coupled to the resonant member, the method comprises: applying a polarization voltage to the resonant member and a calibration voltage to the calibration electrode, wherein the polarization voltage is a negative voltage; vibrating the resonant member such that the resonant member vibrates in the first mode of vibration; measuring a frequency parameter of the resonant member; determining if the frequency parameter is in compliance with a predetermined threshold; and if the frequency parameter is not in compliance with the predetermined threshold, adjusting the frequency parameter to be in compliance with the predetermined threshold by adjusting at least one of the polarization voltage and the calibration voltage.