270 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 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.

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 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.

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 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.

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.

The invention relates to the technical field of percutaneous analyte measurement, in particular to a sensitivity determination method, a percutaneous analyte continuous detection system and a storage medium. The sensitivity determination method is applied to a percutaneous analyte continuous detection system, the percutaneous analyte continuous detection system is provided with a sensor capable of being implanted under the skin of a human body, and the method comprises the following steps: when the sensor is in contact with an in-vitro analyte solution, applying polarization voltage to the sensor so as to enable the sensor to perform polarization reaction; acquiring an electric signal value generated based on the polarization reaction; and determining the sensitivity of the sensor based on the electric signal value and the concentration value of the analyte in the analyte solution.

The invention discloses a battery equalization control method, device and equipment and a storage medium, and belongs to the technical field of vehicles. The method comprises the following steps: respectively determining a first open-circuit voltage, a second open-circuit voltage, an ohmic internal resistance, a first polarization resistance, a second polarization resistance, a first polarization capacitance, a second polarization capacitance, a first polarization voltage and a second polarization voltage under the condition that a first voltage difference between a highest voltage and a lowest voltage is greater than a first preset threshold value; and determining the first equalization current at different moments, and performing equalization control on the second battery cell based on the first equalization current at different moments. Therefore, the equalizing current determined by the method changes along with time, so that the voltage drop compensation can be increased, the equalizing time of the second battery cell can be prolonged, the voltage difference between the first battery cell and the second battery cell can be shortened to a greater extent, and the charging and discharging performance of the battery can be improved.

The application discloses a multi-target scheduling method of a photovoltaic energy storage hybrid device and relates to the technical field of new energy energy storage. The method comprises the following steps: monitoring the irradiance fluctuation characteristics of a photovoltaic power generation area in real time to lock the fluctuation risk; in response to a risk trigger signal, calculating the internal concentration polarization voltage of a battery in real time and quantifying the polarization approximation degree; based on the polarization approximation degree, using a gradual barrier model with nonlinear growth characteristics to calculate the length of the forced static period; and finally generating a pulse power instruction sequence composed of working pulses and forced static periods alternately. The application inserts a physical static time window when the micro electrochemical boundary approaches a critical point, uses the spontaneous diffusion of ions to eliminate accumulated concentration polarization, thereby meeting the rigid power support demand of the power grid while avoiding triggering the overvoltage protection of the battery, and realizing high-fidelity execution of the scheduling instruction.

The invention relates to the technical field of battery detection, in particular to an open-circuit voltage fitting method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining test data obtained through the pulse charging and discharging test of a battery; according to the test data, a first model parameter in a target fitting model is assigned, in the target fitting model, a battery end voltage is equal to the superposition of an ohm voltage drop, a charge transfer polarization voltage drop, a diffusion polarization voltage drop and an open-circuit voltage, and a second model parameter in the target fitting model is assigned; the first model parameters comprise ohmic impedance in the ohmic voltage drop, reaction impedance in the charge transfer polarization voltage drop and diffusion impedance in the diffusion polarization voltage drop; and on the basis of the target fitting model, open-circuit voltages of the battery in different charge states are obtained, and the different charge states correspond to different battery terminal voltages. Therefore, the estimation speed of the open-circuit voltage and the prediction accuracy of the open-circuit voltage are improved by adopting a pulse charging and discharging test and model fitting mode.

The utility model discloses a wide-range laboratory universal type hydrogen flame ionization detector in the technical field of detectors, which comprises a shell, the interior of the shell is hollow, the interior of the shell is fixedly connected with an FID main body, the top end of the FID main body is fixedly connected with an FID nozzle head, and the outer wall of the bottom end of the FID main body is fixedly connected with a heating block main body. The top of the shell is fixedly connected with a collection shell, a collector is arranged in the collection shell, one end of the collection shell is fixedly connected with a high-voltage line in a penetrating manner, the top of the collection shell is fixedly connected with a top block, and an air outlet is formed in the outer wall of the top end of one end, close to the high-voltage line, of the top block in a penetrating manner; the outer wall of the end, away from the high air outlet, of the shell is fixedly connected with a connecting pipe. Through the overall design of the structure, the overall structure of the device is compact, meanwhile, the sensitivity of the detector is improved, the requirement for polarization voltage is low, the size is small, installation is convenient, durability is high, and the actual use effect of the detector is improved.

The application discloses a reconfigurable logic unit, a control method and a reconfigurable logic system for implementing complete Boolean logic, and belongs to the technical field of integrated circuit design. The reconfigurable logic unit comprises one P-type MOSFET and four N-type FeFETs. In the four N-FeFETs, two N-FeFETs are connected in parallel, the drain thereof is connected with the drain of the P-MOSFET, and the source thereof is connected in series with the drain of another set of two N-FeFETs connected in parallel. The reconfigurable logic unit takes the gate of the N-FeFET as an input terminal, and can realize logic reconfiguration under the control of the polarization voltage applied to the gate by fully utilizing the polarization characteristics of the ferroelectric device. The reconfigurable logic unit can support the dynamic reconfiguration of 16 complete Boolean logics by only using one P-type MOSFET and four N-type FeFETs, has the advantages of small layout area, low computing power consumption, strong reconfiguration capability, compatibility with CMOS and easy process integration, and the like.

The utility model discloses a metformin hydrochloride electrochemical analysis device which comprises a shell, and one side of the shell is provided with an electric sensor interface; the power supply unit is arranged in the shell and is used for generating polarization voltage; the silk-screen printing electrode electric sensor is electrically connected with the power supply unit and comprises a flexible electrode base body, a working electrode, a counter electrode, a reference electrode, an insulating layer, a wiring terminal and an electrode connecting wire, and the working electrode, the counter electrode, the reference electrode, the insulating layer, the wiring terminal and the electrode connecting wire are arranged on the flexible electrode base body; the surface of the working electrode is modified with an imprinted polymer with selective recognition on metformin hydrochloride; the signal processing unit is arranged in the shell and comprises a shunt resistor, an operational amplifier, a signal converter, a data storage chip and a microprocessor which are electrically connected in sequence; the display screen is electrically connected with the microprocessor and is used for displaying the converted concentration value; the method has the advantages that the metformin hydrochloride can be rapidly and accurately detected, and the use is relatively convenient.

The invention belongs to the technical field of energy materials, and discloses a preparation method of a zinc-based porous organic polymer coating and application of the zinc-based porous organic polymer coating to protection of a zinc negative electrode. Reaction raw materials of the zinc-based porous organic polymer provided by the invention are cheap soluble zinc salt and pyromellitic acid, and the zinc-based porous organic polymer is obtained through a one-step solvothermal reaction. Polyvinylidene fluoride (PVDF) is adopted as a binder, and Zn-POPs is loaded on the surface of the zinc negative electrode in the modes of spin coating, blade coating, spray coating and the like. According to the Zn-POPs protective coating provided by the invention, the concentration distribution of zinc ions on an interface can be dynamically regulated and controlled by an unsaturated coordinate bond, and a dendrite-free zinc negative electrode is realized. Meanwhile, the coating can isolate direct contact between the electrolyte and the negative electrode, so that corrosion of the zinc negative electrode and generation of byproducts are reduced; when the coating is applied to a symmetric battery and a total battery, the battery can show low polarization voltage and stable cycle performance, the advantages of the coating are further highlighted, and subsequent large-scale industrial production can be expected.

The present invention belongs to the field of NEMS micro-pressure sensitive sensor design, specifically a PZT-based graphene composite pressure-sensitive thin film structure based on the flexoelectric polarization-enhanced force-electric coupling mechanism, which includes a Si / SiO2 substrate. A back cavity is provided on the Si / SiO2 substrate. A metal layer of pt / Ti is sputtered on the front surface of the Si / SiO2 substrate. A PZT ferroelectric thin film is sputtered on the metal layer of pt / Ti. A graphene thin film is on the PZT ferroelectric thin film. Metal electrodes are sputtered on both sides of the graphene thin film. A packaging substrate is on the back surface of the Si / SiO2 substrate. The present invention regulates the graphene thin film through the polarization voltage generated by the bending of the PZT ferroelectric thin film, applies a bias voltage to the graphene thin film, indirectly characterizes the transport of graphene carriers through the output current of the circuit, and further characterizes the change in the energy band of the graphene thin film, completing the exploration of the mechanism of regulating the energy band structure and electrical transport of graphene by PZT flexoelectric polarization, and completing the design of a high-sensitivity force-electric coupling PZT-based graphene composite pressure-sensitive thin film structure.