289 results about "Voltage response" patented technology

The invention relates to the technical field of power consumption management, in particular to a pump station unit energy consumption real-time analysis system which comprises a load feature extraction module, a frequency stability recognition module, a start-stop window recognition module, a voltage response regulation and control module and a signal filtering module. According to the method, a sliding trend sequence is constructed through load state data and current increment information, slope abrupt change points are identified, trend direction classification is carried out, accurate identification of a frequency operation stability section is realized in combination with frequency variation amplitude, and a regulation and control time window is constructed through trend consistency judgment of energy consumption and flow in the same time domain. A voltage input strategy is set according to the trend change rate, a mapping table is formed, signal filtering and recovery are achieved through trend continuity judgment in confidence evaluation of energy consumption labels, and the behavior segmentation precision, the adaptability of electric energy input regulation and control and the continuity and controllability of overall operation state recognition in the energy consumption monitoring process are effectively enhanced.

The invention belongs to the technical field of quality detection, and discloses an electrical automation quality detection method and system. The method comprises the steps of collecting original voltage and current signals of a PCC point of a power grid and performing FFT to obtain a background harmonic frequency set and a background harmonic amplitude set; generating an initial frequency grid based on a preset target frequency band, and generating a sparse frequency grid in combination with the background harmonic waves; calculating the estimated signal-to-noise ratio of each candidate frequency, performing ascending sorting to obtain an injection sequence, injecting sinusoidal signals, collecting PCC point voltage response and total current, and calculating a frequency impedance data pair; performing rational function fitting based on the frequency impedance data to obtain a broadband impedance curve; analyzing the curve, extracting quality characteristic parameters, and performing quality judgment according to the parameters; according to the method, the technical problem that the grid-connected stability quality of a single new energy converter cannot be quickly and automatically qualified in a production line offline detection scene in the prior art is effectively solved.

The invention discloses an LED display screen brightness uniformity correction method and system based on current feedback, and relates to the technical field of brightness correction.The method comprises the steps that firstly, a vertical blanking period time sequence empty window is utilized, high-low double-amplitude detection current is injected into LED pixels, and voltage responses in different excitation states are obtained on the premise that normal display is not interfered; then, constructing a state decoupling model based on a reference I-V-T characteristic spectrum, and deeply analyzing coupled electrical signals into independent real-time junction temperature and aging factors by using differential sensitivity characteristics of voltage to temperature and aging; and then, on the basis of the physical state parameters, reverse compensation operation is performed in combination with an original gray instruction and a reference L-I brightness model, and target driving current capable of counteracting thermal quenching and aging attenuation is dynamically deduced. In this way, the correction problem caused by deep coupling of temperature drift and device aging can be effectively solved, and therefore self-adaptive high-precision brightness uniformity correction in the full life cycle of the display screen is achieved.

The invention relates to the technical field of electrical parameter measurement, in particular to an SOC prediction method and system applied to a lithium battery. The method comprises the following steps: collecting an electrical variable parameter set of the lithium battery in a current operation period, and determining an electric quantity change value and a change trend of terminal voltage; dividing a voltage response state of the lithium battery in each operation stage to determine an operation state mapping relation; predicting the state of charge of the lithium battery in the current operation period by using the operation state mapping relation; in response to the first change of the operation condition of the lithium battery, collecting a current electrical variable parameter set of the lithium battery to correct the operation state mapping relation; and predicting the state of charge of the lithium battery after the first change of the operation condition according to the corrected operation state mapping relation. The method is beneficial for dynamically adapting to unsteady state behaviors of the lithium battery in different working states, SOC prediction lag and fluctuation caused by working condition changes are effectively reduced, and the dynamic response capability and reliability of prediction are improved.

The invention relates to the technical field of charging optimization, and discloses a multi-stage charging optimization method based on adaptive identification of a battery, and the method comprises the following steps: S101, in-situ detection and battery type identification; step S102, applying a current step and collecting a voltage response; s103, predicting the change of the terminal voltage along with time; step S104, determining a safe amplitude limiting current; step S105, determining a pre-deceleration factor; and step S106, judging full power, generating a quota recovery instruction, and returning to the step S104 for redistribution. Battery individual parameters are obtained through in-situ detection and micro-pulse identification, current quotas are dynamically distributed based on a constant voltage proportion, a safe target current is determined by combining voltage and power amplitude limiting, current distribution unbalance is avoided, the bus current utilization rate is maximized, voltage overshoot is inhibited by means of a first-order following strategy and a pre-deceleration factor, and the safety of a battery is improved. And stable switching is ensured by matching with constant-voltage inlet current clamping.

The invention belongs to the technical field of energy storage system state monitoring, and provides a lithium ion energy storage system abnormal state identification method and system based on impedance spectrum analysis, and the method comprises the steps: carrying out the decoupling of voltage response data and current response data through employing an excitation-response decoupling algorithm under a dynamic working condition, and obtaining an impedance spectrum; obtaining a voltage response component and a current response component; obtaining the total impedance spectrum of the lithium ion energy storage system under the current working condition; constructing a system-level impedance cloud picture; calculating a difference value between the current impedance spectrum and the weighted moving average baseline spectrum based on the system-level impedance cloud atlas to obtain an enhanced difference cloud atlas; and performing non-uniform segmentation and feature extraction on the enhanced difference cloud picture by using a visual Transform model oriented to electrochemical prior to obtain a multi-dimensional abnormal probability vector, and obtaining an abnormal state type of the lithium ion energy storage system based on the multi-dimensional abnormal probability vector. According to the technical scheme, the accuracy, timeliness and reliability of abnormal state recognition of the energy storage system are remarkably improved.

The invention relates to the technical field of converter control, and provides a self-adaptive virtual impedance optimization method for a grid-forming type energy storage converter under a weak power grid, which comprises the following steps: injecting a multi-frequency-band collaborative disturbance signal into the power grid, acquiring a voltage response signal and a current response signal of the power grid, and carrying out online scanning and identifying the impedance characteristics of the power grid; establishing a power grid impedance model; constructing a real-time digital twinborn model synchronously operating with the physical converter, wherein the real-time digital twinborn model integrates the power grid impedance model and a multi-time scale state space model of the network-constructing type energy storage converter; and downloading the optimized virtual impedance parameter set to the physical networking type energy storage converter for execution, and performing closed-loop control of the adaptive virtual impedance. Therefore, the broadband stability and the dynamic performance of the network-forming type energy storage converter in the time-varying weak power grid environment are improved.

The invention discloses an automatic test method and system for a resistor. The method comprises the following steps: acquiring a to-be-tested resistor; configuring a dynamic impulse voltage gradient parameter and a staged acquisition strategy for the to-be-tested resistor; based on the dynamic impulse voltage gradient parameter and a staged acquisition strategy, acquiring response voltage, response current and temperature data of the to-be-tested resistor under different impulse voltages as target data; performing feature extraction on the target data, and determining an anti-surge index and an impact response consistency index corresponding to the to-be-tested resistor based on the extracted features; generating a test report according to the anti-surge index and the impact response consistency index; the resistor performance data is acquired in multiple dimensions, and the resistor is accurately tested based on a resistor performance evaluation quantification system.

The invention relates to the technical field of battery management, and discloses a battery health state evaluation method and system for an electric tool energy supply device, and the method comprises the steps: obtaining multi-source sensor data in the operation process of an electric tool, and carrying out the preprocessing of the data; identifying and classifying multi-stage pulse discharge events, extracting multi-scale voltage response features and performing temperature compensation; equivalent circuit model parameter identification is carried out, abnormal identification results are checked and removed, and parameter aging characteristics are extracted; constructing a time sequence prediction model for prediction; evaluating the overall health state and the monomer consistency of the battery pack; defining a judgment standard of effective cycles, predicting the number of remaining effective cycles, calculating a confidence interval of a prediction result, and generating a battery management suggestion; formatting into a standardized evaluation report, carrying out data synchronization and model optimization through edge cloud collaboration, and recording a system operation log; according to the invention, accurate health state evaluation and residual life prediction are realized.

The invention relates to the technical field of storage battery monitoring, and discloses a storage battery operation state visual monitoring method and system based on an electrochemical impedance and polarization internal resistance technology. The method comprises the following steps: sequentially applying sine wave alternating current excitation signals of a plurality of frequency points to a to-be-monitored storage battery, and synchronously drawing a first Nyquist graph; applying pulse discharge excitation in a floating charge state of the to-be-monitored storage battery, and acquiring a current signal and a terminal voltage signal in real time to obtain a polarization internal resistance estimated value; calculating a high-frequency intercept change rate according to the first Nyquist graph and a second Nyquist graph under a corresponding environment condition; and performing visual graphic display on the first Nyquist graph, the impedance parameter set, the voltage response waveform corresponding to the polarization internal resistance estimation value and the comprehensive aging index. According to the invention, a visual and clear battery operation state monitoring result can be provided for operation and maintenance personnel.

The invention belongs to the field of battery thermal runaway early warning, and particularly relates to an early warning method and device for thermal runaway of a lithium ion battery pack, and the method comprises the steps: firstly collecting the voltage, temperature and current data of a battery cell, and judging the grade of a current working condition according to a preset rule; self-adaptively matching a corresponding alternating current excitation strategy according to the working condition grade and applying excitation; synchronously acquiring the compensated excitation current and the voltage response of each battery cell through a sampling chip configured with a compensation strategy; based on the response information, a multi-dimensional impedance anomaly judgment strategy is combined, and a judgment parameter set containing impedance deviation, thermal runaway risk, voltage and temperature deviation flag bits is calculated and generated; and finally, determining the thermal runaway risk level of the battery pack through an evaluation algorithm according to the parameter set, and packaging and reporting the thermal runaway risk level through CAN communication. According to the invention, on-line and accurate sensing and early warning of the internal state of the battery under various working conditions such as standing and dynamic operation are realized.

A pumped storage unit main transformer winding inter-turn short circuit fault diagnosis positioning method and system, comprising: pulse injection is carried out on the main transformer of the pumped storage unit in the shutdown state, and the voltage response waveform is obtained; the characteristic waveform is calculated, the different connection modes of the pumped storage unit main transformer winding are combined, whether the pumped storage unit main transformer winding exists fault and the fault phase are judged; the VMD decomposition optimization model and the NTEO wave head extraction optimization model with optimal parameters are constructed, and the instantaneous energy spectrum is obtained based on the model and any characteristic phase containing characteristic phase; the fault positioning formula is constructed based on the instantaneous energy spectrum, the fault positioning formula corresponding to the relationship between the characteristic phase and the fault phase in the voltage response waveform is selected according to the relationship between the characteristic phase and the fault phase, and the positioning of the fault coil is obtained. The method has high reliability, high fault diagnosis accuracy and small positioning result error, and can meet the needs of pumped storage unit main transformer winding inter-turn short circuit fault diagnosis and positioning in engineering.

The invention discloses a digital voltage compensation method, which relates to the technical field of power systems, and comprises the following steps: monitoring output voltage signals and load current signals of each point of a power grid in real time, establishing an output voltage digital sequence and a load current digital sequence, and extracting dynamic characteristic variables of current load current representing the change trend of a future time period; judging the working mode of the current running state; based on the voltage digital sequence, comparing with the reference voltage, calculating a real-time-reference voltage feedback compensation amount, taking the dynamic characteristic variable as input, establishing a load-voltage response prediction model, generating a voltage deviation prediction value in a future control period, and obtaining a voltage feed-forward compensation amount; and the current working mode is identified according to the working mode, a dynamic weight coefficient is given to the real-time-reference voltage feedback compensation amount and the voltage feed-forward compensation amount, the final compensation control amount of the voltage of each point of the power grid is calculated, and a driving signal is generated to dynamically adjust the voltage of each point of the power grid in real time and accurately. The power quality of the power grid is improved.

The present application relates to the technical field of electric fault detection, in particular to a pressure sensitive device damage diagnosis system combined with pulse test, comprising the following modules: an original signal acquisition module, inputting pulse sequences to the pressure sensitive device, recording voltage response signals and current response signals under each pulse sequence respectively, and generating a response signal set; based on the response signal set, wavelet decomposition is performed on the voltage response signals and the current response signals. In the present application, the pulse sequences are inputted and the voltage response signals and the current response signals under each pulse sequence are recorded, so that the data acquisition covers different working states and reduces the feature loss caused by a single test point. The voltage response signals and the current response signals are divided into different frequency intervals by using the wavelet decomposition method, which is helpful to separate the high-frequency and low-frequency features, so that the local abnormal signals are not covered by the global features, and the analysis ability for short-time fault features is enhanced.

The present application relates to organic light emitting display data processing technical field, especially high resolution organic display driving waveform generation method, through distributed parameter analysis, pixel matrix is divided into spatial block, using GPU node parallel extraction parasitic parameter and construct cross block coupling model, generate block parasitic parameter mapping table and characteristic vector matrix;Based on the residual charge data and dynamic gray scale segment control generation contains curvature parameter segmented waveform parameter set;Call brightness and voltage response data to execute nonlinear brightness correction, combined with light intensity feedback loop to generate compensation pulse parameters;According to the display content feature classification switch multi mode driving strategy, through phase locked loop phase synchronization to eliminate time sequence fault, the present application effectively suppresses parasitic effect interference and brightness mutation overshoot, improves the gray scale compensation accuracy and refresh rate synergy, enhances the display uniformity and dynamic picture smooth.

The invention discloses a Caputo definition-based lithium battery fractional order model modeling and online parameter identification method and system, and belongs to the technical field of lithium battery state-of-charge estimation. The method comprises the following steps: in a traditional equivalent circuit model, replacing an ideal capacitor with a constant phase element; establishing a fractional order differential equation, replacing an ideal capacitor with a constant phase element, and expressing the relationship between the voltage response and the input current of the battery as the fractional order differential equation; deriving zero input response and zero state response through Laplacian transformation; performing Laplacian transformation on the fractional order differential equation to obtain two components of voltage response, namely the zero input response and the zero state response; simplification of zero state response is carried out; and deriving a discretization recursion formula of the voltage according to the zero input response and the zero state response to obtain the discretization recursion formula of the voltage. According to the method, real-time recursive updating of the model is realized, and storage requirements are greatly reduced.

Systems and techniques are disclosed for improving real-time tissue characterizations during endovascular procedures. In some implementations, a method involves characterizing biological tissue for an endoluminal procedure. A first electrode is positioned within an endoluminal space adjacent to a region of biological tissue. A second electrode is positioned spatially separated from the first electrode. A variable-frequency input electrical signal is applied across the first electrode and the second electrode to generate an electrical field corresponding to the region. A voltage response is measured between the first electrode and the second electrode based on the electric field. A voltage phasor is determined based on the voltage response relative to the variable-frequency input electrical signal. A characteristic of the region is determined based on the voltage phasor.

This invention provides a converter impedance measurement method that overcomes the influence of nonlinearity. By injecting voltage disturbance signals of different frequencies and amplitudes multiple times, the impedance is determined based on the voltage and current responses of the voltage disturbance signals. The method also takes into account the voltage and current responses caused by circuit disturbances, which can effectively avoid the influence of nonlinear behavior in the process of determining the impedance group of the converter under test, ensure the final measurement accuracy, and provide accurate data reference for subsequent impedance stability analysis and the formulation of impedance stabilization strategies.

The invention relates to the technical field of electrical performance testing of a hydrogen production system, and discloses a key parameter monitoring and early warning method in a PEM water electrolysis hydrogen production process. The method comprises the following steps: injecting a composite excitation signal into an electrolytic cell, wherein the amplitude is related to real-time working current density and average temperature; acquiring multi-dimensional operation parameters, and performing time-frequency domain combined processing on the voltage response signal to obtain a time-frequency spectrogram; extracting a real-time harmonic distortion feature vector and an impedance variable quantity based on the time-frequency spectrogram, calculating a frequency spectrum offset quantity with a reference vector, and judging a fault tendency type and a fault tendency region by combining a frequency band energy ratio; and the spliced feature vectors are reasoned through a lightweight artificial intelligence model to output fault probability distribution, and graded early warning is executed. Through multi-signal excitation and multi-dimensional parameter fusion analysis, the timeliness and accuracy of fault recognition are improved, accurate monitoring and graded early warning of the running state of the electrolytic cell are achieved, and it is guaranteed that the hydrogen production process is stable and reliable.

The invention discloses a guide rail rust-proof state monitoring system and method based on impedance detection, and relates to the technical field of electrochemical guide rail rust-proof monitoring. Impedance detection electrodes are arranged on the surface of a guide rail, alternating current excitation signals are applied, and voltage response signals and current response signals of the guide rail are synchronously collected; calculating to form guide rail impedance spectrum data and constructing an impedance spectrum curve, analyzing and separating impedance responses of different frequency bands, extracting impedance spectrum characteristic parameters representing oil film isolation capability, interface charge transfer capability and diffusion impedance characteristics, and establishing an equivalent circuit model to execute parameter inversion calculation; and solving interface mechanism parameters reflecting the integrity degree of the antirust film on the surface of the guide rail and the interface corrosion activity, and meanwhile, generating a guide rail antirust state spatial distribution diagram through spatial consistency analysis and gradient change analysis, thereby realizing the mechanism monitoring and spatial positioning identification of the guide rail antirust state.

Method for determining the charge of battery cells of an energy storage device of a motor vehicle; wherein the method comprises: applying a current pulse to each battery cell; recording a voltage response of each battery cell to the current pulse; determining charge information relating to the charge of the battery cells, taking into account the respective voltage responses of the battery cells; and outputting the charge information.

The application relates to the technical field of battery management systems, and discloses a battery pack fault diagnosis method and system based on physical enhancement and machine learning. The method is based on an interpolation parameter matrix to construct an improved extended Kalman filter model, to obtain state estimation, reference voltage and residual information of a battery monomer; a physical enhancement self-encoder is constructed, current, state estimation, temperature or equivalent environmental variables and monomer residuals are taken as context inputs, combined with consistency reference of other monomers, to reconstruct a health reference voltage response of a target monomer; dynamic impedance response, event locking features, local consistency features, sensor bias / noise features and aging persistence features are extracted to form a mechanism feature space facing connection faults, sensor faults and battery aging; a cascade random forest model is adopted to realize fault screening and fault type identification, and online diagnosis results are post-processed through current gating, sliding window lag and physical priority correction strategies.

The application relates to a high-frequency plasma power supply, which realizes high-level response of the high-frequency plasma power supply through a voltage response board with a model of XILINX-AEC100 vehicle-level FPGA. Since the voltage applied in the high-frequency plasma power supply is higher than 400 volts, the voltage response board with the model of XILINX-AEC100 vehicle-level FPGA can realize normal work in a high-voltage environment. An isolating switch gives the voltage response board an operation action of an operator in the form of a level signal through an isolating effect, and in order to reduce the influence of voltage mutation of a voltage booster, a power selector can pre-set output electric energy power of the voltage response board. A power delay device fits large impedance between the voltage booster and a high-frequency electrotome, so as to prevent mutation of output electric power, and further improves the accuracy of the high-frequency plasma power supply in regulating electric energy supply.

The application discloses a kind of based on dynamic current modulation intelligent electric energy meter clock battery passivation film rapid elimination method, belongs to intelligent electric energy meter technical field, to solve the three major problems of existing technology to passivation film state diagnosis inaccuracy, elimination strategy fixed rigid and high energy consumption, long time, including: by applying a kind of composite detection signal to battery, and using asymmetric cross-correlation function analysis its voltage response, extract features and calculate a film state distortion factor that can accurately quantify passivation film state, realize diagnosis.Second, with the factor as input, drive a nonlinear oscillator modulated by it to generate dynamic elimination current, and in the elimination process by real-time calculation instantaneous power divergence to fine-tune current frequency, form the double closed-loop adaptive control system of inner and outer ring coupling, to realize the rapid, accurate, adaptive elimination of passivation film.The application has good application prospect in improving the operation reliability of intelligent power grid measurement terminal.

The invention relates to the technical field of high-frequency transformers, in particular to a design method and system for reducing distributed capacitance of a high-frequency drive transformer, and the method comprises the following steps: collecting instantaneous voltage and current of a winding, fitting an energy density curve, analyzing the coupling strength of a capacitance region, extracting voltage response, smoothly correcting deviation, and positioning capacitance space distribution; detecting a current phase difference and an energy path, judging a capacitance concentration ratio and adjusting a layout coordinate, calculating a phase deviation and energy ratio comparison, optimizing a capacity and spacing ratio, and correcting an error to generate an optimization result. According to the invention, accurate optimization is realized by acquiring voltage and current and fitting an energy density curve, analyzing coupling strength and capacitance distribution, iteratively correcting deviation, adjusting the proportion of capacitance to spacing, balancing an electromagnetic coupling state, improving energy transfer efficiency, reducing parasitic effect, and enhancing system stability and anti-interference capability; and the energy conversion quality and the structural reliability are improved.

The invention provides a current detection method, circuit and system, electronic equipment and a storage medium. The current detection method comprises the following steps: monitoring a first detection voltage generated when a to-be-detected current flows through a current sampling element in real time; when the first detection voltage is greater than or equal to a first preset voltage threshold value corresponding to a first voltage range where the current detection condition is located, reducing an equivalent resistance value of the current sampling element to switch the first voltage range to a second voltage range; acquiring a second detection voltage measured under the detection condition of a second voltage range, and taking the second detection voltage as a voltage measurement value; and determining the current to be measured based on the voltage measurement value and the first calibration voltage value corresponding to the second voltage range. According to the invention, on the premise that the precision is not sacrificed, the measurable current range is obviously expanded. System errors caused by inherent deviation and drifting of hardware are effectively eliminated, and it is ensured that accurate and consistent measurement results can be obtained under different measuring ranges.

The invention provides a floating photovoltaic power station grounding resistor fault positioning method and device, the method is applied to a controller in a fault positioning system, and the fault positioning system further comprises a grounding grid of a floating photovoltaic power station, a sensing network formed by deploying sensors at key nodes of the grounding grid, and a signal generator. The method comprises the following steps: in response to a received fault positioning instruction, triggering a signal generator to inject a high-frequency test current signal into a grounding grid; acquiring a current-voltage data set through a voltage response signal of each key node acquired by a sensing network; based on the current-voltage data set, resistivity distribution reconstruction is carried out by adopting an impedance imaging algorithm, and a three-dimensional resistivity distribution diagram of the grounding grid is generated; and according to the three-dimensional resistivity distribution diagram, positioning an abnormal region with a resistance value exceeding a preset threshold value in the grounding grid. According to the method, three-dimensional visual imaging of resistivity distribution in the grounding grid and accurate positioning of an abnormal area are realized.

This invention relates to the technical field of energy storage control in transportation, and provides a method and system for energy storage control in transportation. The method includes: acquiring real-time status information of an electric vehicle; when the real-time status information indicates a low-load operating state or a charging state, applying a current pulse to the battery cell and measuring the voltage response; calculating the internal resistance and available power based on the voltage response and storing it as a performance record; acquiring future operating plans and analyzing the charge and discharge load of the battery cell in future operating cycles based on the future operating plans; obtaining risk analysis results based on the performance record and charge and discharge load; setting personalized balancing targets for the battery cell based on the risk analysis results; and pre-allocating energy to the battery cell according to the personalized balancing targets when the real-time status information indicates a low-load operating state or a charging state. This invention improves the overall performance of energy storage control in transportation.

The application discloses a power battery SOC-SOH joint estimation method and system based on ANFIS, relates to the technical field of power battery management, and provides the following scheme, which comprises collecting voltage sequences, current sequences and temperature sequences of the power battery at continuous sampling time points, segmenting the sampling interval according to the combination criterion of the current absolute value and the duration in the current sequence, determining the continuous interval meeting the preset disturbance criterion as a disturbance section, determining the disturbance polarity according to the current direction in the disturbance section, and determining the disturbance intensity according to the cumulative action amount of the current absolute value in the disturbance section. The application solves the problem that the historical residual effect of the voltage response is directly mixed into the estimation input because the existing technology does not align the input time and the load rhythm by taking the end time of the current disturbance section as the entering reference and taking the basic analysis unit of the adjacent low-flow interval as the recovery section.

The present disclosure relates to inductor current shunt linear control techniques for mitigating DC-DC regulator load dump transients. For inductor-based DC-DC converters, a current shunt switch can provide a backup path for inductor current that does not include the output capacitor. An amplifier circuit can be included and coupled with a control node of the current shunt switch to adjust a voltage on the control node to control the amount of inductor current shunted from the output node. A fast linear loop can be included to ensure smooth transitions when turning on or off the current shunt switch. These techniques can minimize the subsequent negative output voltage excursion and duration when the final value of a step-down load transient is not zero, depending on the specific ESL and ESR values of the output voltage capacitor. These techniques can improve the positive output voltage response caused by output load transients in the negative direction.