294 results about "Equivalent circuit" patented technology

This application provides a method and apparatus for simulating the performance degradation of a high-power power supply. The method includes: obtaining a spatial state equation for the output voltage of the high-power power supply system based on an equivalent circuit model of the high-power power supply; acquiring performance degradation models of multiple components with degradation characteristics in the high-power power supply system, and importing the performance degradation models of the multiple components with degradation characteristics into the spatial state equation to obtain a spatial state model; using the spatial state model to obtain performance degradation array data of the high-power power supply corresponding to each number of runs; and concatenating the performance degradation array data of the high-power power supply corresponding to each number of runs to obtain performance degradation time sequence data of the high-power power supply.

The application discloses a kind of generator stator winding partial discharge quantity's inversion method and system, belong to large-scale rotating electrical machine insulation state diagnostic technical field, method includes: obtaining or estimating the key distributed capacitance parameter in insulation structure multi-capacitance equivalent circuit model, mapping relationship database is established;Partial discharge detection is carried out to the generator stator winding of applied test voltage, and the characteristic information of discharge pulse is collected;Based on the key distributed capacitance parameter in mapping relationship database, pre-generated pulse waveform-defect capacitance calibration curve, the characteristic information of discharge pulse collected is executed nonlinear iterative inversion calculation;Quantitative evaluation, type identification and health diagnosis are carried out to the insulation defect of generator stator winding.The application introduces pulse waveform feature into partial discharge physical quantity inversion, improves the accuracy, quantitative level and defect identification ability of generator stator insulation state evaluation, provides technical support for generator life extension and condition maintenance.

The application provides a transient ground potential rise induced coupling determination method through cable shielding layer, and belongs to the technical field of cable shielding layer.The application establishes a distributed parameter partial element equivalent circuit model of a grounding network, solves transient ground potential distribution by using a finite difference time domain method, obtains equivalent transfer impedance frequency characteristics of a braided shielding layer by using a four-port S parameter vector network analysis method and a variational asymptotic homogenization multi-scale algorithm, solves core line common mode voltage and differential mode voltage by establishing a multi-conductor transmission line equation group, constructs an artificial intelligence prediction model based on a topology perception graph neural network, solves a large-scale sparse admittance matrix by using a multilevel fast multipole method to obtain full network induced voltage distribution, and establishes a quantitative relationship model between ground potential rise and core line induced voltage, so that the technical problems that cable core line induced voltage caused by transient ground potential rise is difficult to accurately predict and effectively suppress are solved.

This invention relates to the field of battery management technology and discloses a cross-condition SoH estimation method for lithium-ion batteries based on domain alignment transfer learning. It employs a second-order equivalent circuit model to extract physical parameters from the electrochemical impedance spectroscopy, thereby accurately capturing the internal aging dynamics of the battery. Then, a path-dependent temporal degradation model is constructed through sequence processing via a long short-term memory backbone network. To avoid the catastrophic overfitting risk inherent in traditional fine-tuning methods, an efficient domain alignment mechanism based on direct confusion is introduced. By utilizing massive amounts of unlabeled data, the domain uncertainty in the latent space is explicitly maximized, and the extraction of purely domain-invariant features is mandatory. Under conditions where labeled target data is severely scarce, this invention achieves a low mean absolute error in cross-cell transfer learning, effectively eliminating the impact of inherent manufacturing differences in batteries. It also exhibits excellent environmental thermal adaptability during complex cross-temperature transfer processes.

This application discloses a method and electronic device for detecting transmission parameters of through-silicon vias (TSVs), applied in the field of integrated circuit technology. The method includes: determining whether the total length of the TSV to be tested is greater than a preset first length; if so, dividing the TSV into multiple via segments such that the length of each segment is no greater than the first length; if not, treating the TSV as a TSV composed of single-segment vias; for each via segment, obtaining the pad capacitance, via pillar capacitance, anti-pad capacitance, via inductance, and via resistance of the via segment using preset parameter calculation rules, and constructing an equivalent circuit model of the via segment; cascading the equivalent circuit models of each via segment of the TSV to form an equivalent circuit model of the TSV, and performing transmission parameter detection on the TSV. Applying the scheme of this application can effectively determine the transmission parameters of the TSV, improving efficiency and ensuring the accuracy of the scheme.

The embodiment of the application discloses a kind of optimization method, equipment and storage medium of lithium battery charging strategy, optimization method includes: establishing the second-order RC equivalent circuit model of lithium battery, and establish lithium battery bimodal thermal model based on second-order RC equivalent circuit model;Based on bimodal thermal model, with charging current as variable, at least two optimization goals are set, multi-objective optimization is carried out in combination with multi-objective genetic algorithm, and optimization solution set is obtained;Optimization solution set is processed using K nearest neighbor classification algorithm, to obtain the optimal charging current of battery at different temperatures, different remaining power;The charging strategy MAP of lithium battery is optimized based on the optimal charging current determined.The application solves the technical problems of poor dynamic matching of charging current and low charging control precision in the prior art of single strategy optimization of lithium battery charging strategy MAP.

The application provides an electromigration reliability non-uniform discrete equivalent circuit modeling method and system, adopts an equivalent circuit-based method to analyze electromigration stress evolution of a general complex interconnection structure, fully considers a thermal field effect in a model, realizes stress analysis equivalent circuit modeling under multi-physical field coupling, and solves the problem of waste of computing resources in processing large-span interconnection structures by using a traditional uniform discrete method, avoids unnecessary transient simulation on an immortal interconnection tree, reduces the computing load of full-chip-level analysis, and realizes efficient and high-precision transient analysis of electromigration reliability of a large-scale interconnection network under multi-physical field coupling effects.

The application provides a lithium ion battery state of charge prediction method based on EKF combined with CNN-BiLSTM-Attention, and belongs to the field of electrochemical energy storage. The prediction comprises constructing an equivalent circuit model and identifying key parameters of the model online; pseudo battery state of charge estimation values are obtained through extended Kalman filtering. Convolutional neural network layers are used to extract complex feature vectors, attention mechanism layers are used to obtain weighted feature vectors, BiLSTM feature vectors are obtained through bidirectional long short-term memory network layers, and finally, the final battery state of charge prediction value SOC is output pred The application cooperates battery characteristics through physical models and data-driven models, effectively improves the SOC prediction accuracy, greatly reduces the influence of data noise and sensor errors, adapts to various lithium ion battery-dependent scenes such as industrial and commercial energy storage power stations and electric vehicles, and guarantees the accuracy and robustness of SOC prediction.

The application provides a power system stability analysis method based on impedance measurement data, comprising determining that the current analysis condition is a condition corresponding to an equivalent circuit diagram based on a converter topology structure diagram, wherein a disturbance voltage source is in series or a disturbance current source is in parallel; under the current analysis condition, disturbance voltage components and disturbance current components generated on the converter side are obtained to obtain converter impedance measurement data carrying amplitudes and phase angles at several frequency points, and disturbance voltage components and disturbance current components generated on the power grid side are obtained to obtain power grid equivalent impedance measurement data carrying amplitudes and phase angles at several frequency points; the converter impedance measurement data and the power grid equivalent impedance measurement data at the same frequency point are compared, and according to each comparison result, the risk of oscillation instability of the power system is judged. The application is implemented to reduce the complexity of impedance measurement operation, thereby improving the analysis accuracy.

This application discloses a method and apparatus for constructing a parallel current source model for IGBT turn-off current analysis. The main scheme is as follows: Based on the physical nature of the IGBT turn-off current decrease process, it is revealed that it includes two synchronously occurring sub-processes (the carrier injection process and the carrier recombination reduction process corresponding to MOSFET turn-off); the IGBT turn-off current is defined as the parallel superposition of the currents (injection current and recombination current) generated by these two sub-processes; this abstract "dual current" physical theory is transformed into an equivalent circuit composed of a controlled source and a current source connected in parallel; the two sub-processes are analyzed in this way: for the first sub-process, a first relationship characterizing the dynamic evolution law of the injection current is derived; for the second sub-process, a second relationship characterizing the dynamic evolution law of the recombination current is derived; finally, by combining these two relationships, a parallel current source model for quantitatively characterizing the IGBT turn-off current decrease process is constructed.

This invention discloses a design method for generating circuit schematics from passive S-parameter matrices, comprising: determining a single-ended S-parameter matrix based on the function of the target circuit; converting the single-ended S-parameter matrix into a corresponding Y-parameter matrix; constructing an initial equivalent circuit composed of capacitors and inductors based on the imaginary part characteristics of the elements in the Y-parameter matrix; optimizing the initial equivalent circuit using a transformer equivalent model, merging multiple inductors in the circuit into a transformer, and obtaining a circuit schematic with the transformer as the main component. This invention can automatically transform functional objectives into manufacturable passive component topologies. By introducing a transformer equivalent model, it achieves the effective merging of multiple inductors in the circuit, thereby achieving significant chip area optimization and cost reduction.

The application discloses an online lithium battery state of charge estimation method based on state estimation, obtains an OCV-SOC characteristic curve by a small current discharge method and a hybrid pulse power performance test method through a second-order RC equivalent circuit model, and then obtains an optimized OCV-SOC curve through a differential evolution algorithm. Parameters are identified online through an adaptive fading factor recursive least square method (AFRLS), the parameters of an unscented Kalman filter observer are updated, a timing model gated recurrent unit network (GRU) adaptive interference noise is introduced, online SOC prediction of a lithium battery is realized as output, finally, the predicted SOC is combined with the OCV-SOC curve to predict the terminal voltage, and the predicted terminal voltage is compared with the measured terminal voltage to form feedback and update; the application can adapt to various working conditions, has low computational complexity, high accuracy, and the accuracy is significantly improved compared with a traditional extended Kalman model and an unscented Kalman model.

This invention discloses a nonlinear dynamic modeling method for crack evolution in a helical gear transmission system for vehicles, which includes the following steps: (1) establishing a calculation formula for meshing stiffness of the helical gear pair under cracked conditions using the slice integration method and the potential energy method; (2) establishing an equivalent circuit model of the motor by combining the principles of circuit theory and magnetic circuit theory with coordinate transformation relationship; (3) building an electromechanical coupling model of the motor-gear system based on the mechanical relationship between the motor and the gear transmission system; (4) establishing a model of the electromechanical coupling helical gear transmission system for vehicles and solving the influence mechanism of crack evolution of helical gears on the dynamic characteristics of the electromechanical coupling helical gear transmission system for vehicles; the beneficial effect is that this invention establishes a nonlinear fault dynamic model of the electromechanical coupling transmission system for new energy vehicles, which is of great significance for the design, optimization and life prediction of the helical gear transmission system for new energy vehicles.

This application provides a method, apparatus, device, and storage medium for controlling stray current in pipelines, relating to the field of stray current protection technology. The method includes: acquiring real-time stray current distribution information for each pipeline section along the pipeline. The distribution information includes the stray current intensity flowing through each pipeline section. The distribution information is input into a preset first model, and the target grounding electrode is output from the candidate grounding electrodes corresponding to each pipeline section. The first model is constructed based on historical detection information and the equivalent circuit principle of stray current diversion and grounding, used to determine the target grounding electrode. The historical detection information includes historical stray current distribution information and corresponding historical target grounding electrodes. The target grounding electrode is then activated, used to guide the stray current into the soil.

This invention relates to the field of battery technology and discloses an equivalent circuit model suitable for flow batteries. The pump loss power is calculated using a pump loss model, and this parameter is output to a thermal model and an electrical characteristic model. The actual operating temperature is calculated using the thermal model and output to the electrical characteristic model. The electrical characteristic model calculates the total resistance of the battery stack and inputs it into the thermal model, thus forming a coupling relationship with the thermal model. The predicted terminal voltage is calculated and input into an operating state estimation module. The maximum discharge capacity and ohmic internal resistance of the battery stack are corrected using an aging model. The corrected maximum discharge capacity and ohmic internal resistance are then input into the operating state estimation module and the electrical characteristic model, respectively. The operating state estimation module estimates the operating state of the flow battery. By integrating electrochemical characteristics, fluid dynamics, aging effects, and thermal effects, the system behavior and operating characteristics of the flow battery are comprehensively described.

This application proposes a method and apparatus for detecting phase loss in a power plant starting transformer, relating to the field of power fault detection technology. The method includes: acquiring the signal energy distribution of the starting transformer; constructing an energy feature vector reflecting the relative energy relationship between the three-phase current signals and inputting it into a phase loss identification model to obtain the initial probability of phase loss faults in each phase; performing state inversion calculations by combining real-time calculated zero-sequence and negative-sequence current amplitudes to infer the changes in the equivalent circuit parameters of the transformer's internal windings and leads before and after the fault, thereby correcting the initial probability to obtain a confidence level, and finally generating a phase loss detection report including the fault phase and fault severity. This application comprehensively characterizes the energy correlation characteristics of the three-phase currents through energy feature vectors and corrects the initial probability of the model using changes in equivalent circuit parameters, eliminating random biases in the output of a single model, achieving accurate matching between the fault determination result and the actual fault state of the transformer, and improving the accuracy of fault phase identification.

This application provides a method, device, and medium for identifying parameters of a second-order battery equivalent circuit model. The method includes: randomly initializing the positions of an osprey population within a defined parameter feasible solution space to obtain the initial position of each osprey. Each osprey's position represents a set of candidate parameter feasible solutions, with parameters including the ohmic internal resistance, two polarization resistors, and two polarization capacitors in the second-order battery equivalent circuit model; executing an iterative loop of the osprey optimization algorithm based on the initial position of each osprey to obtain the optimal position; and determining the parameter feasible solution corresponding to the optimal position as the optimal solution for the parameters of the second-order battery equivalent circuit model. During the iterative loop of the osprey optimization algorithm, the update of the osprey positions is controlled by dynamic coefficients, which change non-linearly with the number of iterations. This improves the identification accuracy and reliability of the second-order battery equivalent circuit model parameters.

The application discloses a kind of construction methods of power battery system power simulation model, belong to power battery simulation technical field, this method includes: selecting the three kinds of sample monomer battery with lowest, highest and mean value internal resistance;Equivalent circuit model corresponding to unit is constructed based on the characteristic parameters of sample monomer battery;Unit equivalent circuit model is expanded to the battery module equivalent circuit model for characterizing corresponding battery group, and battery module equivalent circuit model is connected in series to form system level equivalent circuit model;The basic parameters, quality and thermal management scheme of monomer battery are combined to construct the thermal management model corresponding to each battery module;System level equivalent circuit model, each thermal management model and pulse charge-discharge condition model are thermoelectric coupling, and power simulation model is obtained.The application is equivalent to modeling by representative sample, and the influence of battery consistency difference on system power is truly reflected, and the problem of large amount of calculation and insufficient precision of traditional modeling is solved.

This invention relates to the field of new energy battery technology and discloses an equivalent circuit model suitable for aqueous zinc-ion batteries. This model maps the core chemical degradation process of aqueous zinc-ion battery cathode material dissolution and structural collapse into the dynamic changes of two key electrical parameters: actual maximum capacity decay and actual ohmic internal resistance growth. By constructing explicit mathematical relationships such as stress functions, capacity decay equations, and internal resistance growth equations, it achieves quantitative coupling between chemical degradation and changes in electrical parameters, effectively improving the estimation accuracy of battery operating states such as state of charge and health. Simultaneously, the instantaneous electrical behavior model in the model, by adding an RC self-discharge branch connected in parallel with the controlled voltage source, can quantify the impact of parasitic reactions such as hydrogen corrosion and negative electrode interface passivation on battery open-circuit voltage drift and energy loss, solving the problem of low prediction accuracy under long-term storage and low-rate conditions caused by neglecting parasitic reactions in traditional models.

This application provides a method and apparatus for simulating the performance degradation of an integrated circuit power supply. The method includes: obtaining a spatial state equation for the output voltage of the integrated circuit power supply system based on an equivalent circuit model of the integrated circuit power supply; acquiring performance degradation models of multiple components with degradation characteristics in the integrated circuit power supply system, and importing the performance degradation models of the multiple components with degradation characteristics into the spatial state equation to obtain a spatial state model; using the spatial state model to obtain performance degradation array data of the integrated circuit power supply corresponding to each number of runs; and concatenating the performance degradation array data of the integrated circuit power supply corresponding to each number of runs to obtain performance degradation time sequence data of the integrated circuit power supply.

The application discloses a lithium iron phosphate battery equivalent model parameter identification method based on an improved SCSO, which comprises the following steps: step 1, constructing a second-order equivalent circuit model to determine to-be-identified parameters; step 2, collecting current, voltage and time data of the lithium battery under a dynamic working condition, and constructing a fitness function based on the deviation of a model predicted voltage and a measured voltage; step 3, generating an initial population of the improved sand cat colony optimization algorithm by adopting a chaotic initialization strategy, and setting a search boundary in combination with parameter physical constraint settings; step 4, introducing a dynamic weight disturbance mechanism, an adaptive mutation strategy and a triangular walking strategy to iteratively update the sand cat population position, and reserving high-quality solutions by greedy selection; and step 5, repeatedly executing steps 3 and 4 until the fitness function reaches a preset precision or the number of iterations reaches a maximum value, and outputting optimal identification parameters. By dynamically adjusting the search weight to balance the global exploration and local development capability, in combination with the reinforced boundary behavior to avoid parameter out-of-bound to guarantee the physical rationality, and relying on the triangular walking strategy to improve the population diversity, the application effectively solves the inherent defects of the conventional SCSO algorithm in complex parameter optimization.

The application provides a preferred method of electrical parameters and a measurement method, and an estimation method of SiC MOSFET gate oxide layer degradation, and the preferred method comprises the following steps: in combination with a gate oxide layer degradation model of SiC MOSFET and I-V characteristics of a turn-off process, a relationship model of several electrical parameters and a gate oxide layer degradation degree during the turn-off process is determined; in combination with the relationship model and actual working characteristics of a SiC inverter, several alternative electrical parameters are determined; based on an equivalent circuit model of each alternative electrical parameter, an online measurement difficulty of each alternative electrical parameter and a coupling degree with a SiC MOSFET temperature are evaluated, and a preferred electrical parameter is determined according to an evaluation result; and a mapping electrical parameter which is jointly measured with the preferred electrical parameter is determined. Through in-depth exploration of the relationship between gate oxide layer aging and each electrical parameter, the application can preferably select an electrical parameter suitable for online monitoring of the gate oxide layer degradation degree of SiC MOSFET.

The application relates to the technical field of battery health management, and discloses a lithium battery SOH prediction method and system based on a Koopman gated residual neural network, which comprises the following steps: acquiring electrochemical impedance spectrum data of a lithium battery; based on an equivalent circuit model, first physical characteristics are fitted and extracted from the electrochemical impedance spectrum data, and a characteristic frequency point is determined; an electrochemical impedance imaginary part value at the characteristic frequency point is extracted as a second frequency domain characteristic; based on the first physical characteristics, an initial prior estimation value of a battery health state is generated, and the initial prior estimation value is dynamically trend-corrected to obtain a corrected prior estimation value; the first physical characteristics, the second frequency domain characteristic and the corrected prior estimation value are input into a pre-trained Koopman gated residual neural network model, and an adaptive gated fusion mechanism of the model is used to output a final prediction value of the battery health state. The application realizes relatively accurate and high-robustness online prediction of the battery health state.

The application discloses a kind of flexible direct current transmission line fault transient electrical quantity determination methods, comprising: according to the circuit parameter of MMC converter station, construct MMC equivalent circuit when inter-pole short circuit;According to the transmission line parameter obtained, establish the equivalent model of two-port of direct current transmission line under complex frequency domain;According to the equivalent circuit of MMC when inter-pole short circuit and the equivalent model of two-port of direct current transmission line, obtain the expression of direct current fault transient under complex frequency domain;The expression of direct current fault transient under complex frequency domain is carried out Laplace transformation to obtain time domain response, the whole trend of transient process after fault can be given more accurately by the application.The calculation process is simple, avoids the complicated modeling simulation process in traditional simulation method.Meanwhile, it can well reflect the occurrence wave process when overhead line fails.The method can accurately express the overall development trend of the fault current flowing through the protection installation before the converter station is locked after the fault occurs, and has a positive significance for the fault current suppression and protection setting design of MMC-HVDC system.

The application relates to a lithium ion battery equivalent circuit model construction method, system, device and medium, and belongs to the lithium ion battery equivalent circuit model construction field. The method comprises the following steps: constructing an initial lithium ion battery equivalent circuit model of a lithium ion battery to be modeled; determining the structure of a second lithium ion battery equivalent circuit model by using the population chromosome coding of a genetic algorithm based on the initial lithium ion battery equivalent circuit model, so as to obtain a plurality of different second lithium ion battery equivalent circuit models; optimizing the second lithium ion battery equivalent circuit model by using a particle swarm algorithm, so as to determine the optimal model parameters of a third lithium ion battery equivalent circuit model; optimizing the structures of the plurality of third lithium ion battery equivalent circuit models by using a genetic algorithm, so as to determine the optimal structure of the lithium ion battery equivalent circuit model, and obtaining the lithium ion battery equivalent circuit model. The application improves the accuracy of model construction.

This invention belongs to the field of electromagnetic protection technology and provides a low-profile energy selective surface with ultra-wideband protection to solve electromagnetic protection problems. This invention improves the equivalent circuit design of a cascaded energy selective surface and a frequency selective surface, resulting in a low-profile energy selective surface with ultra-wideband protection. Under low power density incidence, the energy selective surface generates a passband in the S-band, ensuring normal signal reception and transmission for the protected antenna. Under high power density incidence, the energy selective surface can totally reflect electromagnetic waves across the entire frequency band. Furthermore, this invention employs a rotationally symmetric structure, exhibiting polarization insensitivity. Compared with existing technologies, the energy selective surface proposed in this invention has a simpler structure, a lower profile, higher shielding effectiveness, and provides wider bandwidth protection, achieving ultra-wideband protection.