33 results about "Circuit modeling" patented technology

A system for charging a battery comprising a first switch operably coupled with a power supply. An inductive element, which may be a part of filter, is in operable communication with the switch. The system includes a processor in communication with the switch and in communication with a model of the inductive element. The processor is configured to execute instructions to control the switch to generate a sequence of pulses at the first inductive element to produce a shaped charge waveform responsive to running the model to generate the shaped charge waveform.

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 discloses a kind of fast electrochemical impedance test methods applied to fuel cell low temperature start, belong to fuel cell detection technical field.The method is aimed at the problem that traditional electrochemical impedance spectrum test time is too long, cannot satisfy the difficulty of quick real-time monitoring in low temperature start process, first, by simulating water flooding and cathode blockage fault at normal temperature, construct multi-working condition impedance database;Further combined with equivalent circuit modeling and machine learning algorithm, 3~4 characteristic frequency bands most sensitive to fault state are selected from full-band data;Finally, in the process of fuel cell low temperature start, only the disturbance signal of these characteristic frequency bands is applied to the battery for fast scanning.The method shortens the single test time from traditional 2~5 minutes to 10~15 seconds, realizes the real-time, accurate diagnosis to membrane electrode icing and liquid water blockage and other key states, and provides an effective tool for optimizing fuel cell low temperature start control strategy.

The invention provides a parametric modeling method and device for a silicon-based millimeter wave on-chip component, and belongs to the technical field of integrated circuit modeling and millimeter wave circuit design. The method comprises the following steps: under a preset key parameter interpolation node, acquiring a transmission parameter of a de-embedding test structural member comprising a de-embedded component at each test frequency point; removing a parasitic effect embedded in the test structural member by using transmission matrix operation so as to obtain a transmission matrix of the de-embedded component and obtain a scattering parameter of the de-embedded component; then, through a vector fitting algorithm, obtaining a pole-residue model of the de-embedded component under the parameter interpolation node; and based on the pole-residue model under each parameter interpolation node, establishing a parameterized de-embedding model of the de-embedded component through a gravity center interpolation algorithm. According to the method, rapid and accurate modeling of silicon-based millimeter wave on-chip components of any size can be realized, and the reliability and efficiency of millimeter wave integrated circuit design are improved.

The invention provides an electrochemical impedance spectroscopy automatic modeling and fitting method, system, equipment and medium, and belongs to the technical field of electrochemical impedance spectroscopy data analysis. The method comprises the following steps: acquiring impedance spectrum data of an electrochemical system; performing relaxation time distribution analysis on the data to obtain a relaxation time distribution spectrum; identifying the number of effective peaks in the distribution spectrum; an equivalent circuit model is automatically constructed based on the number of effective peaks; and determining the parameter value of each element in the equivalent circuit by adopting a complex nonlinear least square fitting method. By adopting the electrochemical impedance spectrum automatic modeling and fitting method, system, equipment and medium, the number of physical and chemical processes in the system is automatically identified through the relaxation time distribution spectrum, and an equivalent circuit structure is constructed according to the number of physical and chemical processes; the method solves the problems that a traditional modeling method depends on artificial experience, the subjectivity of model selection is high, and DRT analysis and circuit modeling processes are separated, and is suitable for automatic impedance spectroscopy analysis of various electrochemical systems such as fuel cells and electrolytic cells.

The invention discloses an auxiliary radio frequency circuit modeling method based on machine learning, and belongs to the technical field of radio frequency circuits. Comprising the following steps: acquiring design parameters of a radio frequency circuit by utilizing a Latin hypercube sampling method to obtain sample data, performing electromagnetic simulation on the sample data through electromagnetic software to obtain corresponding electromagnetic response, obtaining a high-simulation-precision electromagnetic response data set by matching the Latin hypercube sampling method with the electromagnetic software, and taking the sample data as input characteristics to obtain a high-simulation-precision electromagnetic response data set; carrying out dimension reduction processing on sample data by utilizing a Pearson correlation coefficient in cooperation with a kernel PCA method, building a neural network model, optimizing a hidden layer in the neural network model and the number of neurons of the hidden layer by utilizing a whale optimization algorithm to obtain a perfect neural network model, and taking a global optimal solution obtained by a WOA algorithm as an initial parameter of the neural network model; and the initial parameters are processed to obtain initial parameters, and the neural network model is trained through the initial parameters. According to the invention, the neural network model with high precision is built in a short time.

The invention discloses a detection-free zero-voltage switching-on method based on a full-bridge inverter intermittent current mode, and relates to a power electronic converter. The micro inverter works in an inductive current intermittent conduction mode, zero-voltage switching-on of a switching tube can be realized on the basis of not adding any additional device and auxiliary circuit, and the efficiency of the inverter is effectively improved. The traditional scheme generally depends on a sampling circuit to detect a resonance current zero crossing point between an inductor and a switch tube shunt capacitor to determine the turn-on time, so that the hardware complexity is increased, and the zero-voltage turn-on effect depends on the reliability of a detection circuit. And when the switching frequency is relatively high, the inherent delay characteristic of the sampling circuit can limit the zero-voltage switching-on realization effect. The invention provides a zero-voltage turn-on moment determination strategy based on inverter behavior modeling in an intermittent conduction mode, a detection circuit is not needed, and the zero-voltage turn-on moment can be accurately determined only through discrete time control by a controller after modeling, so that full-period soft switching is realized, and the hardware complexity is reduced.

The invention relates to a steering engine control system and control method for controlling multiple servo motors, the system comprises a main control module, a driving module, power modules, a power selection module and motors, and the power modules are connected with the motors in a one-to-one correspondence mode; the power selection module is connected with all the power modules and is connected with the main control module at the same time; and the driving module is connected with all the power modules and is connected with the main control module at the same time. According to the invention, a certain power module can be selected by the power selection module, so that the power module acts, and then the corresponding motor is driven to work, thereby realizing real-time interaction control of different motors. The whole system has the advantages of circuit modeling, miniaturization, expansion and low cost; the steering engine control system can realize control of a single motor, alternate control of a plurality of single-redundancy motors, control of a single multi-redundancy motor and real-time control of a plurality of single-redundancy motors according to the model of the control module.

The invention discloses a rapid electrochemical impedance testing method applied to low-temperature starting of a fuel cell, and belongs to the technical field of fuel cell detection. The method aims at solving the problems that traditional electrochemical impedance spectroscopy testing time is too long, and rapid real-time monitoring cannot be achieved in the low-temperature starting process, and comprises the steps that firstly, water logging and cathode blocking faults are simulated at the normal temperature, and a multi-working-condition impedance database is constructed; 3-4 characteristic frequency bands most sensitive to the fault state are screened out from the full-band data in combination with equivalent circuit modeling and a machine learning algorithm; finally, in the low-temperature starting process of the fuel cell, the disturbance signals of the characteristic frequency bands are only applied to the cell for rapid scanning. According to the method, the single test time is shortened to 10-15 seconds from the traditional 2-5 minutes, real-time and accurate diagnosis of key states such as membrane electrode icing and liquid water blockage is realized, and an effective tool is provided for optimizing a low-temperature starting control strategy of the fuel cell.

The invention discloses an integrated circuit IP modeling tool and method, and relates to the technical field of integrated circuit design, and the integrated circuit IP modeling tool comprises a table reading module which is used for reading the information of an IP model table file; the compiling module is used for expanding the IP model table file information into a memory for compiling; and the conversion generation module is used for converting the compiled information into an IP model file in an XML format. According to the method, the information is concentrated in the table file to be conveniently managed and modified, the information can be visually used as a document to describe the IP, and the usability is remarkably improved; input or modification can be directly carried out in a table file, so that the operation efficiency and flexibility are greatly improved, and the workload in using a traditional IP configuration tool is reduced; in addition to an FPGA project, the method can also be suitable for IP management in development of a large digital integrated circuit, and IP maintenance and reuse in the project are facilitated.

This invention provides a non-uniform discrete equivalent circuit modeling method and system for electromigration reliability. It employs an equivalent circuit-based approach to analyze the electromigration stress evolution of general complex interconnect structures, fully considering thermal field effects in the model. This achieves equivalent circuit modeling for stress analysis under multi-physics coupling. Furthermore, by using an adaptive mesh method with non-uniform spatial discretization and a steady-state / quasi-steady-state filtering mechanism, it solves the problem of wasted computational resources in traditional uniform discretization methods when dealing with large-span interconnect structures, and avoids unnecessary transient simulations of immortal interconnect trees, reducing the computational load of full-chip-level analysis. This enables efficient and high-precision transient analysis of the electromigration reliability of large-scale interconnect networks under multi-physics coupling effects.

An objective of the present invention is to analyze a temperature distribution of a circuit including an electronic component. In order to achieve the objective, a thermal equivalent circuit for each of elements of a series circuit is modelled as a device that includes one or more terminals to be connected to one or more thermal equivalent circuits for one or more other of the elements of the series circuit, and connection of thermal equivalent circuits modelled according to the first modelling step is performed via the one or more terminals in order to model a thermal equivalent circuit for the series circuit, wherein the connection is performed.

The invention relates to the technical field of battery parameter identification, and relates to a characteristic enabling-based battery parameter dimension raising evolution identification method, which comprises the following steps of S101, pulse power characteristic test and response voltage acquisition; s102, modeling a battery equivalent circuit; s103, carrying out mathematical modeling on the dynamic characteristics of the battery; s104, performing population initialization; s105, evaluating the fitness of the population main target; s106, feature engineering construction based on expert knowledge is carried out; s107, constructing an auxiliary optimization target and evaluating the fitness of the auxiliary optimization target; s108, excellent population screening based on a Pareto multi-target optimization mechanism is carried out; s109, carrying out genetic evolution; s110, judging a termination condition; judging whether the fitness tends to converge or not, if yes, terminating the algorithm, and entering the step S111; if not, returning to the step S105; and S111, extracting parameters. According to the method, the local optimal limitation can be broken through, higher-precision parameter identification is realized, the stability of the identification process is enhanced, and the optimization efficiency is improved.

The invention provides a curved-surface conformal multilayer interconnected three-dimensional circuit modeling method based on scripts, which can quickly realize modeling of a curved-surface conformal multilayer interconnected three-dimensional circuit in three-dimensional modeling software, output a structure model file, provide input for subsequent simulation and processing manufacturing of the curved-surface conformal circuit, and improve the modeling efficiency of the curved-surface conformal multilayer interconnected three-dimensional circuit. And the design efficiency of the curved surface conformal circuit is improved. The established model is completely established by three-dimensional modeling software through scripts and can be output to other various common software for analysis, and the interactivity is good; the parameters on the curved surface can be rapidly extracted, and operations such as arc length calculation and equal-arc-length wiring can be conveniently achieved. The design scheme is particularly suitable for small satellites and deep space exploration tasks, and an effective solution is provided for high-performance and lightweight design of a new generation of spacecrafts.

This invention provides a method and apparatus for constructing a short-scale transient simulation model of a computing center, relating to the field of computing center modeling technology. The method includes: modeling the power grid side using a three-phase AC voltage source; modeling the uninterruptible power supply using a series-connected three-phase full-bridge rectifier circuit, a boost chopper circuit, and a three-phase bridge PWM inverter circuit, wherein the boost chopper circuit has energy storage elements for powering the computing center during grid-side faults; modeling the cooling module using a constant torque load; modeling the server using CPU power consumption, GPU power consumption, total server power consumption, and server variable impedance; and modeling the ZIP load using a ZIP model. This invention can more effectively describe the interaction between the computing center and the power supply system, providing a new modeling approach for the energy efficiency optimization and stable operation of computing centers.

Provided in the present invention is a circuit modeling method for a dual-active-bridge-type micro-inverter. The method equates dual-active-bridge-type micro-inverter to a standard dual-active-bridge circuit by establishing an equivalent circuit model, thereby establishing a third-order large signal model and a third-order small signal model of the micro-inverter, so as to facilitate the solution of a circuit state variable and the analysis of the dynamic performance. On the one hand, the method facilitates the solution of the steady-state operating point, and on the other hand, the transfer function obtained using the small signal model facilitates the study of the dynamic performance of the micro-inverter. Further provided in the present invention is an output current control method for a dual-active-bridge-type micro-inverter. By means of the method, a correct current loop control logic is established on the basis of a small signal model of a dual-active-bridge-type micro-inverter, and a current loop parameter design method is given. The method is conducive to improving the grid-connection stability and the precision of the output current of the micro-inverter, by giving the correct current loop control logic and the detailed current loop parameter design method.

The invention provides an extended Debye equivalent circuit modeling method and device for oil-paper insulation equipment, and relates to the technical field of extended Debye equivalent circuit modeling, and the method comprises the steps: firstly multiplying an actual measurement complex capacitance imaginary part spectral line by an angular frequency to obtain a polarized complex capacitance imaginary part spectral line, then carrying out the first differential, and multiplying by the angular frequency again to obtain a polarized complex capacitance imaginary part spectral line; obtaining a polarization complex capacitance imaginary part primary micro frequency division domain spectral line; the spectral line shows a clear sub-spectral line peak point feature, and a uniquely determined mathematical relationship exists between each sub-spectral line peak coordinate and a polarization branch parameter. The number of polarized branches of the extended Debye equivalent circuit can be automatically determined by reading the number of spectral line peak points in sequence, and pre-assumption is not needed; and then sub spectral line parameters are extracted one by one by using peak point coordinates, so that the resistance and capacitance of each polarized branch can be identified quickly and accurately. Compared with the prior art, the method has the advantages that a local optimal solution and human intervention are avoided, and the modeling efficiency and the parameter identification precision are improved.

The application discloses an accelerator superconducting main magnet power supply performance optimization system and method, the system comprises a 232 communication conversion network communication unit, a circuit modeling unit based on damping ratio verification, a parameter setting unit based on damping ratio and open loop gain and steady state error; the method comprises the following steps: converting the communication mode of the main magnet power supply loop which is close and susceptible to electromagnetic interference into the main magnet network communication mode which is long-distance and anti-interference, and obtaining high-precision current information of the remote main magnet power supply loop; circuit modeling based on high-precision current information and damping ratio verification; parameter setting based on damping ratio and open loop gain and steady state error; the application avoids the problems of too short 232 serial communication distance, susceptibility to electromagnetic, radiation and other environmental interference; the modeling method reduces the iteration number of parameter setting; by improving the system open loop gain and increasing the damping ratio, the problem that the output current stability is difficult to improve due to the large superconducting magnet load inductance and time constant is solved.

A system for wirelessly charging a battery comprising a switch operably coupled with a power supply. An inductor element, which may be part of a transformer element, which may be a part of filter, is in operable communication with the switch. The transformer is formed when two inductive elements are proximately positioned and provide a wireless charging interface. The system includes a processor in communication with the switch and in communication with a model of the inductor, which may include the transformer. The processor is configured to execute instructions to control the switch to generate a sequence of pulses at the inductor to produce a shaped charge waveform responsive to running the model to generate the shaped charge waveform.

This invention relates to a method for modeling controlled sources, couplers, and dual-wing single-port networks, belonging to the fields of circuit element models and circuit modeling methods. The proportional controlled source is a dual-wing controlled source in the form of a single-wing controlled source, consisting of two special cases: π-controlled sources and π-controlled sources, each with four types. The coupler is composed of proportional controlled sources, with two types: π-interchange and π-converter, each with three special cases: π-interchange and π-interchange, π-converter and π-converter, and π-converter. Each of these types has four special cases. In an unexcited single-port network, the self-excitation of the controlled source is equivalent to a resistor or impedance; in an excited single-port network, the self-excitation of the controlled source is equivalent to an actual power source; and in an isolated circuit, the self-excitation of the controlled source is equivalent to an independent source. A controlled source has signal transformation and control functions, while a coupler has parameter transformation and signal processing functions.

The application provides a substation graphical electrical circuit modeling method, comprising: receiving secondary equipment wiring checking work tasks; determining the electrical circuit to be checked and its associated devices and electrical equipment according to the secondary equipment wiring checking work tasks, and further determining the screen cabinet, the small room and the electrical port connected therewith; binding the devices, the electrical equipment, the screen cabinet, the small room and the electrical port based on a combined graphics library and an information model database to realize the graphical modeling of the electrical circuit to be checked; wherein the combined graphics library is composed of images of the devices, the electrical equipment, the screen cabinet, the small room and the electrical port in the substation; the information model database is composed of information models of the small room, the screen cabinet, the devices, the electrical equipment and the electrical port, and the information models form corresponding relationships with the graphics by carrying different attributes and assignments. By implementing the application, the defects existing in the current secondary equipment account management mode can be avoided, thereby reducing the checking difficulty, the missed detection and the wrong detection of the key circuit.

The application provides an electrochemical impedance spectrum automatic modeling and fitting method, system, device and medium, and belongs to the technical field of electrochemical impedance spectrum data analysis. The method comprises the following steps: obtaining impedance spectrum data of an electrochemical system; performing relaxation time distribution analysis on the data to obtain a relaxation time distribution spectrum; identifying the number of effective peaks in the distribution spectrum; automatically constructing an equivalent circuit model based on the number of effective peaks; and determining the parameter values of each element in the equivalent circuit by using a complex nonlinear least square fitting method. The electrochemical impedance spectrum automatic modeling and fitting method, system, device and medium are used to automatically identify the number of internal physical and chemical processes of a system through a relaxation time distribution spectrum, and an equivalent circuit structure is constructed accordingly, so that the problems of the traditional modeling method, such as the dependence on artificial experience, the strong subjectivity of model selection, and the fragmentation of the DRT analysis and circuit modeling process, are solved, and the automatic impedance spectrum analysis of various electrochemical systems, such as fuel cells and electrolytic tanks, is applicable.

The invention relates to the technical field of electronic measurement and circuit analysis, in particular to a circuit model rapid identification and reproduction device and method based on impulse response, and the device comprises a microcontroller, a field programmable gate array, a signal generation module, a signal collection module, a data processing module and a signal reproduction module. Circuit modeling is realized through a technical route of impulse signal excitation-response acquisition-Fourier analysis, and the core method is as follows: a microcontroller outputs an approximate impulse signal with the width of 1 microsecond to an unknown circuit through a digital-to-analog converter, and the impulse response of the circuit is acquired by using the analog-to-digital converter and is discretized; the discrete data is transmitted to a field programmable gate array, frequency characteristics are obtained through fast Fourier transform operation, amplitude-frequency characteristics are analyzed to identify filtering types, and key parameters are extracted to construct a transfer function model; a finite impulse response filter coefficient is generated based on the model, and undistorted reproduction of an output signal of an unknown circuit is achieved.

The invention relates to a modeling analysis method for a low-frequency dynamic characteristic equivalent circuit of a flexible direct-current power transmission system, which comprises the following steps of: deducing a basic transfer function between active power and a d-axis alternating current component under the influence of factors such as outer loop alternating-current voltage control and a phase-locked loop, and expanding the basic transfer function into a multi-branch transfer function model; establishing a multi-branch equivalent circuit model connected to a weak network direct-current voltage control unit after model simplification and equivalence by combining a direct-current voltage control dynamic state; based on equivalent physical circuit parameters such as equivalent resistance and equivalent inductance of the corresponding equivalent RL circuit branch, the influence degrees of multiple control links and interaction thereof, power grid strength and the like are quantitatively evaluated; a whole-system direct current side equivalent RLC circuit model is obtained by combining the dynamic states of a direct current voltage control unit and a constant power control unit, so that the low-frequency dynamic characteristic mechanism of the flexible direct current power transmission system can be clearly and intuitively seen from the perspective of an equivalent circuit, and the impedance analysis of the system can be carried out by establishing a total parallel impedance expression.

A system (100) for charging a battery (104) includes a first switch (312, 412) coupled to a power source (302). An inductive element (318) (which may be part of a filter) is coupled to the switch. The system includes a processor (106, 306, 406) in communication with the switch (312, 412) and in communication with a model (114) of the inductive element. Control of the switch by the processor generates a train of pulses in the first inductive element to generate a shaped charging waveform for the model of the inductive element (318).

This invention discloses a method and apparatus for monitoring the insulation status of a capacitor bank. The method includes acquiring the circuit structure of the capacitor bank to be monitored, performing three-phase circuit modeling according to the circuit structure, generating a capacitor bank model, simulating the insulation status using the capacitor bank model, generating a monitoring current ratio, and when receiving scheduling data sent by an external terminal, determining the corresponding equivalent capacitance ratio based on the monitoring current ratio and the scheduling data. Based on the equivalent capacitance ratio and a preset state threshold range, it is determined whether the insulation status of the capacitor bank to be monitored is abnormal, thereby effectively reducing monitoring costs while ensuring the accuracy of insulation status monitoring.

The application provides an extended Debye equivalent circuit modeling method, device, equipment and medium, relates to the technical field of extended Debye equivalent circuit modeling, and the method carries out the depolarization current test on the oil-paper insulation equipment, obtains the depolarization current curve; the curve is subjected to longitudinal axis natural logarithm coordinate transformation, and the depolarization current logarithm curve is obtained; starting from the end linear region of the logarithm curve, each linear sub-spectrum line is separated in turn, and the slope and intercept of each sub-spectrum line are extracted; according to the slope and intercept, the polarization resistance and polarization capacitance of the corresponding polarization branch are calculated by using a preset function relationship; the total number of separated sub-spectrum lines is the number of polarization branches of the extended Debye equivalent circuit. The method does not need complex intelligent optimization algorithm iteration or differential preprocessing, can directly, efficiently and high-precisely identify equivalent circuit parameters and determine the number of polarization branches, improves the reliability and efficiency of modeling, and lays a foundation for accurate aging state evaluation of oil-paper insulation equipment.

The invention discloses a migratable analog circuit modeling method based on a graph attention neural network, and particularly relates to the technical field of integrated circuits. The invention discloses a migratable analog circuit modeling method based on a graph attention neural network. The method comprises the following steps: acquiring a large amount of data of analog integrated circuit design parameters and performance indexes under a process A and a small amount of data of analog integrated circuit design parameters and performance indexes under a process B through Cadence simulation software; a graph data construction method fusing physical characteristics and electrical characteristics of a circuit is provided, and analog integrated circuit characteristics under a process A are learned step by step through a constructed graph attention neural network model. And based on the extracted circuit characteristics of the process A and a transfer learning method, constructing a transfer learning model for describing the mapping relationship between the design parameters and the performance indexes of the analog integrated circuit under the process B, completing high-precision modeling of the analog integrated circuit of the process B under a small sample condition, effectively replacing a circuit simulator, and reducing the design cost.

The application discloses a method and system for automatically modeling a circuit in lithium ion battery electrochemical impedance spectrum analysis, and the method comprises the following steps: 1) obtaining electrochemical impedance spectrum data of a lithium ion battery to be analyzed; 2) deleting data with positive imaginary parts in a Nyquist diagram of the obtained electrochemical impedance spectrum data of the lithium ion battery to be analyzed, and retaining the rest of the impedance spectrum data; and 3) using the retained impedance spectrum data to calculate fitting precision in fitness of an equivalent circuit model, and obtaining a total fitness evaluation result of a single equivalent circuit model in combination with complexity of the equivalent circuit model. The system comprises a data acquisition module, a data processing module and a calculation module. The application can quickly select a circuit model by using a genetic algorithm, and can identify parameters of circuit elements by using a nonlinear least square method.

The invention provides a piezoelectric ceramic equivalent circuit modeling method and system based on a DSAC-T algorithm, and belongs to the technical field of piezoelectric ceramics. The method comprises the following steps: constructing a reward function of a DSAC-T algorithm according to impedance data of piezoelectric ceramics and an electrical equivalent circuit model, solving a maximum cumulative reward based on the reward function, repeatedly iterating until the maximum cumulative reward converges, and finally obtaining a state space which is an optimal equivalent circuit parameter of the piezoelectric ceramics; and substituting the optimal equivalent circuit parameter of the optimal piezoelectric ceramic into the relational expression of the electrical equivalent circuit parameter and the material parameter at the resonant position of the piezoelectric ceramic to obtain the optimal piezoelectric ceramic material parameter, and carrying out accuracy verification to complete modeling of the piezoelectric ceramic equivalent circuit. According to the method, the efficiency and the precision of acquiring the parameters of the optimal piezoelectric ceramic materials with different sizes are improved.