46 results about "Electrical model" patented technology

The invention discloses a dual-motor driving system of a variable-stiffness robot joint and a dual-motor cooperative variable-stiffness control method of the dual-motor driving system. The dual-motor cooperative variable-stiffness control method comprises the steps that motor parameters of a first motor and a second motor and joint parameters of the variable-stiffness robot joint are obtained; constructing a motor electrical model, a motor mechanical model, a joint mechanical model and a spring-damping model of the backlash according to the motor parameters and the joint parameters; determining a total optimization objective function, and solving the total optimization objective function according to the motor electrical model, the motor mechanical model, the joint mechanical model and the spring-damping model to obtain a first current error and a second current error; designing a cooperative controller according to the first current error and the second current error, and outputting a control quantity; and performing dual-motor cooperative variable stiffness control on the first motor and the second motor according to the control quantity. The response speed and rigidity flexibility of the variable-rigidity robot joint can be improved, and the variable-rigidity robot joint can be widely applied to the technical field of motor control.

The embodiment of the invention provides a cable early-stage fault positioning method and device based on metal sheath parameters. The cable early-stage fault positioning method based on the metal sheath parameters comprises the steps that a cable electrical model is established based on electrical parameters; obtaining a key electrical quantity, comparing the key electrical quantity with a preset threshold value, and determining a comparison result; determining fault feature information based on the comparison result; and determining a fault point based on the fault feature information and the fault positioning equation. According to the scheme, the impedance characteristic of the cable metal sheath is utilized, and the parameters of the metal sheath are introduced into a fault positioning algorithm. According to the method, the positioning error is effectively reduced, the accuracy of the early fault positioning process is remarkably improved, and a more efficient and more accurate solution is provided for solving the detection and positioning problems of the power system in the early stage of the fault.

The invention relates to a power distribution network planning adjustment method and device based on digital twin and multi-objective optimization, belongs to the technical field of power distribution network planning, and solves the problems that an existing planning result is not accurate enough, the anti-risk capability is insufficient and a dynamic adjustment mechanism is lacked. The method comprises the following steps: constructing a digital twinborn model of the power distribution network; a prediction model is constructed, and a prediction result is fed back to the digital twinborn model; introducing Monte Carlo simulation to generate a plurality of operation scene sets, executing digital twin simulation on each operation scene set to obtain network state distribution under different scenes, and quantifying system response characteristics under uncertainty; constructing a multi-target robust optimization model in combination with the network state distribution and the system response characteristics, and optimizing a power distribution network planning and equipment investment scheme; and the actual power distribution network investment data and the operation state are transmitted back to the digital twinborn model so as to adjust the electrical model and the prediction model of the digital twinborn model. And closed-loop self-learning of planning-implementation-correction is realized.

The application discloses a kind of electrical model light weight translation software methods based on IFC data format, it is related to model data processing technical field, including the following steps: extracting industrial foundation IFC data format electrical model geometry data, attribute data and topological relation data, based on the electrical equipment shell of the electrical model, electrical circuit and electrical component, the electrical model is divided into geometry layer, attribute layer and topological layer, and the geometry layer, attribute layer and topological layer are removed to redundant information, obtain the simplified simplified electrical model.This is through the geometry, attribute and topological data of electrical model and implements hierarchical light weight processing, rather than using general simplification strategy, effectively removes the redundant information of each level, achieves the effect of accurately reducing model data amount, realizes the efficient transmission and quick loading of translated model in different hardware terminal, improves the basic application ability of model cross-device platform.

An optimization method for BLDC non-inductive low-speed starting based on IF starting and flux estimation, comprising the following steps: step one: establishing a BLDC motor electrical model, and obtaining relevant parameters for building a current double closed loop model through the BLDC motor electrical model; step two: based on the simulink simulation software, building a current double closed loop model of d and q axes; step three: based on the current double closed loop model built in step two, realizing IF open loop low-speed starting and acceleration of the BLDC motor; step four: constructing a discrete nonlinear flux observer, and online estimating the flux to obtain the rotor electric angle_ref and the equivalent back electromotive force component; step five: according to the equivalent back electromotive force component, online following and correcting the open loop electric angle. The present application can realize quick and undisturbed switching from open loop starting to non-inductive closed loop control, thereby significantly improving the starting success rate and operation stability of the BLDC motor under low-speed working conditions.

The application provides a SiC MOSFET behavior modeling method based on physical mechanism optimization, comprising: for a SiC MOSFET output characteristic curve, constructing a static electrical model structure of the SiC MOSFET on the basis of considering a drain-induced barrier lowering effect of the SiC MOSFET; based on the static electrical model structure, adopting a voltage function to describe nonlinear behavior of an interelectrode capacitance varying with a bias voltage, and constructing a dynamic characteristic model structure of the SiC MOSFET; adopting a method combining experimental data and structure function analysis to perform physical mechanism optimization on the static electrical model structure and the dynamic characteristic model structure, and obtaining a final required SiC MOSFET behavior model. The application can accurately reflect static and dynamic characteristics of the SiC MOSFET device, improve precision, applicability and convenience of parameter extraction of the model, and meet design requirements of a new generation of high-performance power electronic systems.

FIELD: medicine.SUBSTANCE: group of inventions relates to a method for multi-frequency bioelectrical impedance analysis and a device for implementing it. Alternating electric current signals are passed through the human body. Each signal has one of three different frequencies. At each frequency, the amplitude of the voltage of the signals passing through the human body is measured. An initial phase angle is selected for each specific impedance module. The phase angle characterizes the phase shift of the current of signals entering the human body relative to the phase of the voltage of signals passing through the human body. At each frequency, the phase angle is estimated using an equivalent electrical model of the human body, the initial phase angle and the impedance modulus. A body model is created for a specific person. The ratio of extracellular water content to total body water content in a human is determined by inputting extracted parameters of the human body model into a trained machine learning model. The device comprises a source of alternating electric current signals, electrodes for conducting and reading signals, a measuring device for measuring signal parameters, a processor and memory.EFFECT: device is compact and has small-area electrodes for integration into wearable and / or portable devices while maintaining measurement accuracy.14 cl, 6 dwg

The invention discloses a power distribution network node self-triggering power control method, a control device and a planning device. The method comprises the following steps: acquiring a topological structure of a power distribution network and node information data of each node in the topological structure; according to the topological structure and the node information data of each node in the topological structure, respectively constructing a primary side electrical model and a secondary side information model of the power distribution network; on the basis of the primary side electrical model and the secondary side information model, a combined state vector is generated through a coupling function, and a primary and secondary fusion model of the power distribution network is given in combination with constraint conditions; based on a service interaction mode of digital twin rehearsal, combined with a primary and secondary fusion model of the power distribution network, providing a node for triggering control in the power distribution network and a corresponding power control function so as to carry out node self-triggering power control of the power distribution network. According to the method, the non-perception power supply capability of the load can be ensured, and finally, the reliability, the expandability and the engineering applicability of the power distribution network in a non-power-cut operation scene are remarkably improved.

The invention belongs to the technical field of power distribution networks, particularly relates to a power distribution photovoltaic access capacity evaluation method of a lightweight four-fusion device, and aims at solving the problems that an existing evaluation method depends on a detailed power grid model, calculation is complex or precision is insufficient. The method comprises the following steps: acquiring local electrical quantity time sequence data, constructing an equivalent electrical model and determining an equivalent impedance parameter; performing iterative simulation based on the equivalent electrical model, and gradually increasing the accumulated virtual photovoltaic grid-connected capacity by superposing a preset power value serving as an iteration step length in each iteration process; and when the key electrical quantity of the monitoring point reaches a preset operation constraint boundary, stopping the iteration process, and determining the accumulated virtual photovoltaic grid-connected total capacity before the last iteration process causing iteration stopping as the photovoltaic accessible capacity of the monitoring point. According to the invention, the method does not need to obtain the topological parameters of the whole network, only depends on the local measurement data, and achieves the efficient and precise evaluation of the photovoltaic access capacity.

The invention relates to the technical field of micro-grid operation control and energy management, and discloses a micro-grid intelligent management and control terminal. An HMI module; an encryption module; the communication module is used for reading topological information of the micro-grid and collecting real-time output and load power requirements of the distributed power supply; and the calculation module is used for constructing a micro-grid electrical model by using the topological information, generating an optimization model taking maximization of local consumption of new energy as a core target based on the micro-grid electrical model, refreshing the optimization model by using real-time output and load power requirements of the distributed power supply, and outputting a control instruction of the micro-grid. According to the invention, the micro-grid modeling and optimization algorithm is integrated to the local terminal, through optimal power flow calculation and multiple safety verification, the optimization regulation and control instruction is generated and issued, the global optimization and closed-loop control of the micro-grid are realized, and the economy, safety and new energy consumption capability of system operation are effectively improved.

The invention discloses an electrical information collaborative management method, belongs to the field of electrical equipment operation and maintenance management, and solves the problems that drawings are inconvenient to draw, updating and intercommunication are difficult, query is split, and accessories are troublesome to compile in the operation and maintenance of existing electrical secondary equipment. The system is adaptive to multiple operating systems based on software, and comprises five basic modules of networking management, model management, system management, drawing information and information query and extension modules of action simulation and the like. The networking management realizes unit authority control and information pushing, the model management establishes a standardized component model containing a three-dimensional / electrical model and associates with a DWG file, the system management constructs a three-layer systematic model, drawing information is rendered in real time, a drawing and a printing format are output, and information query supports multi-condition retrieval and loop visualization. According to the method, drawing management is optimized, cross-unit cooperation efficiency is improved, construction operation and maintenance burden is reduced, simulation verification and iterative optimization are supported, and the method is suitable for dense electrical equipment scenes such as hydraulic power plants.

1. The name of the design product: electrical model detection system. 2. The use of the design product: the design product is used for detecting the electrical model of silicon wafer. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

According to the power distribution network optimization scheduling method based on overload scene prediction, through cooperation of multiple modules in a power distribution network electrical model, the accuracy of power distribution network operation can be effectively improved, the power distribution network electrical model is constructed firstly, then a precise load prediction result is output by using historical load data, and the scene type is judged in combination with the model; and when the three typical scenes of heavy load, overload and heavy overload are identified, minimizing the number of the heavy load, overload and heavy overload branches is taken as a target function, the optimal operation mode and distribution load of the line under the three typical scenes of heavy load, overload and heavy overload are optimized and calculated, and finally an optimized scheduling scheme is generated, so that the intelligent management level of the power distribution network is improved, and the power distribution network is optimized. Risks of heavy load and overload are reduced and stable and reliable operation of the power distribution network is guaranteed.

The application belongs to the technical field of geophysical exploration, and specifically discloses a joint inversion method and system for geohole controlled source electromagnetic method based on a tensor source, which comprises the following steps: using the CSEM in the ground and the well to perform forward modeling on the established three-dimensional electrical model to obtain impedance tensors and tilts of the tensor controlled source; using a model roughness matrix and a data fitting term to construct a three-dimensional ground and well CSEM joint inversion objective function and a gradient of the inversion objective function; and using an L-BFGS optimization algorithm based on a momentum method to solve the gradient of the inversion objective function and to invert the underground electrical structure. Through joint inversion, the application combines the controlled source electromagnetic data in the ground and the well, improves the lateral and longitudinal resolution of exploration, reduces the multi-solution property of inversion, and makes the inversion result more reliable.

The invention discloses a transient electromagnetic data wavelet noise reduction method based on a stratum electromagnetic simulation signal threshold value, and relates to the technical field of exploration data processing. According to the method, a non-interference transient electromagnetic simulation signal is obtained through forward modeling of a geoelectric model in a measuring area, coefficient filtering threshold values of all layers are extracted through three-layer wavelet decomposition to serve as reference; performing threshold filtering processing on a wavelet decomposition coefficient layer corresponding to measured data, and performing signal reconstruction to obtain denoised data; according to the scheme, the problem of misjudgment caused by the fact that threshold setting of an existing wavelet threshold noise reduction technology depends on noise interference data is solved, noise interference is reduced, the data smoothness degree is guaranteed, and higher adaptability and reliability are achieved; the method can be applied to field actual measurement data noise reduction processing, and a reliable source data basis is provided for high-precision inversion and interpretation.

The application discloses a single-photon avalanche diode modeling method based on Verilog-A, which comprises the following steps: model parameter definition and initialization; judging the state of the single-photon avalanche diode, if the avalanche is closed, performing statistical model calculation, judging whether the avalanche state is opened according to the statistical model calculation result, if the avalanche is opened, performing electrical model calculation, updating the avalanche state according to the electrical model calculation result and the quenching threshold current based on Gaussian distribution, and outputting each current; the statistical model calculation comprises calculating the photon detection event time, the dark count event occurrence time and the post-pulse trigger time; the electrical model calculation comprises calculating the leakage current and the segmented avalanche current, and calculating the junction charge of the SPAD cathode-anode, the parasitic capacitance charge of the SPAD cathode-substrate and the parasitic capacitance charge of the SPAD anode-substrate, so as to calculate the corresponding current according to the charge-current relationship. The application can comprehensively reflect the working characteristics of the device.

The invention relates to a method for monitoring an energy storage element consisting of one or more battery cells, comprising the following steps: obtaining a voltage measurement (V) across the storage element and a current measurement (C) through the storage element; determining a time variation of the measured voltage; determining an acceptable range for said time variation from the measured voltage, the measured current, and an equivalent electrical model of the storage element; verifying that said time variation is within the acceptable range; and, when said time variation is not within the acceptable range, triggering a battery protection mode. Figure 1

The application provides a construction method of a voltage segment layered calculation architecture, which comprises the following steps: collecting node voltage historical operation data and node active power historical operation data in a low-voltage distribution network and determining a daytime operation period and a nighttime operation period; obtaining a daytime training data set according to the daytime operation period and a nighttime training data set according to the nighttime operation period; constructing a basic layer and a regulation and control layer of the low-voltage distribution network in different operation periods according to the daytime training data set and the nighttime training data set; obtaining a basic operation voltage and a voltage change amount of the low-voltage distribution network in different periods, and calculating an actual voltage of the low-voltage distribution network in different periods according to the basic operation voltage and the voltage change amount. According to the technical scheme, the accuracy of voltage calculation without an electrical model of the low-voltage active distribution network can be improved.

Provided in the present invention are a scattering parameter thermal coupling method and system, and a related apparatus. The method comprises: constructing a three-dimensional equivalent heat transfer model for a target device; acquiring an ambient thermal resistance of the target device on the basis of the three-dimensional equivalent heat transfer model; acquiring a scattering matrix Si of each element; coupling a temperature drift coefficient of the device with scattering matrices to obtain coupled scattering matrices Si'; performing electrical connection on the basis of connection modes of different elements in the device, so as to obtain an electrical model; coupling the electrical model with the ambient thermal resistance by means of a corresponding dissipation power, so as to establish a power model; calculating a temperature corresponding to each coupled scattering matrix Si'; on the basis of the temperature, adjusting the scattering matrix Si by using a preset adjustment method, so as to obtain an adjusted matrix Si''; and determining whether Si'' minus Si' is equal to 0, and if Si'' minus Si' is equal to 0, outputting the power model as a scattering parameter thermal coupling result. The present method more closely aligns with test conditions of actual devices, resulting in more accurate temperature drift prediction results.

The application discloses a pinch detection method and system based on a motor dynamics model, which comprises the following steps: acquiring the current angular velocity and armature current of a seat motor in real time; based on the motor dynamics equation and the motor electrical model, combining the speed component generated by the current angular velocity and the armature current load component after stripping the inertia component, obtaining the comprehensive pinch force including the speed pinch force and the torque pinch force; judging whether the comprehensive pinch force meets the preset trigger condition; if the trigger condition is met, the corresponding pinch response is executed. The application can accurately eliminate the inertia interference generated by the system acceleration and deceleration without accurate calibration of the rotational inertia, which eliminates the large-scale artificial calibration cost, significantly improves the sensitivity and robustness of the pinch detection in mechanical aging and complex environment, is suitable for the pinch protection of movable parts driven by the motor such as automobile seats, electric doors and windows, and has the advantages of strong self-adaptation, high precision and good robustness.

This invention discloses a method and apparatus for evaluating the detection capability of frequency-domain electrical source induction electromagnetic method. The method includes: generating an electrical model based on the electrical structural characteristics of the exploration area; using the electrical model to perform forward modeling based on preset emission and observation parameters to simulate the vertical magnetic field components of each excitation source at each observation point, as well as the electric or magnetic field components to be evaluated; for each excitation source, determining the virtual ratio of the vertical magnetic field at each observation point based on the vertical magnetic field components, where the virtual ratio is the ratio of the imaginary part of the vertical magnetic field component to the amplitude of the vertical magnetic field; determining the detection illumination at each observation point based on the amplitude of the electric or magnetic field components, the virtual ratio, a preset virtual ratio benchmark, and preset background noise parameters; and summing the detection illumination of each excitation source at each observation point to obtain the total illumination at each observation point. This method can accurately evaluate the detection capability of multi-source coverage areas and has strong applicability.

The application provides a multi-finger structure LDMOS model construction method, device and equipment, relates to the electronic circuit simulation technical field, and the method comprises the following steps: constructing a drift region resistance model reflecting the nonlinear influence of the number of finger-shaped units in the multi-finger structure on the drift region resistance; based on the drift region resistance model and the intrinsic metal oxide semiconductor, constructing an LDMOS electrical model reflecting the characteristics of the multi-finger structure; based on the thermal resistance, the heat capacity and the power consumption input source, constructing a non-distributed thermal network for simulating the self-heating effect, and nonlinearly correcting the thermal resistance of the multi-finger structure LDMOS; thermoelectrically coupling the LDMOS electrical model and the non-distributed thermal network to obtain a multi-finger structure LDMOS model including the self-heating effect. By adopting the multi-finger structure LDMOS model construction method, device and equipment, the construction accuracy of the multi-finger structure LDMOS model is improved.

The invention discloses a motor design stage-oriented motor bearing voltage modeling prediction system and method, and relates to the technical field of motor design. Extracting stray capacitance between the stator winding and the casing, stray capacitance between the stator winding and the rotating shaft and stray capacitance between the casing and the rotating shaft based on static field finite element simulation; the inductance parameter extraction module is used for extracting winding common mode inductance, winding end inductance and winding mutual inductance based on electromagnetic field finite element simulation; an equivalent circuit model construction module; the input end of the netlist generation module is connected with the equivalent circuit model construction module; a simulation calculation module; and a result output module. Parameters of parasitic capacitance and parasitic inductance are extracted through static electric field and electromagnetic field finite element simulation, an equivalent circuit comprising a common-mode voltage source and a bearing electrical model is constructed, a bearing voltage waveform is obtained through time domain simulation based on an SPICE netlist, and the accuracy of bearing voltage evaluation in the motor design stage is remarkably improved.

The present application relates to the technical field of vehicles, and in particular to a frame multi-objective optimization method based on rollover collision battery pack safety, comprising the following steps: constructing a battery homogenization mechanical model to obtain the distance between the current collectors of the positive and negative electrodes of the battery under stress; establishing an electrical model of the battery through an equivalent circuit, and determining whether the battery is short-circuited according to the distance between the current collectors of the positive and negative electrodes in the electrical model of the battery; establishing a three-dimensional model of the frame of the mobile charging vehicle to obtain the instantaneous angular velocity, and analyzing the damage degree of the battery through a coupling model; converting each unit of the finite element analysis model into an independent cell, adjusting the cell properties according to the preset rules, and performing multiple rounds of iteration on the cell properties to complete the optimization of the frame model. The present application can simultaneously achieve lightweight of the frame and improvement of the battery pack safety in view of the deficiency of the optimization of the battery pack safety during rollover collision, and effectively improves the optimization efficiency of the complex model.

The invention discloses a simulation modeling method and device for a pumped storage power station unit, and the method comprises the steps: collecting multi-source heterogeneous data, and obtaining a standardized model input data set; respectively constructing a hydraulic model and a mechanical transmission model by utilizing the hydraulic parameters and the mechanical parameters, and forming a hydraulic-mechanical subsystem coupling model through the coupling relationship between the rotating speed and the torque; constructing an electrical model and a control system model based on the electrical parameters and the control parameters; integrating the electrical model, the control system model and the hydraulic-mechanical subsystem coupling model to obtain a preliminary unit overall model framework; grouping and optimizing the to-be-identified parameters according to the parameter sensitivity by adopting a two-stage dual-objective optimization algorithm based on a grouping strategy to obtain an optimized and corrected unit simulation model; and selecting a transient condition for simulation verification. According to the technical scheme, the dynamic characteristics of the pumped storage power station unit under the wide working condition can be reflected more accurately, and the balance between the model precision and the calculation efficiency is improved.

The application relates to a high-voltage frequency converter digital twin modeling system and method, and belongs to the technical field of digital twin equipment and methods. The technical scheme of the application is that a data acquisition module and a data preprocessing module are connected with each other, and a digital twin modeling module is connected with the data preprocessing module and a component degradation modeling module respectively. The application has the beneficial effects that by constructing a multi-physical-field coupling twin model, the problem of large simulation deviation of a single electrical model under non-ideal working conditions is solved, and the virtual-to-real mapping precision is greatly improved; by embedding a degradation model with a harmonic aging factor, the dynamic updating of model parameters with the equipment state is realized, and the problem of continuous expansion of the deviation of a static model with the running time is solved; by building a health-driven low-harmonic collaborative closed-loop control mechanism, the operation and maintenance and harmonic control are deeply integrated, and the practical value of the system engineering is significantly improved.

This invention discloses a method, system, device, and medium for modeling the electro-magnetic-thermal coupling characteristics of a three-phase integrated high-temperature superconducting cable. The method includes: establishing an electrical model based on the equivalent circuit of parallel multilayer tapes; considering interlayer and interphase electromagnetic coupling in the current distribution model to obtain the current in each tape layer; establishing a critical characteristic and equivalent resistance calculation model using the gold extended model considering magnetic field anisotropy and combining it with power-law relations, and calculating AC losses; establishing a two-dimensional heat transfer model considering interlayer thermal resistance with AC losses as a heat source term, and correcting the circumferential non-uniform convection heat transfer conditions and interphase heat conduction channels through angular weighting functions and shape factors; iterating based on time parameters, feeding the temperature field and equivalent resistance back to the current distribution model to achieve closed-loop updates, and outputting electro-magnetic-thermal coupling simulation results, thereby providing a calculation model that more closely matches the actual operating conditions for the steady-state and fault condition simulation of a three-phase integrated high-temperature superconducting cable.

The invention relates to an electrical loop wiring correctness diagnosis method based on synchronous comparison of multi-source asynchronous data, and belongs to the technical field of automatic detection and fault diagnosis of a power system. According to the method, terminal acquisition data sources at different installation positions in a power system are uniformly placed on a cloud data platform for synchronous comparison, microsecond-level data synchronization is realized based on an absolute timestamp and an interpolation algorithm, and a virtual electrical model based on actual parameters is constructed after multi-source asynchronous electrical quantity data streams are synchronized on the cloud platform. A proper electrical reference quantity is selected as a theoretical input value to calculate a theoretical response parameter at a downstream electrical node, and the theoretical response parameter and an actual measurement value are combined with FFT to carry out amplitude phase analysis; whether the wiring of each electrical loop in the system has problems (such as wiring error, poor contact and short circuit fault) is diagnosed through the phase angle and amplitude deviation between the theoretical value and the measured value, the tiny phase deviation can be accurately captured, the diagnosis result is reliable, and the accuracy is high.

An effective capacity estimation method and system for super capacitor energy storage systems are provided. The method includes: establishing a nonlinear electrical model of supercapacitor cell and an equivalent electrical model of a supercapacitor system; obtaining the first test data by charging the supercapacitor cell; based on the first test data, setting the initial value of parameters of the nonlinear electrical model of the supercapacitor cell by a preset algorithm; using a least-square method to identify the parameters of the nonlinear electrical model of the supercapacitor cell; obtaining electrical parameters of the equivalent electrical model of the supercapacitor system except the connection resistance parameters, carrying out a charging test of the supercapacitor system to obtain the connection resistance parameters, and estimating an effective capacity of the supercapacitor energy storage system based on the equivalent electrical model of the supercapacitor system after parameter identification.