6 results about "Charge conservation" patented technology

The application discloses a method for quickly obtaining a steady-state space electric field of an insulation layer of a self-powered detector, and comprises the following steps: obtaining radiation field information and detector information at a position where a self-powered neutron detector is located, and simulating to obtain an electric charge deposition amount generated by irradiation current in different radius intervals per unit time of the detector; according to the law of conservation of electric charge, estimating an electric charge loss amount generated by conduction current in different radius intervals of an insulator per unit time under a steady-state condition; combining Ohm's law to establish an expression of the electric charge loss amount generated by the conduction current about an electric field intensity under the steady-state condition, and combining a boundary condition to obtain an electric field intensity distribution, an electric charge density distribution and a potential distribution. The application can effectively improve the calculation efficiency and realize efficient simulation of the sensitivity of the self-powered neutron detector.

This invention relates to the field of power equipment insulation condition monitoring technology, and discloses a multi-source intelligent fault judgment method for compact ring main units (ECT) and electronic current transformers (EVTs). The method includes: simultaneously acquiring transient voltage and current data of the electronic current transformer in response to a voltage step event triggered by the closing action of the grounding switch; selecting short-time window data at the moment of the step, calculating the ratio of accumulated charge to voltage drop amplitude based on the principle of charge conservation, and calibrating the parasitic capacitance parameters of the equipment; constructing a capacitive displacement component using the parasitic capacitance parameters and voltage change rate, and decoupling it from the total current to reconstruct the dielectric response current reflecting the polarization process of the insulation material; performing multi-timescale decay trend analysis on the dielectric response current to identify the mechanism switching moment, and generating diagnostic results for insulation dampness or interface degradation accordingly. This invention can effectively suppress structural capacitance interference and achieve low-cost, high-precision insulation condition assessment.

The invention relates to the technical field of power equipment insulation state monitoring, and discloses a compact ring main unit ECT and EVT multi-source data intelligent fault criterion method, which comprises the following steps: responding to a voltage step event triggered by a closing action of a grounding switch, and synchronously acquiring transient voltage and current data of an electronic transformer; selecting short-time window data at a step moment, calculating a ratio of an accumulated charge quantity to a voltage drop amplitude based on a charge conservation principle, and calibrating a parasitic capacitance parameter of the equipment; constructing a capacitive displacement component by using equipment parasitic capacitance parameters and the voltage change rate, decoupling from the total current, and reconstructing a dielectric response current reflecting the polarization process of the insulating material; and carrying out multi-time scale attenuation trend analysis on the medium response current, identifying a mechanism switching moment, and generating a diagnosis result of insulation damp or interface deterioration according to the mechanism switching moment. According to the invention, structural capacitance interference can be effectively suppressed, and low-cost and high-precision insulation state evaluation is realized.

The invention discloses an energy storage battery temperature field sensing method using a multi-physics field coupling and order reduction technology, and relates to the technical field of energy storage and intelligent monitoring. The method comprises the specific steps of constructing a three-dimensional geometric model, establishing a multi-physics field coupling model, obtaining full-order temperature field simulation data, training a temperature field reduced-order model and sensing a real-time temperature field. According to the method, a multi-physical field coupling model is constructed, an electrochemical model and a flowing heat dissipation model are deeply fused, and energy conservation and positive and negative charge conservation equations are introduced, so that refined simulation of the temperature field of the energy storage battery and combination of a discharge depth formula and an electrochemical volume current transmissibility formula are realized; electrochemical reaction characteristics in the battery charging and discharging process can be accurately quantified, a pipeline flow change formula and a fluid energy equation can dynamically simulate the heat dissipation effect of a cooling system, and meanwhile, the calculation complexity is reduced based on the reduced-order model training technology of the convolutional neural network.

The invention relates to the technical field of battery management systems, discloses an all-vanadium redox flow battery state-of-charge prediction method based on hierarchical physical prior strengthening, and aims to realize accurate prediction of the battery state-of-charge. The method comprises the following steps: collecting an endogenous time sequence and an exogenous time sequence of all-vanadium redox flow battery operation; respectively performing embedding processing on the endogenous time sequence and the exogenous time sequence to obtain an endogenous feature marker and an exogenous feature marker; wherein the endogenous time sequence is a charge state sequence, and the exogenous time sequence comprises current, terminal voltage, open-circuit voltage and temperature. And sequentially carrying out local time sequence feature extraction, physical memory state tracking, electrochemical dynamic state correction, endogenous and endogenous feature fusion and thermodynamic constraint enhancement processing on the endogenous feature mark and the exogenous feature mark, and outputting a feature vector after physical consistency enhancement. And performing constraint adjustment on the feature vector after physical consistency enhancement based on the law of conservation of charge, and outputting a final state of charge prediction result.

The invention provides a ferroelectric field effect transistor modeling and simulation method, device, equipment and medium, and the method comprises the steps: building a coupling equation system for describing a key physical quantity incidence relation among ferroelectric layer polarization, interface trapped charges and potential distribution, and enabling the equation system to comprise a charge conservation equation introducing a trapped charge density item; when charge trapping occurs in an interface trap and trap trapped charge evolution is caused, a charge conservation equation is fed back to act on the ferroelectric layer, redistribution of effective field intensity in the ferroelectric layer is caused, and change of polarization overturning dynamics is induced; setting fixed parameters of adapter device characteristics, and configuring simulation pulse waves including the whole process from pre-pulse and covering device writing to reading; and according to the set simulation parameters, on the basis of the constructed model equation, the configured pulse waveform and the fixed parameters, through a self-consistent iterative algorithm in combination with charge conservation conditions, determining the relationship of source-drain current changing with grid voltage, and realizing electrical property simulation of the FeFET device.