311 results about "Dynamic impedance" patented technology

The invention provides a self-adaptive impedance matching method and system of a microwave frequency band. The method comprises the following steps: performing initial impedance measurement on a plurality of microwave component ports to obtain a complex impedance parameter as a matching reference; in the operation process, a current impedance state and a reflection coefficient are collected through a reflection monitoring mechanism, and a dynamic impedance state vector is constructed; inputting the state information into an adaptive algorithm module, generating a matching parameter vector and configuring an adjustable device to realize real-time adjustment of a matching network; calculating a matching error according to the current reflection state and a target reference value, and driving parameters to be iteratively updated; after the matching precision requirement is met, the final parameters are loaded to the controller to complete actual configuration; meanwhile, the system periodically collects environmental parameters and matching effects, and dynamically judges whether rematching is needed or not so as to maintain long-term stable operation of the system. The method has the capabilities of automatic sensing, closed-loop optimization and environmental change adaptation, and can improve the matching efficiency and signal transmission quality of a microwave system under multi-band and high-dynamic working conditions.

The invention provides an intelligent harmonic dynamic compensation method and system for a data center. According to the method, server heat source surface temperature field distribution is monitored in real time through a distributed optical fiber temperature measurement array, and a dynamic impedance spectrum is generated; when the temperature gradient exceeds the flash evaporation critical value of the fluorinated cooling liquid, an active filter is activated to carry out dynamic impedance matching compensation on high-frequency harmonic current in the liquid cooling tank cabinet, and a pulse width modulation control signal of a circulating pump is generated; the compensation power of the filter and the turbulence intensity of the cooling liquid are synchronously adjusted by analyzing the coupling relation between the flowing vortex intensity of the cooling liquid and the dielectric polarization loss; when phase mismatch of a temperature field is caused by heat dissipation of multiple heat sources, a multi-band compensation strategy is reconstructed by utilizing frequency domain characteristics of a pulse width modulation signal and a compensation power historical value, and a cooling liquid branch flow distribution ratio and a filter frequency response curve are cooperatively adjusted. According to the technical scheme, the thermal stability and the electrical safety of the data center cooling machine room are improved.

The invention discloses a lithium battery thermal runaway active protection method and system combined with self-supervised learning, and relates to the technical field of thermal runaway protection, and the method comprises the steps: detecting the dynamic impedance of a battery through a high-frequency excitation signal; learning data internal distribution characteristics by comparing loss functions; constructing a generator to simulate early-stage characteristics of thermal runaway, and optimizing the sensitivity of a simulation model to an abnormal mode through a discriminator; the early warning value is updated in real time to adapt to battery aging and working condition changes; establishing a multi-physics field coupling model; the simulation data and real experiment data are fused; dynamically adjusting the charging current based on the battery health state; and positioning a thermal runaway fault unit through the graph neural network. By arranging the abnormity simulation module, the self-supervised learning module and the model building module, abnormal signals in the early stage of thermal runaway are found in advance, active protection is achieved, battery aging and working condition changes are adapted, and the accuracy and reliability of early warning are improved.

The invention relates to the technical field of power system testing, in particular to a transformer simulation test current optimization method based on dynamic impedance matching, which comprises the following steps: performing low-power scanning on a tested transformer to establish a nonlinear model capable of predicting harmonic waves; actively synthesizing the virtual impedance of the target power grid; and a feed-forward compensation current is generated by using a harmonic prediction model and is injected into the transformer after being superposed with a fundamental wave instruction. According to the method, accurate identification modeling is carried out on nonlinear characteristics of a tested unit, active synthesis of virtual impedance of a target power grid is combined, and harmonic compensation current is generated in real time by utilizing a feedforward control thought so as to optimize finally injected test current. According to the method, the problems of inaccurate power grid simulation and insufficient nonlinear response coupling of the transformer in a traditional test are solved, high-fidelity current injection is realized, real electrical behaviors of the transformer under various complex power grid working conditions can be accurately simulated, and the flexibility, accuracy and safety of the test are remarkably improved.

The invention discloses a method for realizing dynamic regulation and control of battery charging of a battery swap station control system, particularly relates to the field of battery charging control of a battery swap station, and aims to solve the problems of impedance mismatch and non-uniform current of a charging module by analyzing a ripple current waveform of the charging module and extracting impedance phase characteristics to generate a dynamic impedance difference matrix. On the basis of the matrix, calculating generalized entropy of impedance mismatch and topology reconstruction dynamic gain, optimizing charging module connection, dynamically establishing a parallel charging module group, and balancing current and relieving current unevenness through an anti-phase compensation signal; pWM waveform phase offset adjustment is utilized to realize staggered distribution of switching actions, and the ripple influence is reduced; the virtual charging unit is combined with bus voltage volatility analysis to deduce a charging power demand in real time and optimize power distribution; in addition, based on a three-dimensional temperature field model and a topology secondary reconstruction mechanism, local overheating is quickly responded, the adaptability, reliability and operation efficiency of the charging process are improved, and the service life of equipment is prolonged.

The invention relates to the technical field of substations, and discloses a safety assessment system and method for a main grounding grid of a substation. The method comprises the following steps: arranging a multi-point potential gradient sensor for a main grounding grid of a power transmission and transformation project transformer substation and carrying out synchronous measurement to obtain an original potential gradient data set; performing effective signal and interference signal distinguishing processing on the original potential gradient data set to obtain potential distribution information of the transformer substation grounding grid; establishing a transformer substation grounding grid dynamic impedance model for fault current analysis to obtain a whole-process potential distribution diagram including an initial stage, a steady-state stage and a recovery stage; and performing security risk assessment based on the whole-process potential distribution diagram, and outputting a security risk area report. According to the invention, effective measurement signals and interference signals are effectively distinguished, reliability and accuracy of grounding grid potential measurement data in a complex electromagnetic environment are significantly improved, and accurate positioning of a risk area and effective tracking of a hazard source are realized.

The invention discloses a self-adaptive variable impedance algorithm for hydraulic four-foot support unloading, which comprises the following specific steps: step 1, single-cycle variable impedance control: introducing a variable impedance control strategy in a single-step cycle, judging that a robot is subjected to large impact when a large force change rate is detected by a force sensor, and judging that the robot is subjected to large impact when the force change rate is larger; at the moment, expected force is rapidly adjusted to achieve force unloading, and therefore impact damage to structural parts is reduced; step 2, dynamic impedance coefficient adjustment: when it is detected that the impact force change rate exceeds a preset threshold value or the speed is increased, the impedance coefficient is dynamically reduced to reduce rigidity and improve flexibility, and rapid force unloading is assisted; and step 3, performing impact detection and real-time response. The hydraulic quadruped robot can dynamically adapt to complex tracks and stress changes, compliant control and whole-course stable operation are achieved, the unloading efficiency and the structural reliability are improved, the compliance and the movement capacity are also considered, and reliable support is provided for efficient walking of the hydraulic quadruped robot in the complex environment.

The embodiment of the invention provides a closed-loop control method for power driving and protection, and the method comprises the steps: constructing a voltage feedback type circuit through a high-speed operational amplifier, and forming a closed-loop gain structure through a feedback network of the voltage feedback type circuit; the load current of the output end of the voltage feedback type circuit is monitored in real time, and when the load current exceeds a first set threshold value, a protection mechanism is triggered to turn off the output stage; the power-on surge current is limited through the soft start control circuit; phase information of a load reflection coefficient is obtained, an inductance / capacitance combination of the variable dynamic impedance matching network is selected according to phase information table look-up, inductance / capacitance parameters are switched through a relay, and the transmission standing-wave ratio between the power amplifier and a load is optimized; monitoring the temperature of the radiating fin of the power tube, and dynamically adjusting the resistance value of the feedback network; and performing cooperative control of short-circuit protection, over-temperature protection and surge suppression according to the priority. According to the embodiment of the invention, the performance bottleneck in a load fluctuation scene is broken through.

The invention provides a netlike inverter indifference control and PCC point voltage drop optimization system and method, a reactive power error feedback module generates a reactive power compensation amount according to received reactive power reference information and collected reactive power information, and combines proportional integral control to eliminate a steady-state error so as to realize static indifference control of reactive power; the PCC point voltage drop feedforward compensation module dynamically adjusts the output voltage amplitude of the inverter according to the deviation between the theoretical reference voltage and the actual voltage of the PCC point, and directly counteracts the voltage drop caused by the line impedance; the dynamic impedance compensation module dynamically adjusts an integral coefficient of a PI controller according to an impedance parameter of a multi-machine parallel circuit, adapts to different impedance scenes, and ensures reactive power equalization and voltage balance under multi-machine parallel connection; through cooperation of closed-loop feedback and feed-forward compensation, static indifference control is realized, power grid disturbance is resisted, and system reliability is improved.

The invention provides a cell fault early warning method and system based on dynamic impedance fitting, and the method comprises the steps: carrying out the impedance test of a target battery, obtaining an impedance value at an initial moment, and charging the target battery; performing impedance recording on the target battery at each time point through the excitation current with the preset frequency to obtain a real-time impedance observation value; constructing an exponential decay model and performing impedance fitting prediction on the real-time impedance observation value at each time point to obtain a real-time impedance prediction value; and carrying out residual error fitting and deviation analysis on the real-time impedance observation value and the real-time impedance prediction value to obtain battery abnormal change monitoring data, and sending out early warning when the target battery cell has a fault. The problem that in the prior art, in the battery charging and discharging process, the battery impedance change cannot be detected in real time, and the battery fault cannot be early warned in time, so that the safety of the battery cell is poor is solved. According to the invention, the impedance abnormal change time can be fed back in time and early warning can be made, so that the safety of the battery cell is improved.

The invention discloses a land energy storage container self-adaptive liquid cooling heat dissipation device and method, the device comprises a liquid cooling unit, a self-adaptive circulation pipeline, a variable flow pump valve group, a distributed temperature sensing module and a BMS main control module, through data monitoring, model establishment, thermal load prediction, selection of a proper cooling mode, and introduction of reasonable compensation, the self-adaptive liquid cooling heat dissipation of the land energy storage container is realized. And the variable-frequency circulating pump and the valve body are adjusted and combined for execution. Through multi-parameter fusion control, dynamic impedance matching and intelligent algorithm optimization, a cooperative control mode of a variable orifice regulating valve and a variable frequency circulating pump is innovatively adopted, and dynamic matching of cooling loop impedance is achieved; through temperature field modeling, heat dissipation demand grading prediction, a cooling parameter self-optimization algorithm and fault self-diagnosis, the balance degree of the temperature field is effectively improved, heat dissipation energy consumption is reduced, environmental adaptability is enhanced, and meanwhile the method has the advantages of being high in reliability, wide in environmental adaptability and low in operation and maintenance cost.

The invention belongs to the technical field of unmanned aerial vehicle full-aviation electromagnetic detection, and particularly relates to a full-aviation frequency domain electromagnetic emission system and a control method. A broadband frequency mixing and matching circuit is connected in series between an H-bridge power inverter and an emission coil of an unmanned aerial vehicle electromagnetic emission system; the broadband mixing and matching circuit comprises a first resonance unit formed by connecting a fixed capacitor and an adjustable inductor in parallel and a second resonance unit formed by connecting a fixed capacitor and an adjustable inductor in parallel, and the first resonance unit and the second resonance unit are connected in series. The adjustable inductor is matched with the dynamic impedance of the inductive load by adjusting the inductance value, and the broadband frequency mixing and matching circuit can adjust the impedance in real time, so that the matching of different resonant frequencies is realized, and the frequency range of a matching signal can be obviously widened.

The invention relates to the technical field of on-load voltage regulation, in particular to a transformer on-load voltage regulation control method. According to the technical scheme, the transformer on-load voltage regulation control method comprises the following steps that S1, a transformer cluster running in parallel is decomposed into distributed intelligent nodes, and each node executes local voltage prediction and constraint condition management; s2, adopting a distributed model prediction control framework, and cooperatively solving a voltage regulation optimization target through an edge calculation unit; s3, a harmonic disturbance signal with a preset amplitude is injected into the transformer, equivalent impedance is dynamically identified based on response data, and virtual impedance compensation is triggered; and S4, establishing a hierarchical cooperative control architecture, and realizing clock synchronization, dynamic weight distribution and multi-objective optimization decision among nodes. Through a cooperative mechanism of distributed predictive control and dynamic impedance compensation, the response speed and the regulation precision of the on-load voltage regulation system to the power grid voltage fluctuation are remarkably improved, and the voltage out-of-limit problem under the complex working conditions of new energy grid connection, load sudden change and the like is effectively solved.

The invention discloses a frequency division control radio frequency power supply solid-state impedance matcher and a method thereof, and aims to solve the problems that a traditional mechanical impedance matcher is slow in response, low in adjustment precision and difficult to adapt to a dynamic load. According to the system, an all-solid-state impedance matcher is adopted, impedance dynamic adjustment is achieved through a matching network composed of an adjustable inductance module and a switched capacitor module, closed-loop control is constructed in combination with a radio frequency signal detection module and a digital signal processor, and a frequency division control strategy is adopted, and the high-frequency band realizes high-precision matching through a control strategy of coarse adjustment of the adjustable inductance module and fine adjustment of the switched capacitor module. The device has the advantages of high response speed, wide frequency band coverage and the like, and is particularly suitable for industrial plasma application scenes with remarkable dynamic impedance characteristics.

The invention relates to the technical field of power electronic control, and discloses a voltage and current stabilization and surge suppression cooperative control method for power equipment, and the method comprises the following steps: dynamically segmenting an output current frequency band, and remodeling the output impedance characteristics of a system; predicting and controlling a hierarchical optimization control target based on a multi-time scale model; dynamically switching an energy feedback path; identifying aging parameters of the device on line and adaptively adjusting a control strategy; global stability verification and fault-tolerant protection: verifying the stability of the control system based on the Lyapunov stability theory, and triggering a protection mechanism when the magnetic flux is saturated or the aging of the device exceeds the limit. By means of dynamic impedance frequency domain segmentation, the impedance characteristic of the system is divided into a low-frequency voltage stabilization area and a high-frequency surge suppression area according to frequency bands, the contradiction that in a traditional method, it is difficult to consider steady-state precision and transient surge suppression at the same time due to the single impedance characteristic is solved, and collaborative optimization of voltage stabilization control and surge energy blocking is achieved.

The invention relates to the technical field of intelligent power distribution and electrical equipment state monitoring, in particular to an intelligent power distribution cabinet data acquisition control system and method, and the method comprises the steps: presetting a temperature sensor and a Hall sensor at the lap joint of a circuit breaker contact and a copper bar of an intelligent power distribution cabinet; calibrating inherent parameters of the system; in response to starting operation of the intelligent power distribution cabinet, the following steps are triggered: obtaining real-time load current, real-time environment temperature and actual temperature through filtering processing; generating a theoretical healthy temperature through a thermoelectric coupling evolution equation; calculating aging resistance increment through dynamic impedance differential evolution processing; generating an aging resistance estimated value through contact state multi-dimensional evaluation; generating a dynamic current limit value through an intelligent current limiting control model; outputting a control signal to adjust the operation state of the intelligent power distribution cabinet; according to the invention, the problem that a traditional single threshold scheme cannot accurately identify a real health state is solved, and the sensitivity and accuracy of contact aging detection are remarkably improved.

The invention relates to the technical field of intelligent power distribution network automatic protection, and discloses a power distribution network fault strategy generation method, system and device based on a self-healing loop graph, and a medium, and the method comprises the steps: constructing a power distribution network topological graph, and recognizing a self-healing loop; generating a cooperative protection constant value based on the incidence relation of the dynamic correction path impedance and the protection device; a delay parameter is adjusted through conflict detection of the dynamic impedance track and the high-frequency phase sequence; simulating a fault action to generate an SOE event chain; identifying an abnormal time delay combination in combination with historical time delay distribution and marking conflicting nodes; adjusting parameters for the second time to generate a self-healing strategy matched with the topology; through multi-dimensional time sequence conflict detection and closed-loop feedback optimization, precise control of cooperative action of the protection device is realized, fault isolation delay and maloperation of a non-fault area are effectively avoided, and self-healing reliability and power supply recovery efficiency in a complex power distribution network scene are improved.

The invention discloses a bio-electricity signal acquisition electrode and an efficient electroencephalogram signal acquisition method, and relates to the technical field of signal processing. The method comprises the following steps: step 1, carrying out electrode-tissue interface dynamic impedance modeling based on ion diffusion and a capacitance effect; calculating density distribution of the conductive coupling agent based on the impedance function; 2, calculating a signal quality index; performing signal enhancement according to the signal quality index to obtain an enhanced signal; 3, performing feature extraction on the enhanced signal to obtain a feature signal; performing dynamic noise suppression according to the characteristic signal to obtain a noise suppression result; and 4, performing signal reconstruction according to a noise suppression result to obtain a reconstructed signal, and completing electroencephalogram signal acquisition. According to the electrode design, the contact quality is improved, the distribution of the conductive coupling agent is more uniform, and long-time stable monitoring is ensured. Meanwhile, the definition and fidelity of the signal are effectively improved through adaptive noise suppression and a signal reconstruction mechanism.

The invention relates to the technical field of material detection, in particular to a silver coating adhesive force detection method based on multi-frequency impedance imaging, which comprises the following steps: applying a dual-mode multi-frequency excitation signal to the surface of a silver coating through an attached microelectrode array, synchronously acquiring voltage-current response data, and generating a dual-mode multi-frequency impedance original data set; performing time-varying impedance phase-locked separation on the dual-mode multi-frequency impedance original data set, extracting a dynamic impedance component of a coating-matrix interface region, and reconstructing a three-dimensional sub-interface impedance distribution diagram; and outputting an adhesive force quantized value through an oscillation frequency-adhesive force conversion model according to the spatial oscillation frequency characteristics of the impedance phase in the three-dimensional sub-interface impedance distribution diagram. According to the invention, a double-phase-locked loop system is adopted to realize the time-varying component demodulation of the impedance response of the silver coating-matrix interface, the low-frequency dynamic impedance signal modulated by silver ion migration is effectively extracted, and the weak change of the interface bonding state is sensitively reflected.

The invention discloses a networking type energy storage semi-physical simulation test platform and method, and particularly relates to the field of simulation testing, and the platform comprises a digital twin collaborative modeling module, an impedance adaptive hardware coupling module, a networking control depth verification module, a multi-dimensional performance evaluation module, and an iterative optimization module. According to the method, a dynamic impedance network model and a virtual energy storage unit are integrated by constructing a power grid-energy storage digital twin; the dynamic impedance network is generated by adopting a frequency-dependent parameter transmission line equation and combining actual measurement impedance scanning data in a fitting manner; in the loop test, a full-band disturbance injection method is adopted to monitor impedance characteristics, and virtual inertia and physical droop control parameters are coordinated under a preset weak power grid working condition; the multi-dimensional performance evaluation system quantifies the system performance from three dimensions of dynamic response, stability margin and transient energy function, and when the phase margin deviation is greater than 15 degrees, triggers an iterative optimization mechanism, reconstructs a virtual inertia coefficient and repeatedly verifies the virtual inertia coefficient until a stability threshold is met.

The invention discloses a self-adaptive tactile feedback robot force-position hybrid control system and method, and relates to the technical field of industrial robot precision control. Comprising a bionic tactile sensing module, the output end of the bionic tactile sensing module is connected with a pulse coding module, the output end of the pulse coding module is connected with a force-position cooperative controller, and the output end of the force-position cooperative controller is connected with a dynamic impedance regulator. Dynamic decoupling control over the contact force and the position error is achieved through a double-closed-loop framework, accurate control over the force and the position is taken into consideration for the robot in the complex and changeable assembling environment, and the problem that force control and position control interfere with each other in a traditional control method is solved.

The invention relates to the technical field of micro-grids, and provides a network construction type energy storage system reconstruction method and system based on dynamic impedance matching, and the method comprises the steps: obtaining the real-time impedance and real-time reactance of an associated power grid through a high-frequency disturbance signal injection decoupling mode; meanwhile, according to the voltage phase angle and the voltage drop depth of the associated power grid, respectively obtaining a phase compensation item and a dynamic adjustment coefficient, so as to dynamically adjust the virtual impedance through the phase compensation item and the dynamic adjustment coefficient; and real-time output of the target energy storage system is regulated and controlled by combining closed-loop control of the impedance outer loop and the voltage inner loop, so that voltage offset and broadband oscillation of the associated power grid are suppressed. According to the invention, the phase compensation item obtained according to the voltage phase angle and the dynamic adjustment coefficient obtained according to the voltage drop depth are added to the calculation of the virtual impedance, and the closed-loop control of the impedance outer loop and the voltage inner loop is combined, so that transient impact suppression and oscillation suppression can be realized at the same time, the limitation of separate triggering is effectively avoided, and the reliability of the system is improved. And the power grid voltage stabilization control effect is improved.

The invention relates to the technical field of connector regulation and control, and discloses an efficient energy storage connector dynamic regulation and control system based on a nonlinear coupling mechanism. The system comprises an establishment module used for establishing an energy storage connector system model based on a voltage signal and a current signal of an energy storage connector; the disturbance identification module is used for performing nonlinear coupling disturbance identification on the energy transmission process according to the energy storage connector system model to obtain an additional coupling loss component, a dynamic impedance drift component and a phase coupling offset component; the dynamic observation module is used for performing weighted analysis through a nonlinear coupling dynamic observer to obtain a coupling mechanism observation result; and the generation module is used for generating an energy transmission path regulation and control instruction containing the conduction angle compensation amount and the phase synchronization compensation amount based on the coupling mechanism observation result. According to the invention, stable operation can be realized under complex working conditions such as load abrupt change and coupling impedance fluctuation, and the transmission efficiency is maximized.

The invention discloses a dynamic impedance matching wireless charging power adaptive adjustment system, which comprises a dynamic impedance detection module used for being connected with a wireless charger, monitoring voltage and current of a transmitting end and a receiving end of the wireless charger in real time, and calculating a phase difference to obtain a current impedance value; the control module is used for calculating matching network parameters needing to be adjusted according to the detected current impedance value; the matching network adjusting module is used for adjusting matching network parameters according to an instruction of the control module, so that transmitting end impedance and receiving end impedance are in conjugate matching; the power adjusting module is used for adjusting transmitting power according to the dynamic impedance matching result; a communication module; according to the invention, through cooperation of the dynamic impedance detection module, the control module, the matching network adjustment module, the power adjustment module and the communication module, full-process automation from impedance detection, parameter calculation to dynamic adjustment is realized, and adaptability and efficiency of wireless charging are significantly improved.

The invention discloses a topology simulation analysis method and system for a low-voltage power distribution area, and belongs to the technical field of power systems and energy, and the method comprises the steps: extracting a multi-scale feature matrix through wavelet transform processing by using real-time electrical data and distributed power output data of the low-voltage power distribution area, and obtaining a feature vector after dimension reduction; combining the dimensionality-reduced feature vector with the topological structure of the low-voltage distribution area, and generating a dynamic topological relation graph through graph convolutional network processing; calculating to obtain a dynamic impedance matrix through adaptive Kalman filtering processing; analyzing and processing through the fault tree, and determining a fault propagation path and a key fault node; and through Markov decision process modeling, a state space, an action space and a reward function are obtained, and an optimized topological structure and an optimized control strategy are generated. The method has the beneficial effect that the accuracy, timeliness and practicability of topology simulation analysis of the low-voltage distribution area are remarkably improved.

The invention discloses an intelligent water operation management and control system based on the Internet of Things, and relates to the technical field of industrial Internet of Things crossing, and the system comprises the steps: collecting multi-dimensional operation data in a water supply network, carrying out the preliminary time mark alignment and preprocessing, and generating a multi-source synchronous perception data set; importing the comprehensive risk list into a digital twinborn body, dynamically injecting corresponding fault and abnormal scene parameters in a digital twinborn environment, and performing large-scale parallel deduction through a Monte Carlo simulation algorithm to generate a rehearsal consequence data set; and carrying out multi-objective decision analysis on the rehearsal consequence data set, carrying out prediction comprehensive plan utility scoring based on a preset safety weight and an economic weight, and calculating an optimized management and control plan through iterative optimization. According to the invention, the multi-source heterogeneous data is deeply fused through the graph neural network of the risk identification module, the dynamic impedance characteristics of the pipe network are accurately extracted, the early abnormality is identified, and advanced diagnosis of the multi-modal coupling risk is realized.

The invention provides a dynamic impedance matching charger based on battery aging, a method, electronic equipment and a medium. The charger comprises a master control unit, and a battery state monitoring module, an aging grade evaluation module, a dynamic charging control module, a battery cell balancing module, an optimization control module and an anti-interference module which are connected with the master control unit to cooperatively realize charging closed-loop control. The battery state monitoring module injects a preset frequency alternating current signal and outputs an impedance parameter, a charge state and a temperature parameter; the aging grade evaluation module outputs a battery aging grade in combination with a preset model; the dynamic charging control module is matched with an adaptive charging mode instruction; the battery cell balancing module calculates the battery cell impedance difference, and balancing operation is executed if the battery cell impedance difference reaches the standard; the optimization control module generates an optimized current instruction through a preset algorithm according to the related parameters, and superposes the optimized current instruction to the reference current; the anti-interference module improves the signal-to-noise ratio of collected signals to a preset standard through isolation and shielding design.

The invention discloses a vacuum circuit breaker breaking method for a new energy occasion, particularly relates to the technical field of power equipment breaking control, and is used for solving the problems of local ablation and breaking life attenuation caused by non-uniform distribution of arc energy on the surface of a contact in an existing high-frequency harmonic environment. The dominant frequency component of the high-frequency harmonic is extracted in real time, and arc energy concentration area distribution is generated in combination with contact material characteristics; dynamically evaluating the thermal conductivity attenuation degree based on grain structure degradation, and adaptively matching the opening speed curve and the energy diffusion rate; the anode spot migration path is identified through dynamic impedance gradient monitoring, and the magnetic field distribution of the arc extinguish chamber is synchronously adjusted to realize targeted suppression; and after breaking, a clean electric arc matched with a damage path is triggered for cladding repair, so that the breaking stability of the vacuum circuit breaker under the impact of high-frequency harmonic waves and the ablation resistance of the contact are remarkably improved.

The invention relates to the technical field of battery management, in particular to a modular intelligent battery management system, which comprises a sensing module for realizing full-dimensional monitoring of a battery through a multi-mode sensor array, implanting an MEMS stress sensing network and constructing a holographic stress tensor model; the operation and maintenance and decision-making module is used for realizing cooperative control of the battery units through dynamic impedance matrix construction, plasma resonance frequency monitoring and unbalanced thermodynamic gradient analysis; and the execution module is used for receiving the instruction sent by the stress analysis and optimization unit, controlling the piezoelectric composite material to generate a self-adaptive support structure, adjusting the internal mechanical structure of the battery, forming a stress shielding area and reducing the influence of stress on the performance and the service life of the battery. Through a dynamic impedance matrix and a main control unit election mechanism, the single-point bottleneck of traditional centralized management is avoided, and even if part of units fail, the system can still maintain the function through matrix recombination, so that the anti-interference capability and reliability are improved.

The invention discloses a high-precision voltage regulating system of a power frequency no-partial-discharge test transformer, and the system comprises a heterogeneous multi-stage power module which is formed by connecting an H-bridge unit group and a matrix converter in parallel, the H-bridge unit group outputs a fundamental voltage component, and the matrix converter compensates a high-frequency harmonic component; the multi-physics field digital twinning unit integrates an electromagnetic field solver, a thermodynamic model and a mechanical deformation simulation module and predicts the multi-physics field coupling state of the insulation system in real time; the dynamic impedance matching network comprises an adjustable inductor array and a digital capacitor bank, and automatically adjusts filtering parameters according to a load impedance measurement value; and the control module is used for deploying a deep learning model and is used for optimizing a modulation strategy and a protection threshold on line. According to the method, the voltage regulation precision and the waveform purity can be improved, the stability under the wide-range working condition is guaranteed, the breakdown hidden danger is recognized in advance through multi-physics field coupling simulation, and partial discharge development is restrained from the source.