1790 results about "Current electric" patented technology

The invention discloses a dynamic power distribution method for charging equipment of an electric vehicle charging station. The method comprises the following steps: acquiring real-time state data of an electric vehicle through a vehicle sensor and a charging equipment communication interface; obtaining the charging priority of the current electric vehicle based on the real-time state data; based on the charging priority and the real-time state data, the power distribution proportion of each vehicle is calculated by adopting a weighted distribution algorithm, and an initial power distribution scheme is obtained; obtaining an available power interval of a charging station based on peak-valley state data of a current time period monitored by a power grid monitoring system; and based on the initial power distribution scheme and the available power interval of the charging station, an adjusted power distribution scheme is obtained, and dynamic power distribution of the charging equipment of the electric vehicle charging station is completed. According to the invention, efficient utilization of charging station resources and intelligent scheduling of vehicle charging demands can be realized, and charging efficiency and user satisfaction are improved.

The invention discloses a defect small target detection method and system for a high-resolution image of an electric power scene, and relates to the technical field of electric power vision, when a small defect detection model is trained, a progressive training mode is adopted, the detection effect of a small target in a common electric power scene is better, sampling is carried out through a scoring network, and the detection efficiency is improved. The precision of the model is ensured, and meanwhile, complicated and redundant calculation is avoided, so that the timeliness and accuracy of the whole model are ensured, and end-to-end detection of a power scene target can be realized; in the scheme of the invention, the target resolution is adopted to cut the current electric power equipment image to obtain multiple frames of current electric power image slices under the target resolution, and the current electric power image slices are detected based on the small defect detection model formed after training. And after the defect detection result is obtained, the frame coordinate of the defect detection result is mapped to the current power equipment image, so that the detection precision of the small target in the power image is high, and the intelligent inspection task requirement of a power grid can be met.

The invention relates to the technical field of charging power management of charging piles, and particularly discloses a charging power distribution method and device for a multi-gun charging pile, and the method comprises the steps: calculating the theoretical power of each charging gun through collecting the battery information, including the current electric quantity, the battery capacity, the rated charging power and the charging demand, of each vehicle in real time; the safety and the stability are comprehensively evaluated according to the dynamic change of the battery temperature and the load rate of the charging gun; according to the method, the charging power can be dynamically adjusted, the safety and the high efficiency of the charging process are ensured, and the problems of battery damage and unstable charging caused by improper power distribution are avoided; the invention further provides a real-time monitoring interface and an alarm mechanism, abnormal conditions can be found and processed in time, and it is ensured that the charging process is carried out smoothly.

The invention relates to the technical field of electric leakage monitoring, in particular to a direct-current electric leakage monitoring device which comprises a mounting frame and a supporting mechanism, threaded rods are rotationally connected to the two ends of the mounting frame, electric leakage detectors are mounted on the opposite cambered surfaces of a first clamping plate and a second clamping plate, and a control mechanism is arranged on the side, close to a connecting frame, of a movable seat. Fixed teeth are fixedly installed on the two sides of the movable block, the auxiliary mechanism comprises movable teeth slidably connected with the movable assembly, and an adjusting mechanism is arranged between the control mechanism and the clamping assembly. Through mutual cooperation of the control mechanism, the auxiliary mechanism and the adjusting mechanism, the cambered surface end of the clamping assembly is made to be close to or far away from each other, a to-be-monitored cable is clamped, the electric leakage monitor makes contact with the cable, meanwhile, the position of the cable can be limited, and the situation that the accuracy of a monitoring result is affected due to the fact that the cable shakes due to external force factors is avoided; the supporting mechanism can be controlled to move under the action of the threaded rod, the position is adjusted to replace the to-be-monitored object, and the flexibility of the device is improved.

The invention discloses an accurate zero crossing point control method for a built-in relay of a large-current electric energy meter, which relates to the technical field of power electronics and intelligent metering and comprises the following steps of: receiving a power grid voltage digital signal, determining a voltage zero crossing point by comparing symbol changes of adjacent sampling values, establishing a phase corresponding relation between voltage and current, and calculating a current phase corresponding relation; generating current zero crossing point prediction data; when a relay switching instruction is received, the specific moment of the next current zero crossing point is calculated, and the control signal sending moment is determined; a relay driving control signal is sent, the actual action completion moment of the relay is collected, the deviation from the expected zero crossing moment is calculated, and the mechanical action delay time parameter of the relay is corrected. By predicting the current zero-crossing time and considering the mechanical action delay characteristic of the relay, accurate switching of the built-in relay at the actual current zero-crossing point is achieved, meanwhile, the self-adaptive adjusting capacity is achieved, the arc energy during large-current switching is reduced, the service life of the relay is prolonged, and the reliability of the electric energy meter is improved.

A perturbation and observation method combining particle swarm optimization and an adaptive step length adjustment coefficient changes output power by applying perturbation to voltage in each working period of a photovoltaic cell so as to realize power optimization. By introducing a self-adaptive step length adjustment coefficient, dynamic adjustment of the step length of the perturbation and observation method is realized, and illumination changes and system dynamic responses under different working conditions are coped with. Therefore, the tracking speed and stability are improved. A fixed step length is multiplied by a step length adjustment coefficient, the step length adjustment coefficient is calculated and determined by an absolute value of a derivative of a power increment to a voltage increment and a specific value obtained by dividing a square value of a current current value by a square value plus 1, an upper limit and a lower limit are determined, and the adjustment coefficient is subjected to partition setting. And the optimal voltage value is searched in the solution space in combination with the particle swarm optimization algorithm, power tracking secondary optimization is carried out, the perturbation and observation method has higher maximum power point tracking speed and higher tracking precision, and the stable maximum power point can be converged more quickly.

The invention relates to an intelligent electric meter reading method and system, and the method comprises the steps: enabling a high-definition camera to shoot an intelligent electric meter according to a preset meter reading time interval, obtaining an electric meter image, and uploading the electric meter image to an edge computing device through the Internet of Things; the high-definition camera is installed right in front of a dial plate of the intelligent electric meter. The edge computing device carries out image preprocessing on the electric meter image and transmits the electric meter image after image preprocessing to a server; the server recognizes the received electric meter images by adopting a plurality of image recognition models based on a deep learning algorithm, compares and verifies the electric meter readings obtained by recognition of the plurality of image recognition models, and if the comparison and verification are passed, sends the electric meter readings to the server; if yes, the current ammeter reading of the intelligent ammeter is obtained according to the ammeter reading obtained through identification processing of various image identification models; and the server performs associated storage according to the ammeter number of the intelligent ammeter and the current ammeter reading. According to the invention, the meter reading efficiency can be improved.

The invention relates to a self-moving device and a motion control method and system thereof, in particular to a motion control method and system suitable for a self-moving device of a double-wheel independent driving structure, the self-moving device and a medium, and aims to solve the problem that when the self-moving device of the double-wheel independent driving structure runs in a complex environment, the motion of the self-moving device cannot be controlled. The technical problem that a finer control strategy is needed in the face of core challenges such as violent load change, strong motor protection requirement and high motion stability requirement is solved. According to the motion control method of the self-moving equipment, the current rotating speeds and current currents of motors on the two sides are monitored in real time, the rotating speeds of the motors on the two sides are dynamically adjusted, the maximum output power is limited, constant acceleration smooth processing is adopted, the expected rotating speed in unit time is calculated, and it is ensured that the speed change is stable; and dynamically coordinating the rotating speeds of the motors on the two sides by utilizing a speed ratio adjusting strategy to keep a motion posture.

The invention discloses a crosslinked polyethylene cable insulation aging risk assessment method, and relates to the field of cable insulation aging assessment, and the method comprises the steps: setting an electric field induction array to carry out the high-speed sampling of a dynamic electric field signal, and carrying out the complementation and space correction of the preprocessed electric field signal data; fourier decomposition is carried out on the high-frequency standing wave field signal, spatial and temporal changes of electric field distribution are simulated, a standing wave and direct-current electric field superposition model is established, and spatial and temporal changes of a hot spot area are captured; an electric field intensity dynamic peak hot spot track in the superposition strengthening area is analyzed, the migration speed and the residence time of a dynamic peak hot spot are quantified, and quantitative description is provided for dynamic evolution characteristics of the risk area; analyzing the local aging degree of the risk area, and evaluating the trend of a chain reaction caused by local aging in combination with the dynamic evolution characteristics of the peak hot spot of each risk area; and carrying out risk degree calibration on the cable insulation aging trend based on a chain reaction trend evaluation result.

The invention discloses a direct-current hollow electrode hydrogen plasma furnace mineral powder smelting system and method and application, and belongs to the technical field of hydrogen metallurgy. The system comprises a hollow electrode gas powder injection hydrogen plasma gun system, a direct current bottom electrode ore-smelting electric furnace system, a fine ore and hydrogen supply system and the like. The hollow electrode and the furnace bottom electrode form a direct-current arc, hydrogen carrying mineral powder is sprayed into an arc area to generate high-temperature hydrogen plasma, mineral powder reduction is achieved, and metal and slag are separated. According to the method, hydrogen serves as a reducing agent, carbon emission is reduced, the reaction efficiency is high, energy consumption is low, and the method can be used for steelmaking, smelting of micro-carbon ferromanganese and titanium slag and recovery of valuable metal in nonferrous smelting waste slag and has good green metallurgy application prospects.

The invention discloses an intelligent charging and discharging strategy optimization method for a ship battery, and particularly relates to the technical field of battery management. Propulsion power data, auxiliary equipment power data and environment disturbance parameters generated in the ship operation process are collected, a high-frequency time sequence working condition input sequence is built, a load nonlinear evolution model is built through a multi-scale dynamic modeling algorithm, and a disturbance perception prediction sequence is generated; a heterogeneous state characteristic matrix is constructed by combining historical charging and discharging state records of a target battery and current sensing data, voltage sensing data and temperature sensing data, and then the state of charge and the state of health of the battery are evaluated; generating a multi-dimensional strategy candidate set by constructing an energy scheduling constraint map according to the evaluation results of the state of charge and the state of health of the battery; and selecting an optimal strategy path from the multi-dimensional strategy candidate set, outputting a target charging and discharging control instruction, and realizing comprehensive optimization control of dynamic sensing, state driving and strategy self-adaption of the ship battery.

The invention provides a vehicle control method and device, a vehicle and a storage medium, the method is applied to the technical field of hybrid power control, and the method comprises the steps that based on the current electric quantity of a power battery of the vehicle and the whole vehicle demand power of the vehicle, an initial driving mode of the vehicle is firstly determined; calculating the total power consumption corresponding to each of multiple candidate power distribution proportions in the initial driving mode, determining a target power distribution proportion in the multiple candidate power distribution proportions according to the total power consumption corresponding to each of the multiple candidate power distribution proportions, and finally determining the target power distribution proportion in the multiple candidate power distribution proportions based on the target power distribution proportion. And correcting the initial driving mode to obtain a target driving mode, and controlling the vehicle to run in the target driving mode. According to the method, the energy utilization efficiency of the whole vehicle can be maximized, it is ensured that the engine and the motor operate in respective efficient intervals as much as possible, and more stable power output can be provided for the vehicle under different road conditions.

The invention provides a multi-scale self-adaptive cooperative network construction type energy storage frequency modulation control system and method, and the system comprises a constant-voltage energy storage power supply which is used for providing DC electric energy; the three-phase inverter circuit is used for converting the direct-current electric energy into alternating-current electric energy and outputting the alternating-current electric energy to a power grid or absorbing the electric energy; the power calculator is used for calculating active power and reactive power output to the power grid by the three-phase inverter circuit; the battery SOH dynamic evaluation controller is used for outputting an SOH attenuation rate signal; the active loop controller is used for generating multi-scale adaptive frequency modulation data and sending the multi-scale adaptive frequency modulation data to the pulse adjustment controller; the reactive power ring controller is used for generating reactive power regulation data according to the power grid voltage deviation signal and sending the reactive power regulation data to the pulse regulation controller; and the pulse regulation controller is used for outputting a final pulse regulation instruction and a multi-scale cooperative control command to the three-phase inverter circuit. The oscillation risk is reduced, and long-term stable operation of the power system is guaranteed.

The invention provides a battery management method, a management system, a medium and a program product, and relates to the technical field of battery management. The method comprises the steps that the traffic congestion condition of a road where a current vehicle is located is obtained in real time through a vehicle-mounted camera, whether the vehicle is located in a congested road section or not is judged according to vehicle speed information, and when it is determined that the vehicle enters a congested state, the outside air temperature, the battery temperature and operation parameters are obtained in real time; inputting into a battery consumption judgment model which is obtained through machine learning training in advance and is used in different congestion environments, calculating a relatively accurate electric quantity consumption predicted value according to various environmental parameters, and judging the duration of the congestion road section by combining with a third party; and finally, according to the congestion duration, the current electric quantity condition of the battery and the electric quantity consumption value predicted by the model, the power utilization strategy of the battery is intelligently and automatically adjusted, and reasonable power utilization in the congestion environment is realized. According to the method, the actual consumption of the battery can be evaluated more accurately, and a more reasonable and reliable battery power utilization strategy is formulated accordingly.

The invention relates to an electric energy quality comprehensive optimization method based on multi-resource cooperative control, and belongs to the field of electric energy quality comprehensive optimization. According to the method, operation of two kinds of differential regulation and control characteristic equipment of the SVG and the multifunctional grid-connected inverter is coordinated, and comprehensive treatment of three kinds of typical electric energy quality problems of harmonic distortion, voltage deviation and three-phase imbalance is considered. Wherein the SVG device is used as a common reactive compensation device and only participates in compensation of voltage / reactive power problems, and the multifunctional grid-connected inverter needs to meet active power output and also considers regulation and control of harmonic wave and reactive power problems. According to the invention, the problems of insufficient cooperative control and poor comprehensive treatment effect in the current electric energy quality regulation and control method can be solved.

The invention provides a direct-current electric energy meter self-calibration method and system. The method comprises the following steps: acquiring an internal high-precision low-temperature drift voltage reference signal; converting the voltage reference signal into an analog calibration voltage signal on a sampling resistor by controlling a direct current standard voltage generation circuit according to the voltage reference signal; converting the voltage reference signal into an analog calibration current signal in a current loop by controlling a DC voltage-current conversion circuit according to the voltage reference signal; obtaining a current environment temperature, and calculating a calibration gain at the current temperature according to a preset temperature coefficient; according to a theoretical calibration value, calculating a voltage gain, a current gain and a power gain of the sampling voltage value and the sampling current value, and writing the gains into a memory; and correcting the reference voltage signal according to the obtained temperature calibration gain, and performing temperature compensation.

The invention relates to a direct-current illumination control technology, and provides an illumination control method and system during operation of direct-current centralized driving illumination equipment in order to solve the problem that in the existing direct-current illumination technology, each lamp corresponds to a control circuit board, and maintenance is inconvenient due to decentralized control in space. The method comprises the following steps: providing alternating-current electric energy to a distribution box through an alternating-current power supply; a switch module in the distribution box converts alternating current into direct current and supplies energy to the lamp sets, and each lamp set comprises a plurality of lamps which are distributed in the lighting space and connected in parallel. Controlling the illumination parameters of each lamp in the lamp group for illumination; monitoring and acquiring working state information of each lamp in the lamp group, wherein the working state information comprises a brightness parameter, a color temperature parameter and a color parameter; and the illumination parameters and the working state of the lamp are monitored and adjusted in real time. According to the invention, through the integrated direct current illumination control design in the distribution box, the maintenance and management difficulty of direct current illumination is simplified, and the cost is reduced.

The invention relates to the technical field of charging piles, and discloses a matrix split type direct current charging pile and a power distribution method thereof, and the charging pile comprises a power control unit which is configured to control the power output of the charging pile according to the connection information of a charging gun; the charging module unit is connected with the power control unit, the matrix power distribution unit is connected with the charging module unit, the matrix power distribution unit is controlled by a power distribution mainboard, direct-current electric energy output by the charging module unit is switched to a required direct-current bus, and the direct-current electric energy is conducted to a charging gun of a terminal cabinet through a high-voltage cable to charge a vehicle end; the terminal control unit is connected with the matrix power distribution unit; and the man-machine interaction unit is connected with the power control unit. According to the invention, the output of the power of the charging pile can be accurately controlled according to the connection information of the charging gun, efficient distribution of electric energy is realized, the charging process is optimized, the phenomenon of unbalanced power output in a traditional charging pile is avoided, and the charging efficiency is improved.

The invention discloses a measurement error prediction method and system for a current transformer, equipment and a storage medium, and the method comprises the steps: firstly collecting the error data of the current transformer under different test conditions to construct a feature data set, then constructing an error prediction model, training the model through the feature data set, and carrying out the prediction of the error of the current transformer. And finally, based on the current current data, the environment data and the trained model, predicting to obtain a measurement error of the current transformer. The model is trained by taking the environmental data as the features, so that the model can learn the influence of the environmental factors on the measurement error, the model prediction error generated by the influence of the environmental factors is reduced, and the prediction accuracy of the measurement error result is improved. And the hyper-parameters of the model are optimized by adopting a chaos guide adaptive algorithm, so that the optimization speed and the optimization precision of the model parameters are improved, the model network can quickly adapt to the influence of environmental factors on the measurement result of the current transformer, and the prediction accuracy is further improved.

The invention provides a direct current system for uniformly and directly transmitting offshore wind power to a land power grid in multiple regions. The topology of the direct current system mainly comprises an offshore wind power alternating current collecting-direct current sending-out system, a coastal direct current receiving end system, an inland direct current receiving end system and a coastal direct current bus, the offshore wind power alternating current collecting and direct current sending-out system is used for collecting and sending out grid connection of offshore wind power; the coastal direct-current receiving end system is used for transmitting direct-current electric energy to a coastal power grid and controlling system direct-current voltage; the inland direct current receiving end system is used for transmitting direct current electric energy to an inland power grid; the coastal direct-current bus is used for connection and electric energy exchange between the offshore direct-current line and the land direct-current line. According to the invention, the direct transmission of the electric energy of the offshore wind field to the power grids in multiple regions on land is realized, the access and consumption of the offshore wind power in the coastal and inland power grids are ensured, the offshore wind power consumption capability and power transmission capability of the power grids are improved, and the economic benefits and environmental benefits are improved at the same time.

The invention discloses a high-precision charging pile direct-current electric energy metering method based on ripple compensation, and relates to the technical field of charging pile control. Dual-path signal acquisition and processing are executed to obtain a direct-current component metering result and ripple characteristic parameters; averaging the sampling points to obtain a high-frequency direct current component; subtracting the high-frequency direct-current component from the original sampling signal to obtain a pure ripple signal, performing FFT conversion and time domain analysis on the pure ripple signal, and extracting ripple characteristic parameters; according to the charging pile direct-current electric energy high-precision metering method based on ripple compensation, a main metering path and ripple analysis path dual-path architecture is adopted, the main path guarantees the direct-current component metering precision through a low-sampling-rate and high-precision ADC, the ripple path only extracts features rather than reconstructs waveforms, high hardware cost is not needed, and the charging pile direct-current electric energy metering precision is improved. Metering errors caused by ripples can be reduced to meet and be superior to national standard requirements. The transient scene is defined through the ripple mutation coefficient Ktrans and the ripple decay time tau, and the problem that the transient precision of a traditional method is out of control is solved.

The invention discloses an efficiency test system and test method for a photovoltaic grid-connected energy storage type inverter, and belongs to the technical field of inverters, the system comprises a photovoltaic grid-connected energy storage type inverter, a photovoltaic array simulator, a power grid simulator, a monitoring acquisition device and a monitoring upper computer; the monitoring acquisition equipment is used for acquiring a direct-current electric signal input by the photovoltaic grid-connected energy storage type inverter and an alternating-current electric signal output by the photovoltaic grid-connected energy storage type inverter, and sending the acquired data to the monitoring upper computer; the monitoring upper computer is used for controlling the photovoltaic power of different proportions input by the photovoltaic array simulator and the alternating current signal output by the power grid simulator, and according to weighting coefficients corresponding to the input photovoltaic power of different proportions, the received direct current signal input by the photovoltaic grid-connected energy storage type inverter and the received alternating current signal output by the photovoltaic grid-connected energy storage type inverter. And calculating the weighting efficiency of the photovoltaic grid-connected energy storage type inverter. The system provided by the invention can more accurately test the energy conversion efficiency of the photovoltaic grid-connected energy storage type inverter.

The invention provides a state of charge estimation method, electronic equipment, a storage medium and a program product, which are applied to a battery system of a pure electric heavy truck. The method comprises the following steps: acquiring current temperatures, open-circuit voltages and current currents of a plurality of single batteries of a battery pack in a battery system, and a working mode of a battery box; aiming at each single battery, according to the current temperature and the open-circuit voltage, respectively determining a state-of-charge initial value and available capacity from a first mapping table and a second mapping table; according to the current, the state-of-charge initial value and the available capacity, determining a state-of-charge target value of the single battery; determining a first charge state estimated value of the battery pack according to the charge state target values of all the single batteries; and based on the working mode and a preset correction requirement, carrying out correction processing on the first charge state estimation value to obtain a second charge state estimation value of the battery pack. According to the invention, the battery system management efficiency of the pure electric heavy truck is optimized by improving the precision and adaptability of SOC estimation.

The invention provides a method and device for estimating the quality and speed of an electric motor coach and electronic equipment. The method comprises the steps that current operation parameters of the electric motor coach are obtained; based on the current operation parameters, a recursive least square method is combined with a pre-constructed longitudinal deviation dynamical model to conduct vehicle mass estimation, and mass estimation information of the electric motor coach is obtained; the longitudinal acceleration and the wheel rotating speed in the current operation parameters are preprocessed, and the calibrated acceleration and the wheel linear speed are obtained; the preprocessing comprises Hall effect coding processing of the wheel rotating speed and calibration processing of the longitudinal acceleration; and based on the calibration acceleration and the wheel linear speed, vehicle speed estimation is carried out by adopting a nonlinear digital hybrid filtering algorithm in the current state of the electric motor coach, and vehicle speed estimation information of the electric motor coach is obtained. The real-time estimation precision of the vehicle quality and the vehicle speed is improved, so that the response speed and reliability of a vehicle control system are improved, and the driving safety and stability of the electric motor coach under various complex road conditions are enhanced.

The invention discloses an active noise reduction method for an earphone. The method comprises the following steps: acquiring current position information and an environment audio signal of the earphone; detecting whether the current electric quantity of the earphone is greater than a preset electric quantity threshold; if yes, obtaining current posture information of the earphone; determining a target scene type from preset scene types based on the environment audio signal, the position information, the attitude information and a preset improved Transform model configured with an agency attention mechanism; if not, determining a target scene type from preset scene types according to the position information and the environment audio signal; and obtaining a noise reduction parameter corresponding to the target scene type as a target noise reduction parameter. According to the invention, the function of dynamically starting the corresponding noise reduction parameter acquisition mode based on the current electric quantity state of the earphone is realized, the noise reduction power consumption of the earphone is reasonably configured, the noise reduction parameter acquisition mode is optimized, the efficiency and accuracy of adaptive noise reduction are improved, the adaptability of the earphone to the use of a user is improved, and the use experience of the user is improved.

The invention provides an air-ground integrated reconfigurable intelligent surface energy transmission system, and belongs to the technical field of wireless power supply systems, and the system comprises a visual perception module which is used for obtaining image information of a monitoring area, carrying out the recognition and positioning of an energy receiving target based on the image information, and outputting a target coordinate; the control calculation module calculates phase regulation and control parameter coordinates required for driving the reconfigurable intelligent surface based on the received target; the energy transmission module dynamically adjusts the wavefront phase of the electromagnetic wave based on the phase regulation and control parameter coordinates to form an energy focus point at the position of the energy receiving target; the energy receiving module is arranged on an energy receiving target and used for receiving the electromagnetic energy at the energy focus point and converting the electromagnetic energy into direct-current electric energy. According to the invention, the three technical fields of high-precision real-time sensing, intelligent signal processing and advanced electromagnetic beam control are deeply integrated, and remote, high-efficiency and automatic charging for a plurality of freely moving devices is realized.

The invention discloses a vehicle charging control method and system and driving equipment, and relates to the technical field of vehicle charging. The vehicle charging control method comprises the steps that the current voltage and current of the alternating current side of a vehicle-mounted charger are monitored; in response to the fact that the current voltage is smaller than the first preset voltage, target charging current of the vehicle is determined according to the current voltage, the first preset voltage and the current current. According to the vehicle charging control method, the real-time voltage and current of the alternating current side of the vehicle-mounted charger in the slow charging process of the vehicle are monitored in real time, the charging current of the vehicle is adjusted when the voltage of the alternating current side is lower than the preset voltage, the safe charging current is provided for slow charging of the vehicle, and therefore fire disasters and other safety accidents are prevented in advance.

The invention relates to the technical field of electrical parameter measurement, in particular to an SOC prediction method and system applied to a lithium battery. The method comprises the following steps: collecting an electrical variable parameter set of the lithium battery in a current operation period, and determining an electric quantity change value and a change trend of terminal voltage; dividing a voltage response state of the lithium battery in each operation stage to determine an operation state mapping relation; predicting the state of charge of the lithium battery in the current operation period by using the operation state mapping relation; in response to the first change of the operation condition of the lithium battery, collecting a current electrical variable parameter set of the lithium battery to correct the operation state mapping relation; and predicting the state of charge of the lithium battery after the first change of the operation condition according to the corrected operation state mapping relation. The method is beneficial for dynamically adapting to unsteady state behaviors of the lithium battery in different working states, SOC prediction lag and fluctuation caused by working condition changes are effectively reduced, and the dynamic response capability and reliability of prediction are improved.

The invention discloses a sampling current calibration method and device of a power supply, electronic equipment and a storage medium, and relates to the technical field of computers, and the method comprises the steps: collecting a current current value of the power supply; if the current value meets a preset calibration condition, obtaining a plurality of current sampling values under each load point in the power supply, obtaining a current average value based on the plurality of current sampling values, and comparing the current average value with a preset current theoretical value to obtain a linear relation between the current average value and the preset current theoretical value; and determining a current correction coefficient based on the linear relationship, and correcting the current value by using the current correction coefficient to obtain a calibrated current sampling value. The technical problem that the sampling current value of a traditional voltage calibration method has deviation and the accuracy of power supply control is reduced is solved, and the technical effect of improving the accuracy of power supply monitoring is achieved by correcting the sampling current value of the power supply.

The invention provides a bus voltage adjusting method of a compressor, the compressor and electronic equipment. The bus voltage adjusting method of the compressor comprises the steps that the current current of the quadrature axis of a motor corresponding to the compressor and the current rotating speed corresponding to the compressor are collected; determining whether the current meets a first preset condition or not, and determining whether the current rotating speed meets a second preset condition or not; and when one of the first preset condition and the second preset condition is met, increasing the bus voltage of the compressor. According to the bus voltage adjusting method of the compressor, one of the current current of the quadrature axis of the electrode corresponding to the compressor and the current rotating speed of the compressor serves as a reference, so that the bus voltage is increased, the rotating speed of the compressor can be guaranteed, and the overall efficiency and performance are improved.