61 results about "Coulombmeter" patented technology

The invention discloses a method for evaluating the health state of a LiFePO4 battery, and belongs to the field of prediction of the health state of a battery of a peak regulation energy storage system. The implementation method comprises the following steps: acquiring initial electric quantity according to open-circuit voltage of a battery, and calculating SOH by combining full-charge charging capacity; a differential voltage curve is obtained by performing differential processing on a charging curve, an inflection point between a high-voltage platform and a low-voltage platform in the charging curve is accurately positioned by using valley voltage between high-voltage characteristic peaks and low-voltage characteristic peaks, and SOH is calculated by accumulating electric quantity before and after the inflection point. Under the same multiplying power and electric quantity interval, an average charging and discharging voltage value is taken to construct an average charging and discharging curve, an inflection point is positioned through differential processing, and SOH is estimated through accumulation of electric quantity before and after the inflection point. And intelligently distributing weight coefficients of the three groups of SOH estimation results based on a fuzzy theory to obtain a final SOH value of the battery. According to the method, the accuracy and the reliability of LiFePO4 battery health state evaluation can be remarkably improved, and fault diagnosis and service life prediction of a battery system are facilitated.

The invention provides a metering box electricity larceny detection method, system, equipment and medium under carrier communication, and relates to the field of metering box electricity larceny prevention, and the method comprises the following steps: collecting the three-phase current ICCO, voltage UCCO and freezing electric quantity QCCO of a split-phase protection intelligent circuit breaker, and the current Ij, voltage Uj and freezing electric quantity Qj of an electric energy meter in real time; calculating a correlation coefficient and an average distance between the voltage sequence {Uj} of the electric energy meter and the three-phase voltage sequence {UA, UB, UC} of the circuit breaker, and determining a connection phase of each electric energy meter; the deviation value delta I of the sum of the current ICCO of the circuit breaker and the current Ij of the connected electric energy meter under the same phase is calculated, a line loss model is constructed by combining the freezing electric quantity Qj and the QCCO, and the line loss rate p is solved; and performing three-level electricity stealing judgment, positioning an electricity stealing point and generating an electricity stealing probability Ptheft. Through multi-source data fusion, edge-side autonomous efficient electricity stealing closed-loop judgment and split-phase protection and electricity stealing prevention collaborative optimization, the accuracy of electricity stealing identification and the reliability of power supply are remarkably improved.

The invention provides an ammeter metering abnormity identification method and system based on multi-mode power utilization data fusion, and relates to the technical field of electric power metrology, and the method comprises the steps: collecting an actual power consumption set of intelligent power utilization equipment of a target user in a preset time zone, and carrying out the matching to obtain an equipment association degree set; according to the actual power consumption set and the equipment association degree set, predicting to obtain predicted total power consumption; performing analysis based on the intelligent electric equipment type set and the equipment association degree set to obtain prediction confidence; calculating a threshold adjustment coefficient according to the load fluctuation characteristics, the environment fluctuation characteristics and the prediction confidence in the preset time zone, correcting the initial error threshold, and outputting an adaptive error threshold; and calculating the electric quantity deviation amplitude according to the meter display consumed electric quantity of the electric energy meter of the target user in the preset time zone and the predicted total consumed electric quantity, and if the electric quantity deviation amplitude exceeds an adaptive error threshold, executing abnormal early warning. The technical problems of high false alarm rate and poor reliability of electricity meter metering abnormity identification in the prior art are solved.

The invention discloses an electric power metering and electric charge accounting system based on multi-source data and an intelligent algorithm, and relates to the technical field of intelligent power grids, and the system comprises the following steps: S1, constructing a multi-source power credibility weighted fusion model, and outputting multi-source credibility weighted fusion power; s2, performing section-level correction and equivalent electric quantity calculation on electric energy flow in the current settlement time slice; s3, constructing a user side clearing electric quantity model, and dynamically calculating the clearing electric quantity of the user; s4, constructing an electric charge cardinal model, and dynamically pricing the sorted electric quantity; s5, the obtained electricity charge cardinal number is optimized; and S6, establishing an anomaly identification and dynamic verification mechanism. According to the invention, a credible fusion mechanism of multi-source heterogeneous data is constructed, self-calibration modeling of a metering point topological structure is realized, a precise clearing method oriented to user contracts and line loss is introduced, and a full-link intelligent system is formed in combination with a strategy-driven electricity charge accounting model and a cross-cycle consistency anomaly detection mechanism.

The application provides a power meter correction electric quantity calculation method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring metering history data of a target power meter; analyzing the metering history data by using a phase angle feature portrait algorithm, and identifying a wiring error type corresponding to the target power meter; determining a corresponding correction transformation matrix based on the wiring error type; and calculating the correction electric quantity of the target power meter based on the correction transformation matrix. The application provides a novel power meter correction electric quantity calculation scheme. By using an advanced algorithm and a mathematical model, the correction electric quantity of the power meter can be more accurately calculated, the interference of human factors is reduced, various complex wiring error conditions can be adapted to, and therefore the accuracy and reliability of the power system power meter correction electric quantity calculation method are improved.

The invention relates to a calibration method and device, terminal equipment, a storage medium and a program product. The calibration method comprises the steps that the power capacity of a target power supply after the target power supply is fully charged last time is acquired; and when the power supply capacity is out of a reference capacity range, approaching the power supply capacity to a boundary value of the reference capacity range, or adjusting the power supply capacity to be within the reference capacity range to obtain the calibrated power supply capacity. Through the method, the condition of power supply capacity deviation after the power supply capacity is updated through the voltameter is reduced, so that the condition of abnormal power supply endurance and charging time caused by the condition is reduced, the calibration of the power supply capacity after the target power supply is fully charged last time is realized, the accuracy of the power supply capacity is improved, and the power supply capacity calibration efficiency is improved. And the use experience of the user is better.

The invention relates to the technical field of electricity price prediction, in particular to an auxiliary electricity price prediction method and system based on new energy power, and the method comprises the steps: obtaining a plurality of historical data; calculating a historical power supply-demand ratio according to a plurality of historical power generation amounts and a plurality of historical power consumption amounts, drawing and analyzing a supply-demand ratio change curve, and marking an abnormal part according to an analysis result; acquiring historical weather data, and determining influence parameters; establishing an initial electricity price prediction model; obtaining a plurality of actual power generation amounts and a plurality of actual power consumption amounts to calculate an initial power supply-demand ratio; actual weather data are obtained and analyzed, and when the weather data are abnormal, the initial power supply-demand ratio is calibrated to obtain a calibrated power supply-demand ratio; obtaining an initial predicted electricity price according to the calibrated power supply-demand ratio and an initial electricity price prediction model; and comparing the initial predicted electricity price with the actual electricity price to determine an actual error value, and determining to update the electricity price prediction model according to a comparison result of the actual error value and a preset error range. The accuracy of the electricity price prediction model is improved.

1. The name of the design product: multi-user electric energy meter with separate household electricity indication. 2. The use of the design product: for electricity measurement. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: front view.

The invention discloses an electric carbon emission metering method and device for energy storage equipment, and the method comprises the steps: calculating the attached carbon emission of the energy storage equipment after the (n + 1) th electric energy input based on the electric carbon emission factor, the input electric quantity and the output electric quantity of the energy storage equipment after the nth electric energy input and the (n + 1) th electric energy input; calculating an electric carbon emission factor of the energy storage equipment after the (n + 1) th time of input of the electric energy based on the attached carbon emission of the energy storage equipment after the (n + 1) th time of input of the electric energy; and calculating the attached carbon emission after the (m + 1) th output when the energy storage equipment is in the output state based on the attached carbon emission after the (n + 1) th electric energy input of the energy storage equipment and the electric carbon emission factor. According to the method, the real-time operation data of energy storage and the space-time dynamic carbon emission factors of the power grid are coupled, the carbon emission factors of the charging and discharging behaviors of the power grid are accurately quantified, the defects that an existing method is extensive in metering and cannot reflect space-time characteristics can be overcome, and technical support can be provided for objectively evaluating carbon metering of energy storage equipment.

The invention provides an on-line electrochemical measurement method for the performance of an alloy plating solution. The method comprises the following steps: depositing the alloy plating solution in a constant-current deposition stage to obtain an alloy plating layer; in the dissolution stage, the dissolution peak of each metal element is sequentially obtained by adopting a scanning voltammetry method, and the dissolution electric quantity Q of each metal element is calculated; the atom proportion X (at%) is calculated according to the dissolution electric quantity of each metal element in atom proportion calculation, and X (at%) is equal to [zx-1. QX / sigma zy-1. QY] * 100%; qX represents the dissolution electric quantity of the to-be-detected metal element X, and zx represents the valence state of the to-be-detected metal element X in the alloy plating solution; qY represents the dissolution electric quantity of any metal element Y in the alloy plating layer, and zy represents the valence state of the metal element Y in the alloy plating solution; wherein Y comprises X and zx, and zy is a positive integer greater than or equal to 1 and less than or equal to 6; and in the performance comparison, comparing the calculated atom proportion of the metal element with a target value, and judging whether the performance of the alloy plating solution meets the requirement or not.

The invention provides an economical efficiency judgment and optimization method for a user-side power energy storage operation mode. The method comprises the following steps: acquiring basic parameters of an energy storage system and preset parameters of a proposed operation mode; determining the cycle life of the battery in the proposed operation mode; determining a battery calendar life of the proposed operation mode; calculating the daily charge and discharge per kilowatt hour earnings of the energy storage system; determining the service life of the energy storage system in the proposed operation mode; calculating monthly dischargeable electric quantity of the energy storage system; calculating the present value of the accumulated discharge capacity in the service life of the energy storage system; determining a full-life-cycle operation and maintenance cost present value of the system; calculating the leveling charge and discharge cost LCOS of the system; calculating an energy storage system leveling charging and discharging price difference net value LNPD; and judging whether the LNPD is greater than the LCOS or not, and if so, judging that the proposed operation mode meets the economical feasibility requirement. According to the method, accurate economical efficiency judgment can be carried out on the energy storage operation mode, and the optimal operation mode is obtained.

The application discloses a kind of fault loss electric quantity determination method, device, system and storage medium, the method includes: obtaining the equivalent utilization hours of each inverter of historical daily in power station and historical daily weather data;According to the historical daily weather data and the equivalent utilization hours, the inverter is clustered, and the inverter grouping set is determined;Current fault information of the power station is obtained, and the fault loss electric quantity of the power station is determined based on the current fault information and the inverter grouping set.The application is clustered according to historical daily weather data and the equivalent utilization hours of each inverter of historical daily in power station, and the inverter grouping set is determined, and the fault loss electric quantity of any equipment failure in power station can be calculated by selecting corresponding equivalent utilization hours in inverter grouping set, to determine the fault loss electric quantity of power station, without specifying template machine, to reduce the fault loss electric quantity calculation error.

The invention discloses an electric quantity returning and supplementing calculation method for a three-phase user and a medium, and relates to the technical field of electric quantity restoration. The method comprises the following steps: calculating a three-phase unbalance degree of a user based on acquired electric energy consumption data; judging whether an electric quantity returning and supplementing condition is met or not according to the three-phase unbalance degree, if not, not performing electric quantity returning and supplementing, and if yes, calculating a balance correction coefficient according to the obtained user type and the three-phase unbalance degree; based on the balance correction coefficient, the metering data and the wiring type of the electric energy meter, calculating the total electricity consumption of the abnormal phase of the electric energy meter during the fault; and according to the total power consumption and the metering data of the abnormal phases of the electric energy meter during the fault period, calculating to obtain the returned and supplemented power of the three-phase user. According to the method, the three-phase unbalance degree is introduced to serve as the applicability criterion, the differentiation processing strategy is designed in combination with different user types and wiring modes, and the adaptability and accuracy of the calculation method are remarkably improved.

The invention discloses a user electric energy meter missort identification method and device based on electric power big data and a medium, and belongs to the technical field of electric power information. The method comprises the following steps: determining a user set of electric energy meters in the same meter box based on power user information in a power master station database; obtaining active power of each user in the user set at a plurality of different time points every day in n days before and after meter replacement, and daily power consumption of each user in n days before and after meter replacement; calculating an active power correlation coefficient between each user and each user according to the active power of each user before meter changing and the active power of each user after meter changing; calculating an electricity consumption fluctuation coefficient of each user before and after meter replacement according to the daily electricity consumption; and identifying the electric energy meter missort pair of the user set according to the active power correlation coefficient and the electric quantity fluctuation coefficient. According to the method, the electric energy meter missort pair can be accurately identified by analyzing the electric power big data, the operation and maintenance cost is reduced, and the identification efficiency of the electric energy meter missort is improved.

The embodiment of the invention provides an electric quantity calibration method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining the electric quantity percentage when target equipment is discharged to a battery end voltage threshold value, taking the electric quantity percentage as the calibration initial electric quantity, and obtaining the battery end voltage at a first moment; acquiring a preset cut-off voltage corresponding to zero electric quantity of the target equipment; according to the calibration initial electric quantity, the calibration initial voltage, the zero electric quantity and the cut-off voltage, coefficients of a preset electric quantity and voltage linear formula are solved, and a target coefficient is obtained; calculating the battery capacity at the second moment; acquiring the electric quantity of the target equipment at the current moment; calculating the ratio of a first difference value between the battery end voltage and the cut-off voltage at the first moment to a second difference value between the battery end voltage and the cut-off voltage at the current moment; through the ratio obtained through calculation, weighted summation is carried out on the battery electric quantity at the second moment and the electric quantity at the current moment, the calibrated electric quantity is obtained, and the accuracy of electric quantity detection can be improved.

The invention provides an electric quantity balance correction method of a chip without a voltameter and an electronic device, and the method comprises the following steps: triggering to enter a preset state, and taking the current voltage conversion electric quantity as a set value of integral electric quantity; the measurement current and the voltage conversion electric quantity are updated at intervals of a preset time period, the correction current is updated according to the updated measurement current and the updated voltage conversion electric quantity, the integral electric quantity is updated according to the updated correction current, and the charge state is updated according to the updated integral electric quantity. Calibration of voltage conversion electric quantity and calibration covering different key nodes are achieved according to triggering entering the preset state, the accuracy of final charge state calculation is improved, the difference between the voltage conversion electric quantity and the integral electric quantity is evenly allocated to the remaining life cycle based on conversion of the correction current, and jumping of the determined charge state is avoided. According to the method, more accurate charge state calculation is realized on the premise of limited resources.

The utility model discloses an electrical control system of a diesel power emergency operation device of a hydraulic hoist, which comprises a storage battery, a starting switch, an electrical starting motor and an electromagnetic switch, one end of the storage battery is connected with the electromagnetic switch, and the other end of the electromagnetic switch is connected with the electrical starting motor. A coulombmeter sampler is connected between the positive electrode and the negative electrode of the storage battery, the other end of the coulombmeter sampler is connected with a coulombmeter instrument, one end of the coulombmeter sampler is further connected with a regulator and a flywheel generator, one end of the regulator is connected to the positive electrode of the storage battery, and the other end of the regulator is connected with the flywheel generator. According to the utility model, the problem that the system lacks the capability of intuitively monitoring the state of the battery is solved, the battery is monitored in real time by introducing the coulombmeter, and meanwhile, the flywheel generator can charge the battery when the diesel engine runs, so that the stability and the reliability of equipment are enhanced.

This system provides a proposal system that can suggest changes to the operating schedule of equipment to improve economic efficiency. [Solution] The proposed system 10 includes an acquisition unit 23a that acquires the operating schedule of the equipment 35 installed in the house 70 and the electricity purchase price for each time period in the house 70; an estimation unit 23b that estimates the power consumption of the equipment 35; a calculation unit 23c that calculates a first electricity charge when the equipment 35 is operated in a first time period determined by the acquired operating schedule, and a second electricity charge when the equipment 35 is operated in a second time period where the electricity purchase price is lower than in the first time period, based on the acquired electricity purchase price and the estimated power consumption; and a proposal unit 23d that proposes operating the equipment 35 in the second time period by presenting the amount of savings determined by the calculated first and second electricity charges.

1. Name of the product in this design: Power meter. 2. Purpose of this design: This design is used for measuring electricity consumption. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The application discloses a kind of charging electric quantity measurement method, device, equipment and storage medium, charging electric quantity measurement method includes: obtaining the current internal resistance of battery, obtains target battery internal resistance, loss electric quantity acquisition processing is carried out according to target battery internal resistance based on Joule law model, the internal resistance loss electric quantity of battery is obtained, according to internal resistance loss electric quantity and preset rated capacity carries out coefficient calculation processing, obtains energy loss coefficient, energy loss coefficient and input current are input to the electric quantity calculation processing of pre-constructed charging electric quantity model, obtains target charging electric quantity.The application can reduce the error of voltage variation curve under the condition of different charge-discharge rate, and then improve the accuracy of estimated charging electric quantity.

The invention relates to the technical field of data processing, in particular to a charging pile charging data compensation method and device, a platform and a storage medium, and the method comprises the steps: obtaining the reported charging data of a target charging pile, judging whether the reported charging data is received in a first preset time period, and if not, obtaining the time point of the reported charging data, the method comprises the following steps: reporting charging data of a charging pile, determining a missing time point of the charging pile and corresponding missing charging data, determining a first power value of the reported charging data, carrying out power compensation calculation on the missing charging data by using the reported charging data to obtain a second power value of the missing charging data, and finally, combining the first power value and the second power value to obtain a power compensation result of the charging pile. And calculating the first total charging amount of the target charging pile. The problem of data missing of the charging pile is solved, the accuracy and integrity of the charging data are ensured through power compensation, and a reliable basis is provided for charging pile management and electric quantity billing.

The invention discloses a thermal power generating unit spot declaration strategy evaluation method and system based on node price prediction. The method comprises the steps of obtaining a thermal power generating unit spot market declaration strategy; acquiring a price prediction result of the node of the thermal power generating unit; acquiring the ramp rate and the medium-and-long-term signed electric quantity of the thermal power Calculating bid-winning electric power and bid-winning electric quantity according to the spot market declaration strategy, the node price prediction result and the ramp rate; according to the node price prediction result, the bid winning electric quantity and the medium and long term contract signing electric quantity, the electricity selling amount and the total electricity selling amount of the thermal power generating unit at each time point in the spot market all day are calculated; the spot market all-day electricity selling total amount of the multiple declaration strategies is calculated repeatedly and sorted according to the size, and the declaration strategy corresponding to the largest spot market all-day electricity selling total amount is the optimal strategy. According to the invention, the power generation enterprise is helped to evaluate the declaration strategy before declaration of the spot market, the income is increased, and the transaction risk is reduced.

The invention discloses a self-adaptive control method and system for a container monitoring terminal. The method comprises the following steps: collecting pulse current response characteristics and environment temperature of a super capacitor; calculating a temperature indication factor based on the pulse current response characteristics of the super capacitor, and compensating the environment temperature by using the temperature indication factor to obtain a corrected effective temperature; correcting the effective capacity of the lithium ion battery based on the effective temperature, and collecting the current of the lithium ion battery to execute coulombmeter integration to update the state of charge of the battery; performing joint estimation on the state of charge and the internal resistance of the battery based on the corrected effective capacity by using an extended Kalman filtering algorithm; performing trend analysis on the environment temperature and humidity time sequence, predicting future environment change and calculating a risk level; the robustness and cruising ability of the container monitoring terminal in complex scenes such as cold-chain transportation can be greatly enhanced, the maintenance requirement is reduced, and the overall energy efficiency is improved.

The invention discloses a hydrogen fuel cell anode stoichiometric ratio monitoring method and device. The method comprises the following steps: monitoring gas parameters of different point locations of the hydrogen fuel cell, including monitoring the total flow qA of a new hydrogen supply point location, monitoring the hydrogen concentration cB of a recirculation loop point location, and monitoring the hydrogen concentration cC of an anode inlet point location; calculating the total flow qB of the point locations of the recirculation loop; calculating the hydrogen flow qBH2 of the point location of the recirculation loop according to the total flow qB of the point location of the recirculation loop and the hydrogen concentration cB of the point location of the recirculation loop; calculating the hydrogen flow qAH2 of the new hydrogen supply point according to the total flow qA of the new hydrogen supply point and the hydrogen concentration cA of the new hydrogen supply point; according to the hydrogen flow qAH2 of the new hydrogen supply point and the hydrogen flow qBH2 of the recirculation loop point, the hydrogen flow qCH2 of the anode inlet point is calculated; and calculating the stoichiometric ratio lambda of the anode according to the hydrogen flow qCH2 at the anode inlet point and the electric quantity generated by the hydrogen fuel cell. Through the method, the accurate stoichiometric ratio of the anode can be obtained, and a reliable basis is provided for optimizing battery operation.

The invention discloses a prefecture-level electric power carbon emission accounting method and system based on a boundary exchange account, and relates to the technical field of electric power system carbon accounting, and the method comprises the steps: S1, determining an accounting boundary; s2, data collection; s3, calculating power generation direct carbon emission Emk, and generating power; s4, constructing a boundary exchange account and checking the electric quantity; s5, calculating an average power carbon emission factor (EF) boundary exchange account of the boundary exchange account; s6, calculating a prefecture-level power carbon emission factor EFk; and S7, calculating the prefecture-level electric power carbon emission Emk. The method is based on the electric quantity balance theory and the position-based accounting method, it is clear that prefecture-level electric power carbon emission accounting comprises two parts of production direct emission and inter-city transfer carbon emission, and the concept of boundary exchange accounts is innovatively put forward and used for representing indirect carbon emission exchange generated by electric quantity exchange between cities. And a whole process system of boundary determination, accounting step, factor calculation, carbon emission accounting, data quality control and tool method is constructed.

The invention discloses a battery pack electric quantity calibration method and device, a medium, a program product and an electronic device, and belongs to the technical field of energy storage systems. According to the method, when the voltage of a battery pack is greater than a first preset threshold value and less than a full-charge voltage or less than or equal to a second preset threshold value, the actual electric quantity is calculated by adopting a coulomb counting method; when the voltage of the battery pack is larger than a second preset threshold value and smaller than or equal to the first preset threshold value, the actual electric quantity is calculated through a voltage look-up table method; the display electric quantity is adjusted based on the actual electric quantity, and when the electric quantity calculation mode is switched, if the first actual electric quantity is larger than the second actual electric quantity, the display electric quantity is reduced to the second actual electric quantity from the first actual electric quantity at a fixed rate; if the first actual electric quantity is smaller than the second actual electric quantity, the first actual electric quantity is kept being displayed, when the first actual electric quantity is larger than or equal to the third actual electric quantity, the actual electric quantity obtained in the next electric quantity calculation mode serves as the display electric quantity, and therefore the more accurate electric quantity is displayed to a user.

The invention discloses a resident time-of-use electricity price making method considering photovoltaic consumption and power generation benefits, and the method comprises the steps: representing a resident electricity consumption curve after the execution of the time-of-use electricity price through a power demand price elastic matrix and a time-of-use electricity price model, and forming a quantitative model for calculating the change of the time-of-use electricity price to a resident load; calculating the consumption rate of the distributed power supply based on the power consumption load and the energy storage charging amount of the resident in each time period under the time-of-use electricity price model; calculating the resident benefit based on the energy storage peak-valley arbitrage income and the distributed power consumption and internet surfing income under the time-of-use electricity price model; a multi-objective function based on a time-of-use electricity price model is constructed by taking the highest distributed photovoltaic local consumption rate and the highest resident benefit as objectives and taking the time-of-use electricity price as a variable, and the dynamic optimal time-of-use electricity price of the transformer area is solved through an MOEA / D algorithm. And aiming at the photovoltaic operation condition of residents in the transformer area, time-sharing and partition electricity prices are formulated for different transformer areas, and the residents are guided to configure energy storage, so that the new energy consumption rate of the transformer area is improved, and the residents can obtain maximum power generation benefits.

This application provides a smoothing filtering method, apparatus, electronic device, and storage medium for a fuel gauge, relating to the field of battery power technology. The smoothing filtering method includes: determining whether the battery is in a charging or discharging state; determining whether the actual battery charge at a later time is greater than the actual charge at a previous time; and determining whether the change in the actual battery charge at a later time is greater than a first preset threshold; if the change in the actual battery charge at a later time is greater than the first preset threshold, determining an adjustment step size based on the change in the actual battery charge, and adjusting the displayed charge of the fuel gauge according to the adjustment step size; if the change in the actual battery charge at a later time is less than or equal to the first preset threshold, adjusting the displayed charge of the fuel gauge proportionally. The method provided in this application satisfies the theoretical relationship F_SOC = F_RC / F_FCC while simultaneously achieving a smooth data transition perceived by the user.

The invention discloses an on-orbit electric quantity prediction calculation method for a low-orbit high-power satellite, and the method comprises the steps: initial electric quantity calculation: calculating the electric quantity of a power supply before the execution of a first task according to historical data; battery charging calculation: according to satellite orbit data, calculating an illumination angle of a satellite and further calculating a charging amount prediction value; the total power consumption calculation comprises task power consumption calculation and other power consumption calculation, the task power consumption calculation performs prediction calculation by combining the working mode and the working duration of the satellite, the other power consumption calculation performs statistical calculation by utilizing historical data, and a discharge capacity prediction value is further obtained; and verification of a calculation result: after the task is executed, calculating actual power consumption and an actual electric quantity value at each moment according to telemetry data in a task execution stage, so as to carry out precision analysis on an electric quantity prediction calculation result. According to the method, accurate prediction calculation of the in-orbit electric quantity of the low-orbit high-power satellite is realized, and accurate and reliable reference is provided for future task planning.

Embodiments of the present application provide a power calibration method and device, electronic equipment and storage medium, the method comprises: obtaining the power percentage when the target device discharges to the battery end voltage threshold, taking the power percentage as the calibration starting power, and obtaining the first time battery end voltage; obtaining the preset cutoff voltage corresponding to 0 power of the target device; according to the calibration starting power and the starting voltage, 0 power and the cutoff voltage, the coefficient of the linear formula of the preset power and voltage is solved, and the target coefficient is obtained; the second time battery power is calculated; the current power of the target device is obtained; the first difference between the first time battery end voltage and the cutoff voltage is calculated, and the ratio of the second difference between the current battery end voltage and the cutoff voltage is calculated; by calculating the ratio, the second time battery power and the current power are weighted and summed to obtain the calibrated power, which can improve the accuracy of power detection.