4677 results about "Power capacity" patented technology

The invention discloses a system and method for estimating the charging capacity of an energy storage lithium battery, and particularly relates to the technical field of energy storage battery management, and the method comprises the following steps: collecting dynamic parameters in the charging process of the energy storage lithium battery, and forming a dynamic data set; calculating an environmental disturbance influence index and a charging response consistency factor based on time sequence analysis and feature decoupling; constructing a two-dimensional working condition mapping matrix, identifying a current working condition area and generating a scene label; determining parameter weights of the plurality of estimation models by adopting a probabilistic reasoning mode; according to the scene state, selecting a single model output result or fusing a plurality of model output results for estimation; according to the method, the environment disturbance influence index and the charging response consistency factor are constructed, so that the complex working condition is accurately identified; scene labels are automatically generated based on two-dimensional working condition mapping and a clustering algorithm, and a plurality of estimation models are dynamically selected or fused in combination with model confidence, so that the accuracy, robustness and intelligent level of estimation are improved.

The invention relates to the technical field of power system automation, in particular to a climbing-frequency modulation coordinated optimization method and system considering energy storage capacity uncertainty, and the method comprises the steps: building an opportunity constraint model of an energy storage system based on the capacity uncertainty, and enabling the opportunity constraint model to be used for describing a reliable feasible region under the deviation of energy storage electric quantity; establishing an energy storage system linearization model considering a climbing-frequency modulation power unified constraint, and realizing power coupling and sharing constraint description of two types of adjustment services; aiming at the nonlinear characteristic of the gradeability of the thermal power generating unit, establishing a piecewise linearization model of the gradeability by adopting a piecewise linearization method; and establishing a thermal power-energy storage combined climbing-frequency modulation coordinated optimization model, and solving the optimization model by adopting a quadratic programming method to obtain the climbing power and frequency modulation reserve capacity of the thermal power generating unit and energy storage. According to the method, the actual available range of the energy storage system capacity can be dynamically reflected, the electric quantity out-of-limit risk caused by the uncertainty of the energy storage capacity is avoided, and the reliability of the scheduling result is improved.

The invention relates to the technical field of fault diagnosis, in particular to a pole-mounted circuit breaker fault diagnosis method based on multi-information fusion, and the method comprises the steps: firstly obtaining electric quantity modal data such as three-phase current and coil current and mechanical quantity modal data such as mechanism vibration and voiceprint, and constructing a time-frequency domain alignment feature tensor; then, through a graph space-time attention fusion model, deeply mining physical structure association and time sequence evolution laws among heterogeneous data, and generating a dynamic space-time feature matrix; then, respectively constructing a mechanical evidence body for representing the state of the transmission chain of the operating mechanism and an electrical evidence body for representing the working condition of the vacuum arc-extinguishing chamber by adopting a feature level-decision level mixed framework; an improved D-S evidence theory is applied for fusion, when high-conflict evidences are detected, a self-adaptive arbitration mechanism is automatically triggered, conflict weights are dynamically attenuated or distributed to uncertain items, misjudgment is effectively avoided, and high-robustness collaborative diagnosis of the electromechanical state is achieved.

Disclosed in the present invention are a load-prediction-based control method and apparatus for an energy storage apparatus, and a terminal device and a storage medium. The method comprises: using a preset load prediction model to perform prediction on the basis of real-time operation data, so as to obtain a predicted load value of a micro-grid within a future time period; then, on the basis of a power generation capacity and the predicted load value, determining whether there is surplus electricity after the current power generation capacity of the micro-grid satisfies a future load demand; if so, controlling an energy storage apparatus to be charged, so as to avoid the waste of electric energy; and if not, controlling the energy storage apparatus to supply power to the micro-grid, so as to ensure that the micro-grid can satisfy the future load demand, thereby effectively ensuring the stable power supply of the micro-grid.

The invention discloses a TCM-mode-based Si-SiC hybrid power multi-phase staggered H-bridge converter structure and a control method thereof, according to the scheme, a three-phase staggered parallel topology of a two-phase low-frequency Si-IGBT bridge arm and a one-phase high-frequency SiC-MOSFET bridge arm is adopted, and a TCM control strategy is combined, so that zero voltage switching (ZVS) of a Si device is successfully realized, the switching loss is remarkably reduced, and the switching efficiency is improved. The system efficiency is greatly improved; and meanwhile, through pilot frequency interleaving and ripple compensation technologies, total output current ripples are greatly reduced, and optimal balance between system performance and manufacturing cost is realized while the power capacity of the converter is remarkably expanded and the dynamic response speed and the output electric energy quality are improved.

The invention belongs to the technical field of power supply transmission, and relates to a POE-POF power supply transmission method and system, and a storage medium. The method comprises the following steps: collecting electric quantity data of POE-POF power supply transmission network nodes in real time, and extracting a dynamic power feature set; identifying an abnormal power loss event based on the feature set and extracting an abnormal mode feature; abnormal path nodes are positioned by combining a POE-POF power supply transmission network topological structure, voltage and current distribution parameters are optimized, and an optimized power distribution scheme is generated; dynamically adjusting voltage and current values of a power supply path, evaluating an energy consumption trend and generating a trend data set; and adaptively adjusting the electric quantity acquisition parameters according to the energy consumption trend, updating the acquisition configuration and circularly executing the steps. According to the invention, intelligent detection, accurate positioning and dynamic optimization of abnormal loss of the power grid are realized, the stability and energy efficiency of the power supply network are improved, and the method is suitable for fine management and energy-saving optimization of the intelligent power grid.

The invention discloses a path planning method for a new energy logistics vehicle in a zero-carbon park, and the method comprises the following steps: generating an initial distribution path and a charging demand node based on the real-time remaining electric quantity, the cargo load capacity and a dynamic energy consumption prediction model of the new energy logistics vehicle; performing charging station priority optimization on the initial path according to the real-time occupancy state of the charging facility in the zero-carbon park and a vehicle remaining electric quantity threshold value, and generating a dynamic adjustable path set; based on historical distribution data, real-time traffic flow and weather condition input, performing congestion probability evaluation and energy consumption correction on the dynamic adjustable path set, and outputting a space-time optimal path scheme; and according to the logistics task allocation weight, the vehicle load capacity constraint and the cargo distribution characteristics, performing multi-target collaborative scheduling on the space-time optimal path scheme, generating a final path planning instruction, and updating a vehicle task queue in real time. According to the invention, new energy vehicle path dynamic optimization is realized, charging efficiency and transport capacity configuration are improved, and environmental adaptability is enhanced.

The invention relates to the technical field of power system operation and control, and particularly discloses a time-sharing electric quantity prediction method based on a logarithmic load density growth curve, which comprises the following steps of: firstly, performing causal detection and dynamic time-delay optimization on historical load and multivariate external data through convergence cross mapping and mutual information technologies, and constructing a causal time-delay feature set; and the problems of multi-element coupling and time-delay effect quantization are solved. Secondly, fitting a load trend by using time-frequency decomposition in cooperation with a segmented logistic model, extracting dynamic parameters representing a growth rate and a saturation capacity, and endowing the model with a sensing ability for a load evolution stage; then, causal features, growth parameters and load components are deeply fused through cross-domain modulation and a gating mechanism, the nonlinear modulation effect of an external environment on a load mode is explicitly modeled, and finally, a probability interval is generated in combination with quantile regression and residual error correction. According to the scheme, accurate and probabilistic prediction of the time-sharing electric quantity in a complex scene is realized, and the scientificity of an agent electricity purchase decision is improved.

The invention provides a vibration control method and electronic equipment, and relates to the technical field of terminals. The motor vibration parameter can be obtained by integrating the use state and the electric quantity information of the electronic equipment, self-adaptive adjustment of the vibration parameter is achieved, and the use experience of a user is improved. The method is applied to the folding screen electronic equipment and comprises the following steps: acquiring a use state of the electronic equipment; acquiring electric quantity information of the electronic equipment; and acquiring vibration parameters according to the use state and the electric quantity information. And driving the motor to vibrate according to the vibration parameters.

The invention provides an unmanned aerial vehicle distribution task scheduling optimization method considering an endurance state, and belongs to the field of intelligent manufacturing. The method comprises the following steps: aiming at the problems of takeoff sequence, task allocation and endurance state change of an unmanned aerial vehicle in a distribution task, constructing a power consumption model based on flight stage division; under constraint conditions of unmanned aerial vehicle electric quantity, loading capacity, safe flight height and the like, converting the scheduling scheme into a three-layer integer sequence including a take-off sequence, a task allocation sequence and an execution sequence for expression and optimization; a task interruption and battery replacement decision-making mechanism and a battery replacement station selection cost function under the condition of insufficient electric quantity are introduced, and a swarm intelligence algorithm is adopted for solving, so that the optimization target of minimizing the total task completion time, the total battery replacement frequency and the flight distance standard deviation is achieved.

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 topology identification method based on intelligent measurement data of a low-voltage transformer area. According to the technical scheme, the topology identification method comprises the steps that 1, a master station issues a timing command to an intelligent measurement terminal and an electric meter; step 2, the master station issues a transformer area electric meter file to the intelligent measurement terminal, configures an acquisition task and issues the acquisition task to the intelligent measurement terminal; step 3, establishing an electric quantity sum linear regression model based on a Lasso algorithm by using daily frozen electric quantity data, and converting the identification problem of the transformer area user-transformer relation into regression coefficient solving; step 4, on the basis of user change relation identification, performing dimension reduction on historical voltage data by using a t-SNE algorithm to improve the identification efficiency of the model; and step 5, clustering the voltage data after dimension reduction by using agglomerated hierarchical clustering, identifying a user phase and a meter box to which the user belongs, and completing identification of a topological structure. According to the method, the power grid topology information of the transformer area can be automatically identified, the efficiency and the accuracy of topology identification are improved, and the method has far-reaching significance for construction of an intelligent power grid.

The invention relates to the technical field of power system demand side management and optimization operation, and discloses an electric heating load master-slave game collaborative optimization method based on AP clustering and adjustable potential modeling, which comprises the following steps: establishing a directly-heated electric heating indoor heat transfer model to analyze a single user to obtain load characteristics of heating users; a decentralized electric heating load refined aggregation model is constructed, and decentralized heating users are divided into different clusters; an adjustable potential quantification model is constructed, and the adjustable electric quantity and the adjustable potential of each cluster are obtained; and a heating load group optimization operation model based on the master-slave game is constructed, power grid purchase and sale electricity price information, distributed power supply cost information, adjustable electric quantity and adjustable potential are input, and a power utilization behavior adjustment strategy is obtained. According to the method, through refined house type clustering, master-slave game framework design and an improved solution algorithm, precise mining and optimized operation of the heating load group regulation potential are realized, the peak regulation pressure of a power grid is effectively reduced, and the comfort of a user is considered.

The invention provides a battery pack active equalization control method, device and equipment and a storage medium, and the method comprises the steps: carrying out the structure recognition of single cells in a battery pack according to the cell configuration information, and generating a cell mapping table; according to the state parameter of each single battery cell in the battery cell mapping table, determining the residual electric quantity value of the corresponding single battery cell; performing pairing calculation on the residual electric quantity values, determining a packet-crossing residual electric quantity difference value between the target battery cell and the mapping battery cell, and generating a corresponding scheduling candidate set according to the packet-crossing residual electric quantity difference value; constructing a cross-packet equalization path set according to the scheduling candidate set, and determining a target cross-packet equalization path meeting all equalization triggering conditions; and performing electric quantity balance control between the main battery pack and the auxiliary battery pack according to the target pack-crossing balance path. According to the scheme, the electric quantity between the main battery pack and the auxiliary battery pack can be balanced through the pack-crossing balancing path under the multi-battery-pack structure, the problem of over-charging or over-discharging of the batteries is avoided, and the service life of the batteries is guaranteed.

The invention relates to the field of multi-energy collaborative scheduling of an electric power system, and particularly discloses a wind-light-fire-hydrogen coupling system electric quantity balance method considering an electric power price factor, which is realized based on an optimization model construction module, a scene generation module, a scene reduction module, a dynamic adjustment module and a solving module. Comprising the steps that S1, a wind-light-fire-hydrogen multi-energy coupling system joint optimization hydrogen storage model is constructed, and a dynamic electricity-hydrogen conversion and virtual bidding arbitrage mechanism is combined; s2, an initial scene set is generated through Latin hypercube sampling according to photovoltaic Beta distribution, wind power Weibull distribution and real-time electricity price logarithmic normal distribution; s3, performing staged mixed reduction to extract a typical scene set; s4, executing two strategies to adjust the bidding scale and the electricity purchasing and selling behavior; and S5, converting a KKT condition by using a nonlinear complementary function, and solving a Nash equilibrium solution to realize market clearing. According to the method, price fluctuation is effectively stabilized, the new energy consumption capability is improved, and an efficient and stable electric quantity balance solution is provided for a high-proportion new energy power system.

The invention relates to the technical field of electric energy metering of a low-voltage power distribution system, and provides an EM algorithm-based district metering device misalignment identification method and system. The method comprises the following steps: establishing a theoretical misalignment value model of each outgoing line in different metering misalignment states, and determining a mapping relation between the different misalignment states and actual electric quantity data; the method comprises the following steps: constructing theoretical deviation values of each outgoing line metering device in different misalignment states on the basis of a transformer area incoming and outgoing line electric energy data and energy conservation relationship, estimating an initial attribution probability of a line state in combination with an index normalization mapping method, and obtaining a posterior attribution probability of each outgoing line line through Gaussian mixture distribution modeling under dynamic prior guidance; and based on the posterior affiliation probability of each outgoing line, constructing an objective function of joint observation value fitting quality, time continuity and misalignment amplitude balance, solving the objective function, and quantifying the electric quantity misalignment proportion of each outgoing line at each moment so as to judge classification and identification of misalignment behaviors.

The invention relates to the technical field of electric power, in particular to a line loss abnormity diagnosis method based on electric quantity fluctuation analysis. The method comprises the following steps: acquiring an electricity user and electricity data; calculating a power supply quantity change rate and a power consumption change rate according to the daily power supply quantity of the transformer area and the fluctuation degree of the daily power consumption of the transformer area, and further judging a line loss abnormity type; if the line loss abnormity type is user side abnormity, screening the electricity users, and obtaining a user side abnormity type according to the screened electricity users; if the line loss abnormity type is power supply side abnormity, calculating a power supply quantity multiple, and performing fault attribution to obtain a power supply side abnormity type; and explaining the two exception types through the SHAP so as to generate a line loss exception diagnosis report. In this way, the adaptability and robustness of the diagnosis method in a novel scene containing a distributed power supply and the like can be enhanced, the interpretability of a diagnosis result is further improved, and a clear and credible feature basis is provided for field check.

The invention relates to the technical field of intelligent power grid and new energy automobile charging control, and discloses a low-carbon economical charging pile power dynamic regulation and control method, system and device and a medium, and the method comprises the steps: obtaining user charging parameters and preference weights, combining historical travel data to predict a departure probability, and screening an adjustable and controllable time period; collecting electricity price, carbon intensity and power grid state data in real time to calculate a dynamic regulation and control coefficient; performing standardized processing on external data and fusing user weights to construct a time period scoring function; selecting high-quality time periods to form a candidate set according to score sorting; solving an optimal power distribution scheme meeting target electric quantity and power constraint in the candidate set by taking minimization of carbon emission and power cost as a target; and finally, converting the scheme into a control instruction sequence to execute dynamic power regulation and control in real time. The method is used for optimizing electricity-carbon collaboration and user experience in the charging process.

An inertia cooperative control method of an integrated optical storage alternating current and direct current hybrid micro-grid comprises the steps that firstly, according to static and dynamic power capacities of energy storage units in direct current sub-grids and allowed direct current voltage deviation, sub-grid equivalent virtual resistance and virtual capacitance are calculated; secondly, RC + R type parallel virtual impedance parameters are distributed according to the power proportion of each energy storage unit, and multi-energy-storage cooperative response power disturbance according to the capacity is achieved; then, a phase angle is generated based on the mapping relation between direct-current side voltage and frequency, an alternating-current voltage amplitude instruction is determined in combination with reactive power droop control and feeder impedance voltage drop compensation, and a dq-axis voltage instruction is generated through virtual impedance compensation; normalized three-phase modulation waves are obtained through voltage-current double closed-loop control and dq / abc coordinate transformation, and six paths of PWM signals are generated to drive an interconnection converter after the normalized three-phase modulation waves are compared with triangular carrier waves. The method does not need to depend on external communication, has the capabilities of autonomous inertia support, voltage and frequency coordinated regulation and reasonable multi-source power distribution, and improves the stability and dynamic response performance of the system under island operation.

The invention provides a thermal management method of a battery, a vehicle and a controller, and relates to the technical field of power batteries, and the thermal management method comprises the following steps: obtaining the predicted residual electric quantity of a power battery of the vehicle in a predicted driving road section, the target demand power of the power battery and the current state of the power battery; obtaining a target temperature range based on the predicted residual electric quantity and the target demand power; based on the current state of the power battery, obtaining a first temperature of the power battery on the predicted driving road section; based on the first temperature and the target temperature range, the current temperature of the power battery is controlled, so that the current temperature of the power battery is within the target temperature range. According to the method, the target temperature range of the predicted driving road section can be determined in advance, and thermal management is timely performed on the power battery according to the target temperature range, so that the energy consumption of the power battery is improved.

The invention discloses a self-adaptive transformation ratio adjustment electric quantity metering method and device, the device comprises a high-voltage metering device and a control center, and the high-voltage metering device is composed of a voltage transformer, a current transformer and an electric energy meter. The core innovation point is that the current transformer is provided with a plurality of secondary windings, each winding is respectively connected with a relay with a multi-gang switch contact, the output end of the relay is connected with the electric energy meter, and the relay and the control center realize linkage control. The control center drives a multi-gang switch contact of the relay to be automatically switched to a secondary winding adaptive to the current load by monitoring the current state of the load in real time; factors such as temperature, humidity and the year of a home-entry power grid are introduced to correct a current measured value, and the accuracy of electric quantity metering is improved. Meanwhile, the control center records transformation ratio switching data in real time, reliable support is provided for time-of-use electricity price execution, demand side response and electric quantity tracing, and the intelligence and refinement level of electric power metering is remarkably improved.

The invention provides a power battery equalization control method, device and equipment and a medium, and relates to the technical field of battery management systems.The method comprises the steps that the total capacity of a battery pack and the open-circuit voltage of each single battery are obtained, and an equalization capacity difference initial value and a charging tail end charge state threshold value are set at the same time; when the single battery is in a non-plateau period, according to a corresponding relation between the open-circuit voltage and a preset open-circuit voltage-state-of-charge characteristic curve, calculating the state of charge of the single battery; a difference value between the single body charge state and the minimum charge state is calculated to form a charge state range, and the charge state range is compared with a preset charge state deviation threshold value to judge whether equalization operation needs to be executed or not; when it is judged that equalization operation needs to be executed, the equalization electric quantity is calculated according to the charge state range, the single body rated capacity and the health state coefficient; and determining equalization time based on the proportional relation between the equalization electric quantity and the equalization current, and executing equalization operation according to the equalization time. According to the invention, active equalization control of the power battery can be realized.

The invention relates to the field of power transmission line operation and maintenance, in particular to a power transmission line unmanned aerial vehicle autonomous charging method and system. The method comprises the steps of monitoring electric quantity level and position information of the unmanned aerial vehicle in real time to obtain state data; based on the state data, when the electric quantity level is lower than a preset threshold value, generating a charging request signal; in response to the charging request signal, calculating a navigation path according to the position information and the position of the charging nest to obtain path data; controlling the unmanned aerial vehicle to fly to the charging nest according to the path data, and adjusting the flight trajectory in real time by using the environment sensing data in the flight process to obtain an updated trajectory; when the unmanned aerial vehicle arrives at the charging nest based on the updated track, docking operation is executed; and after the connection is completed, starting a charging process to charge a battery of the unmanned aerial vehicle. The method effectively solves the core problems that the autonomous charging opportunity of the unmanned aerial vehicle is not accurately judged, the return path lacks the dynamic adjustment capability and the docking reliability is low.

The invention discloses a battery internal short circuit detection method and device which are applied to a battery pack comprising a plurality of single batteries, and the method comprises the steps: obtaining the current information of the battery pack and the voltage information of each single battery; constructing observed quantity representing monomer difference, and estimating a first difference parameter representing monomer voltage source characteristic difference and a second difference parameter representing monomer impedance characteristic difference on line by adopting nonlinear filtering to obtain a corresponding time sequence; segmenting the time sequence according to a preset operation period, and performing weighted convergence according to weights related to electric quantity changes to obtain corresponding characteristic parameters; and constructing a first statistical discrimination quantity and a second statistical discrimination quantity which reflect extreme value deviation and fluctuation deviation based on the periodic characteristic parameters, performing joint discrimination with a threshold value, and determining an internal short circuit when abnormal monomers are consistent and meet a continuous periodic criterion. According to the method, through difference observation, filtering estimation, periodic weighting and double-discriminant-quantity combined judgment, the discriminant stability and reliability under working condition fluctuation and noise interference are improved.

The invention discloses an ultra-low power consumption control method and system for an earphone end, and the method comprises the steps: monitoring power utilization parameters, and carrying out the analysis to obtain a power consumption state; predicting a power consumption trend based on the connection history and the signal environment; and setting a state regulation and control plan based on the power consumption state and the power consumption trend. Therefore, according to the monitored electric quantity and the use environment, the subsequent power consumption condition is predicted, then according to the prediction result, the state regulation and control plan is dynamically set, the standby state is automatically converted, a user does not need to manually start a shipping mode, it is ensured that the earphone state and power consumption are maintained in a reasonable interval, and the standby endurance is greatly improved.

The invention discloses a coordination control method and related equipment for a network-construction-type flexible direct current converter station. The method comprises the following steps: firstly, determining the maximum capacitive reactive power capacity of the network-construction-type flexible direct current converter station; simulating a fault through time domain simulation, and calculating dynamic reactive power required for guaranteeing the stability of the transient voltage of the hub bus; selecting a parallel capacitor bank close to a grid-connected point to form a collaborative resource set, and initializing and distributing the input capacity of the collaborative resource set; taking the flexible direct current reference voltage, the active power and the capacitor input capacity as boundaries, taking maximization of a static voltage stability index as a target, executing continuous power flow optimization, calculating reactive power reserve capacity, and sending a control target after conditions are met. According to the invention, excessive consumption of flexible direct-current reactive power reserve is avoided by determining the capacity reference, and the dynamic reactive power demand is accurately calculated to ensure fault support; the cooperative capacitor bank supplements insufficient static resources and reduces flexible DC burden; through continuous power flow optimization, overall planning of steady-state and transient-state voltage stability is achieved, and the comprehensive supporting capacity of the network-constructing flexible direct current power supply to the voltage stability of the power grid is effectively improved.

The invention discloses a power grid dispatching method in an energy storage participation scene. The method comprises the following steps: establishing a master-slave game system taking an energy storage end of a demand side of a power distribution network as an upper layer and an electrical load end of the demand side as a lower layer, wherein the master-slave game system comprises an upper-layer energy storage model and a lower-layer electrical load model; inputting the scheduling capacity and the scheduling ratio of the energy storage end into the upper-layer model, outputting electric quantity transmission cost parameters of the energy storage end and the electric load end, inputting the electric quantity transmission cost parameters into the lower-layer model, outputting the transmission electric quantity of the energy storage end and the electric load end after processing, and inputting the transmission electric quantity into the upper-layer model for circulation until a variable reaches a steady-state value, and obtaining the scheduling amount to realize the scheduling of the power grid. According to the method, dynamic collaborative optimization of energy storage and power utilization load side resources can be realized, the problems of low resource utilization rate and insufficient model precision in the prior art are solved, the overall optimization and scheduling flexibility of an energy system is remarkably improved, and the technical blank in the field of collaborative optimization and dynamic interaction in the prior art is filled.

The invention belongs to the technical field of data processing, and particularly relates to a power supply load prediction method and system for a new energy vehicle, and the method comprises the steps: obtaining real-time operation parameters and a historical power supply load data set of the new energy vehicle; for any moment, determining the load fluctuation sensitivity according to the offset of the power supply load relative to the historical power supply load in the same period and the difference of the power supply load relative to the previous moment; determining the load demand potential by combining the difference between the residual electric quantity of the on-line controlled vehicle and the environment temperature; and determining a prediction weight based on the two indexes, extracting a long or short period data set in combination with a magnitude relationship between the prediction weight and a preset weight threshold, and realizing prediction by using an exponential smoothing method. According to the method, the problems of response lag and insufficient precision of a traditional prediction algorithm when a charging scene is highly dynamic are effectively solved, and high-precision real-time tracking of unsteady state load characteristics is realized.

The invention discloses an NFC trigger control method integrating wireless charging and automatic data backup, and relates to the field of data backup. The method comprises the following steps: realizing equipment identity authentication and electric quantity information acquisition through an NFC trigger mechanism, dynamically calculating target charging power based on the current electric quantity, and monitoring the equipment temperature in real time in a wireless charging process. By calculating the difference value between the working upper limit temperature and the real-time temperature of the storage chip, a pre-trained reading frequency determiner is used for intelligently generating a real-time reading frequency parameter, and the working state of the storage chip in the data backup process is dynamically regulated and controlled. A cloud collaborative optimization mechanism is further introduced, the confidence coefficient weight of each determination unit is dynamically adjusted according to historical accuracy data, and self-adaptive optimization of the reading frequency determiner is achieved. According to the method and the device, the problem of equipment overheating during concurrent execution of wireless charging and data backup is effectively solved, the balance of charging efficiency, backup safety and equipment thermal management is realized, and the user experience is remarkably improved.

The invention discloses a range-extended hybrid motorboat system and a control method, and relates to the technical field of new energy engineering, and the system comprises a man-machine interaction unit which is used for receiving an operation instruction and displaying a system state; the system control unit is used for receiving a user instruction and feedback information and issuing a control instruction to the corresponding unit; the high-low voltage unit is used for storing, converting and distributing the electric energy; and the power integration unit is used for providing a fuel power source for the range extending mode and comprises an engine, an engine controller, an electric control ISG motor, an electric control driving motor, a cooling device, a fuel tank and a liquid level sensor. The range-extended hybrid power mode of fuel power generation and motor driving is adopted, the battery is continuously charged or the electric control driving motor is directly supplied with power when the electric quantity is insufficient, energy can be quickly supplemented through refueling, the problems that a pure electric motorboat is short in endurance and inconvenient to charge are effectively solved, and the service life of the pure electric motorboat is prolonged. The advantages of low noise and zero emission of pure electric drive and long endurance of fuel power are achieved.