561 results about "Electrical efficiency" patented technology

The invention discloses a charging chip real-time power scheduling control method, and relates to the technical field of new energy automobile charging pile power scheduling, and the method comprises the following steps: S1, obtaining the operation parameters of charging equipment in real time, including the voltage fluctuation value of an input power grid, the output current of a charging interface, and the temperature of a charging chip; according to the method, the power grid voltage fluctuation, battery SOC / temperature and chip working condition multi-source data are collected in real time, a multi-target optimization model of dynamic weight distribution is combined, the service life loss of the battery is minimized, the charging efficiency and the power grid load are balanced at the same time, the user charging mode and the battery state difference are taken into consideration by adopting a priority scheduling strategy, and the charging efficiency is improved. Millisecond-level power fine control is achieved through cooperative adjustment of the PWM duty ratio and the switching frequency, personalized charging requirements are met, the overall energy efficiency is improved, a dual safety defense line is constructed through a graded load reduction protection mechanism and a fuzzy control algorithm, and a power distribution scheme is intelligently reconstructed when a power grid is abnormal or a battery is overheated.

The invention relates to the technical field of new energy vehicle charging, and discloses a new energy vehicle charging station power supply optimization regulation and control system in a power supply peak period, and the system comprises a processor, a charging demand prediction module, a power supply load distribution module, a real-time regulation and control module, and a power supply performance monitoring module. The charging demand prediction module predicts a charging demand based on historical data and user behaviors; the power supply load distribution module distributes power supply priority and power upper limit according to the prediction result and the power grid state; the real-time regulation and control module adjusts power supply parameters according to the real-time data The power supply performance monitoring module records the regulation response time and the deviation value. In addition, the system is further provided with an energy storage coordination module, a user priority evaluation module and a power grid interaction module which are respectively used for optimizing energy storage management, evaluating user priority and coordinating power grid power supply. The system can accurately predict the charging demand, reasonably distribute power supply resources, regulate and control power supply parameters in real time, and improve the power supply efficiency and stability of the charging station.

A charging method based on intelligent dynamic power allocation. The method comprises: acquiring the current SOC, a real-time power demand, a rated power and infrared position detection information of an electric vehicle; on the basis of the current SOC, the real-time power demand, the rated power and the infrared position detection information of the electric vehicle, and in combination with a dynamic average power allocation strategy, a user first-come-first-served allocation strategy, a reverse SOC threshold value incentive strategy and an overall-power utilization maximization strategy, performing power allocation and generating a corresponding control instruction; and controlling the output of a charger topology switch on the basis of the control instruction. Further disclosed is a multi-gun charger apparatus using the charging method. The charging method includes a moderate power allocation strategy and takes into account the demands of both a charger control system and users, and can effectively improve the overall charging efficiency, reduce the charging time, and improve the utilization rate of charging piles.

The invention discloses a gas generator and energy storage battery hybrid energy supply scheduling strategy, belongs to the technical field of storage and charging, and mainly solves the problems that in an energy supply mode of a gas generator in existing oil and gas drilling operation, the power generation efficiency of the gas generator is low, and the gas generator is prone to flameout when coping with an impact load. Measuring and acquiring data of voltage and current of oil and gas drilling operation energy consumption equipment, the starting number of gas generators and the residual electric quantity of an energy storage battery; 2, calculating the real-time total power, the power abrupt change rate and the load rate of the gas generator according to the measured data; 3, the number of gas generators needing to be started and the charging and discharging state of energy storage electricity are determined according to the calculation and analysis result; and 4, repeating the steps 1-3 until the drilling operation is finished. The scheduling strategy depends on an existing energy management system, the starting number of the gas generators and the charging and discharging states of the energy storage batteries are reasonably controlled by combining the total power fluctuation characteristics of oil and gas drilling operation, comprehensive management of hybrid energy supply of the gas generators and the energy storage batteries in the oil and gas drilling operation is achieved, the power generation efficiency of the gas generators is improved, and the energy consumption is reduced. Meanwhile, flameout of the gas generator is avoided, and operation safety is guaranteed.

The invention relates to the technical field of charging pile control, in particular to a charging pile dynamic energy-saving method based on a cooling algorithm, and the method comprises the following steps: carrying out the real-time data collection of a charging pile cooling device, and collecting the temperature and flow velocity of a cooling medium, and the temperature and voltage data of a battery in a charging state; according to the method, the energy consumption evaluation performance function is constructed based on the data, and the analysis of cooling energy consumption optimization is achieved in combination with the charging efficiency. The calculation of the gradient data provides an optimization direction in flow and temperature parameter adjustment, and the unreasonable phenomenon of cooling resource allocation is avoided. Iterative optimization of a parameter adjustment result is combined with continuous monitoring of energy consumption and equipment efficiency, and it is ensured that the cooling system can still operate in a dynamic optimization mode under complex conditions. The prediction analysis of the temperature change range in the peak period is combined with the real-time data to adjust the cooling resource allocation rule, and the adaptability of the cooling system in a complex scene is improved.

The invention relates to the technical field of circuit operation and maintenance, in particular to a power transmission line icing risk assessment system and method, and the system comprises a data acquisition module, a data collection module, a spectrum analysis module, a data analysis module and a risk assessment module. Wherein the data analysis module determines an icing trend of each characteristic time period according to historical icing data and determines an icing characterization tendency in combination with a real-time temperature so as to determine whether to perform icing risk assessment; the risk assessment module controls the data acquisition module to start data acquisition, determines whether a preset distribution condition is met or not according to the frequency distribution condition, and determines a risk assessment state according to a judgment result whether the preset distribution condition is met or not and the power transmission efficiency so as to determine a subsequent deicing method; according to the method, the icing risk is effectively monitored and evaluated, the corresponding deicing method is provided, safe and stable operation of the power transmission line under the icing condition is guaranteed, the stability of a power system is improved, and adverse effects caused by icing disasters are reduced.

The invention relates to a charging pile energy management method, system and device and a medium, and belongs to the technical field of charging pile energy management, and the energy management method comprises the steps: receiving a vehicle charging demand, calculating the charging urgency degree, obtaining the real-time state of a charging pile, calculating the power margin, and constructing a charging pile-vehicle adaptation matrix; and then, the system calculates a power distribution strategy and sends the strategy to the vehicle end to ensure reasonable matching of charging resources. The system calculates the safety limit value in real time and adjusts the actual distribution power to ensure the safe operation of the charging pile. And if the power of a certain charging pile is insufficient, calculating a to-be-migrated power amount and generating a load migration strategy, and adjusting the bus voltage by utilizing the energy storage equipment to carry out cross-pile power migration. After charging is started, the system monitors and executes feedback, dynamically optimizes a power distribution strategy, and identifies a low-efficiency charging pile for power compensation. The charging pile resource allocation can be optimized, the overall charging efficiency is improved, and the user experience is improved.

The invention discloses an intelligent silicon controlled rectifier voltage conversion circuit, which relates to the technical field of voltage conversion, and comprises a photovoltaic module, a micro-control module, a power regulation module, a first voltage threshold, a second voltage threshold, a second voltage threshold, a third voltage threshold, a fourth voltage threshold, a fifth voltage threshold and a sixth voltage threshold, when the converted electric energy is larger than a first voltage threshold value, the access control module transmits the electric energy output by power regulation, superposes the electric energy output by double-path electric energy coupling and stores the superposed electric energy by the energy storage module, and when the converted electric energy is smaller than the first voltage threshold value and larger than a second voltage threshold value, the access control module outputs the superposed electric energy. And when the voltage is smaller than a second voltage threshold value, electric energy coupling is stopped, the power regulation module is controlled to carry out power regulation on the electric energy released by the energy storage module, and power is supplied to the output module. According to the intelligent silicon controlled voltage conversion circuit, the utilization rate of photovoltaic electric energy can be improved, and the voltage gain and the power supply efficiency are improved.

The invention belongs to the technical field of aviation electric propulsion, and relates to a hydrogen fuel cell superconducting hybrid electric propulsion system based on hydrogen and helium heat exchange cooling, which is suitable for megawatt level branch aircrafts and comprises a liquid hydrogen storage tank, a hydrogen and helium heat exchanger, a hydrogen fuel cell, a lithium battery, an inverter, a superconducting motor, a propeller and other core components. The liquid hydrogen storage tank vaporizes liquid hydrogen through the micro-channel plate type hydrogen-helium heat exchanger and stably supplies the vaporized liquid hydrogen to the hydrogen fuel cell to generate electric energy; helium is used for a low-temperature cooling loop and cooling key assemblies such as a superconducting motor, a low-temperature inverter, a superconducting cable and a hydrogen fuel cell, and it is ensured that the key assemblies stably operate at the optimal working temperature. The hydrogen fuel cell and the lithium battery cooperatively provide electric energy for the superconducting electric propulsion system, the integrated energy management controller dynamically adjusts the output power of the fuel cell and the lithium battery by adopting a state machine strategy, and accurate monitoring and optimal distribution of working parameters of all components are achieved. The optimal heat balance and power output are ensured to be realized in different flight stages such as takeoff, cruise and landing; according to the hydrogen fuel cell hybrid electric propulsion system based on hydrogen and helium heat exchange cooling, the power generation efficiency and the operation stability of the hydrogen fuel cell are remarkably improved, the overall energy conversion efficiency is improved, and the high-power and high-efficiency power extraction requirements of megawatt aircrafts are fully met.

The invention provides a self-adaptive charging power supply control method and system, and relates to the field of power supply control, and the method comprises the steps: capturing a voltage and temperature time sequence signal of a battery in real time through a high-precision sensor, carrying out the multi-scale time sequence modeling of the dynamic characteristics of the battery through a time convolution network in combination with the charging behavior data of a user, and obtaining a multi-scale time sequence model; and extracting high-frequency nonlinear fluctuation characteristics of the battery state. Meanwhile, semantic association coding is performed on the user behavior data, and a mapping relation between the user demand and the battery health state is established. Then, a cross-modal feature interaction mechanism is introduced, dynamic coupling analysis of the battery state and the user requirement is achieved, finally, a charging voltage regulation and control instruction which is optimally matched with the current battery state and meets the user scene requirement is generated through a decoder, charging parameters are dynamically adjusted, and collaborative optimization of the charging efficiency, the battery life and the personalized scene is achieved.

The invention relates to the technical field of new energy station monitoring, in particular to a new energy station monitoring system and method based on an intelligent sensor, and the system comprises an intelligent model unit which builds a multi-factor model and predicts the power generation efficiency; the continuous optimization unit is used for predicting burst data according to the power generation efficiency; when the system is used, the system adapts to seasonal changes and sudden weather conditions, the operation efficiency of the new energy station is improved, energy management can be optimized, the sustainability and economical efficiency of the system are ensured, the new energy station can operate in an efficient and stable environment by continuously optimizing the operation of the units, and the new energy station is suitable for popularization and application. The power generation efficiency of the whole new energy station is further improved, the operation and maintenance cost is further reduced, the power generation efficiency and equipment state data are monitored in real time, whether equipment needs to be maintained or adjusted or not is judged, manual intervention is reduced, the intelligent degree of the system is improved, it is ensured that the power generation efficiency is always kept in the optimal state, and resource utilization is maximized.

The invention relates to the technical field of unmanned vehicle management, in particular to an unmanned vehicle intelligent monitoring management system, which accurately detects electronic activities in a battery pack through a quantum tunneling effect electric quantity sensor, generates quantum signals, obtains multi-dimensional electric quantity data through processing, and provides a basis for energy management. Tensor analysis and a convolutional neural network are used to carry out deep mining on the multi-dimensional signal data, an energy flow state is monitored in real time, and an abnormal energy flow mode is identified; in combination with an energy flow analysis result, a charging scheduling scheme is generated and optimized by using chaotic mapping and a multi-objective optimization algorithm, and the charging efficiency, the vehicle waiting time and the power grid load are balanced; a charging adaptation model based on a biological neural network is constructed, intelligent charging adaptation decision making and charging equipment operation control are realized through reinforcement learning algorithm training, and the charging flexibility and efficiency are improved.

The invention provides a battery charging rate determination method and device, electronic equipment and a storage medium. The method comprises the following steps: obtaining a self-discharge current of a battery in each cycle charging process; the self-discharging current is the self-discharging current collected in the constant-voltage charging process when the battery is charged at a first charging rate in each circulating charging process until the electric quantity parameter of the battery reaches a preset electric quantity parameter and the battery is continuously charged in a constant-voltage charging mode; the values of the first charging multiplying power of the battery are different in different cyclic charging processes; and determining the corresponding maximum charging rate of the battery under the preset electric quantity parameter based on the self-discharging current. According to the embodiment of the invention, the maximum charging rate of the battery is determined based on the self-discharging current, and the battery is guided to be charged through the maximum charging rate, so that metal deposition in the battery can be reduced, and the risk of side reaction can be reduced while the charging efficiency of the battery is improved.

The invention discloses a voltage balancing device of a 10KV three-element combined mutual inductor and a using method of the voltage balancing device, and relates to the technical field of mutual inductors. The voltage balancing device of the 10KV three-element combined mutual inductor comprises a first mutual inductor shell, the voltage balancing device comprises a second mutual inductor shell, a voltage mutual inductor is installed in the first mutual inductor shell, and a current mutual inductor is installed in the second mutual inductor shell. The front end of the first mutual inductor shell is fixedly connected with a mutual inductor junction box, a voltage stabilizer is installed outside the first mutual inductor shell, and by means of Y-shaped connection of a secondary winding of the voltage mutual inductor and use of a circuit breaker and the voltage stabilizer, voltage balance of the voltage mutual inductor is facilitated; the Y-shaped connection can guarantee three-phase balance while providing a stable power supply, has an effect of absorbing harmonic waves, improves the power supply efficiency, avoids equipment damage caused by overload, and guarantees good operation of low-voltage power grid protection.

The invention discloses a real-time monitoring and accurate fault positioning system for an intelligent power transmission line, and belongs to the technical field of line monitoring, and the system comprises a deployment module which is used for installing an intelligent monitoring terminal according to the trend of the power transmission line; the intelligent monitoring terminal obtains various parameter information of the power transmission line; the integrated processing end is used for carrying out standardization processing on the received parameter information to obtain standard data parameters; the monitoring analysis end is used for analyzing the standard data parameters and judging whether the power transmission line has a fault or not; and the response module responds to the fault position when the power transmission line has the fault. According to the method, comprehensive analysis is performed according to the accumulation condition of the fault coefficients, the change trend of the fault coefficients and the fluctuation condition of the fault coefficients in combination with environmental factors, and potential fault risks of the power transmission line are pre-judged in advance, so that early warning processing is performed in time, subsequent faults are reduced or avoided, and the power transmission efficiency is ensured.

The invention discloses a spacing-adjustable magnetic steel wire electricity-taking clamp, and aims to solve the problems of poor stability, difficult installation of an electricity-taking clamp and poor adaptability in the adsorption electricity-taking process of an existing magnetic steel wire. The electricity taking clamp comprises a clamping assembly, an adjusting assembly, a fixing assembly and a plurality of magnetic steel wires, the clamping assembly is connected with the adjusting assembly, and the fixing assembly is connected with the clamping assembly; the adjusting assembly is used for adjusting the clamping width of the clamping assembly, the clamping assembly abuts against the circuit breaker, the fixing assembly is matched with the clamping assembly to fix the multiple magnetic steel wires, and the multiple magnetic steel wires are electrically connected with the circuit breaker. The electricity taking clamp can be adapted to circuit breakers with different widths, so that the universality of the electricity taking clamp is improved, and the cost is reduced; the adaptation process during power taking of the circuit breaker is saved, the power taking operation time is shortened, and the power taking efficiency is improved. The matching efficiency of the magnetic steel wire and the screw hole of the circuit breaker is improved, the wiring operation is simplified, the clamping assembly abuts against the circuit breaker, the stability of the power taking clamp after installation is ensured, and continuous power supply is guaranteed.

The invention discloses a mobile power supply with an intelligent electric energy management function, and relates to the technical field of mobile power supplies, and the mobile power supply comprises a photovoltaic detection control module which is used for photovoltaic conversion, voltage sampling and voltage comparison; the energy storage and discharge module is used for storing energy and discharging; the intelligent control module is used for signal receiving and module control; the coupling boosting module is used for power regulation, coupling regulation, rectification filtering and output voltage superposition work; the output control module is used for carrying out coupling adjustment and rectification filtering processing; the first output module is used for receiving the electric energy output by the output control module; and the second output module and the third output module are used for receiving the electric energy output by the coupling boosting module. The mobile power supply with the intelligent electric energy management function can provide multi-path power supply, the step-up ratio, the voltage gain and the power supply efficiency are improved, when only the first output module supplies power, power can be supplied to the energy storage discharging module through the coupling step-up module, and the utilization rate of electric energy is improved.

The invention relates to the technical field of industrial robot fault diagnosis, and discloses a fault early warning and remote diagnosis method for an industrial robot electrical control system, and the method comprises the steps: obtaining a mechanical load parameter through a potential load model, an inertia load model and a basic dynamics model, obtaining an electrical state parameter through an electrical efficiency model, and carrying out the fault early warning and remote diagnosis. A correction factor is generated through a correction model in combination with the environment temperature, a dynamic current threshold value is calculated through a threshold value model based on the correction factor and a basic current threshold value, and finally health scores and fault early warning information are output through a diagnosis model in combination with the vibration acceleration and servo ring following errors. According to the method, mechanical, electrical and environmental multi-source parameters are fused, dynamic threshold adjustment and multi-dimensional health assessment are realized, normal working conditions and abnormal states are effectively distinguished, the fault early warning accuracy is remarkably improved, the false alarm rate is reduced, and a reliable remote diagnosis scheme is provided for the industrial robot.

The invention relates to the technical field of electronics, and discloses a power supply method, a readable storage medium, a chip and electronic equipment. The electronic equipment can store the corresponding relation between the voltage parameters of the power supply modules and the phase cutting current thresholds corresponding to different power supply groups. In the operation process of the electronic equipment, the current voltage parameter of the power supply module can be obtained, and the phase cutting current threshold value matched with the current voltage parameter is determined based on the corresponding relation. And then, the electronic equipment can supply power to the load through the power supply group which corresponds to the current output current and has the highest power supply efficiency according to the relationship between the current output current of the display screen power supply module and each determined phase cutting current threshold value. Therefore, since the phase cutting current threshold is matched with the current input voltage and the current output voltage of the power supply module, the power supply module can work under the condition of a power supply phase number with relatively high efficiency, so that the power supply efficiency of the power supply module for the load is improved, and the power consumption of the electronic equipment is reduced.

The invention provides an induction electricity taking efficiency improving method based on magnetic coupling, and particularly relates to an induction electricity taking efficiency improving method of a variable mechanical property magnetic coupling agent based on an environment characteristic matching mechanism. According to the method, a penetration initial value estimation formula is designed, mechanical indexes of the magnetic coupling agent paste are determined according to different environmental empirical values, the hardness, temperature stability and other properties of the coupling agent paste are adjusted by adjusting the proportion of a single component under the condition that other properties are not affected, and the initial magnetic coupling agent is prepared; error correction is carried out through effect testing of the magnetic coupling agent, and after mechanical characteristics are compensated, the final paste penetration is obtained to configure the final coupling agent paste, so that the magnetic coupling performance of the induction electricity taking device is optimized, and the induction electricity taking efficiency is improved; the method is an environment characteristic matching effect evaluation method based on a fiber material science characterization means, feedback compensation is carried out on the proportion of the components of the magnetic coupling agent paste, and the induction electricity taking efficiency of a specific application environment is improved.

The invention discloses a multi-energy complementary coordination control method for water, wind, light, hydrogen and natural gas, relates to the technical field of energy coordination control, and solves the technical problem that coordination of the overall power generation efficiency and the overall power generation capacity is abnormal due to the fact that energy is not scientifically coordinated for power generation. The power generation efficiency is calculated through the comprehensive energy model, the electric power balance constraint is judged, signals are generated in time, the accuracy and timeliness of energy state evaluation are greatly improved, power utilization peak periods are subdivided and coordinated according to characteristics, energy is selected according to energy storage in the daytime to guarantee supply, power is distributed through an optimization algorithm at night, cost is reduced, efficiency is improved, and the scheduling mode is innovated. Then accurately calculating the difference between the generating capacity and the load capacity in a normal electricity utilization period, storing residual electricity to produce hydrogen, and enhancing the flexibility and the energy storage capability of the system; and finally, scientifically screening adjustable energy, distributing the electric quantity to be coordinated, calculating the adjustment efficiency, excavating the potential of renewable energy and improving the contribution degree of the renewable energy in the system when the power generation efficiency is insufficient.

The invention discloses a self-adaptive switching system and method for power supply and distribution, and relates to the technical field of smart power grids, and the method comprises the steps: loading a quantum algorithm library and power grid operation data to a quantum calculation platform, carrying out the parallel processing of the power grid operation data through a quantum algorithm, analyzing the abnormal condition in a current power grid, and obtaining a switching result according to the analysis result. According to the method, the optimal power supply path and the switching strategy from the power generation equipment to the load point are optimized, the optimal solution can be quickly found when a large-scale complex power grid is processed through the quantum algorithm, and the optimal power supply path and the switching strategy are obtained. The transmission loss of a power transmission line and power generation equipment is effectively reduced, and the power supply efficiency of a power grid is improved. In addition, by introducing a time attenuation factor and a priority weight, a switching strategy is further optimized, and efficient operation of a power grid and reasonable distribution of loads are ensured.

The invention provides a power distribution method and system of an intelligent power distribution cabinet, a storage medium and equipment, and relates to the technical field of food safety management. The method comprises the following steps: acquiring electric power parameters corresponding to each electric device, and extracting historical change characteristics of the electric power parameters; calculating a time sequence correlation coefficient between the power parameters, and constructing a feature correlation matrix according to the time sequence correlation coefficient; on the basis of the historical change features and the feature incidence matrix, predicting electric power prediction parameters corresponding to each electric device in a future preset time period; determining an abnormal electric power parameter and an abnormal electric equipment range correspondingly influenced by the abnormal electric power parameter based on the electric power prediction parameter; and generating a target power distribution strategy based on the abnormal power parameters and the abnormal electric equipment range. By implementing the technical scheme provided by the invention, the overall power distribution efficiency is improved.

The invention relates to a control method of a power supply system, the power supply system and a device, the method is applied to a control module in the power supply system, the power supply system comprises the control module, a parallel operation module, at least one power generation module, at least one energy storage module and a load module, the parallel operation module is used for supplying power to the load module, the method comprises the steps that in the process that the parallel operation module supplies power to the load module, the current total load power of the load module is acquired; obtaining an operation mode of each power generation module and / or each energy storage module which is currently operated; and according to the total load power and the operation mode, determining the power supply power of each power generation module and / or energy storage module which is operating at present, and controlling the power generation module and / or the energy storage module to supply power to the parallel operation module according to the corresponding power supply power. Therefore, the power supply efficiency of the power supply module can be improved while the electric energy is saved, so that the electric energy is more efficiently provided for the load module, and the utilization rate of the electric energy is improved.

The invention discloses a fuel cell system domain controller FDCU and a control method, and relates to the field of fuel cell system control, and the control method comprises the following steps: S1, carrying out the multi-dimensional grouping of power supply channels, and decomposing a complex multi-port power flow into a simplified multi-port / two-port converter topology; s2, the running state of the B0P component is monitored in real time, and the change trend of the power requirement of the component is pre-judged; s3, selecting an optimal grouping scheme according to the change of the power demand of the B0P component, adjusting the grouping of the power supply channels in real time, and adjusting the topological connection mode of the converter; and S4, each power supply channel is controlled through PID, the output voltage / current is adjusted in real time, and the grouping strategy weight is dynamically adjusted according to the emergency degree of the system. According to the invention, comprehensive improvement of power supply efficiency, control stability, flexibility and cost of a fuel cell system is realized through converter topology optimization technical means of multi-dimensional grouping, dynamic adjustment of a power supply strategy and reconstruction of a power flow path.

The invention relates to the technical field of UPS intelligent diagnosis, in particular to a UPS self-diagnosis system based on artificial intelligence, which is characterized in that a storage battery assembly can be charged through a rectifier to store electric energy, and a monitoring module monitors the output voltage condition of the storage battery assembly and the temperature and humidity change condition of a storage battery pack area; historical data monitored by a monitor are stored through an AI analysis module, influence periods are divided and operation conditions are monitored through a control module based on power supply influence tendency characterization values corresponding to different battery management influence periods, and power supply output characterization parameters are determined to predict whether the power supply effect of a storage battery pack meets a preset standard or not. Whether the electric energy compensation device is started or not is determined, the influence of temperature and humidity resistance differences of all single batteries of the storage battery pack on the power supply efficiency in the operation process of the UPS self-diagnosis system is considered, the electric energy compensation device is adaptively involved, and then the power supply efficiency and the battery stability of the UPS self-diagnosis system are guaranteed.

The invention relates to the technical field of direct-current power supply, in particular to a direct-current power supply system with an energy storage function. A gradient descent method is adopted to calculate and optimize a power input and output difference value of a power supply network node, a power gap is accurately judged, dynamic adjustment of node power is achieved according to term-by-term comparison of the power gap and the charging and discharging capacity of an energy storage unit, the efficiency and accuracy of power distribution are remarkably improved, and the energy consumption is reduced. Energy waste or insufficient power supply caused by unbalanced power supply and demand is avoided, loss values in a transmission path are sorted through a dynamic network flow algorithm, a minimum loss path is preferentially selected, a load power demand is matched with transmission capacity, the overall power supply efficiency of the system is improved, and the power supply efficiency of the system is improved through operation temperature monitoring and charge and discharge rate control. The power output quantity of the high-temperature energy storage unit is reduced, the reduced power is distributed to the energy storage unit with the normal temperature, the fault risk caused by overheating of the energy storage equipment is reduced, and the stability and safety of a power supply system are guaranteed.

The invention relates to the technical field of integrated circuit power supply, in particular to a modular multi-stage distributed power supply architecture and method for a whole wafer computing system, the architecture comprises a computing wafer, a power supply module, a bearing substrate and an integrated heat dissipation system, the computing wafer is integrated with various computing units with different voltage requirements, and the power supply module is connected with the integrated heat dissipation system. The power supply module is integrated with the computing wafer through a high-density interconnection interface, a multi-stage power supply topology is adopted in the power supply module, the power supply module comprises a first-stage central power management unit, a second-stage distributed voltage regulation unit array, a high-density embedded capacitor array and a global multi-domain power management integrated circuit, and the bearing substrate is used for bearing related parts. The integrated heat dissipation system carries out differential heat dissipation according to different heat dissipation densities. According to the invention, global optimization of power supply efficiency, precision and thermal management can be realized, and the complex power supply problem of the whole wafer system can be effectively solved.

The invention relates to the technical field of power system optimization, and discloses a charging load estimation and charging mode optimization method based on an electric vehicle. According to the method, a source load storage-medium voltage distribution network collaborative planning framework is initialized, and charging station geographical distribution and user charging behavior modes are integrated; collecting charging load sequence data in real time, and judging a charging load control state through a volatility analysis algorithm; when the charging load control is in an unstable state, synchronously analyzing voltage fluctuation characteristics and charging power change characteristics of the power distribution network, and generating a charging efficiency evaluation value; dividing the charging effect into three levels of high efficiency, conventional and low efficiency based on the evaluation value; for a conventional grade charging effect, a time sequence decomposition technology is adopted to extract a load trend component, and an overall load stability index is calculated; and fusing the charging efficiency evaluation value and the overall load stability index, and outputting a charging power adjustment instruction. The method effectively improves the operation stability and the charging efficiency of the power distribution network.

The invention discloses an intelligent dynamic power distribution charging method and a multi-gun charger device. The intelligent dynamic power distribution charging method comprises the steps that the current SOC, the real-time power requirement, the rated power and infrared position detection information of an electric vehicle are acquired; based on the current SOC, the real-time power demand, the rated power and the infrared position detection information of the electric vehicle, power distribution is carried out in combination with a dynamic average power distribution strategy, a user first arrival first arrival distribution strategy, a reverse SOC threshold excitation strategy and a whole machine power maximum utilization strategy, and a corresponding control instruction is generated; performing control output of a charger topology switch based on the control instruction; the method comprises a moderate power distribution strategy, gives consideration to the demands of a charger control system and all parties of a user, can effectively improve the overall charging efficiency, reduces the charging time, and improves the utilization rate of the charging pile.