180 results about "Energy management system" patented technology

This invention discloses an IoT-based energy management system for carbon black production equipment. The system includes: collecting energy consumption data and production condition data and unifying timestamps to form a multi-source synchronous data stream; performing standardization and resampling to form an online input dataset; constructing a time-delay structure to expand samples and form a causal discovery training sample set; initializing a directed sparse causal gating matrix and time-delay selection parameters and embedding a MambaTS selective state-space long sequence modeling model to form a parameterized association model; performing state recursive calculations to generate a state representation sequence and a model output dataset; and updating the causal gating parameters based on the model output dataset to form an updated state representation sequence. This invention achieves online consistent association modeling of energy consumption data and production condition data, improving the reliability and operational stability of online energy management associations.

This invention discloses an energy management system and method for range-extended electric vehicles that considers low-temperature thermal demand. By establishing a dual-model training unit, a dual-model fusion prediction reference generation unit, and an MPC real-time decision and closed-loop feedback unit, it solves the pain points of insufficient collaborative optimization of power and thermal management at low temperatures and the difficulty in balancing global optimization and real-time performance. It achieves global optimization of the two state variables, SOC and temperature, through a state grid adaptive dynamic programming algorithm. The optimal reference trajectory and predicted vehicle speed are generated online by the LSTM+RBF dual model. Combined with MPC rolling optimization, it achieves collaborative control, effectively improving fuel economy, reducing battery life degradation, and taking into account the thermal comfort of the passenger compartment. It has strong engineering practicality.

This invention discloses a hybrid drive system based on a three-speed transmission, including a front axle power assembly, a three-speed hybrid transmission, a rear axle drive assembly, and an energy management system. The front axle power assembly includes a connected engine and a P1 motor. The input end of the three-speed hybrid transmission is connected to the P1 motor via a clutch, and the output end of the three-speed hybrid transmission is connected to the front wheels of the vehicle. The rear axle drive assembly is connected to the rear wheels of the vehicle and includes a P4 motor. This invention's three-speed hybrid drive system, with its dual-motor configuration, enables pure electric rear-wheel drive, series rear-wheel drive, parallel front-wheel drive, and four-wheel drive modes. It can enter parallel operation at 0 speed, and a traction mode is set to ensure that the engine and motor enter parallel operation at low speeds to increase wheel-side torque. By integrating the three-speed transmission with the P1 motor and setting the P4 motor to drive the rear wheels, fuel efficiency is improved while reducing the hybrid gearbox size, simplifying layout, and enhancing feasibility. This invention also discloses a vehicle and a control method for the three-speed hybrid drive system.

The application belongs to the technical field of electric ships, and relates to a pure electric ship automation system and an integration method thereof. The system optimizes the network communication protocol of the whole-ship energy management system and the battery management system at the application layer, realizes the monitoring and display of the big data of the battery management system by the network monitoring system under the condition that the independent host of the network monitoring system is cancelled, and uses the energy management system to act as the host of the network monitoring system, integrates the network monitoring system and the existing energy management system, greatly reduces the hardware and wiring of the network monitoring system, enhances the reliability of the network monitoring system, reduces the cost of the electric ship, and is favorable to the promotion and application of the electric ship.

This invention relates to the field of energy storage technology for new energy power plants, and discloses a multi-compartment coordinated charging and discharging intelligent control device for a new energy power plant energy storage system. The device includes a container body, multiple battery clusters and a DC power control cabinet installed on its inner wall. The energy storage EMS energy management system host sends control commands to drive the drive module to synchronously energize electromagnetic coil one and electromagnetic coil two to generate a directional magnetic field. Electromagnetic coil one, in conjunction with a magnetically conductive shell, magnetizes the iron core. The iron core magnetically attracts the I-shaped armature to compress the spring one, which slides downward along the inner wall of the connecting cavity and pulls the telescopic partition to divide the upper part of the connecting cavity into independent positive and negative magnetorheological chambers that are not connected. The magnetorheological fluid in the liquid chamber flows into the corresponding chamber and, under the action of the magnetic field of electromagnetic coil two, transforms from a liquid state into a rigid solid-like state and forms a dense conductive chain, thereby forming a conductive path to ensure that the battery clusters can be independently switched on and off and coordinated across multiple compartments.

This system enables energy management that automatically creates an economically efficient operating schedule for energy storage devices, taking into account electricity procurement costs. [Solution] Customer 5 is equipped with an electrical load 25, a solar power generation device 50, and energy storage devices 20, 30, and is capable of buying and selling electricity to and from the power grid 3. Server 10 creates an operation schedule for the energy storage devices 30, 40 for the next day based on the power procurement unit price for each of several time slots that divide the next day's 24 hours, the predicted power generation amount by the solar cells 50 and the predicted power consumption amount of customer 5 for each of the multiple time slots, and the comparison and determination result of the power procurement unit price and determination threshold in the time slot group that includes the default operating candidate period for the energy storage devices 30, 40 among the multiple time slots. HEMS 20 generates operation commands for the energy storage devices 30, 40 according to the operation schedule created by Server 10.

The application discloses a kind of photovoltaic power station cluster power synergic optimization control methods based on artificial intelligence, and the original data of operation and environment are collected by the sensor of photovoltaic power generation unit local, and the local load power data of each grid-connected point is obtained from external power grid energy management system, is combined into original data set, is formed standardized input feature vector after exception elimination and normalization, constructs model with reducing cluster total power fluctuation, improves the output balance between units as target and meets constraint, solves using particle swarm optimization algorithm of fusion simulated annealing mechanism, exports power adjustment instruction set to clarify each unit planned output target value;Through communication network, issue instruction to each unit local controller, drive photovoltaic inverter to adjust active power output, collect actual operation data after execution, calculate cluster synergic energy efficiency index, load supply-demand ratio and other indexes to evaluate effect, to dynamically adjust algorithm key parameters.

This invention discloses a collaborative energy management system for electric-driven trailers that combines road slope prediction and load adaptation. The system consists of four modules: a physical pre-aiming distance calculation and state information acquisition module extracts vehicle motion state signals and discrete road slope sequences, outputting basic data; a multi-dimensional driving scenario identification and control target dynamic reconstruction module calls the above data and equivalent estimated mass parameters of the trailer to quantify energy recovery potential and instability risk, executes multi-level progressive judgments, and issues scenario control commands; a dynamic parameter adaptive correction module, based on sensor data and the control commands, iteratively updates the aforementioned equivalent estimated mass parameters of the trailer through covariance matrix reset calculations; and a boundary constraint and multi-objective collaborative optimization module, based on received commands, dynamically reconstructs the prediction step size and anti-bend safety boundary, solves the composite cost function, and outputs the residual of the trailer's target motor torque or mechanical braking torque, ultimately completing the collaborative energy management of the entire vehicle.

This invention relates to the field of unmanned aerial vehicle (UAV) energy system technology and discloses an energy management system for improving the lifespan and health of lithium battery packs. The system includes a fuel cell stack, a lithium battery pack, a bidirectional DC-DC power controller, and an anti-backflow module. The fuel cell stack is connected in parallel to the load DC bus via the anti-backflow module. The input side of the bidirectional DC-DC power controller is connected to the lithium battery pack, and its output side is connected in parallel to the load DC bus. The bidirectional DC-DC power controller acquires parameters such as voltage, current, and SOE / SOC, compares the real-time SOE of the fuel cell with the minimum SOE, the output power with the maximum power, and the SOC of the lithium battery with the charging start threshold and the minimum SOC value, and performs operating condition switching. This invention achieves automatic power distribution and natural current commutation between the fuel cell and the lithium battery by adjusting the output voltage of the bidirectional DC-DC power controller, avoiding sudden current changes and effectively extending the lifespan and improving the health of the lithium battery pack.

The application discloses a kind of light hydrogen storage fills integrated energy management system and method, it is related to energy management technical field, system includes light hydrogen storage fills integrated module and energy management module, energy management module is used for: the operating state data of each module of the light hydrogen storage fills integrated module is collected, obtains system state vector;Based on the initial allocation weight between each module and the system state vector to be allocated power, determine the initial allocation power of each module;For each module in light hydrogen storage fills integrated module, call corresponding power regulation agent, correct the initial allocation power corresponding to module, output correction result;Based on correction result, determine the final allocation power of each module;Based on final allocation power, determine the reference state vector of system state vector after power allocation, reference state vector is mapped as the control instruction of each module by cause-effect mapping relationship.This application improves the reliability of energy management system.

This invention relates to a hybrid-powered unmanned aerial vehicle (UAV) energy management method, and more particularly to a UAV energy management method based on a pilot model, belonging to the field of UAV energy management technology. Based on the analysis of pilot operation characteristics, this invention constructs a power prediction model. According to the prediction time domain length, the weight matrix of the problem-solving framework in the model, and the constraints reflecting the pilot's operating style and the predicted impact on operation, a hybrid power system energy allocation strategy that balances range and power system lifespan is obtained. This achieves an energy management system that adapts to the pilot's needs, improving flight economy and personalization.

An apparatus for controlling a home energy management system (HEMS) includes a communication device connected with the HEMS and a user terminal, storage storing power information of a home power device and a distributed energy resource connected with the HEMS and a rule-based algorithm and an optimization algorithm for controlling the HEMS, and a controller that generates a control strategy for the home power device and the distributed energy resource based on at least one of performance of the rule-based algorithm or the optimization algorithm, the power information of the home power device and the distributed energy resource, or a user setting input from the user terminal, or any combination thereof.

The application relates to the technical field of energy management, and particularly discloses an integrated energy management system of a light storage building based on edge computing, which comprises a data acquisition module, which is used for collecting inverter operation state data, current sensor operation state data and light data in the energy management system in real time through edge computing. The operation state of the inverter can be analyzed by combining the data collected in the data acquisition module, and whether the operation state of the inverter is abnormal can be analyzed. Then, the performance of the inverter can be evaluated in real time by combining the real-time collected energy storage system data, and whether the performance change of the inverter will cause additional energy loss and reduce the power generation efficiency can be further analyzed. Then, whether the inverter optimization operation is needed is decided based on the analysis result, that is, the inverter can be optimized to avoid the occurrence of the condition of reducing energy loss, so that the power generation efficiency is improved and the energy utilization is maximized.

This invention discloses a method and system for predicting converter gas and coordinating oxygen optimization based on trend perception, belonging to the field of intelligent control and energy optimization technology. The method for predicting converter gas and coordinating oxygen optimization includes: data acquisition and preprocessing; constructing a historical trend sample set; performing real-time single-time prediction of gas based on similarity matching; multi-step rolling prediction; and inputting the obtained multi-step prediction result sequence into an oxygen dynamic control model, thereby enabling real-time control of the oxygen supply. This invention is applicable to the energy management system of converter steelmaking processes, achieving dynamic balance between oxygen production and consumption, minimizing emissions, improving energy utilization, and reducing external purchase costs. It features accurate prediction, fast response, and strong adaptability.

The application provides a kind of energy storage converter VSG mode energy management coordination control method and system, comprising: according to the power of energy storage converter and operation command, calculate the total power of energy storage converter, and according to the state of charge of the battery corresponding to energy storage converter, divide the state of charge interval where each battery is located;Based on total power and state of charge interval, calculate the state of charge deviation rate of each battery according to the state of charge of each battery;Based on total power and state of charge deviation rate, calculate the active power allocated to each state of charge interval battery corresponding to energy storage converter respectively;According to the active power allocated to each energy storage converter respectively, obtain the active power given value of each energy storage converter.The method and system carry out energy management coordination control to energy storage converter, maintain the stable and reasonable operation of micro-grid system without energy management system, prevent overdischarge and overcharge of battery at the same time, and protect the service life of battery.

The application discloses an energy management system of a power cycle system, wherein the power cycle system is a combined power cycle system of a gas turbine and a fuel cell, and the energy management system comprises a fuel pump, a fuel distributor, a cold end heat exchanger, a cooling cycle loop and a hot end heat exchanger; and a control system is used for controlling the fuel pump, the fuel distributor and a circulating pump in the cooling cycle loop, wherein a fuel flow is obtained based on a required power of the power cycle system, a rotating speed of the fuel pump and an opening degree of the fuel distributor, a hot end heat exchanger heat is calculated through heat balance based on the fuel flow, and a cooling effect of the cooling cycle loop is realized based on the hot end heat exchanger heat and the rotating speed of the circulating pump. The application can simultaneously meet the energy saving and emission reduction and weight control requirements of an aircraft, and also solves the problem that the system power density is limited by the heat dissipation capacity.

An additive manufacturing system has a build surface supporting a precursor material to be fused by incident light energy. The system includes an optics assembly to direct the incident light energy along a beam path in a first direction toward the build surface, and an energy management system. The energy management system includes a beam block disposed along the beam path. The beam block has an aperture allowing the incident light energy to pass through the beam block in the first direction. The beam block also has a surface to absorb or deflect, away from the beam path, light energy traveling in a second direction different from the first direction. The energy management system also includes a heat sink to receive heat energy from at least a portion of the light energy traveling in the second direction.

An energy management system may include a tokenization platform coupled with at least one energy accounting system. The energy management system may include at least one transaction monitor that may be configured to fetch transaction trace data, from the at least one energy accounting system, for executing at least one energy-related transaction between at least one first entity and at least one second entity. The at least one transaction monitor may further be configured to perform transaction reconciliation for the at least one first entity and the at least one second entity based on the fetched transaction trace data. The energy management system may include at least one token manager that may be configured to orchestrate one or more energy-backed tokens based on the transaction reconciliation for the first entity and the second entity.

This invention discloses a mobile prefabricated photovoltaic-storage-diesel off-grid system based on project site scale, belonging to the field of off-grid power supply technology. The system includes a photovoltaic subsystem, an energy storage subsystem, a diesel engine subsystem, a mobile prefabricated structure, and an energy management system (EMS). Through a scale coefficient quantification model, customized matching of photovoltaic, energy storage, and diesel engine parameters with the number of personnel on site is achieved. The EMS employs dynamic power allocation across multiple subsystems, scale-differentiated start-up and shutdown, energy storage-diesel engine collaborative power replenishment, and mobile anti-interference strategies. Combined with the mobile prefabricated structure, it improves the stability and economy of off-grid power supply, solving problems such as poor adaptability, weak mobility, and limited diesel engine functionality in existing systems. It is suitable for temporary scenarios such as project sites.

The utility model relates to a multi -purpose civilian unmanned plane based on solar power supply belongs to unmanned plane technical field, including fuselage, the wing assembly of fuselage is provided with energy management system, and energy management system includes solar panel, drives power system through solar energy, to realize the take -off and landing and flight of unmanned plane. Wing assembly includes main wing, and the main wing is fixed on the fuselage of fuselage, and the main wing includes left wing and right wing, is fixed with the fuselage tail pipe of fuselage respectively through the bolt assembly, is symmetrically distributed in the both sides of fuselage, and solar panel adopts semi -flexible monocrystalline silicon material, and is evenly laid on the left wing and right wing upper surface. The multi -purpose civilian unmanned plane based on solar power supply and control method provided by the utility model improve the endurance ability through the continuous power supply of solar energy, and adapt to the operation demand of a variety of civilian scene.

This invention belongs to the field of building energy consumption monitoring technology and provides an anomaly detection method based on ARIMA residuals. It utilizes an ARIMA model to extract the residual sequence after the linear trend of data, learns normal patterns using LSTM-AE, and identifies anomalies. Simultaneously, it combines correlation coefficient matrices and anomaly propagation matrices to analyze fault propagation paths, featuring high detection accuracy and strong interpretability. This invention improves anomaly detection accuracy and effectively reduces false alarm and false negative rates. It also effectively handles sparse data, making it suitable for scenarios such as building energy consumption monitoring. By constructing correlation coefficient matrices and anomaly propagation matrices, it analyzes the propagation paths and impact mechanisms of anomalies in multi-parameter systems, providing a reliable basis for anomaly tracing and system optimization. Through practical application, this invention helps enterprises promptly identify and resolve energy waste problems, save energy costs, optimize energy management systems, and improve energy utilization efficiency.

The application provides a residual current circuit breaker-based energy storage system safety control method and device, which comprises the following steps: if it is determined that the commercial power supply is disconnected, a control instruction is sent to a grid-connected circuit breaker, a first port of an energy management system is set to 1, a second port is set to 0, a tripping command is obtained, the grid-connected circuit breaker is controlled to execute a tripping operation based on the tripping command; a stop running instruction is sent to the energy storage converter based on the action signal of the tripping operation to control the energy storage converter to stop running; a mode switching instruction is sent to the energy storage converter based on the state information of the energy storage converter stopping running to switch the energy storage converter to an off-grid running mode, off-grid running mode state information is obtained; based on the state information of the communication interruption, the state information that the first port outputs 1 and the second port outputs 0 and the off-grid running mode state information, a start instruction is sent to the energy storage converter to control the energy storage converter to start running. The application guarantees the reliable operation of the energy storage system in an unstable power grid area.

This invention discloses a ship shaft belt power generation energy management system based on multi-condition adaptation, relating to the field of power generation energy management technology. In actual scenarios such as a ship transitioning from economic cruising to a deceleration state amidst headwinds, or a sudden increase in ship grid load due to the concentrated deployment of refrigerated containers, the system can identify in advance, through the operating condition migration results Mig and migration layering results Lay, that the current situation is not a normal short-term fluctuation, but rather a process of evolving from the current operating condition to the target operating condition. Then, through the migration trigger result Trg, the corresponding actions are driven in advance to execute the shaft belt output adjustment process, parallel operation preparation process, or power supply mode switching process, thereby avoiding problems such as untimely response and decreased ship grid stability.

This invention discloses a power grid risk early warning method based on digital twins, belonging to the field of power grid risk early warning technology. The method includes: firstly, integrating data from the power grid energy management system, production management system, and information security system to construct a digital twin base for the primary system physical model, the secondary system mechanism model, and associated operating modes; then, considering the virtual automatic voltage control constraint calculation baseline situation; subsequently, injecting hypothetical equipment faults, and linking the execution of electromechanical transient analysis, relay protection action prediction, standby automatic transfer action prediction, and power flow recalculation to form a predictive topology; further, combining power source backtracking and dynamic voltage difference calculation at both ends after virtual disconnection of tie switches, identifying single-source risks, risks from the same upstream power source, and risks of double circuits on the same pole. This method achieves unified extrapolation of power grid operating status, secondary device actions, and structural risks, improving the completeness, foresight, and targeted level of risk identification and response.

This invention relates to the field of cable technology, and in particular to a self-heating phase change energy storage winding charging cable and its preparation method. From the inside out, the cable comprises a conductor core, an insulation layer, a spiral tensile thermally conductive skeleton, a phase change energy storage thermally conductive layer, a PTC self-regulating heating layer, a thermal insulation layer, and an outer sheath layer. The spiral tensile thermally conductive skeleton is integrally formed with radial thermally conductive fins. A high thermal conductivity carbon fiber mesh is embedded inside the phase change energy storage thermally conductive layer. A temperature sensing layer is provided between the PTC self-regulating heating layer and the phase change energy storage thermally conductive layer. The thermal insulation layer has a double-layer composite structure, and an anti-freeze and wear-resistant buffer layer is provided on the inner side of the outer sheath layer. All layers are coaxially integrated and tightly bonded, forming a closed-loop energy management system. This invention provides long-lasting power-off insulation, completely solving the problem of winding in extremely cold conditions; uniform heating without overheating, significantly improving safety performance; energy saving and consumption reduction, lowering usage and production costs; enhanced mechanical properties, suitable for extremely cold winding scenarios; and intelligent integrated control, requiring no manual intervention.

The embodiment of the present application relates to the technical field of electric power, and provides an electric power bidding system based on new energy power generation.The electric power bidding system comprises: a new energy power prediction system, which is used for predicting medium and long term output of a new energy power generation subject, generating new energy output characteristic parameters, and outputting the new energy output characteristic parameters to a transaction platform through a data interface; a user side energy management system, which is used for collecting production plans and equipment operation data of high energy load, inputting the data into a power consumption characteristic model, obtaining a flexible power consumption curve of the high energy load, and uploading a flexible power consumption curve segment of the high energy load that can participate in bidding to the transaction platform through a secure communication network; and a collaborative bidding algorithm server, which is used for constructing and solving a collaborative bidding model based on the new energy output characteristic parameters and the flexible power consumption curve segment, generating an optimal combined bidding scheme, and realizing bidirectional matching of the source side and the load side in the transaction.

The multi-level data correlation fusion photovoltaic and energy storage flexible system short-term load forecasting method constructs a multi-source heterogeneous data acquisition and preprocessing system to collect and process uncertain load data such as photovoltaic output power and building electricity load. Dynamic weighted fusion and correlation analysis are used to calculate the dynamic correlation weight between multi-source data, and multi-scale feature extraction is performed to construct a fusion data set. A multi-modal attention fusion forecasting model is developed, and a spatio-temporal joint attention mechanism is designed to realize explicit modeling of long-range correlation and nonlinear interaction features in high-dimensional data. An intelligent load forecasting and decision support platform is deployed, and the forecasting model is integrated into the energy management system. Combined with dynamic pricing and energy storage control strategies, comprehensive reports are generated, and real-time interaction and policy issuance are realized through the OPC UA protocol and the SCADA system. The present application effectively improves the accuracy of load forecasting and the stability of system operation, and realizes the optimization management and efficient utilization of energy.

The utility model relates to energy control cabinet technical field especially relates to a control cabinet for energy management system. Including the cabinet body, both ends of inside top end and bottom end of cabinet body are provided with adjusting mechanism, and the both sides of the both sides of the top and bottom of adjusting mechanism are provided with the locating block, and the locating block is connected with the adjusting plate slidingly. The utility model provides a control cabinet for energy management system, through the cooperation of cabinet body, placement board, adjusting mechanism and heat dissipation mechanism, thereby can according to the size difference of electric appliance, adjust the distance between two adjacent placement boards, and through the positioning of adjusting mechanism after adjusting, can also carry out the heat dissipation of electric appliance in the cabinet body when working through heat dissipation mechanism after the closure of cabinet body.